6. 成果発表

6.1. 論文等

６．成果発表
６．１．論文等
気象研究所の職員が、令和元年度に発表した原著論文や報告書,著書,翻訳,解説などの著作物について、単独・共著の区別なく掲載した。ただし、口頭発表に伴う著作物のうち学会予稿集など簡易なものについては除いている。
各著作物の情報は,整理番号, 著者, 発表年, タイトル. 掲載誌（書名）, 掲載巻, 掲載頁, doi（オンライン論文誌）または ISBN（著書（分担執筆含む））の順で掲載した。整理番号の後ろに「*」を付した著作物は、
原著論文査読付きであることを示している。
足立アホロ

1*

Ahoro Adachi and Hiroyuki Hashiguchi, 2019: Application of parametric speakers
to radio acoustic sounding system. Atmospheric Measurement Techniques,12, 5699-5715, doi:10.5194/amt-12-5699-2019.

足立光司

1*

Kajino, M., M. Deushi, T. T. Sekiyama, N. Oshima, K. Yumimoto, T. Y. Tanaka, J.
Ching, A. Hashimoto, T. Yamamoto, M. Ikegami, A. Kamada, M. Miyashita,
Y. Inomata, S. Shima, K. Adachi, Y. Zaizen, Y. Igarashi, H. Ueda, T. Maki, M.
Mikami., 2019: NHM-Chem, the Japan Meteorological Agency’s regional
meteorology – chemistry model: model evaluations toward the consistentpredictions of the chemical, physical, and optical properties of aerosols.
Journal of the Meteorological Society of Japan, 97（2）, 337-374.

2*

N. Hiranuma, K. Adachi, D. M. Bell, F. Belosi, H. Beydoun, B. Bhaduri, H.
Bingemer, C. Budke, H. -C. Clemen, F. Conen, K. M. Cory, J. Curtius, P. J.
DeMott, O. Eppers, S. Grawe, S. Hartmann, N. Hoffmann, K. Höhler, E.
Jantsch, A. Kiselev, T. Koop, G. Kul, 2019: A comprehensive characterizationof ice nucleation by three different types of cellulose particles immersed inwater . Atmospheric Chemistry and Physics, 19, 4823-4846,
doi:10.5194/acp-19-4823-2019.

3*

Ching, J., K. Adachi, Y. Zaizen, Y. Igarashi, M. Kajino, 2019: Aerosol mixing state
revealed by transmission electron microscopy pertaining to cloud formationand human airway deposition. npj Climate and Atmospheric Science, 2,
doi:10.1038/s41612-019-0081-9.

4*

Kouji Adachi, Arthur J. Sedlacek, Lawrence Kleinman, Stephen R. Springston,
Jian Wang, Duli Chand, John M. Hubbe, John E. Shilling, Timothy B.
Onasch, Takeshi Kinase, Kohei Sakata, Yoshio Takahashi, Peter R. Buseck,2019: Spherical tarball particles form through rapid chemical and physicalchanges of organic matter in biomass-burning smoke. Proceedings of the
National Academy of Sciences of the United State of America, 116,
doi:10.1073/pnas.1900129116.

5*小野﨑 晴佳, 阿部 善也, 中井 泉, 足立 光司, 五十嵐 康人, 大浦 泰嗣, 海老原 充,
宮坂 貴文, 中村 尚, 末木 啓介, 鶴田 治雄, 森口 祐一, 2019: 福島第一原子力発電所事故により 1 号機から放出された放射性エアロゾルの物理・化学的性状の解明. 分析化学, 68, 757-768, doi:10.2116/bunsekikagaku.68.757.

6*

T. Kinase, K. Adachi, N. Oshima, K. Goto‐Azuma, Y. Ogawa‐Tsukagawa, Y.
Kondo, N. Moteki, S. Ohata, T. Mori, M. Hayashi, K. Hara, H. Kawashima,
and K. Kita, 2020: Concentrations and Size Distributions of Black Carbon in
the Surface Snow of Eastern Antarctica in 2011 . Journal of GeophysicalResearch Atmosphere, 125, doi:10.1029/2019JD030737.
－ 198 －

6. 成果発表

足立 透

荒木健太郎

6.1. 論文等

1*

K. Bandholnopparat, M. Sato, T. Adachi, T. Ushio, Y. Takahashi, 2019: Optical
Properties of Intracloud and Cloud-to-Ground Discharges Derived from
JEM-GLIMS Lightning Observations. Journal of Atmospheric andSolar-Terrestrial Physics, 189, 87-97, doi:10.1016/j.jastp.2019.04.005.

2*

H. Y. Inoue, K. Kusunoki, T. Adachi, C. Fujiwara, N. Ishitsu, K. Arai, 2019: Singleand Dual-Doppler Radar Analysis of Misovortices within Snowband in Japan
Sea Coastal Region on 17 January 2017. SOLA, 15, 228-233.

3*

Miglietta, M. M.. K. Arai, K. Kusunoki, H. Inoue, T. Adachi, H. Niino, 2019:
Observational analysis of two waterspouts in northwestern Italy using an
OPERA Doppler radar.. Atmospheric Research, 234.

4

足立透, 2019: フェーズドアレイレーダーを用いた顕著な大気現象の観測. 日本風工学会誌, 44, 4, 371-380.

5*

T. Yamada, T.O. Sato, T. Adachi, H. Winkler, K. Kuribayashi, R. Larsson, N.
Yoshida, Y. Takahashi, M. Sato, A.B. Chen, R.R. Hsu, Y. Nakano, T. Fujinawa,
S. Nara, Y. Uchiyama, Y. Kasai, 2020: HO2 generation above sprite‐
producing thunderstorms derived from low‐noise SMILES observation
spectra. Geophysical Research Letters, 47, 3.

1

荒木健太郎, 2019: 雲は地震の前兆になるのか. 日本地震学会広報誌「なゐふる」, 117.

2

Araki, K., 2019: Application of 1DVAR technique using ground-based microwave
radiometer data to estimating thermodynamic environments in winterconvective clouds. CAS/JSC WGNE Research Activities in Atmospheric andOceanic Modelling, 49, 103-104.

3

Araki, K., 2019: Numerical simulation of potential impact of aerosols on heavy
snowfall events associated with Japan-sea Polar-airmass Convergence Zone.
CAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling,49, 403-404.

4

荒木健太郎, 2019: 雲の声に耳を傾けてみよう. 道徳と特別活動, 36, 58-59.

5佐藤陽祐, 當房豊, 山下克也, 荒木健太郎, 橋本明弘, 梶野瑞王, 中島孝, 三隅良平,
小池真, 岩崎杉紀, 川合秀明, 飯塚芳徳, 高橋麗, 山内晃, 折笠成宏, 齋藤泉, 藤田啓恵, 酒井健人, 郭威鎮, 田尻拓也, 島伸一郎, 岩本洋子, 2019: 「2018 年度エ
アロゾル・雲・降水の相互作用に関する研究集会」報告. 天気, 66, 479-484.

6

荒木健太郎, 2019: 積乱雲を体験するということ. 気象キャスターネットワーク会報「空色レポート」, 17, 1-2.

7

荒木健太郎, 2019: 南岸低気圧による大雪研究のこれまで. 気象研究ノート, 239, 日
本気象学会, 1-45pp, ISBN: 987-4904129227.

8

荒木健太郎, 2019: アメリカ北東部における大雪"Northeast Snowstorm". 気象研究
ノート, 239, 日本気象学会, 46-82pp, ISBN: 987-4904129227.

9

荒木健太郎, 2019: 関東甲信地方における大雪の気候学的特徴. 気象研究ノート, 239,
日本気象学会, 83-93pp, ISBN: 987-4904129227.

10

荒木健太郎, 2019: 南岸低気圧に伴う関東平野の雪と雨の総観スケール環境場. 気象研究ノート, 240, 日本気象学会, 163-173pp, ISBN: 987-4904129234.

11

荒木健太郎, 吉田聡, 北畠尚子, 加藤輝之, 2019: 関東平野に大雪・大雨をもたらす南岸低気圧の特徴. 気象研究ノート, 240, 日本気象学会, 174-188pp, ISBN:
987-4904129234.

12

荒木健太郎, 北畠尚子, 加藤輝之, 2019: 南岸低気圧による関東大雪における総観・メ－ 199 －

6. 成果発表

6.1. 論文等

ソ環境場と雲の相互作用. 気象研究ノート, 240, 日本気象学会, 189-199pp,
ISBN: 987-4904129234.
13

荒木健太郎, 2019: Cold-Air Damming と沿岸前線を伴う関東大雪のメソスケール環
境場. 気象研究ノート, 240, 日本気象学会, 235-255pp, ISBN: 987-4904129234.

14

荒木健太郎, 2019: 高密度地上観測網による 2014 年 2 月関東甲信地方大雪の観測研
究. 気象研究ノート, 240, 日本気象学会, 285-298pp, ISBN: 987-4904129234.

15

荒木健太郎, 2019: 2014 年 2 月の関東甲信地方大雪事例における総観・メソスケール
環境場. 気象研究ノート, 240, 日本気象学会, 299-321pp, ISBN:
987-4904129234.

16

荒木健太郎, 村上正隆, 2019: 南岸低気圧に伴う関東甲信地方大雪時の降雪・雲物理特性. 気象研究ノート, 240, 日本気象学会, 323-338pp, ISBN: 987-4904129234.

17

荒木健太郎, 2019: シチズンサイエンスによる高密度雪結晶観測. 気象研究ノート,
241, 日本気象学会, 551-555pp, ISBN: 987-4904129241.

18

荒木健太郎, 2019: 南岸低気圧とそれに伴う降水現象の予測可能性. 気象研究ノート,
241, 日本気象学会, 557-565pp, ISBN: 987-4904129241.

19

荒木健太郎, 2019: 南岸低気圧による大雪研究の現状と課題. 気象研究ノート, 241,
日本気象学会, 605-614pp, ISBN: 987-4904129241.

20

加藤輝之, 荒木健太郎, 2019: 2014 年 2 月の大雪発生要因と過去事例との比較. 気象研
究ノート, 240, 日本気象学会, 256-267pp, ISBN: 987-4904129234.

21

山下克也, 中井専人, 石坂雅昭, 本吉弘岐, 荒木健太郎, 村上正隆, 斎藤篤思, 田尻拓也, 2019: 2014 年 2 月大雪時の東京西部と山梨東部の降雪粒子種の特徴. 気象研
究ノート, 240, 日本気象学会, 365-382pp, ISBN: 987-4904129234.

22

田口仁, 荒木健太郎, 上石勲, 臼田裕一郎, 2019: WebGIS による複合要素の可視化システムの関東大雪事例への適用. 気象研究ノート, 241, 日本気象学会,
513-522pp, ISBN: 987-4904129241.

23

荒木健太郎, 2020: 研究を志す若い人へ. 科学の最前線を切りひらく！, 117.

安藤 忍

1

安藤忍, 影山勇雄, 2019: ALOS-2/PALSAR-2 データを用いた吾妻山の SAR 干渉解析
結果. 火山噴火予知連絡会報, 132, 177-185.

石井憲介

1*

Fujita, E., Y. Iriyama, T. Shimbori, E. Sato, K. Ishii, Y. J. Suzuki, K. Tsunematsu,
and K. Kiyosugi, 2019: Evaluating volcanic hazard risk through numericalsimulations. Journal of Disaster Research, 14, 604-615,
doi:10.20965/jdr.2019.p0604.

2

佐藤英一, 福井敬一, 新堀敏基, 石井憲介, 徳本哲男, 2019: 気象レーダーで観測した2019 年１月 17 日口永良部島噴火 に伴う噴煙・火山灰雲エコーについて. 火山
噴火予知連絡会会報, 132, 420-426.

1

Wanninkhof, R., P. A. Pickers, A. M. Omar, A. Sutton, A. Murata, A. Olsen et al.,
2019: A Surface Ocean CO2 Reference Network, SOCONET and AssociatedMarine Boundary Layer CO2 Measurements. Frontiers in Marine Science, 6,400, doi:10.3389/fmars.2019.00400.

2*

Schlunegger, S., K. B. Rodgers, J. L. Sarmiento, T. Frölicher, J. Dunne, M. Ishii, R.
Slater, 2019: Emergence of anthropogenic signals in the ocean carbon cycle.
Nature Climate Change.

3*

Olsen, A., N. Lange, R. M. Key, T. Tanhua, M. Álvarez, S. Becker, H. C. Bittig, B. R.
Carter, L. Cotrim da Cunha, R. A. Feely, S. van Heuven, M. Hoppema, M.
Ishii, E. Jeansson, S. D. Jones, S. Jutterstrom, M. K. Karlsen, A. Kozyr, S. K.

石井雅男－ 200 －

6. 成果発表

6.1. 論文等

Lauvset et al., 2019: GLODAPv2.2019 – an update of GLODAPv2 . Earth
System Science Data, 2019, 1-39.

石井正好

4

Sloyan, B. M., R. Wanninkhof, M. Kramp, G.C. Johnson, L. D. Talley, T. Tanhua etal., 2019: The Global Ocean Ship-Based Hydrographic Investigations
Program (GO-SHIP): A Platform for Integrated Multidisciplinary Ocean
Science. Frontiers in Marine Science, 6, 445, doi:10.3389/fmars.2019.00445.

5

Tanhua, T., A. McCurdy, A. Fischer, W. Appeltans, N. Bax, K. Currie et al., 2019:
What We Have Learned From the Framework for Ocean Observing:
Evolution of the Global Ocean Observing System. Frontiers in Marine
Science, 6, 471, doi:10.3389/fmars.2019.00471.

6

Testor, P., B. de Young, D.L. Rudnick, S.Glenn, D. Hayes, C. M. Lee et al., 2019:
OceanGliders: A Component of the Integrated GOOS. Frontiers in Marine
Science, 6, 422, doi:10.3389/fmars.2019.00422.

7*

Ono, H., N. Kosugi, K. Toyama, H. Tsujino, A. Kojima, K. Enyo, Y. Iida, T. Nakano,and M. Ishii, 2019: Acceleration of Ocean Acidification in the Western North
Pacific. Geophysical Research Letters, 46, 13161, doi:10.1029/2019GL085121.

8*

Wada, S., Ishii, M., Kosugi, N., Sasano, D., Matushita, W., Omori, Y. and Hama, T.,
2020: Seasonal dynamics of seawater CO2 system at a coastal site near thesouthern tip of Izu Peninsula. Journal of Oceanography, 76, 227,
doi:10.1007/s10872-020-00541-x.

1

Benoit Meyssignac, Tim Boyer, Zhongxiang Zhao, Maria Z Hakuba, Felix W
Landerer, Detlef Stammer, Armin Köhl, Seiji Kato, Tristan L'Ecuyer, Michael
Ablain, John Patrick Abraham, Alejandro Blazquez, Anny Cazenave, John A
Church, Rebecca Cowley, Lijing Cheng, 2019: Measuring Global Ocean Heat
Content to estimate the Earth Energy Imbalance. Front. Mar. Sci., 20,
doi:10.3389/fmars.2019.00432.

2*

Johnson, G. C., J. M. Lyman, T. Boyer, L. Chen, C. M. Domingues, J. Gilson, M.
Ishii, R. Killick, D. Monselesan, and S. E. Wijffels, 2019: Ocean heat content[in “State of the Climate in 2018”].. Bulletin of the American MeteorologicalSociety, 100, 74, doi:10.1175/2019BAMSStateoftheClimate.1.

3

石井正好, 2019: 気象談話室「明治 150 年、歴史的観測資料と気候解析」. 天気, 66,
601-608.

4*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,
R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.

5*

Watanabe, Sh., M. Fujita, S. Kawazoe, S. Sugimoto, Y. Okada, R. Mizuta, M. Ishii,
2020: Frequency change of clear-air turbulence over the North Pacific under2 K global warming – ensemble projections using a 60-km atmosphericgeneral circulation model. Journal of the Meteorological Society of Japan, 97,
757-771, doi:10.2151/jmsj.2019-038.

6*

Hatsuzuka D, Sato T, Yoshida K, Ishii M, and Mizuta R, 2020: Regional projectionof tropical-cyclone-induced extreme precipitation around Japan based onlarge ensemble simulations.. SOLA, 16, 23-29, doi:10.2151/sola.2020-005.

－ 201 －

6. 成果発表

石川一郎

石島健太郎

石元裕史

猪上華子

今田由紀子

6.1. 論文等

7*

Nakagawa, Y., Y. Onoue, S. Kawahara, F. Araki, K. Koyamada, D. Matsuoka, Y.
Ishikawa, M. Fujita, S. Sugimoto, Y. Okada, S. Kawazoe, Sh. Watanabe, M.
Ishii, R. Mizuta, A. Murata, and Hiroaki Kawase, 2020: Developments of asystem for efficient content-based retrieval to analyze Large volume climate
data.. Progress in Earth and Planetary Science,
doi:10.1186/s40645-019-0315-9.

1

藤井, 陽介, 石川, 一郎, 豊田, 隆寛, 浦川, 昇吾, 杉本, 裕之, 2019: 全球結合予測のための海洋データ同化システムの開発. 平成 30 年度「異常気象と長期変動」研
究集会報告, 67-70.

2*

Kobayashi, C., and I. Ishikawa, 2019: Prolonged northern-mid-latitude
tropospheric warming in 2018 well predicted by the JMA operational
seasonal prediction system. SOLA, 15A, 31-36, doi:10.2151/sola.15A-006.

1*

Ito, A., K. Nishina, K. Ishijima, S. Hashimoto and M. Inatomi, 2019: Emissions of
nitrous oxide (N2O) from soil surfaces and their historical changes in East
Asia: a model-based assessment. Progress in Earth and Planetary Science, 5,
doi:10.1186/s40645-018-0215-4.

2

石島健太郎 他, 2019: 6.地球環境/6-9 放射強制力と長寿命温室効果気体の濃度変化;
8.物質編/温室効果気体. 大気環境の事典.

3*

Matsueda, H., R. R. Buchholz, K.Ishijima, H. M. Worden, D. Hammerling, and T.
Machida, 2019: Interannual variation of upper tropospheric CO over thewestern Pacific linked with Indonesian fires. SOLA, 15, 205-210,
doi:10.2151/sola.2019-037.

4

町田敏暢, 坪井一寛, 丹羽洋介, 梅澤拓, 石島健太郎, 松枝秀和, 2020: 民間旅客機が切り拓く大気中二酸化炭素の新たな観測ネットワーク. ＪＥＴＩ, 68, 83-86.

5

石島健太郎, 2020: Greenhouse Gases Measurement Technique-2019 参加報告. 大気化学研究, 42.

1*

Okamoto, H., K. Sato, A. Borovoi, H. Ishimono, K. Masuda, A. Konoshonkin, N.
Kustova, 2019: Interpretation of lidar ratio and depolarization ratio of ice
clouds using spaceborne high-spectral-resolution polarization lidar. Optics
Express, 27, 36587-36600, doi:10.1364/OE.27.036587.

2*Letu, H., K. Yang, T. Y. Nakajima, H. Ishimoto, T. M. Nagao, J. Riedi, A. J. Baran,
R. Ma, T. Wang, H. Shang, P. Khatri, L. Chen, C. Shi, J. Shi, 2020:
High-resolution retrieval of cloud microphysical properties and surface solar
radiation using Himawari-8/AHI next-generation geostationary satellite.
Remote Sensing of Environment, 239, 111583, doi:10.1016/j.rse.2019.111583.

1*

H. Y. Inoue, K. Kusunoki, T. Adachi, C. Fujiwara, N. Ishitsu, K. Arai, 2019: Singleand Dual-Doppler Radar Analysis of Misovortices within Snowband in Japan
Sea Coastal Region on 17 January 2017. SOLA, 15, 228-233.

2*

Miglietta, M. M.. K. Arai, K. Kusunoki, H. Inoue, T. Adachi, H. Niino, 2019:
Observational analysis of two waterspouts in northwestern Italy using an
OPERA Doppler radar.. Atmospheric Research, 234.

3*

Kusunoki K., K. Arai, H. Y. Inoue, and C. Fujiwara, 2019: Doppler radarobservations of a wintertime anticyclonic misocyclone associated with surface
wind gust on the coast of the Sea of Japan.. SOLA, 15, 234-237.

1*

Imada, Y., M. Watanabe, H. Kawase, H. Shiogama, and M. Arai, 2019: The July
2018 High Temperature Event in Japan Could Not Have Happened without－ 202 －

6. 成果発表

6.1. 論文等

Human-Induced Global Warming. SOLA, 15A, 8-12,
doi:10.2151/sola.15A-002.

碓氷典久

2*

Kawase, H., Y. Imada, H. Sasaki, T. Nakaegawa, A. Murata, M. Nosaka, and I.
Takayabu, 2019: Contribution of Historical Global Warming to Local‐Scale
Heavy Precipitation in Western Japan Estimated by Large Ensemble High‐
Resolution Simulations. Journal of Geophysical Research Atmosphere, 124,6093-6103, doi:10.1029/2018JD030155.

3

今田由紀子, 2019: 温暖化がなければ 2018 年の猛暑はなかった. 岩波「科学」, 89,
659-661.

4*

Shiogama, H., T. Hasegawa, S. Fujimori, D. Murakami, K. Takahashi, K. Tanaka,
S. Emori, I. Kubota, M. Abe, Y. Imada, M. Watanabe, D. Mitchell, N. Schaller,
J. Sillmann, E. Fischer, J. Scinocca, I. Bethke, L. Lierhammer, J. Takakura,
T. Trautmann, P. Doell, 2019: Limiting global warming to 1.5ºC will lower
increases in inequalities of four hazard indicators of climate change.
Environmental Research Letters, 14, 124022, doi:10.1088/1748-9326/ab5256.

5*

Kawase, H., Y. Imada, H. Tsuguti, T. Nakaegawa, N. Seino, A. Murata, and I.
Takayabu, 2020: The Heavy Rain Event of July 2018 in Japan enhanced byhistorical warming. Bulletin of the American Meteorological Society, 101,
S109-S114.

1

Usui, N., 2019: Progress of studies on Kuroshio path variations south of Japan in
the past decade. "Kuroshio Current: Physical, Biogeochemical and Ecosystem

Dynamics", Takeyoshi Nagai, Hiroaki Saito, Koji Suzuki, Motomitsu
Takahashi (eds.), AGU Geophysical Monograph Series. AGU-Wiley, 147-161,
doi:10.1002/9781119428428.ch9.

浦川昇吾

2*

Toyoda, T., N. Hirose, L. S. Urakawa, H. Tsujino, H. Nakano, N. Usui, Y. Fujii, K.
Sakamoto, and G. Yamanaka, 2019: Effects of inclusion of adjoint sea ice
rheology on backward sensitivity evolution examined using an adjoint
ocean–sea ice model. Monthly Weather Review, 147, 2145-2162,
doi:10.1175/MWR-D-18-0198.1.

3

Fujii, Y., N. Usui, et al., 2019: Observing System Evaluation Based on Ocean Data
Assimilation and Prediction Systems: On-Going Challenges and a Future
Vision for Designing and Supporting Ocean Observational Networks.
Frontiers in Marine Science, 6, 417, doi:10.3389/fmars.2019.00417.

4*

Sakamoto, K., H. Tsujino, H. Nakano, S. Urakawa, T. Toyoda, N. Hirose, N. Usuiand G. Yamanaka, 2019: Development of a 2km-resolution ocean model
covering the coastal seas around Japan for operational application. Ocean
Dynamics, doi:10.1007/s10236-019-01291-1.

5*

Hirose, N., N. Usui, K. Sakamoto, H. Tsujino, G. Yamanaka, H. Nakano, S.
Urakawa, T. Toyoda, Y. Fujii, and N. Kohno, 2019: Development of a new
operational system for monitoring and forecasting coastal and open oceanstates around Japan. Ocean Dynamics, 69, 1333-1357.

6

広瀬成章, 坂本圭, 碓氷典久, 山中吾郎, 高野洋雄, 2020: 日本沿岸海況監視予測シス
テム 10 年再解析値（JPN Atlas 2020）. 気象研究所技術報告, 83,
doi:10.11483/mritechrepo.83.

1

藤井, 陽介, 石川, 一郎, 豊田, 隆寛, 浦川, 昇吾, 杉本, 裕之, 2019: 全球結合予測のための海洋データ同化システムの開発. 平成 30 年度「異常気象と長期変動」研－ 203 －

6. 成果発表

6.1. 論文等

究集会報告, 67-70.
2*

Toyoda, T., N. Hirose, L. S. Urakawa, H. Tsujino, H. Nakano, N. Usui, Y. Fujii, K.
Sakamoto, and G. Yamanaka, 2019: Effects of inclusion of adjoint sea ice
rheology on backward sensitivity evolution examined using an adjoint
ocean–sea ice model. Monthly Weather Review, 147, 2145-2162,
doi:10.1175/MWR-D-18-0198.1.

3*

Sakamoto, K., H. Tsujino, H. Nakano, S. Urakawa, T. Toyoda, N. Hirose, N. Usuiand G. Yamanaka, 2019: Development of a 2km-resolution ocean model
covering the coastal seas around Japan for operational application. Ocean
Dynamics, doi:10.1007/s10236-019-01291-1.

4*

Toyoda, T., K. Iwamoto, L. S. Urakawa, H. Tsujino, H. Nakano, K. Sakamoto, G.
Yamanaka, Y. Komuro, S. Nishino, and J. Ukita, 2019: Incorporation ofsatellite-derived thin-ice data into a global OGCM simulation. Climate
Dynamics, 53, 7113-7130, doi:10.1007/s00382-019-04979-8.

5*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,
R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.

6*

Hirose, N., N. Usui, K. Sakamoto, H. Tsujino, G. Yamanaka, H. Nakano, S.
Urakawa, T. Toyoda, Y. Fujii, and N. Kohno, 2019: Development of a new
operational system for monitoring and forecasting coastal and open oceanstates around Japan. Ocean Dynamics, 69, 1333-1357.

7豊田隆寛, 木村詞明, 浦川昇吾, 辻野博之, 中野英之, 坂本圭, 山中吾郎, 2020: 海洋・海氷シミュレーションにおける海氷速度データの利用. 月刊海洋, 52, 42-47.

8*

Stewart, K. D., W. M. Kim, S. Urakawa, A. McC. Hogg, S. Yeager, H. Tsujino, H.
Nakano, A. E. Kiss, and G. Danabasoglu, 2020: JRA55-do-based repeat year
forcing datasets for driving ocean-sea-ice models. Ocean Modelling, 147,
101557, doi:10.1016/j.ocemod.2019.101557.

遠藤洋和

1*

Sun, N., T. Zhou, X. Chen, H. Endo, A. Kitoh, and B. Wu, 2020: Amplified tropical
Pacific rainfall variability related to background SST warming. Climate
Dynamics, 54, 2387-2402, doi:10.1007/s00382-020-05119-3.

大島 長

1*

Kajino, M., M. Deushi, T. T. Sekiyama, N. Oshima, K. Yumimoto, T. Y. Tanaka, J.
Ching, A. Hashimoto, T. Yamamoto, M. Ikegami, A. Kamada, M. Miyashita,
Y. Inomata, S. Shima, K. Adachi, Y. Zaizen, Y. Igarashi, H. Ueda, T. Maki, M.
Mikami., 2019: NHM-Chem, the Japan Meteorological Agency’s regional
meteorology – chemistry model: model evaluations toward the consistentpredictions of the chemical, physical, and optical properties of aerosols.
Journal of the Meteorological Society of Japan, 97（2）, 337-374.

2*

Kawai, H., S. Yukimoto, T. Koshiro, N. Oshima, T. Tanaka, H. Yoshimura, and R.
Nagasawa, 2019: Significant Improvement of Cloud Representation in Global
Climate Model MRI-ESM2. Geoscientific Model Development, 12, 2875-2897,
doi:10.5194/gmd-12-2875-2019.

3*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,－ 204 －

6. 成果発表

6.1. 論文等

R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.
4*

Mori, T., K. Goto−Azuma, Y. Kondo, Y. Ogawa−Tsukagawa, K. Miura, M.
Hirabayashi, N. Oshima, M. Koike, K. Kupiainen, N. Moteki, S. Ohata. P. R.
Sinha, K. Sugiura, T. Aoki, M. Schneebeli, K. Steffen, A. Sato, A. Tsushima, V.
Makarov, S. Omiya, A. Sugimoto, 2019: Black carbon and inorganic aerosols
in Arctic snowpack. Journal of Geophysical Research Atmosphere, 124,
13325-13356, doi:10.1029/2019JD030623.

5*

T. Kinase, K. Adachi, N. Oshima, K. Goto‐Azuma, Y. Ogawa‐Tsukagawa, Y.
Kondo, N. Moteki, S. Ohata, T. Mori, M. Hayashi, K. Hara, H. Kawashima,
and K. Kita, 2020: Concentrations and Size Distributions of Black Carbon in
the Surface Snow of Eastern Antarctica in 2011 . Journal of GeophysicalResearch Atmosphere, 125, doi:10.1029/2019JD030737.

1*

Wada, A., H. Tsuguti, K. Okamoto, and N. Seino, 2019: Air-Sea Coupled Data
Assimilation Experiment for Typhoons Kilo, Etau and the September 2015
Kanto-Tohoku Heavy Rainfall with the Advanced Microwave ScanningRadiometer 2 Sea Surface Temperature. Journal of the MeteorologicalSociety of Japan, 97, 553-575, doi:10.2151/jmsj.2019-029.

2*

Okamoto, K. , Y. Sawada and M. Kunii, 2020: Comparison of assimilating all‐sky
and clear‐sky infrared radiances from Himawari‐8 in a mesoscale system..
Quarterly Journal of the Royal Meteorological Society, 145, 745-766,
doi:10.1002/qj.3463.

3*

Sawada, Y., K. Okamoto, M. Kunii, and T. Miyoshi, 2020: Assimilating
every-10-minute Himawari-8 infrared radiances to improve convective
predictability. Journal of Geophysical Research Atmosphere, 124, 2546-2561,
doi:10.1029/2018JD029643.

奥山 哲

1*

Taku Ozawa, Yosuke Aoki, Satoshi Okuyama, Xiaowen Wang, Yousuke Miyagi,
Akira Nohmi, 2019: Database of crustal deformation observed by SAR:
Improvement of atmospheric delay mitigation for satellite SARinterferometry and development of L-band multi-type portable SAR. Journalof Disaster Research, 14 , 713-727, doi: 10.20965/jdr.2019.p0713.

尾瀬智昭

1*

Ose, T., 2019: Characteristics of Future Changes in Summertime East AsianMonthly Precipitation in MRI-AGCM Global Warming Experiments .
Journal of the Meteorological Society of Japan, 97, 317-335,
doi:10.2151/jmsj.2019-018.

2*

Horinouchi, T., S. Matsumura, T. Ose and Y. N. Takayabu, 2019: Jet-Precipitation
Relation and Future Change of the Mei-Yu-Baiu Rainband and Subtropical
Jet in CMIP5 coupled GCM Simulations. Journal of Climate, 32, 2247-2259,
doi:10.1175/JCLI-D-18-0426.1.

3*

Yokoyama C., Y. N. Takayabu, O. Arakawa, and T.Ose, 2019: A study on Future
Projections of Precipitation Characteristics around Japan in Early Summer
Combining GPM DPR Observation and CMIP5 Large-Scale Environments.
Journal of Climate, 32, 5251-5274, doi:10.1175/JCLI-D-18-0656.1.

4*Ose, T., 2019: Future changes in summertime East Asian monthly precipitation in

岡本幸三－ 205 －

6. 成果発表

6.1. 論文等

CMIP5 and their dependence on present-day model climatology. Journal of
the Meteorological Society of Japan, 97, 1041-1053, doi:10.215/jmsj.2019-055.
5*

Kusunoki, S., T. Ose, and M. Hosaka, 2020: Emergence of unprecedented climatechange in projected future precipitation. Scientific Reports, 10,
doi:10.1038/s41598-020-61792-8.

小野耕介

1*

K. Ono, 2020: Extension of the Lanczos Algorithm for Simultaneous Computationof Multiple Targeted Singular Vector Sets. Quarterly Journal of the Royal
Meteorological Society, 146, 454-467, doi:10.1002/qj.3686.

小野 恒

1*

Ono, H., N. Kosugi, K. Toyama, H. Tsujino, A. Kojima, K. Enyo, Y. Iida, T. Nakano,and M. Ishii, 2019: Acceleration of Ocean Acidification in the Western North
Pacific. Geophysical Research Letters, 46, 13161, doi:10.1029/2019GL085121.

小畑 淳

1*

Obata, A., and Y. Adachi, 2019: Earth system model response to large midlatitudeand high-latitude volcanic eruptions. Journal of Geophysical Research
Biogeosciences, 124, 1865-1886, doi:10.1029/2018JG004696.

2*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,
R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.

1*

Kuo, T.-H., M. Murakami, T. Tajiri, and N. Orikasa, 2019: Cloud Condensation
Nuclei and Immersion Freezing Abilities of Al2O3 and Fe2O3 Particles
Measured with the Meteorological Research Institute’s Cloud Simulation
Chamber. Journal of the Meteorological Society of Japan, 97, 597-614,
doi:10.2151/jmsj.2019-032.

2

Hashimoto, A. , N. Orikasa, T. Tajiri, Y. Zaizen, and M. Murakami, 2019:
Numerical simulation of shallow cloud formation in the United ArabEmirates. CAS/JSC WGNE Research Activities in Atmospheric and Oceanic
Modelling, 49, 5-09.

3佐藤陽祐, 當房豊, 山下克也, 荒木健太郎, 橋本明弘, 梶野瑞王, 中島孝, 三隅良平,
小池真, 岩崎杉紀, 川合秀明, 飯塚芳徳, 高橋麗, 山内晃, 折笠成宏, 齋藤泉, 藤田啓恵, 酒井健人, 郭威鎮, 田尻拓也, 島伸一郎, 岩本洋子, 2019: 「2018 年度エ
アロゾル・雲・降水の相互作用に関する研究集会」報告. 天気, 66, 479-484.

4*

Hashimoto, A., H. Motoyoshi, N. Orikasa, and R. Misumi, 2020: Process-tracking
scheme based on bulk microphysics to diagnose the features of snow
particles. SOLA, 16, 51-56, doi:10.2151/sola.2020-009.

1*

Kajino, M., M. Deushi, T. T. Sekiyama, N. Oshima, K. Yumimoto, T. Y. Tanaka, J.
Ching, A. Hashimoto, T. Yamamoto, M. Ikegami, A. Kamada, M. Miyashita,
Y. Inomata, S. Shima, K. Adachi, Y. Zaizen, Y. Igarashi, H. Ueda, T. Maki, M.
Mikami., 2019: NHM-Chem, the Japan Meteorological Agency’s regional
meteorology – chemistry model: model evaluations toward the consistentpredictions of the chemical, physical, and optical properties of aerosols.
Journal of the Meteorological Society of Japan, 97（2）, 337-374.

2*

Wada, R., Y. Sadanaga, S. Kato, N. Katsumi, H. Okochi, Y. Iwamoto, K. Miura, H.
Kobayashi, H. Kamogawa, J. Matsumoto, S. Yonemura, Y. Matsumi, M.
Kajino, S. Hatakeyama, 2019: Ground-based observation of

折笠成宏

梶野瑞王

－ 206 －

6. 成果発表

6.1. 論文等

lightning-induced nitrogen oxides at a mountaintop in free troposphere.
Journal of Atmospheric Chemistry, 76(2), 133-150,
doi:10.1007/s10874-019-09391-4.
3*

Ching, J., K. Adachi, Y. Zaizen, Y. Igarashi, M. Kajino, 2019: Aerosol mixing state
revealed by transmission electron microscopy pertaining to cloud formationand human airway deposition. npj Climate and Atmospheric Science, 2,
doi:10.1038/s41612-019-0081-9.

4佐藤陽祐, 當房豊, 山下克也, 荒木健太郎, 橋本明弘, 梶野瑞王, 中島孝, 三隅良平,
小池真, 岩崎杉紀, 川合秀明, 飯塚芳徳, 高橋麗, 山内晃, 折笠成宏, 齋藤泉, 藤田啓恵, 酒井健人, 郭威鎮, 田尻拓也, 島伸一郎, 岩本洋子, 2019: 「2018 年度エ
アロゾル・雲・降水の相互作用に関する研究集会」報告. 天気, 66, 479-484.

5*Chen, L., Y. Gao, M. Zhang, J. S. Fu, J. Zhu, H. Liao, J. Li, K. Huang, B. Ge, X.
Wang, Y. F. Lam, C. Y. Lin, S. Itahashi, T. Nagashima, M. Kajino, K. Yamaji,
Z. Wang, J.-I. Kurokawa, 2019: MICS-Asia III: Multi-model comparison andevaluation of aerosol over East Asia. Atmospheric Chemistry and Physics, 19,11911-11937, doi:10.5194/acp-19-11911-2019.

6*

Li, J., T. Nagashima, L. Kong, B. Ge, K. Yamaji, J. S. Fu, X. Wang, Q. Fan, S.
Itahashi, H.-J. Lee, C.-H. Kim, C.-Y. Lin, M. Zhang, Z. Tao, M. Kajino, H.
Liao, M. Li, J.-H. Woo, J.-I. Kurokawa, Q. Wu, H. Akimoto, G. R. Carmichael,
Z. Wang, 2019: Model evaluation and inter-comparison of surface-level ozone
and relevant species in East Asia in the context of MICS-Asia phase III Part
I: overview. Atmospheric Chemistry and Physics, 19, 12993-13015,
doi:10.5194/acp-19-12993-2019.

7*

Kajino, M., S. Hayashida, T. T. Sekiyama, M. Deushi, K. Ito, and X. Liu., 2019:
Detectability assessment of a satellite sensor for lower tropospheric ozone
responses to its precursors emission changes in East Asian summer.
Scientific Reports, 9, 19629, doi:10.1038/s41598-019-55759-7.

8*

Kong, L., X. Tang, J. Zhu, Z. Wang, J. S. Fu, X. Wang, S. Itahashi, K. Yamaji, T.
Nagashima, H.-J. Lee, C.-H. Kim, C.-Y. Lin, L. Chen, M. Zhang, Z. Tao, J. Li,
M. Kajino, H. Liao, K. Sudo, Y. Wang, Y. Pan, G. Tang, M. Li, Q. Wu, B. Ge, G.
R. Carmichael, 2020: Evaluation and uncertainty investigation of the NO2,
CO and NH3 modeling over China under the framework of MICS-Asia III.
Atmospheric Chemistry and Physics, 20, 181-202,
doi:10.5194/acp-20-181-2020.

9*Imamura, N., G. Katata, M. Kajino, M. Kobayashi, Y. Itoh, A. Akama, 2020:
Fogwater deposition of radiocesium in the forested mountains of East Japan
during the Fukushima Daiichi Nuclear Power Plant accident: A key process
in regional radioactive contamination. Atmospheric Environment, 224.

10* 猪股弥生, 梶野瑞王, 植田洋匡, 2020: 2001-2015 年における大気中有害大気汚染物質
濃度のトレンド解析. 大気環境学会誌, 55(2), 78-91.
11* Itahashi, S., B. Ge, K. Sato, J. S. Fu, X. Wang, K. Yamaji, T. Nagashima, J. Li, M.
Kajino, H. Liao, M. Zhang, Z. Wang, M. Li, J. Kurokawa, G. R. Carmichael,
and Z. Wang, 2020: MICS-Asia III: Overview of model inter-comparison andevaluation for acid deposition over Asia. Atmospheric Chemistry and Physics,
20(5), 2667-2693.
勝間田明男

1

Yoshida, Y., A. Katsumata, and T. Kunitomo, 2020: Characteristics of ACROSS－ 207 －

6. 成果発表

6.1. 論文等

signals from transmitting stations in the Tokai area and observed by Hi-net.
Active Geophysical Monitoring 2nd Ed., 353-371.
川合秀明

川瀬宏明

1*

Kawai, H., S. Yukimoto, T. Koshiro, N. Oshima, T. Tanaka, H. Yoshimura, and R.
Nagasawa, 2019: Significant Improvement of Cloud Representation in Global
Climate Model MRI-ESM2. Geoscientific Model Development, 12, 2875-2897,
doi:10.5194/gmd-12-2875-2019.

2

佐藤陽祐, 當房豊, 山下克也, 荒木健太郎, 橋本明弘, 梶野瑞王, 中島孝, 三隅良平,
小池真, 岩崎杉紀, 川合秀明, 飯塚芳徳, 高橋麗, 山内晃, 折笠成宏, 齋藤泉, 藤田啓恵, 酒井健人, 郭威鎮, 田尻拓也, 島伸一郎, 岩本洋子, 2019: 「2018 年度エ
アロゾル・雲・降水の相互作用に関する研究集会」報告. 天気, 66, 479-484.

3*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,
R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.

4

川合秀明, 北村祐二, 柴田清孝, 2020: 下位蜃気楼の光路計算 ―マダガスカルで見た蜃気楼―. 天気, 67, 129-137.

1*

Murata, A., S. I. Watanabe, H. Sasaki, H. Kawase, and M. Nosaka, 2019: The
development of a resolution-independent tropical cyclone detection scheme
for high-resolution climate model simulations. Journal of the MeteorologicalSociety of Japan, 97, 519-531, doi:10.2151/jmsj.2019-035.

2*

Nosaka, M., H. Kawase, H. Sasaki, and A. Murata, 2019: Influence of the
Temporal Resolution of Sea Surface Temperature on Winter Precipitation
over the Coastal Area of the Sea of Japan. SOLA, 15, 107-112,
doi:10.2151/sola.2019-020.

3*

Imada, Y., M. Watanabe, H. Kawase, H. Shiogama, and M. Arai, 2019: The July
2018 High Temperature Event in Japan Could Not Have Happened without
Human-Induced Global Warming. SOLA, 15A, 8-12,
doi:10.2151/sola.15A-002.

4*

Kawase, H., Y. Imada, H. Sasaki, T. Nakaegawa, A. Murata, M. Nosaka, and I.
Takayabu, 2019: Contribution of Historical Global Warming to Local‐Scale
Heavy Precipitation in Western Japan Estimated by Large Ensemble High‐
Resolution Simulations. Journal of Geophysical Research Atmosphere, 124,6093-6103, doi:10.1029/2018JD030155.

5*

Watanabe, S. I., A. Murata, H. Sasaki, H. Kawase, and M. Nosaka, 2019: Future
Projection of Tropical Cyclone Precipitation over Japan with a
High-Resolution Regional Climate Model. Journal of the MeteorologicalSociety of Japan, 97, 805-820.

6

山崎剛, 佐々井崇博, 川瀬宏明, 杉本志織, 大楽浩司, 伊東瑠衣, 佐々木秀孝, 藤田実季子, 2019: 5km 力学的ダウンスケーリングデータセット(SI-CAT DDS5TK)の概要. シミュレーション学会誌, 38, 145-149.

7*

Sasai T., H. Kawase, Y. Kanno, J. Yamaguchi, S. Sugimoto, T. Yamazaki, H. Sasaki,
M. Fujita, and T. Iwasaki, 2019: Future projection of extreme heavy snowfall
events with a 5‐km large ensemble regional climate simulation. Journal ofGeophysical Research Atmosphere, 124, 13975-13990.

－ 208 －

6. 成果発表

6.1. 論文等

8*

Kawase, H., Y. Imada, H. Tsuguti, T. Nakaegawa, N. Seino, A. Murata, and I.
Takayabu, 2020: The Heavy Rain Event of July 2018 in Japan enhanced byhistorical warming. Bulletin of the American Meteorological Society, 101,
S109-S114.

9*

Nakagawa, Y., Y. Onoue, S. Kawahara, F. Araki, K. Koyamada, D. Matsuoka, Y.
Ishikawa, M. Fujita, S. Sugimoto, Y. Okada, S. Kawazoe, Sh. Watanabe, M.
Ishii, R. Mizuta, A. Murata, and Hiroaki Kawase, 2020: Developments of asystem for efficient content-based retrieval to analyze Large volume climate
data.. Progress in Earth and Planetary Science,
doi:10.1186/s40645-019-0315-9.

10* Kawase, H., T. Yamazaki, S. Sugimoto, T. Sasai, R. Ito, T. Hamada, M.
Kuribayashi, M. Fujita, A. Murata, M. Nosaka and H. Sasaki, 2020: Changes
in extremely heavy and light snow-cover winters due to global warming overhigh mountainous areas in central Japan. Progress in Earth and Planetary
Science, 7, doi:10.1186/s40645-020-0322-x.
川畑拓矢

1

瀬古弘, 和田章義, 村田昭彦, 宮川知己, 竹見哲也, 福井真, 川畑拓矢, 北村祐二, 清木達也, 堀田大介, 2019: 第５回非静力学モデルに関する国際ワークショップの報告. 天気, 66, 501-506.

2

T. Fujita, H. Seko, T. Kawabata, D. Hotta, K. Sawada, Y. Ikuta, M. Kunii, T.
Tsukamoto, and G. Akimoto, 2019: Time and Space Observation Error
Correlation of Doppler Radar Radial Winds. extended abstract in the 39th

International Conference on Radar Meteorology, Americal MeteorologicalSociety, 16-20 Sep. 2019, Nara, Japan.
3*

Kawabata, T. and G. Ueno, 2020: Non-Gaussian Probability Densities ofConvection Initiation and Development Investigated Using a Particle Filter
with a Storm-Scale Numerical Weather Prediction Model. Monthly Weather
Review, 148, 3-20, doi:10.1175/MWR-D-18-0367.1.

1*

Kitamura, Y. and S. Nishizawa, 2019: Estimation of energy dissipation caused byodd order difference schemes for an unstable planetary boundary layer.
Atmospheric Science Letters, 20, e905, doi:10.1002/asl.905.

2

川合秀明, 北村祐二, 柴田清孝, 2020: 下位蜃気楼の光路計算 ―マダガスカルで見た蜃気楼―. 天気, 67, 129-137.

1*

H. Y. Inoue, K. Kusunoki, T. Adachi, C. Fujiwara, N. Ishitsu, K. Arai, 2019: Singleand Dual-Doppler Radar Analysis of Misovortices within Snowband in Japan
Sea Coastal Region on 17 January 2017. SOLA, 15, 228-233.

2*

Miglietta, M. M.. K. Arai, K. Kusunoki, H. Inoue, T. Adachi, H. Niino, 2019:
Observational analysis of two waterspouts in northwestern Italy using an
OPERA Doppler radar.. Atmospheric Research, 234.

3*

Kusunoki K., K. Arai, H. Y. Inoue, and C. Fujiwara, 2019: Doppler radarobservations of a wintertime anticyclonic misocyclone associated with surface
wind gust on the coast of the Sea of Japan.. SOLA, 15, 234-237.

工藤 玲

1*

Masuda, R, H. Iwabuchi, K. S. Schmidt, A. Damiani, and R. Kudo, 2019: Retrievalof cloud optical thicness from sky-view camera images using a deep
convolutional neural network based on three-dimensional radiative transfer.
Remote Sensing, 11, doi:10.3390/rs11171962.

高野洋雄

1*

Hirose, N., N. Usui, K. Sakamoto, H. Tsujino, G. Yamanaka, H. Nakano, S.

北村祐二

楠 研一

－ 209 －

6. 成果発表

6.1. 論文等

Urakawa, T. Toyoda, Y. Fujii, and N. Kohno, 2019: Development of a new
operational system for monitoring and forecasting coastal and open oceanstates around Japan. Ocean Dynamics, 69, 1333-1357.

小杉如央

小寺祐貴

小林昭夫

2

広瀬成章, 坂本圭, 碓氷典久, 山中吾郎, 高野洋雄, 2020: 日本沿岸海況監視予測シス
テム 10 年再解析値（JPN Atlas 2020）. 気象研究所技術報告, 83,
doi:10.11483/mritechrepo.83.

1*Ono, H., N. Kosugi, K. Toyama, H. Tsujino, A. Kojima, K. Enyo, Y. Iida, T. Nakano,and M. Ishii, 2019: Acceleration of Ocean Acidification in the Western North
Pacific. Geophysical Research Letters, 46, 13161, doi:10.1029/2019GL085121.

2*

Wada, S., Ishii, M., Kosugi, N., Sasano, D., Matushita, W., Omori, Y. and Hama, T.,
2020: Seasonal dynamics of seawater CO2 system at a coastal site near thesouthern tip of Izu Peninsula. Journal of Oceanography, 76, 227,
doi:10.1007/s10872-020-00541-x.

1*Cochran, E., J. Bunn, S. Minson, A. Baltay, D. Kilb, Y. Kodera, and M. Hoshiba,
2019: Event Detection Performance of the PLUM Earthquake Early Warning
Algorithm in Southern California. Bulletin of the Seismological Society ofAmerica, 109(4), 1524-1541.

2*

Kodera, Y., 2019: An Earthquake Early Warning Method Based on Huygens
Principle: Robust Ground Motion Prediction Using Various LocalizedDistance-Attenuation Models. Journal of Geophysical Research Solid Earth,124, 12981-12996, doi:10.1029/2019JB017862.

3*

Meier, M.-A., Y. Kodera, M. Böse, A. Chung, M. Hoshiba, E. Cochran, S. Minson, E.
Hauksson, and T. Heaton, 2020: How often can Earthquake Early Warning
systems alert sites with high‐intensity ground motion?. Journal ofGeophysical Research Solid Earth, 125, e2019JB017718,
doi:10.1029/2019JB017718.

4*

Kodera, Y., N. Hayashimoto, K. Moriwaki, K. Noguchi, J. Saito, J. Akutagawa, S.
Adachi, M. Morimoto, K. Okamoto, S. Honda, and M. Hoshiba, 2020:
First-Year Performance of a Nationwide Earthquake Early Warning System
Using a Wavefield-Based Ground-Motion Prediction Algorithm in Japan.
Seismological Research Letter, 91(2A), 826-834, doi:10.1785/0220190263.

1*

Kobayashi, A. and T. Tsuyuki, 2019: Long-term slow slip event detected beneaththe Shima Peninsula, central Japan, from GNSS data. Earth, Planets andSpace, 71, 60, doi:10.1186/s40623-019-1037-3.

2

気象研究所, 2019: 全国 GNSS 観測点のプレート沈み込み方向の位置変化. 地震予知連絡会会報, 102, 17-20.

3

気象研究所, 2019: 南海トラフ沿いの長期的スロースリップの客観検知. 地震予知連
絡会会報, 102, 277-279.

4*

Tamaribuchi, K., A. Kobayashi, T. Nishimiya, F. Hirose, and S. Annoura, 2019:
Characteristics of Shallow Low Frequency Earthquake Off the Kii Peninsulain 2004 revealed by Ocean Bottom Seismometer. Geophysical Research
Letters, 46, 13737-13745, doi:10.1029/2019GL085158.

5

気象研究所, 2020: 南海トラフ沿いの長期的スロースリップの客観検知. 地震予知連
絡会会報, 103, 251-252.

6

気象研究所, 2020: 全国 GNSS 観測点のプレート沈み込み方向の位置変化. 地震予知
連絡会会報, 103, 22-25.

－ 210 －

6. 成果発表

6.1. 論文等

1*

Kobayashi, C., and I. Ishikawa, 2019: Prolonged northern-mid-latitude
tropospheric warming in 2018 well predicted by the JMA operational
seasonal prediction system. SOLA, 15A, 31-36, doi:10.2151/sola.15A-006.

2*

Takemura, K., S. Wakamatsu, H. Togawa, A. Shimpo, C. Kobayashi, S. Maeda, and
H. Nakamura, 2019: Extreme moisture flux convergence over western Japan
during the Heavy Rain Event of July 2018. . SOLA, 15A-009,
doi:10.2151/sola.15A-009.

3*

Noguchi, S., Y. Kuroda, H. Mukougawa, R. Mizuta, and C. Kobayashi, 2020:
Impact of satellite observations on forecasting sudden stratosphericwarmings. Geophysical Research Letters, 47, e2019GL086233,
doi:10.1029/2019GL086233.

近藤圭一

1*

Kondo, K., and T. Miyoshi, 2019: Non-Gaussian statistics in global atmospheric
dynamics: a study with a 10240-member ensemble Kalman filter using anintermediate atmospheric general circulation model. Nonlinear Processes inGeophysics, 26, 211-225, doi:10.5194/npg-26-211-2019.

財前祐二

1*

Kajino, M., M. Deushi, T. T. Sekiyama, N. Oshima, K. Yumimoto, T. Y. Tanaka, J.
Ching, A. Hashimoto, T. Yamamoto, M. Ikegami, A. Kamada, M. Miyashita,
Y. Inomata, S. Shima, K. Adachi, Y. Zaizen, Y. Igarashi, H. Ueda, T. Maki, M.
Mikami., 2019: NHM-Chem, the Japan Meteorological Agency’s regional
meteorology – chemistry model: model evaluations toward the consistentpredictions of the chemical, physical, and optical properties of aerosols.
Journal of the Meteorological Society of Japan, 97（2）, 337-374.

2*

Ching, J., K. Adachi, Y. Zaizen, Y. Igarashi, M. Kajino, 2019: Aerosol mixing state
revealed by transmission electron microscopy pertaining to cloud formationand human airway deposition. npj Climate and Atmospheric Science, 2,
doi:10.1038/s41612-019-0081-9.

3

Hashimoto, A. , N. Orikasa, T. Tajiri, Y. Zaizen, and M. Murakami, 2019:
Numerical simulation of shallow cloud formation in the United ArabEmirates. CAS/JSC WGNE Research Activities in Atmospheric and Oceanic
Modelling, 49, 5-09.

1*

泉敏治, 内野修, 酒井哲, 永井智広, 森野勇, 2019: つくばと佐賀に設置したミーライ
ダーデータから算出した混合層高度の日変動・季節変動およびラジオゾンデ・客観解析データとの比較. 天気（論文・短報）, 66, 345-357.

2*

Gerry Bagtasa, Mylene G. Cayetano, Chung-Shin Yuan, Osamu Uchino, Tetsu
Sakai, Toshiharu Izumi, Isamu Morino, Tomohiro Nagai, Ronald C.
Macatangay, Voltaire A. Velazco, 2019: Long-range transport of aerosols from
East and Southeast Asia to northern Philippines and its direct radiative
forcing effect. Atmospheric Environment, 218, 1352-2310,
doi:10.1016/j.atmosenv.2019.117007.

3*

S. Yoshida, S. Yokota, H. Seko, T. Sakai, T. Nagai, 2020: Observation System
Simulation Experiments of Water Vapor Profiles Observed by Raman Lidar
using LETKF System. SOLA, 16, 43-50, doi:10.2151/sola.2020-008.

4*

Yue Huang, Jasper F. Kok, Konrad Kandler, Hannakaisa Lindqvist, Timo
Nousiainen, Tetsu Sakai, Adeyemi Adebiyi, and Olli Jokinen, 2020: Climate
Models and Remote Sensing Retrievals Neglect Substantial Desert Dust
Asphericity. Geophysical Research Letters, 47, e2019GL08659,

小林ちあき

酒井 哲

－ 211 －

6. 成果発表

6.1. 論文等

doi:10.1029/2019GL086592.
坂本 圭

佐々木秀孝

1*

Toyoda, T., N. Hirose, L. S. Urakawa, H. Tsujino, H. Nakano, N. Usui, Y. Fujii, K.
Sakamoto, and G. Yamanaka, 2019: Effects of inclusion of adjoint sea ice
rheology on backward sensitivity evolution examined using an adjoint
ocean–sea ice model. Monthly Weather Review, 147, 2145-2162,
doi:10.1175/MWR-D-18-0198.1.

2*

Sakamoto, K., H. Tsujino, H. Nakano, S. Urakawa, T. Toyoda, N. Hirose, N. Usuiand G. Yamanaka, 2019: Development of a 2km-resolution ocean model
covering the coastal seas around Japan for operational application. Ocean
Dynamics, doi:10.1007/s10236-019-01291-1.

3*

Toyoda, T., K. Iwamoto, L. S. Urakawa, H. Tsujino, H. Nakano, K. Sakamoto, G.
Yamanaka, Y. Komuro, S. Nishino, and J. Ukita, 2019: Incorporation ofsatellite-derived thin-ice data into a global OGCM simulation. Climate
Dynamics, 53, 7113-7130, doi:10.1007/s00382-019-04979-8.

4*

Hirose, N., N. Usui, K. Sakamoto, H. Tsujino, G. Yamanaka, H. Nakano, S.
Urakawa, T. Toyoda, Y. Fujii, and N. Kohno, 2019: Development of a new
operational system for monitoring and forecasting coastal and open oceanstates around Japan. Ocean Dynamics, 69, 1333-1357.

5豊田隆寛, 木村詞明, 浦川昇吾, 辻野博之, 中野英之, 坂本圭, 山中吾郎, 2020: 海洋・海氷シミュレーションにおける海氷速度データの利用. 月刊海洋, 52, 42-47.

6

広瀬成章, 坂本圭, 碓氷典久, 山中吾郎, 高野洋雄, 2020: 日本沿岸海況監視予測シス
テム 10 年再解析値（JPN Atlas 2020）. 気象研究所技術報告, 83,
doi:10.11483/mritechrepo.83.

1*

Murata, A., S. I. Watanabe, H. Sasaki, H. Kawase, and M. Nosaka, 2019: The
development of a resolution-independent tropical cyclone detection scheme
for high-resolution climate model simulations. Journal of the MeteorologicalSociety of Japan, 97, 519-531, doi:10.2151/jmsj.2019-035.

2*

Nosaka, M., H. Kawase, H. Sasaki, and A. Murata, 2019: Influence of the
Temporal Resolution of Sea Surface Temperature on Winter Precipitation
over the Coastal Area of the Sea of Japan. SOLA, 15, 107-112,
doi:10.2151/sola.2019-020.

3*

Kawase, H., Y. Imada, H. Sasaki, T. Nakaegawa, A. Murata, M. Nosaka, and I.
Takayabu, 2019: Contribution of Historical Global Warming to Local‐Scale
Heavy Precipitation in Western Japan Estimated by Large Ensemble High‐
Resolution Simulations. Journal of Geophysical Research Atmosphere, 124,6093-6103, doi:10.1029/2018JD030155.

4*

Watanabe, S. I., A. Murata, H. Sasaki, H. Kawase, and M. Nosaka, 2019: Future
Projection of Tropical Cyclone Precipitation over Japan with a
High-Resolution Regional Climate Model. Journal of the MeteorologicalSociety of Japan, 97, 805-820.

5山崎剛, 佐々井崇博, 川瀬宏明, 杉本志織, 大楽浩司, 伊東瑠衣, 佐々木秀孝, 藤田実季子, 2019: 5km 力学的ダウンスケーリングデータセット(SI-CAT DDS5TK)の概要. シミュレーション学会誌, 38, 145-149.

6

Tinumbang, A.F.A, K. Yorozu, Y. Tachikawa, Y. Ichikawa, H. Sasaki, T.
Nakaegawa, 2019: Analysis of runoff characteristics generated by land
surface models and their impacts on river discharge. Journal of Japan Society－ 212 －

6. 成果発表

6.1. 論文等

of Civil Engineering, Ser. B1 (Hydraulic Engineering), 75, I271-I276.

佐藤英一

澤田 謙

7*

Sasai T., H. Kawase, Y. Kanno, J. Yamaguchi, S. Sugimoto, T. Yamazaki, H. Sasaki,
M. Fujita, and T. Iwasaki, 2019: Future projection of extreme heavy snowfall
events with a 5‐km large ensemble regional climate simulation. Journal ofGeophysical Research Atmosphere, 124, 13975-13990.

8*

Kawase, H., T. Yamazaki, S. Sugimoto, T. Sasai, R. Ito, T. Hamada, M.
Kuribayashi, M. Fujita, A. Murata, M. Nosaka and H. Sasaki, 2020: Changes
in extremely heavy and light snow-cover winters due to global warming overhigh mountainous areas in central Japan. Progress in Earth and Planetary
Science, 7, doi:10.1186/s40645-020-0322-x.

1

日本風工学会風災害研究会, 2019: 風災害研究会 2018 年次報告. 日本風工学会誌,
44-2, 230-234, doi:10.5359/jawe.44.230.

2*

Fujita, E., Y. Iriyama, T. Shimbori, E. Sato, K. Ishii, Y. J. Suzuki, K. Tsunematsu,
and K. Kiyosugi, 2019: Evaluating volcanic hazard risk through numericalsimulations. Journal of Disaster Research, 14, 604-615,
doi:10.20965/jdr.2019.p0604.

3

佐藤英一, 福井敬一, 新堀敏基, 石井憲介, 徳本哲男, 2019: 気象レーダーで観測した2019 年１月 17 日口永良部島噴火 に伴う噴煙・火山灰雲エコーについて. 火山
噴火予知連絡会会報, 132, 420-426.

4

小林 文明, 佐藤 英一, 友清 衣利子, 野田 稔, ガヴァンスキ 江梨, 髙舘 祐貴, 高森
浩治, 木村 吉郎, 中藤 誠二, 森山 英樹, 鈴木 覚, 重永 永年, 服部 力, 松井
正宏, 岩下 久人, 2020: 【速報】台風 1915 号（FAXAI）がもたらした強風災害について. 日本風工学会誌, 45-1, 30-39, doi:10.5359/jawe.45.30.

1

T. Fujita, H. Seko, T. Kawabata, D. Hotta, K. Sawada, Y. Ikuta, M. Kunii, T.
Tsukamoto, and G. Akimoto, 2019: Time and Space Observation Error
Correlation of Doppler Radar Radial Winds. extended abstract in the 39th

International Conference on Radar Meteorology, Americal MeteorologicalSociety, 16-20 Sep. 2019, Nara, Japan.
嶋田宇大

1

Courtney, J. B., S. Langlade, C. R. Sampson, J. A. Knaff, T. Birchard, S. Barlow,
S.D. Kotal, T. Kriat, W. Lee, R. Pasch, and U. Shimada, 2019: Operational
Perspectives on Tropical Cyclone Intensity Change Part 1: recent advances inintensity guidance.. Tropical Cyclone Research and Review, 8, 123-133,
doi:10.6057/2019TCRR03.02.

2

Courtney, J. B., S. Langlade, S. Barlow, T. Birchard, J. A. Knaff, S.D. Kotal, T.
Kriat, W. Lee, R. Pasch, C. R. Sampson, U. Shimada, and A. Singh, 2019:
Operational perspectives on tropical cyclone intensity change Part 2:
Forecasts by operational agencies.. Tropical Cyclone Research and Review, 8,
226-239, doi:10.6057/2019TCRR04.03.

3*

Shimada, U., M. Yamaguchi, and S. Nishimura, 2020: Is the Number of Tropical
Cyclone Rapid Intensification Events in the Western North Pacific
Increasing?. SOLA, 16, 1-5.

4*

Horinouchi, T., U. Shimada, and A. Wada, 2020: Convective Bursts With Gravity
Waves in Tropical Cyclones: Case Study With the Himawari‐8 Satellite and
Idealized Numerical Study. Geophysical Research Letters, 47.

5

黒良峻平, 八谷大岳, 嶋田宇大, 上田修功, 2020: マルチクロスヒンジ損失を用いた不均衡多クラス分類. 信学技報, 79-84.

－ 213 －

6. 成果発表

6.1. 論文等

1*

Misumi, R, Y. Shoji, K. Saito, H. Seko, N. Seino, S. Suzuk, Y. Shusse, K. Hirano, S.
Belair; V. Chandrasekar, D. Lee, A. J. Pereira Filho, T. Nakatan, M. Maki,
2019: Results of the Tokyo Metropolitan Area Convection Study for Extreme
Weather Resilient Cities (TOMACS). Bulletin of the American MeteorologicalSociety, 100, 2027-2041.

2

小司禎教, 2020: 精密衛星測位（GNSS）を用いた水蒸気観測と気象への利用. 第 18
回英弘シンポジウム”異常気象と局地現象”, 18, 53-60.

新藤永樹

1*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,
R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.

新堀敏基

1*

Fujita, E., Y. Iriyama, T. Shimbori, E. Sato, K. Ishii, Y. J. Suzuki, K. Tsunematsu,
and K. Kiyosugi, 2019: Evaluating volcanic hazard risk through numericalsimulations. Journal of Disaster Research, 14, 604-615,
doi:10.20965/jdr.2019.p0604.

2

佐藤英一, 福井敬一, 新堀敏基, 石井憲介, 徳本哲男, 2019: 気象レーダーで観測した2019 年１月 17 日口永良部島噴火 に伴う噴煙・火山灰雲エコーについて. 火山
噴火予知連絡会会報, 132, 420-426.

3

Hashimoto, A., T. Mori, T. Shimbori and A. Takagi, 2019: An experiment innumerical prediction of volcanic gas transportation. CAS/JSC WGNE
Research Activities in Atmospheric and Oceanic Modelling, 49, 5-07.

1

津口裕茂, 清野直子, 2019: 線状降水帯の“形成(発生)メカニズム”について. 平成 29 年

小司禎教

清野直子

度科学研究費補助金（特別研究促進費）「平成 29 年九州北部豪雨災害に関する総合的研究」報告書, 19-26.

関山 剛

2*

Wada, A., H. Tsuguti, K. Okamoto, and N. Seino, 2019: Air-Sea Coupled Data
Assimilation Experiment for Typhoons Kilo, Etau and the September 2015
Kanto-Tohoku Heavy Rainfall with the Advanced Microwave ScanningRadiometer 2 Sea Surface Temperature. Journal of the MeteorologicalSociety of Japan, 97, 553-575, doi:10.2151/jmsj.2019-029.

3*

Misumi, R, Y. Shoji, K. Saito, H. Seko, N. Seino, S. Suzuk, Y. Shusse, K. Hirano, S.
Belair; V. Chandrasekar, D. Lee, A. J. Pereira Filho, T. Nakatan, M. Maki,
2019: Results of the Tokyo Metropolitan Area Convection Study for Extreme
Weather Resilient Cities (TOMACS). Bulletin of the American MeteorologicalSociety, 100, 2027-2041.

4*

Kawase, H., Y. Imada, H. Tsuguti, T. Nakaegawa, N. Seino, A. Murata, and I.
Takayabu, 2020: The Heavy Rain Event of July 2018 in Japan enhanced byhistorical warming. Bulletin of the American Meteorological Society, 101,
S109-S114.

1*

Kajino, M., M. Deushi, T. T. Sekiyama, N. Oshima, K. Yumimoto, T. Y. Tanaka, J.
Ching, A. Hashimoto, T. Yamamoto, M. Ikegami, A. Kamada, M. Miyashita,
Y. Inomata, S. Shima, K. Adachi, Y. Zaizen, Y. Igarashi, H. Ueda, T. Maki, M.
Mikami., 2019: NHM-Chem, the Japan Meteorological Agency’s regional
meteorology – chemistry model: model evaluations toward the consistentpredictions of the chemical, physical, and optical properties of aerosols.

－ 214 －

6. 成果発表

6.1. 論文等

Journal of the Meteorological Society of Japan, 97（2）, 337-374.

瀬古 弘

2*

Kajino, M., S. Hayashida, T. T. Sekiyama, M. Deushi, K. Ito, and X. Liu., 2019:
Detectability assessment of a satellite sensor for lower tropospheric ozone
responses to its precursors emission changes in East Asian summer.
Scientific Reports, 9, 19629, doi:10.1038/s41598-019-55759-7.

1

瀬古弘, 津田敏隆, 2019: メソスケール LETKF システムを用いた GNSS 掩蔽観測の屈折率データの同化実験. 月刊海洋号外「新野宏教授退職記念号」, 62, 111-114.

2

瀬古弘, 和田章義, 村田昭彦, 宮川知己, 竹見哲也, 福井真, 川畑拓矢, 北村祐二, 清木達也, 堀田大介, 2019: 第５回非静力学モデルに関する国際ワークショップの報告. 天気, 66, 501-506.

3

T. Fujita, H. Seko, T. Kawabata, D. Hotta, K. Sawada, Y. Ikuta, M. Kunii, T.
Tsukamoto, and G. Akimoto, 2019: Time and Space Observation Error
Correlation of Doppler Radar Radial Winds. extended abstract in the 39th

International Conference on Radar Meteorology, Americal MeteorologicalSociety, 16-20 Sep. 2019, Nara, Japan.

高谷祐平

高薮 出

4*

Misumi, R, Y. Shoji, K. Saito, H. Seko, N. Seino, S. Suzuk, Y. Shusse, K. Hirano, S.
Belair; V. Chandrasekar, D. Lee, A. J. Pereira Filho, T. Nakatan, M. Maki,
2019: Results of the Tokyo Metropolitan Area Convection Study for Extreme
Weather Resilient Cities (TOMACS). Bulletin of the American MeteorologicalSociety, 100, 2027-2041.

5*

S. Yoshida, S. Yokota, H. Seko, T. Sakai, T. Nagai, 2020: Observation System
Simulation Experiments of Water Vapor Profiles Observed by Raman Lidar
using LETKF System. SOLA, 16, 43-50, doi:10.2151/sola.2020-008.

6

瀬古弘、小泉耕、瀬之口敦, 2020: SSR モード S データの同化実験. 数値予報課報
告・別冊第 66 号, 142-144.

1

Kessler, W.S., S. E. Wijffels, S. Cravatte, N. Smith, Y. Fujii, Y. Takaya, et al., 2019:
Second Report of TPOS 2020. Second Report of TPOS 2020, GOOS-234, 265.

2

Subramanian, A. et al. , 2019: Ocean observations to improve our understanding,modeling, and forecasting of subseasonal-to-seasonal variability. Frontier inMarine Science, 6:427, doi:10.3389/fmars.2019.00427.

3*

Takaya, Y., 2019: Positive Phase of Pacific Meridional Mode Enhanced Western
North Pacific Tropical Cyclone Activity in Summer 2018. SOLA, 15A, 55-59,
doi:10.2151/sola.15A-010.

4*

Klotzbach, P. J., E. Blake, J. Camp, L.-P. Caron, J. Chan, N. Kang, Y. Kuleshov,S.-M. Lee, H. Murakami, M. Saunders, Y. Takaya, F. Vitart, R. Zhan, 2019:
Seasonal Tropical Cyclone Forecasting. Tropical Cyclone Research andReview, 8(3), 134-149, doi:10.6057/2019TCRR03.03.

5*

Merryfield, W. et al., 2020: Current and emerging developments in subseasonal todecadal prediction. Bulletin of the American Meteorological Society,doi:10.1175/BAMS-D-19-0037.1.

1*

Shimpo A., and co-authors, 2019: Primary Factors behind the Heavy Rain Event ofJuly 2018 and the Subsequent Heat Wave in Japan. SOLA, 15A-003.

2*

Kawase, H., Y. Imada, H. Sasaki, T. Nakaegawa, A. Murata, M. Nosaka, and I.
Takayabu, 2019: Contribution of Historical Global Warming to Local‐Scale
Heavy Precipitation in Western Japan Estimated by Large Ensemble High‐
Resolution Simulations. Journal of Geophysical Research Atmosphere, 124,
－ 215 －

6. 成果発表

6.1. 論文等

6093-6103, doi:10.1029/2018JD030155.

田尻拓也

田中泰宙

3

仲江川敏之, 日比野研志, 高薮 出, 2019: 気候アナログで実感する今世紀末の温暖化
状況下におけるロシア主要 7 都市の気候. 土木学会論文集(水工学), 75,
I1045-I1050.

4*

Kawase, H., Y. Imada, H. Tsuguti, T. Nakaegawa, N. Seino, A. Murata, and I.
Takayabu, 2020: The Heavy Rain Event of July 2018 in Japan enhanced byhistorical warming. Bulletin of the American Meteorological Society, 101,
S109-S114.

5*

Ito, R., H. Shiogama, T. Nakaegawa, and I. Takayabu, 2020: Uncertainties inclimate change projections covered by the ISIMIP and CORDEX model
subsets from CMIP5. Geoscientific Model Development, 13, 859 ｰ 872,
doi:10.5194/gmd-13-859-2020.

1*

N. Hiranuma, K. Adachi, D. M. Bell, F. Belosi, H. Beydoun, B. Bhaduri, H.
Bingemer, C. Budke, H. -C. Clemen, F. Conen, K. M. Cory, J. Curtius, P. J.
DeMott, O. Eppers, S. Grawe, S. Hartmann, N. Hoffmann, K. Höhler, E.
Jantsch, A. Kiselev, T. Koop, G. Kul, 2019: A comprehensive characterizationof ice nucleation by three different types of cellulose particles immersed inwater . Atmospheric Chemistry and Physics, 19, 4823-4846,
doi:10.5194/acp-19-4823-2019.

2*

Kuo, T.-H., M. Murakami, T. Tajiri, and N. Orikasa, 2019: Cloud Condensation
Nuclei and Immersion Freezing Abilities of Al2O3 and Fe2O3 Particles
Measured with the Meteorological Research Institute’s Cloud Simulation
Chamber. Journal of the Meteorological Society of Japan, 97, 597-614,
doi:10.2151/jmsj.2019-032.

3

Hashimoto, A. , N. Orikasa, T. Tajiri, Y. Zaizen, and M. Murakami, 2019:
Numerical simulation of shallow cloud formation in the United ArabEmirates. CAS/JSC WGNE Research Activities in Atmospheric and Oceanic
Modelling, 49, 5-09.

4佐藤陽祐, 當房豊, 山下克也, 荒木健太郎, 橋本明弘, 梶野瑞王, 中島孝, 三隅良平,
小池真, 岩崎杉紀, 川合秀明, 飯塚芳徳, 高橋麗, 山内晃, 折笠成宏, 齋藤泉, 藤田啓恵, 酒井健人, 郭威鎮, 田尻拓也, 島伸一郎, 岩本洋子, 2019: 「2018 年度エ
アロゾル・雲・降水の相互作用に関する研究集会」報告. 天気, 66, 479-484.

5

山下克也, 中井専人, 石坂雅昭, 本吉弘岐, 荒木健太郎, 村上正隆, 斎藤篤思, 田尻拓也, 2019: 2014 年 2 月大雪時の東京西部と山梨東部の降雪粒子種の特徴. 気象研
究ノート, 240, 日本気象学会, 365-382pp, ISBN: 987-4904129234.

1*

Kajino, M., M. Deushi, T. T. Sekiyama, N. Oshima, K. Yumimoto, T. Y. Tanaka, J.
Ching, A. Hashimoto, T. Yamamoto, M. Ikegami, A. Kamada, M. Miyashita,
Y. Inomata, S. Shima, K. Adachi, Y. Zaizen, Y. Igarashi, H. Ueda, T. Maki, M.
Mikami., 2019: NHM-Chem, the Japan Meteorological Agency’s regional
meteorology – chemistry model: model evaluations toward the consistentpredictions of the chemical, physical, and optical properties of aerosols.
Journal of the Meteorological Society of Japan, 97（2）, 337-374.

2*

Kawai, H., S. Yukimoto, T. Koshiro, N. Oshima, T. Tanaka, H. Yoshimura, and R.
Nagasawa, 2019: Significant Improvement of Cloud Representation in Global
Climate Model MRI-ESM2. Geoscientific Model Development, 12, 2875-2897,
doi:10.5194/gmd-12-2875-2019.

－ 216 －

6. 成果発表

6.1. 論文等

3*

Lamy, K., Deushi, M., Tanaka, T. Y., Yoshida, K., et al., 2019: Clear-sky ultraviolet
radiation modelling using output from the Chemistry Climate Model
Initiative. Atmospheric Chemistry and Physics, 19, 10087-10110,
doi:10.5194/acp-19-10087-2019.

4*

A. Chrysanthou, A. C. Maycock, M. P. Chipperfield, S. Dhomse, H. Garny, D.
Kinnison, H. Akiyoshi, M. Deushi, R. R. Garcia, P. Jöckel, O. Kirner, G. Pitari,
D. A. Plummer, L. Revell, E. Rozanov, A. Stenke, T. Y. Tanaka, D. Visioni, andY. Yamashita, 2019: The effect of atmospheric nudging on the stratosphericresidual circulation in chemistry-climate models. Atmospheric Chemistry
and Physics, 19, 11559-11586, doi:10.5194/acp-19-11559-2019.

5*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,
R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.

6*

Xian, P., Reid, J.S., Hyer, E.J., Sampson, C.R., Rubin, J.I., Ades, M., Asencio, N.,
Basart, S., Benedetti, A., Bhattacharjee, P., Brooks, M.E., Colarco, P.R., Da
Silva, A., Eck, T.F., Guth, J., Jorba, O., Kouznetsov, R., Kipling, Z., Sofiev, M.,
Carcia-P, 2020: Current State of the global operational aerosol multi-model
ensemble: an update from the International Cooperative for Aerosol
Prediction (ICAP). Quarterly Journal of the Royal Meteorological Society, 145(S1), 176-209, doi:10.1002/qj.3497.

田中昌之

1

田中昌之, 2019: 中規模繰り返し相似地震の発生状況と発生確率（2019）. 地震予知連
絡会会報, 102, 380-384.

谷川朋範

1

Yogo, Y., Y. Ioka, T. Tanikawa, M. Hosaka, H. Ishida, and T. Aoki, 2019: Algorithm
Theoretical Basis for the Himawari-8, -9/AHI Cryosphere Product Part 1:
Snow Cover. Meteorological Satellite Center Technical Note, 64, 1-12.

2Ioka, Y., Y. Yogo, T. Tanikawa, M. Hosaka, H. Ishida, and T. Aoki, 2019: Algorithm
Theoretical Basis for the Himawari-8, -9/AHI Cryosphere Product Part 2: Sea
Ice Distribution. Meteorological Satellite Center Technical Note, 64, 13-21.

3*

Nomura, D., P. Wongpan, T. Toyota, T. Tanikawa, Y. Kawaguchi, T. Ono, T. Ishino,
M. Tozawa, T. Tamura, I. Yabe, E. Y. Son, F. Vivier, A. Lourenco, M. Lebrun, Y.
Nosaka, T. Hirawake, A. Ooki, S. Aoki, B. Else, F. Fripiat, J. Inoue, and M.
Vancoppenolle, 2020: Saroma-ko Lagoon Observations for sea ice
Physico-chemistry and Ecosystems 2019 (SLOPE2019). Bulletin of
Glaciological Research, 38, 1-12, doi:10.5331/bgr.19R02.

1*

Yamada, M., T. Kandel, K. Tamaribuchi, and A. Ghosh, 2019: 3D Fault Structure
Inferred from a Refined Aftershock Catalog for the 2015 Gorkha Earthquake
in Nepal. Bulletin of the Seismological Society of America, 110, 26-37,
doi:10.1785/0120190075.

2*

Tamaribuchi, K., A. Kobayashi, T. Nishimiya, F. Hirose, and S. Annoura, 2019:
Characteristics of Shallow Low Frequency Earthquake Off the Kii Peninsulain 2004 revealed by Ocean Bottom Seismometer. Geophysical Research
Letters, 46, 13737-13745, doi:10.1029/2019GL085158.

3

前田憲二, 弘瀬冬樹, 溜渕功史, 2020: 群発的地震活動を前震活動と仮定して行う本震溜渕功史－ 217 －

6. 成果発表

6.1. 論文等の発生予測手法（5）： 最近の活動事例による検証と ETAS モデルとの比較. 予知連会報, 103, 356-360.
辻野博之

1*

Toyoda, T., N. Hirose, L. S. Urakawa, H. Tsujino, H. Nakano, N. Usui, Y. Fujii, K.
Sakamoto, and G. Yamanaka, 2019: Effects of inclusion of adjoint sea ice
rheology on backward sensitivity evolution examined using an adjoint
ocean–sea ice model. Monthly Weather Review, 147, 2145-2162,
doi:10.1175/MWR-D-18-0198.1.

2*

Bonino, G., S. Masina, D. Iovino, A. Storto, H. Tsujino, 2019: Eastern Boundary
Upwelling Systems response to different atmospheric forcing in a global
eddy-permitting ocean model. Journal of Marine Systems, 197, 103178,
doi:10.1016/j.jmarsys.2019.05.004.

3*

Sakamoto, K., H. Tsujino, H. Nakano, S. Urakawa, T. Toyoda, N. Hirose, N. Usuiand G. Yamanaka, 2019: Development of a 2km-resolution ocean model
covering the coastal seas around Japan for operational application. Ocean
Dynamics, doi:10.1007/s10236-019-01291-1.

4*

Toyoda, T., K. Iwamoto, L. S. Urakawa, H. Tsujino, H. Nakano, K. Sakamoto, G.
Yamanaka, Y. Komuro, S. Nishino, and J. Ukita, 2019: Incorporation ofsatellite-derived thin-ice data into a global OGCM simulation. Climate
Dynamics, 53, 7113-7130, doi:10.1007/s00382-019-04979-8.

5*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,
R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.

6*

Hirose, N., N. Usui, K. Sakamoto, H. Tsujino, G. Yamanaka, H. Nakano, S.
Urakawa, T. Toyoda, Y. Fujii, and N. Kohno, 2019: Development of a new
operational system for monitoring and forecasting coastal and open oceanstates around Japan. Ocean Dynamics, 69, 1333-1357.

7*

Ono, H., N. Kosugi, K. Toyama, H. Tsujino, A. Kojima, K. Enyo, Y. Iida, T. Nakano,and M. Ishii, 2019: Acceleration of Ocean Acidification in the Western North
Pacific. Geophysical Research Letters, 46, 13161, doi:10.1029/2019GL085121.

8

豊田隆寛, 木村詞明, 浦川昇吾, 辻野博之, 中野英之, 坂本圭, 山中吾郎, 2020: 海洋・海氷シミュレーションにおける海氷速度データの利用. 月刊海洋, 52, 42-47.

9*

Rahaman, H., U. Srinivasu, P. Swapana, J. V. Durgadoo, S. M. Griffies, M.
Ravichandran, H. Tsujino, et al., 2020: An assessment of the Indian Ocean
mean state and seasonal cycle in a suite of interannual CORE-II simulation.
Ocean Modelling, 145, 101503, doi:10.1016/j.ocemod.2019.101503.

10* Stewart, K. D., W. M. Kim, S. Urakawa, A. McC. Hogg, S. Yeager, H. Tsujino, H.
Nakano, A. E. Kiss, and G. Danabasoglu, 2020: JRA55-do-based repeat year
forcing datasets for driving ocean-sea-ice models. Ocean Modelling, 147,
101557, doi:10.1016/j.ocemod.2019.101557.
坪井一寛

1*

Inai, Y., R. Fujita, T. Machida, H. Matsueda, Y. Sawa, K. Tsuboi, K. Katsumata, S.
Morimoto, S. Aoki, and T. Nakazawa, 2019: Seasonal characteristics of trace
gas transports into the extratropical upper troposphere and lower
stratosphere. Atmospheric Chemistry and Physics, 19, 7073-7103,－ 218 －

6. 成果発表

6.1. 論文等

doi:10.5194/acp-19-7073-2019.

露木貴裕

出牛 真

2

町田敏暢, 坪井一寛, 丹羽洋介, 梅澤拓, 石島健太郎, 松枝秀和, 2020: 民間旅客機が切り拓く大気中二酸化炭素の新たな観測ネットワーク. ＪＥＴＩ, 68, 83-86.

1*

Kobayashi, A. and T. Tsuyuki, 2019: Long-term slow slip event detected beneaththe Shima Peninsula, central Japan, from GNSS data. Earth, Planets andSpace, 71, 60, doi:10.1186/s40623-019-1037-3.

2気象庁気象研究所, 2019: 内陸部の地震空白域における地殻変動連続観測. 地震予知
連絡会会報, 102, 280-283.

3気象庁気象研究所, 2020: 内陸部の地震空白域における地殻変動連続観測. 地震予知
連絡会会報, 103, 253-256.

1*

Kajino, M., M. Deushi, T. T. Sekiyama, N. Oshima, K. Yumimoto, T. Y. Tanaka, J.
Ching, A. Hashimoto, T. Yamamoto, M. Ikegami, A. Kamada, M. Miyashita,
Y. Inomata, S. Shima, K. Adachi, Y. Zaizen, Y. Igarashi, H. Ueda, T. Maki, M.
Mikami., 2019: NHM-Chem, the Japan Meteorological Agency’s regional
meteorology – chemistry model: model evaluations toward the consistentpredictions of the chemical, physical, and optical properties of aerosols.
Journal of the Meteorological Society of Japan, 97（2）, 337-374.

2*

Z. E. Gillett, J. M. Arblaster, A. J. Dittus, M. Deushi, P. Jöckel, D. E. Kinnison, O.
Morgenstern, D. A. Plummer, L. E. Revell, E. Rozanov, R. Schofield, A.
Stenke, K. A. Stone, and S. Tilmes, 2019: Evaluating the relationshipbetween interannual variations in the Antarctic Ozone Hole and Southern
Hemisphere surface climate in chemistry-climate models. Journal of Climate,32, 3131-3151, doi:10.1175/JCLI-D-18-0273.1.

3*

L.M. Polvani, L. Wang, M. Abalos, N. Butchart, M.P. Chipperfield, M. Dameris, M.
Deushi, S.S. Dohmse, P. Jockel, D. Kinnison, M. Michou, O. Morgenstern,
L.D. Oman, D.A. Plummer, K.A. Stone, G. Zeng, 2019: Large impacts, pastand future, of ozone-depleting substances on Brewer-Dobson circulation
trends:A multi-model assessment. Journal of Geophysical Research
Atmosphere, 124, 6669-6680, doi:10.1029/2018JD029516.

4*

Harari, O., Garfinkel, C. I., Ziskin Ziv, S., Morgenstern, O., Zeng, G., Tilmes, S.,
Kinnison, D., Deushi, M., Jöckel, P., Pozzer, A., O'Connor, F. M., and Davis, S.,
2019: Influence of Arctic stratospheric ozone on surface climate in CCMI
models. Atmospheric Chemistry and Physics, 19, 9253-9268,
doi:10.5194/acp-19-9253-2019.

5*

Lamy, K., Deushi, M., Tanaka, T. Y., Yoshida, K., et al., 2019: Clear-sky ultraviolet
radiation modelling using output from the Chemistry Climate Model
Initiative. Atmospheric Chemistry and Physics, 19, 10087-10110,
doi:10.5194/acp-19-10087-2019.

6*

A. Chrysanthou, A. C. Maycock, M. P. Chipperfield, S. Dhomse, H. Garny, D.
Kinnison, H. Akiyoshi, M. Deushi, R. R. Garcia, P. Jöckel, O. Kirner, G. Pitari,
D. A. Plummer, L. Revell, E. Rozanov, A. Stenke, T. Y. Tanaka, D. Visioni, andY. Yamashita, 2019: The effect of atmospheric nudging on the stratosphericresidual circulation in chemistry-climate models. Atmospheric Chemistry
and Physics, 19, 11559-11586, doi:10.5194/acp-19-11559-2019.

7*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,－ 219 －

6. 成果発表

6.1. 論文等

R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.
8*

Y. Zhao et al., 2019: Inter-model comparison of global hydroxyl radical (OH)
distributions and their impact on atmospheric methane over the 2000–2016
period. Atmospheric Chemistry and Physics, 19, 13701-13723,
doi:10.5194/acp-19-13701-2019.

9*Kajino, M., S. Hayashida, T. T. Sekiyama, M. Deushi, K. Ito, and X. Liu., 2019:
Detectability assessment of a satellite sensor for lower tropospheric ozone
responses to its precursors emission changes in East Asian summer.
Scientific Reports, 9, 19629, doi:10.1038/s41598-019-55759-7.

10* Kuai, L., Bowman, K. W., Miyazaki, K., Deushi, M., Revell, L., Rozanov, E., Paulot,
F., Strode, S., Conley, A., Lamarque, J.-F., Jöckel, P., Plummer, D. A., Oman,
L. D., Worden, H., Kulawik, S., Paynter, D., Stenke, A., and Kunze, M., 2020:
Attribution of Chemistry-Climate Model Initiative (CCMI) ozone radiativeflux bias from satellites. Atmospheric Chemistry and Physics, 20, 1341-1361,
doi:10.5194/acp-20-281-2020.
11* Nicely, J. M., Duncan, B. N., Hanisco, T. F., Wolfe, G. M., Salawitch, R. J., Deushi,
M., Haslerud, A. S., Jöckel, P., Josse, B., Kinnison, D. E., Klekociuk, A.,
Manyin, M. E., Marécal, V., Morgenstern, O., Murray, L. T., Myhre, G.,
Oman, L. D., Pitari, G, 2020: A machine learning examination of hydroxyl
radical differences among model simulations for CCMI-1. Atmospheric
Chemistry and Physics, 20, 1341-1361, doi:10.5194/acp-20-1341-2020.
12* Orbe, C., Plummer, D. A., Waugh, D. W., Yang, H., Jöckel, P., Kinnison, D. E.,
Josse, B., Marecal, V., Deushi, M., Abraham, N. L., Archibald, A. T.,
Chipperfield, M. P., Dhomse, S., Feng, W., and Bekki, S., 2020: Description
and Evaluation of the specified-dynamics experiment in theChemistry-Climate Model Initiative. Atmospheric Chemistry and Physics,
20, 3809-3840, doi:10.5194/acp-20-3809-2020.
遠山勝也

1*

Ono, H., N. Kosugi, K. Toyama, H. Tsujino, A. Kojima, K. Enyo, Y. Iida, T. Nakano,and M. Ishii, 2019: Acceleration of Ocean Acidification in the Western North
Pacific. Geophysical Research Letters, 46, 13161, doi:10.1029/2019GL085121.

豊田隆寛

1

藤井, 陽介, 石川, 一郎, 豊田, 隆寛, 浦川, 昇吾, 杉本, 裕之, 2019: 全球結合予測のための海洋データ同化システムの開発. 平成 30 年度「異常気象と長期変動」研
究集会報告, 67-70.

2*

Toyoda, T., N. Hirose, L. S. Urakawa, H. Tsujino, H. Nakano, N. Usui, Y. Fujii, K.
Sakamoto, and G. Yamanaka, 2019: Effects of inclusion of adjoint sea ice
rheology on backward sensitivity evolution examined using an adjoint
ocean–sea ice model. Monthly Weather Review, 147, 2145-2162,
doi:10.1175/MWR-D-18-0198.1.

3*

Sakamoto, K., H. Tsujino, H. Nakano, S. Urakawa, T. Toyoda, N. Hirose, N. Usuiand G. Yamanaka, 2019: Development of a 2km-resolution ocean model
covering the coastal seas around Japan for operational application. Ocean
Dynamics, doi:10.1007/s10236-019-01291-1.

4*

Toyoda, T., K. Iwamoto, L. S. Urakawa, H. Tsujino, H. Nakano, K. Sakamoto, G.

－ 220 －

6. 成果発表

6.1. 論文等

Yamanaka, Y. Komuro, S. Nishino, and J. Ukita, 2019: Incorporation ofsatellite-derived thin-ice data into a global OGCM simulation. Climate
Dynamics, 53, 7113-7130, doi:10.1007/s00382-019-04979-8.

直江寛明

永井智広

5*

Hirose, N., N. Usui, K. Sakamoto, H. Tsujino, G. Yamanaka, H. Nakano, S.
Urakawa, T. Toyoda, Y. Fujii, and N. Kohno, 2019: Development of a new
operational system for monitoring and forecasting coastal and open oceanstates around Japan. Ocean Dynamics, 69, 1333-1357.

6*

Jackson, L. C., C. Dubois, G. Forget, K. Haines, M. Harrison, D. Iovino, A. Kohl, D.
Mignac, S. Masina, K. A. Peterson, C. G. Piecuch, C. Roberts, J. Robson, A.
Storto, T. Toyoda, M. Valdivieso, C. Wilson, Y. Wang, and H. Zuo, 2019: Themean state and variability of the North Atlantic circulation: a perspectivefrom ocean reanalyses. Journal of Geophysical Research Oceans, 124,
9141-9170, doi:10.1029/2019JC015210.

7

豊田隆寛, 木村詞明, 浦川昇吾, 辻野博之, 中野英之, 坂本圭, 山中吾郎, 2020: 海洋・海氷シミュレーションにおける海氷速度データの利用. 月刊海洋, 52, 42-47.

1*Naoe, H. and K. Yoshida, 2019: Influence of quasi-biennial oscillation on the boreal
winter extratropical stratosphere in QBOi experiments. Quarterly Journal of
the Royal Meteorological Society, 145, 2755-2771, doi:10.1002/qj.3591.

2*

Harada, Y., K. Sato, T. Kinoshita, R. Yasui, T. Hirooka, and H. Naoe, 2019:
Diagnostics of a WN2‐Type Major Sudden Stratospheric Warming Event in
February 2018 Using a New Three‐Dimensional Wave Activity Flux.
Journal of Geophysical Research Atmosphere, 124, 7018-7033,
doi:10.1029/2019JD030648.

3*

Smith, A. K., H. Naoe, K. Yoshida, et al., 2020: The equatorial stratosphericsemiannual oscillation and time‐mean winds in QBOi models. Quarterly
Journal of the Royal Meteorological Society, 1-17, doi:10.1002/qj.3690.

4*

Richter, J.H., H. Naoe, K. Yoshida, S. Yukimoto, et al., 2020: Response of the Quasi‐Biennial Oscillation to a warming climate in global climate models.
Quarterly Journal of the Royal Meteorological Society, 1-29,
doi:10.1002/qj.3749.

5*Bushell, A.C., H. Naoe, K. Yoshida, S. Yukimoto, et al., 2020: Evaluation of the
Quasi‐Biennial Oscillation in global climate models for the SPARC QBO‐
initiative. Quarterly Journal of the Royal Meteorological Society, 1-31,
doi:10.1002/qj.3765.

1*

泉敏治, 内野修, 酒井哲, 永井智広, 森野勇, 2019: つくばと佐賀に設置したミーライ
ダーデータから算出した混合層高度の日変動・季節変動およびラジオゾンデ・客観解析データとの比較. 天気（論文・短報）, 66, 345-357.

2*

Gerry Bagtasa, Mylene G. Cayetano, Chung-Shin Yuan, Osamu Uchino, Tetsu
Sakai, Toshiharu Izumi, Isamu Morino, Tomohiro Nagai, Ronald C.
Macatangay, Voltaire A. Velazco, 2019: Long-range transport of aerosols from
East and Southeast Asia to northern Philippines and its direct radiative
forcing effect. Atmospheric Environment, 218, 1352-2310,
doi:10.1016/j.atmosenv.2019.117007.

3*

S. Yoshida, S. Yokota, H. Seko, T. Sakai, T. Nagai, 2020: Observation System
Simulation Experiments of Water Vapor Profiles Observed by Raman Lidar
using LETKF System. SOLA, 16, 43-50, doi:10.2151/sola.2020-008.

－ 221 －

6. 成果発表

6.1. 論文等

1*

Kawase, H., Y. Imada, H. Sasaki, T. Nakaegawa, A. Murata, M. Nosaka, and I.
Takayabu, 2019: Contribution of Historical Global Warming to Local‐Scale
Heavy Precipitation in Western Japan Estimated by Large Ensemble High‐
Resolution Simulations. Journal of Geophysical Research Atmosphere, 124,6093-6103, doi:10.1029/2018JD030155.

2*

Kusunoki, S., T. Nakaegawa, R. Pinzón, J. Sanchez Galan and J. R. Fábrega, 2019:
Future precipitation changes over Panama projected with the atmosphericglobal model MRI-AGCM3.2. Climate Dynamics,
doi:10.1007/s00382-019-04842-w.

3

Tinumbang, A.F.A, K. Yorozu, Y. Tachikawa, Y. Ichikawa, H. Sasaki, T.
Nakaegawa, 2019: Analysis of runoff characteristics generated by land
surface models and their impacts on river discharge. Journal of Japan Societyof Civil Engineering, Ser. B1 (Hydraulic Engineering), 75, I271-I276.

4

仲江川敏之, 日比野研志, 高薮 出, 2019: 気候アナログで実感する今世紀末の温暖化
状況下におけるロシア主要 7 都市の気候. 土木学会論文集(水工学), 75,
I1045-I1050.

5

Nakaegawa, T.,R. Pinzon, J. Fabrega,J. A. Cuevas, H. A. De Lima, E. Cordoba,K.
Nakayama, J.I. Batista Lao, A. Lau Melo,D. A. Gonzalez, S. Kusunoki, 2019:
Seasonal changes of the diurnal variation of precipitation in the upper Río
Chagres basin, Panamá. PLOS ONE, 14, e0224662,
doi:10.1371/journal.pone.0224662.

6*

Kawase, H., Y. Imada, H. Tsuguti, T. Nakaegawa, N. Seino, A. Murata, and I.
Takayabu, 2020: The Heavy Rain Event of July 2018 in Japan enhanced byhistorical warming. Bulletin of the American Meteorological Society, 101,
S109-S114.

7*

Lee, T. C., T. R. Knutson, T. Nakaegawa, M. Ying, and E. J. Cha, 2020: Third
assessment on impacts of climate change on tropical cyclones in the Typhoon
Committee Region – Part I: Observed changes, detection and attribution.
Tropical Cyclone Research and Review, 9, 1-22,
doi:10.1016/j.tcrr.2020.03.001.

8*Ito, R., H. Shiogama, T. Nakaegawa, and I. Takayabu, 2020: Uncertainties inclimate change projections covered by the ISIMIP and CORDEX model
subsets from CMIP5. Geoscientific Model Development, 13, 859 ｰ 872,
doi:10.5194/gmd-13-859-2020.

中川雅之

1

Wada, A., H. Yoshimura, M. Nakagawa, 2019: Preliminary numerical experimentson the prediction of Typhoon Lionrock (2016) using the global
atmosphere-ocean coupled model. Research Activities in Atmospheric andOceanic Modelling , 49, 9-05.

長澤亮二

1*

Kawai, H., S. Yukimoto, T. Koshiro, N. Oshima, T. Tanaka, H. Yoshimura, and R.
Nagasawa, 2019: Significant Improvement of Cloud Representation in Global
Climate Model MRI-ESM2. Geoscientific Model Development, 12, 2875-2897,
doi:10.5194/gmd-12-2875-2019.

中野英之

1*

Toyoda, T., N. Hirose, L. S. Urakawa, H. Tsujino, H. Nakano, N. Usui, Y. Fujii, K.
Sakamoto, and G. Yamanaka, 2019: Effects of inclusion of adjoint sea ice
rheology on backward sensitivity evolution examined using an adjoint
ocean–sea ice model. Monthly Weather Review, 147, 2145-2162,

仲江川敏之－ 222 －

6. 成果発表

6.1. 論文等

doi:10.1175/MWR-D-18-0198.1.
2*

Sakamoto, K., H. Tsujino, H. Nakano, S. Urakawa, T. Toyoda, N. Hirose, N. Usuiand G. Yamanaka, 2019: Development of a 2km-resolution ocean model
covering the coastal seas around Japan for operational application. Ocean
Dynamics, doi:10.1007/s10236-019-01291-1.

3*

Toyoda, T., K. Iwamoto, L. S. Urakawa, H. Tsujino, H. Nakano, K. Sakamoto, G.
Yamanaka, Y. Komuro, S. Nishino, and J. Ukita, 2019: Incorporation ofsatellite-derived thin-ice data into a global OGCM simulation. Climate
Dynamics, 53, 7113-7130, doi:10.1007/s00382-019-04979-8.

4*

Hirose, N., N. Usui, K. Sakamoto, H. Tsujino, G. Yamanaka, H. Nakano, S.
Urakawa, T. Toyoda, Y. Fujii, and N. Kohno, 2019: Development of a new
operational system for monitoring and forecasting coastal and open oceanstates around Japan. Ocean Dynamics, 69, 1333-1357.

5豊田隆寛, 木村詞明, 浦川昇吾, 辻野博之, 中野英之, 坂本圭, 山中吾郎, 2020: 海洋・海氷シミュレーションにおける海氷速度データの利用. 月刊海洋, 52, 42-47.

6*

Stewart, K. D., W. M. Kim, S. Urakawa, A. McC. Hogg, S. Yeager, H. Tsujino, H.
Nakano, A. E. Kiss, and G. Danabasoglu, 2020: JRA55-do-based repeat year
forcing datasets for driving ocean-sea-ice models. Ocean Modelling, 147,
101557, doi:10.1016/j.ocemod.2019.101557.

西宮隆仁

1*

Tamaribuchi, K., A. Kobayashi, T. Nishimiya, F. Hirose, and S. Annoura, 2019:
Characteristics of Shallow Low Frequency Earthquake Off the Kii Peninsulain 2004 revealed by Ocean Bottom Seismometer. Geophysical Research
Letters, 46, 13737-13745, doi:10.1029/2019GL085158.

庭野匡思

1*

Ménard, C. B., Essery, R., Barr, A., Bartlett, P., Derry, J., Dumont, M., Fierz, C.,
Kim, H., Kontu, A., Lejeune, Y., Marks, D., Niwano, M., Raleigh, M., Wang,
L., and Wever, N., 2019: Meteorological and evaluation datasets for snow
modelling at ten reference sites: description of in situ and bias-correctedreanalysis data. Earth System Science Data, 11, 865-880,
doi:10.5194/essd-11-865-2019.

2*

Masashi Niwano, Akihiro Hashimoto, and Teruo Aoki, 2019: Cloud-driven
modulations of Greenland ice sheet surface melt. Scientific Reports, 9, 10380,
doi:10.1038/s41598-019-46152-5.

3

橋本 明弘，山崎 哲秀，青木 輝夫，庭野 匡思，山口 悟, 2019: グリーンランド北西部シオラパルク・カナックにおける 強風の出現特性. 北海道の雪氷, 38, 81-84.

4*

Kokhanovsky, A., Lamare, M., Danne, O., Brockmann, C., Dumont, M., Picard, G.,
Arnaud, L., Favier, V., Jourdain, B., Le Meur, E., Di Mauro, B., Aoki, T.,
Niwano, M., Rozanov, V., Korkin, S., Kipfstuhl, S., Freitag, J., Hoerhold, M.,
Zuhr, A., Vladimirov, 2019: Retrieval of snow properties from the Sentinel-3
Ocean and Land Colour Instrument. Remote Sensing, 11, 2280,
doi:10.3390/rs11192280.

1*

Murata, A., S. I. Watanabe, H. Sasaki, H. Kawase, and M. Nosaka, 2019: The
development of a resolution-independent tropical cyclone detection scheme
for high-resolution climate model simulations. Journal of the MeteorologicalSociety of Japan, 97, 519-531, doi:10.2151/jmsj.2019-035.

2*

Nosaka, M., H. Kawase, H. Sasaki, and A. Murata, 2019: Influence of the
Temporal Resolution of Sea Surface Temperature on Winter Precipitation

野坂真也－ 223 －

6. 成果発表

6.1. 論文等

over the Coastal Area of the Sea of Japan. SOLA, 15, 107-112,
doi:10.2151/sola.2019-020.

橋本明弘

3*

Kawase, H., Y. Imada, H. Sasaki, T. Nakaegawa, A. Murata, M. Nosaka, and I.
Takayabu, 2019: Contribution of Historical Global Warming to Local‐Scale
Heavy Precipitation in Western Japan Estimated by Large Ensemble High‐
Resolution Simulations. Journal of Geophysical Research Atmosphere, 124,6093-6103, doi:10.1029/2018JD030155.

4*

Watanabe, S. I., A. Murata, H. Sasaki, H. Kawase, and M. Nosaka, 2019: Future
Projection of Tropical Cyclone Precipitation over Japan with a
High-Resolution Regional Climate Model. Journal of the MeteorologicalSociety of Japan, 97, 805-820.

5*

Kawase, H., T. Yamazaki, S. Sugimoto, T. Sasai, R. Ito, T. Hamada, M.
Kuribayashi, M. Fujita, A. Murata, M. Nosaka and H. Sasaki, 2020: Changes
in extremely heavy and light snow-cover winters due to global warming overhigh mountainous areas in central Japan. Progress in Earth and Planetary
Science, 7, doi:10.1186/s40645-020-0322-x.

1*

Kajino, M., M. Deushi, T. T. Sekiyama, N. Oshima, K. Yumimoto, T. Y. Tanaka, J.
Ching, A. Hashimoto, T. Yamamoto, M. Ikegami, A. Kamada, M. Miyashita,
Y. Inomata, S. Shima, K. Adachi, Y. Zaizen, Y. Igarashi, H. Ueda, T. Maki, M.
Mikami., 2019: NHM-Chem, the Japan Meteorological Agency’s regional
meteorology – chemistry model: model evaluations toward the consistentpredictions of the chemical, physical, and optical properties of aerosols.
Journal of the Meteorological Society of Japan, 97（2）, 337-374.

2*

Hideaki Ohtake,Fumichika Uno, Takashi Oozeki, Syugo Hayashi, Junshi Ito,
Akihiro Hashimoto, Hiromasa Yoshimura, and Yoshinori Yamada, 2019:
Solar Irradiance Forecasts by Mesoscale Numerical Weather Prediction
Models with Different Horizontal Resolutions. Energies, 12,
doi:10.3390/en12071374.

3*

Ohtake H., F. Uno, T. Oozeki, S. Hayashi, J. Ito, A. Hashimoto, H. Yoshimura, Y.
Yamada, 2019: Solar irradiance forecasts by mesoscale numerical weather
prediction models with different horizontal resolutions. Energies, 12, 1374,
doi:10.3390/en12071374.

4

Hashimoto, A., T. Mori, T. Shimbori and A. Takagi, 2019: An experiment innumerical prediction of volcanic gas transportation. CAS/JSC WGNE
Research Activities in Atmospheric and Oceanic Modelling, 49, 5-07.

5Hashimoto, A. , N. Orikasa, T. Tajiri, Y. Zaizen, and M. Murakami, 2019:
Numerical simulation of shallow cloud formation in the United ArabEmirates. CAS/JSC WGNE Research Activities in Atmospheric and Oceanic
Modelling, 49, 5-09.

6*

Masashi Niwano, Akihiro Hashimoto, and Teruo Aoki, 2019: Cloud-driven
modulations of Greenland ice sheet surface melt. Scientific Reports, 9, 10380,
doi:10.1038/s41598-019-46152-5.

7佐藤陽祐, 當房豊, 山下克也, 荒木健太郎, 橋本明弘, 梶野瑞王, 中島孝, 三隅良平,
小池真, 岩崎杉紀, 川合秀明, 飯塚芳徳, 高橋麗, 山内晃, 折笠成宏, 齋藤泉, 藤田啓恵, 酒井健人, 郭威鎮, 田尻拓也, 島伸一郎, 岩本洋子, 2019: 「2018 年度エ
アロゾル・雲・降水の相互作用に関する研究集会」報告. 天気, 66, 479-484.

－ 224 －

6. 成果発表

6.1. 論文等

8

橋本 明弘，山崎 哲秀，青木 輝夫，庭野 匡思，山口 悟, 2019: グリーンランド北西部シオラパルク・カナックにおける 強風の出現特性. 北海道の雪氷, 38, 81-84.

9*

Yamaguchi S., M. Ishizaka, H. Motoyoshi, S. Nakai, V. Vionnet, T. Aoki, K.
Yamashita, A. Hashimoto, and A. Hachikubo, 2019: Measurement of specificsurface area of fresh solid precipitation particles in heavy snowfall regions ofJapan. The Cryosphere, 13, 2713-2732.

10* Hashimoto, A., H. Motoyoshi, N. Orikasa, and R. Misumi, 2020: Process-tracking
scheme based on bulk microphysics to diagnose the features of snow
particles. SOLA, 16, 51-56, doi:10.2151/sola.2020-009.
橋本徹夫

1*

Murotani,S., K. Satake, H. Tsuruoka, H. Miyake, T. Sato, T. Hahsimoto, H.
Knamori, 2020: A Database of Digitized and Analog Seismograms ofHistorical Earthquakes in Japan. Seismological Research Letter, 91,
1459-1468.

林 修吾

1*

Hideaki Ohtake,Fumichika Uno, Takashi Oozeki, Syugo Hayashi, Junshi Ito,
Akihiro Hashimoto, Hiromasa Yoshimura, and Yoshinori Yamada, 2019:
Solar Irradiance Forecasts by Mesoscale Numerical Weather Prediction
Models with Different Horizontal Resolutions. Energies, 12,
doi:10.3390/en12071374.

2*

Ohtake H., F. Uno, T. Oozeki, S. Hayashi, J. Ito, A. Hashimoto, H. Yoshimura, Y.
Yamada, 2019: Solar irradiance forecasts by mesoscale numerical weather
prediction models with different horizontal resolutions. Energies, 12, 1374,
doi:10.3390/en12071374.

1*

Harada, Y., K. Sato, T. Kinoshita, R. Yasui, T. Hirooka, and H. Naoe, 2019:
Diagnostics of a WN2‐Type Major Sudden Stratospheric Warming Event in
February 2018 Using a New Three‐Dimensional Wave Activity Flux.
Journal of Geophysical Research Atmosphere, 124, 7018-7033,
doi:10.1029/2019JD030648.

2*

Tegtmeier, S., J. Anstey, S. Davis, R. Dragani, Y. Harada, I. Ivanciu, R. P.
Kedzierski, K. Krüger, B. Legras, C. Long, J. S. Wang, K. Wargan, and J. S.
Wright, 2020: Temperature and tropopause characteristics from reanalyses
data in the tropical tropopause layer. Atmospheric Chemistry and Physics,
20, 753-770.

1*

Toyoda, T., N. Hirose, L. S. Urakawa, H. Tsujino, H. Nakano, N. Usui, Y. Fujii, K.
Sakamoto, and G. Yamanaka, 2019: Effects of inclusion of adjoint sea ice
rheology on backward sensitivity evolution examined using an adjoint
ocean–sea ice model. Monthly Weather Review, 147, 2145-2162,
doi:10.1175/MWR-D-18-0198.1.

2*

Sakamoto, K., H. Tsujino, H. Nakano, S. Urakawa, T. Toyoda, N. Hirose, N. Usuiand G. Yamanaka, 2019: Development of a 2km-resolution ocean model
covering the coastal seas around Japan for operational application. Ocean
Dynamics, doi:10.1007/s10236-019-01291-1.

3*

Hirose, N., N. Usui, K. Sakamoto, H. Tsujino, G. Yamanaka, H. Nakano, S.
Urakawa, T. Toyoda, Y. Fujii, and N. Kohno, 2019: Development of a new
operational system for monitoring and forecasting coastal and open oceanstates around Japan. Ocean Dynamics, 69, 1333-1357.

4

広瀬成章, 坂本圭, 碓氷典久, 山中吾郎, 高野洋雄, 2020: 日本沿岸海況監視予測シス

原田やよい

広瀬成章

－ 225 －

6. 成果発表

6.1. 論文等

テム 10 年再解析値（JPN Atlas 2020）. 気象研究所技術報告, 83,
doi:10.11483/mritechrepo.83.
弘瀬冬樹

藤井陽介

藤田 匡

1*

Hirose, F., K. Maeda, and Y. Yoshida, 2019: Maximum magnitude of subduction
earthquakes along the Japan-Kuril-Kamchatka trench estimated fromseismic moment conservation. Geophysical Journal International, 219,
1590-1612, doi:10.1093/gji/ggz381.

2*

Hirose, F., K. Maeda, and O. Kamigaichi, 2019: Tidal Forcing of Interplate
Earthquakes Along the Tonga‐Kermadec Trench. Journal of GeophysicalResearch Solid Earth, 124, 10498-10521, doi:10.1029/2019JB018088.

3*

Tamaribuchi, K., A. Kobayashi, T. Nishimiya, F. Hirose, and S. Annoura, 2019:
Characteristics of Shallow Low Frequency Earthquake Off the Kii Peninsulain 2004 revealed by Ocean Bottom Seismometer. Geophysical Research
Letters, 46, 13737-13745, doi:10.1029/2019GL085158.

4

前田憲二, 弘瀬冬樹, 溜渕功史, 2020: 群発的地震活動を前震活動と仮定して行う本震の発生予測手法（5）： 最近の活動事例による検証と ETAS モデルとの比較. 予知連会報, 103, 356-360.

1

藤井, 陽介, 石川, 一郎, 豊田, 隆寛, 浦川, 昇吾, 杉本, 裕之, 2019: 全球結合予測のための海洋データ同化システムの開発. 平成 30 年度「異常気象と長期変動」研
究集会報告, 67-70.

2

Kessler, W.S., S. E. Wijffels, S. Cravatte, N. Smith, Y. Fujii, Y. Takaya, et al., 2019:
Second Report of TPOS 2020. Second Report of TPOS 2020, GOOS-234, 265.

3*

Toyoda, T., N. Hirose, L. S. Urakawa, H. Tsujino, H. Nakano, N. Usui, Y. Fujii, K.
Sakamoto, and G. Yamanaka, 2019: Effects of inclusion of adjoint sea ice
rheology on backward sensitivity evolution examined using an adjoint
ocean–sea ice model. Monthly Weather Review, 147, 2145-2162,
doi:10.1175/MWR-D-18-0198.1.

4

Fujii, Y., N. Usui, et al., 2019: Observing System Evaluation Based on Ocean Data
Assimilation and Prediction Systems: On-Going Challenges and a Future
Vision for Designing and Supporting Ocean Observational Networks.
Frontiers in Marine Science, 6, 417, doi:10.3389/fmars.2019.00417.

5

Penny, S.G, Y. Fujii, et al., 2019: Observational Needs for Improving Ocean and
Coupled Reanalysis, S2S Prediction, and Decadal Prediction. Frontiers in
Marine Science, 6, 391, doi:10.3389/fmars.2019.00391.

6

Subramanian, A. et al. , 2019: Ocean observations to improve our understanding,modeling, and forecasting of subseasonal-to-seasonal variability. Frontier inMarine Science, 6:427, doi:10.3389/fmars.2019.00427.

7*

Hirose, N., N. Usui, K. Sakamoto, H. Tsujino, G. Yamanaka, H. Nakano, S.
Urakawa, T. Toyoda, Y. Fujii, and N. Kohno, 2019: Development of a new
operational system for monitoring and forecasting coastal and open oceanstates around Japan. Ocean Dynamics, 69, 1333-1357.

1

T. Fujita, H. Seko, T. Kawabata, D. Hotta, K. Sawada, Y. Ikuta, M. Kunii, T.
Tsukamoto, and G. Akimoto, 2019: Time and Space Observation Error
Correlation of Doppler Radar Radial Winds. extended abstract in the 39th

International Conference on Radar Meteorology, Americal MeteorologicalSociety, 16-20 Sep. 2019, Nara, Japan.
2

藤田匡, 2020: 観測誤差相関を考慮した変分法によるドップラー速度データ同化. 数－ 226 －

6. 成果発表

6.1. 論文等

値予報課報告・別冊, 66, 145-155.
保坂征宏

干場充之

堀田大介

1*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,
R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.

2

Yogo, Y., Y. Ioka, T. Tanikawa, M. Hosaka, H. Ishida, and T. Aoki, 2019: Algorithm
Theoretical Basis for the Himawari-8, -9/AHI Cryosphere Product Part 1:
Snow Cover. Meteorological Satellite Center Technical Note, 64, 1-12.

3

Ioka, Y., Y. Yogo, T. Tanikawa, M. Hosaka, H. Ishida, and T. Aoki, 2019: Algorithm
Theoretical Basis for the Himawari-8, -9/AHI Cryosphere Product Part 2: Sea
Ice Distribution. Meteorological Satellite Center Technical Note, 64, 13-21.

4*

Kusunoki, S., T. Ose, and M. Hosaka, 2020: Emergence of unprecedented climatechange in projected future precipitation. Scientific Reports, 10,
doi:10.1038/s41598-020-61792-8.

1*

Cochran, E., J. Bunn, S. Minson, A. Baltay, D. Kilb, Y. Kodera, and M. Hoshiba,
2019: Event Detection Performance of the PLUM Earthquake Early Warning
Algorithm in Southern California. Bulletin of the Seismological Society ofAmerica, 109(4), 1524-1541.

2

干場充之, 2019: シンポジュウム「南海トラフ地震臨時情報：科学的データや知見の活用」開催報告. 日本地震学会ニュースレター, 72, NL-4-31-33.

3*

Meier, M.-A., Y. Kodera, M. Böse, A. Chung, M. Hoshiba, E. Cochran, S. Minson, E.
Hauksson, and T. Heaton, 2020: How often can Earthquake Early Warning
systems alert sites with high‐intensity ground motion?. Journal ofGeophysical Research Solid Earth, 125, e2019JB017718,
doi:10.1029/2019JB017718.

4

干場充之，中原恒，植竹富一，古村孝志, 2020: 「新・強震観測の最新情報」連載にあたって. 日本地震学会ニュースレター, 72, NL-5-12.

5*Kodera, Y., N. Hayashimoto, K. Moriwaki, K. Noguchi, J. Saito, J. Akutagawa, S.
Adachi, M. Morimoto, K. Okamoto, S. Honda, and M. Hoshiba, 2020:
First-Year Performance of a Nationwide Earthquake Early Warning System
Using a Wavefield-Based Ground-Motion Prediction Algorithm in Japan.
Seismological Research Letter, 91(2A), 826-834, doi:10.1785/0220190263.

1*

Hotta, D., and Y. Ota, 2019: Statistical generation of SST perturbations withspatio-temporally coherent growing patterns. Quarterly Journal of the Royal
Meteorological Society, 145, 1660-1673, doi:10.1002/qj.3518.

2

瀬古弘, 和田章義, 村田昭彦, 宮川知己, 竹見哲也, 福井真, 川畑拓矢, 北村祐二, 清木達也, 堀田大介, 2019: 第５回非静力学モデルに関する国際ワークショップの報告. 天気, 66, 501-506.

3*

Ujiie, M. and D. Hotta, 2019: Elimination of spectral blocking by ensuring rotation‐free property of discretised pressure gradient within a spectral semi‐
implicit semi‐Lagrangian global atmospheric model. Quarterly Journal of
the Royal Meteorological Society, 145, 3351-3358, doi:10.1002/qj.3636.

4

T. Fujita, H. Seko, T. Kawabata, D. Hotta, K. Sawada, Y. Ikuta, M. Kunii, T.
Tsukamoto, and G. Akimoto, 2019: Time and Space Observation Error－ 227 －

6. 成果発表

6.1. 論文等

Correlation of Doppler Radar Radial Winds. extended abstract in the 39th

International Conference on Radar Meteorology, Americal MeteorologicalSociety, 16-20 Sep. 2019, Nara, Japan.

前田修平

眞木貴史

益子 渉

5

筆保弘徳、山崎哲、中村哲、安成哲平、吉田龍二、釜江陽一、下瀬健一、大橋唯太、
堀田大介, 2019: ニュース・天気予報がよくわかる気象キーワード事典 . ニュース・天気予報がよくわかる気象キーワード事典 .

6*

Le DUC, Kazuo SAITO, Daisuke HOTTA, 2020: An Explanation for the
Diagonally Predominant Property of the Positive Symmetric Ensemble
Transform Matrix. Journal of the Meteorological Society of Japan, 98,
455-462.

1*

Shimpo A., and co-authors, 2019: Primary Factors behind the Heavy Rain Event ofJuly 2018 and the Subsequent Heat Wave in Japan. SOLA, 15A-003.

2*

Sekizawa S., T. Miyasaka, H.Nakamura, A. Shimpo, K.Takemura, S. Maeda,
2019: Anomalous Moisture Transport and Oceanic Evaporation during a
Torrential Rainfall Event over Western Japan in Early July 2018. SOLA,
15A-005.

3*

Takemura, K., S. Wakamatsu, H. Togawa, A. Shimpo, C. Kobayashi, S. Maeda, and
H. Nakamura, 2019: Extreme moisture flux convergence over western Japan
during the Heavy Rain Event of July 2018. . SOLA, 15A-009,
doi:10.2151/sola.15A-009.

1*

Kajino, M., M. Deushi, T. T. Sekiyama, N. Oshima, K. Yumimoto, T. Y. Tanaka, J.
Ching, A. Hashimoto, T. Yamamoto, M. Ikegami, A. Kamada, M. Miyashita,
Y. Inomata, S. Shima, K. Adachi, Y. Zaizen, Y. Igarashi, H. Ueda, T. Maki, M.
Mikami., 2019: NHM-Chem, the Japan Meteorological Agency’s regional
meteorology – chemistry model: model evaluations toward the consistentpredictions of the chemical, physical, and optical properties of aerosols.
Journal of the Meteorological Society of Japan, 97（2）, 337-374.

2

M. Kondo, P. K. Patra, S. Sitch, P. Friedlingstein, B. Poulter, F. Chevallier, P. Ciais,
J. G. Canadell, A. Bastos, R. Lauerwald, L. Calle, K. Ichii, P. Anthoni, A.
Arneth, V. Haverd, A. K. Jain, E. Kato, M. Kautz, R. M. Law, S. Lienert, T.
Maki et al. , 2019: State of the science in reconciling top‐down and bottom‐
up approaches for terrestrial CO2 budget. Global change biology.

3*

S. Itahashi, K. Yumimoto, J. Kurokawa, Y. Morino, T. Nagashima, K. Miyazaki, T.
Maki and T. Ohara, 2020: Inverse estimation of NO x emissions over China
and India 2005–2016: contrasting recent trends and future perspectives.
Environmental Research Letters, 14, 124020.

1

益子渉, 2019: 高解像度モデルを用いたスーパーセル竜巻の数値シミュレーション.

月刊海洋号外「大気・海洋の渦・対流・シア流とその相互作用 －新野宏教授退職記念号－」, 62, 191-197.
松枝秀和

1

Pisso,I., P. Patra, M. Takigawa, T. Machida, H. Matsueda, and Y. Sawa, 2019:
Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes
using in situ aircraft and ground-based measurements in the Tokyo area.
Carbon Balance and Management, 14:6, 1-23,
doi:org/10.1186/s13021-019-0118-8.

2*

Inai, Y., R. Fujita, T. Machida, H. Matsueda, Y. Sawa, K. Tsuboi, K. Katsumata, S.
Morimoto, S. Aoki, and T. Nakazawa, 2019: Seasonal characteristics of trace－ 228 －

6. 成果発表

6.1. 論文等

gas transports into the extratropical upper troposphere and lower
stratosphere. Atmospheric Chemistry and Physics, 19, 7073-7103,
doi:10.5194/acp-19-7073-2019.

水田 亮

3*

Ouchi, M., Y. Matsumi, T. Nakayama, K. Shimizu, T. Sawada, T. Machida, H.
Matsueda, Y. Sawa, I. Morino, O. Uchino, T. Tanaka, and R. Imasu, 2019:
Development of a balloon-borne instrument for CO2 vertical profile
observations in the troposphere. Atmospheric Measurement Techniques, 12,5639-5653, doi:org/10.5194/amt-12-5639-2019.

4*

Matsueda, H., R. R. Buchholz, K.Ishijima, H. M. Worden, D. Hammerling, and T.
Machida, 2019: Interannual variation of upper tropospheric CO over thewestern Pacific linked with Indonesian fires. SOLA, 15, 205-210,
doi:10.2151/sola.2019-037.

5

町田敏暢, 坪井一寛, 丹羽洋介, 梅澤拓, 石島健太郎, 松枝秀和, 2020: 民間旅客機が切り拓く大気中二酸化炭素の新たな観測ネットワーク. ＪＥＴＩ, 68 , 83-86.

1*Strommen, K., I. Mavilia, S. Corti, M. Matsueda, P. Davini, J. von Hardenberg,
P.-L. Vidale, and R. Mizuta, 2019: The sensitivity of Euro-Atlantic regimes tomodel horizontal resolution. Geophysical Research Letters, 46, 7810-7818,
doi:10.1029/2019GL082843.

2*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,
R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.

3*

Yamaguchi, M., J. C. L. Chan, I.-J. Moon, K. Yoshida, and R. Mizuta, 2020: Global
warming changes tropical cyclone translation speed. Nature
Communications, 11, 47.

4*

Watanabe, Sh., M. Fujita, S. Kawazoe, S. Sugimoto, Y. Okada, R. Mizuta, M. Ishii,
2020: Frequency change of clear-air turbulence over the North Pacific under2 K global warming – ensemble projections using a 60-km atmosphericgeneral circulation model. Journal of the Meteorological Society of Japan, 97,
757-771, doi:10.2151/jmsj.2019-038.

5*

Hatsuzuka D, Sato T, Yoshida K, Ishii M, and Mizuta R, 2020: Regional projectionof tropical-cyclone-induced extreme precipitation around Japan based onlarge ensemble simulations.. SOLA, 16, 23-29, doi:10.2151/sola.2020-005.

6*

Nakagawa, Y., Y. Onoue, S. Kawahara, F. Araki, K. Koyamada, D. Matsuoka, Y.
Ishikawa, M. Fujita, S. Sugimoto, Y. Okada, S. Kawazoe, Sh. Watanabe, M.
Ishii, R. Mizuta, A. Murata, and Hiroaki Kawase, 2020: Developments of asystem for efficient content-based retrieval to analyze Large volume climate
data.. Progress in Earth and Planetary Science,
doi:10.1186/s40645-019-0315-9.

7*

B. Ayarzagüena, A. J. Charlton-Perez, A. H. Butler, P. Hitchcock, I. R. Simpson, L.
M. Polvani, N. Butchart, E. P. Gerber, L. Gray, B. Hassler, P. Lin, F. Lott, E.
Manzini, R. Mizuta, C. Orbe, S. Osprey, D. Saint-Martin, M. Sigmond, M.
Taguchi, E. M. Volo, 2020: Uncertainty in the response of sudden
stratospheric warmings and stratosphere-troposphere coupling to－ 229 －

6. 成果発表

6.1. 論文等

quadrupled CO2 concentrations in CMIP6 models. Journal of GeophysicalResearch Atmosphere, 125, e2019JD032345, doi:10.1029/2019JD032345.
8*

Noguchi, S., Y. Kuroda, H. Mukougawa, R. Mizuta, and C. Kobayashi, 2020:
Impact of satellite observations on forecasting sudden stratosphericwarmings. Geophysical Research Letters, 47, e2019GL086233,
doi:10.1029/2019GL086233.

水野吉規

1

水野吉規, 八木俊正, 森一安, 2019: 弱い不安定成層を伴う乱流境界層における運動量
輸送のスケール. 数理解析研究所講究録, 2117, 16.

村田昭彦

1*

Murata, A., S. I. Watanabe, H. Sasaki, H. Kawase, and M. Nosaka, 2019: The
development of a resolution-independent tropical cyclone detection scheme
for high-resolution climate model simulations. Journal of the MeteorologicalSociety of Japan, 97, 519-531, doi:10.2151/jmsj.2019-035.

2*

Nosaka, M., H. Kawase, H. Sasaki, and A. Murata, 2019: Influence of the
Temporal Resolution of Sea Surface Temperature on Winter Precipitation
over the Coastal Area of the Sea of Japan. SOLA, 15, 107-112,
doi:10.2151/sola.2019-020.

3*

Kawase, H., Y. Imada, H. Sasaki, T. Nakaegawa, A. Murata, M. Nosaka, and I.
Takayabu, 2019: Contribution of Historical Global Warming to Local‐Scale
Heavy Precipitation in Western Japan Estimated by Large Ensemble High‐
Resolution Simulations. Journal of Geophysical Research Atmosphere, 124,6093-6103, doi:10.1029/2018JD030155.

4

瀬古弘, 和田章義, 村田昭彦, 宮川知己, 竹見哲也, 福井真, 川畑拓矢, 北村祐二, 清木達也, 堀田大介, 2019: 第５回非静力学モデルに関する国際ワークショップの報告. 天気, 66, 501-506.

5*

Watanabe, S. I., A. Murata, H. Sasaki, H. Kawase, and M. Nosaka, 2019: Future
Projection of Tropical Cyclone Precipitation over Japan with a
High-Resolution Regional Climate Model. Journal of the MeteorologicalSociety of Japan, 97, 805-820.

6*

吉野純, 山本康平, 村田昭彦, 小林智尚, 2019: 直接ダウンスケーリングによる伊勢湾
における可能最大高潮の将来変化. 土木学会論文集, 75, 1189-1194,
doi:10.2208/kaigan.75.I_1189.

7*

Kawase, H., Y. Imada, H. Tsuguti, T. Nakaegawa, N. Seino, A. Murata, and I.
Takayabu, 2020: The Heavy Rain Event of July 2018 in Japan enhanced byhistorical warming. Bulletin of the American Meteorological Society, 101,
S109-S114.

8*

Nakagawa, Y., Y. Onoue, S. Kawahara, F. Araki, K. Koyamada, D. Matsuoka, Y.
Ishikawa, M. Fujita, S. Sugimoto, Y. Okada, S. Kawazoe, Sh. Watanabe, M.
Ishii, R. Mizuta, A. Murata, and Hiroaki Kawase, 2020: Developments of asystem for efficient content-based retrieval to analyze Large volume climate
data.. Progress in Earth and Planetary Science,
doi:10.1186/s40645-019-0315-9.

9*Kawase, H., T. Yamazaki, S. Sugimoto, T. Sasai, R. Ito, T. Hamada, M.
Kuribayashi, M. Fujita, A. Murata, M. Nosaka and H. Sasaki, 2020: Changes
in extremely heavy and light snow-cover winters due to global warming overhigh mountainous areas in central Japan. Progress in Earth and Planetary
Science, 7, doi:10.1186/s40645-020-0322-x.

－ 230 －

6. 成果発表

6.1. 論文等

1*

Lin, Y., T. Ichinose, Y. Yamao, and H. Mouri , 2020: Wind velocity and temperaturefields under different surface heating conditions in a street canyon in windtunnel experiments. Building and Environment, 168, 106500,
doi:10.1016/j.buildenv.2019.106500.

2市川陽一, 露木敬允, 薦田直人, 宮元健太, 廣畑智也, 中園真衣, 関光一, 毛利英明,
守永武史, 2020: 森林における大気汚染物質の輸送におよぼす遮蔽による流体力
学的効果の解析. 大気環境学会誌, 55, 50-59.

森 健彦

1

Hashimoto, A., T. Mori, T. Shimbori and A. Takagi, 2019: An experiment innumerical prediction of volcanic gas transportation. CAS/JSC WGNE
Research Activities in Atmospheric and Oceanic Modelling, 49, 5-07.

守永武史

1

市川陽一, 露木敬允, 薦田直人, 宮元健太, 廣畑智也, 中園真衣, 関光一, 毛利英明,
守永武史, 2020: 森林における大気汚染物質の輸送におよぼす遮蔽による流体力
学的効果の解析. 大気環境学会誌, 55, 50-59.

谷口無我

1*

Takeshi Ohba, Muga Yaguchi, Kana Nishino, Nozomi Numanami, Yasushi Daita,
Chiho Sukigara, Masanori Ito and Urumu Tsunogai, 2019: Time variations in
the chemical and isotopic composition of fumarolic gases at Hakone volcano,
Honshu Island, Japan, over the earthquake swarm and eruption in 2015,
interpreted by magma sealing model. Earth, Planets and Space, 71, 48,
doi:10.1186/s40623-019-1027-5.

2*

MUGA YAGUCHI, TAKESHI OHBA and MASAKAZU SAGO, 2019: The natureand source of the volcanic ash during the 2015 small phreatic eruption at
Hakone volcano, central Japan. Geochemical Journal, 53, 209-217,
doi:10.2343/geochemj.2.0560.

3*

Takeshi Ohba, Muga Yaguchi, Kana Nishino, Nozomi Numanami, Urumu
Tsunogai, Masanori Ito and Ryo Shingubara, 2019: Time Variation in theChemical and Isotopic Composition of Fumarolic Gasses at Kusatsu-Shirane
Volcano, Japan. Frontiers in Earth Science, 7, 249,
doi:10.3389/feart.2019.00249.

4*

Muga Yaguchi, Takeshi Ohba, Nozomi Numanami and Ryohei Kawaguchi, 2019:
Constituent Mineral and Water-Soluble Components of Volcanic Ash from the2018 Eruption of Mt. Motoshirane of Kusatsu-Shirane Volcano, Japan.
Journal of Disaster Research, 14, 991-995, doi:10.20965/jdr.2019.p0991.

5*

Takeshi Ohba, Muga Yaguchi, Kana Nishino, and Nozomi Numanami, 2019: Time
Variation in the Chemical and Isotopic Composition of Volcanic Gas at Mt.
Mihara of Izu-Oshima Island, Japan. Journal of Disaster Research, 14,972-977, doi:10.20965/jdr.2019.p0972.

6*

代田寧, 大場武, 谷口無我, 十河孝夫, 原田昌武, 2019: 箱根火山大涌谷北側斜面で2017 年に観測された噴気組成（Ｃ/Ｓ比）の変動. 神奈川県温泉地学研究所報告,
51, 37-44.

7*Muga Yaguchi, Akihiko Terada, Yasuo Ogawa, 2020: Air-Fall Ash from the Main
Crater of Asama Volcano on August 7, 2019, and its Water-Soluble
Components. Journal of Disaster Research, 15, 53-56.

8

谷口無我, 大場 武, 外山浩太郎, 福岡管区気象台, 鹿児島地方気象台, 霧島山硫黄山周辺の湧水･湯だまりの化学組成(2019 年 1 月 25 日現在), 火山噴火予知連絡会会報, 132, 312-316

9

大場武, 谷口無我, 外山浩太郎, 角野浩史, 角皆潤, 伊藤昌稚, 新宮原諒, 霧島硫黄毛利英明

－ 231 －

6. 成果発表

6.1. 論文等

山噴気の化学組成（2019 年 1 月 25 日）および環境大気 H2S 濃度変化, 火山噴火予知連絡会会報, 132, 317-323.

柳瀬 亘

山口宗彦

山崎明宏

10

大場武，西野佳奈，沼波望, 谷口無我 , 鬼澤真也, 松田健助, 石原昂典, 伊豆大島三原山噴気の化学組成（2019 年 1 月 29 日）, 火山噴火予知連絡会会報, 132,
152-154.

1*

Yanase, W. and H. Niino, 2019: Parameter sweep experiments on a spectrum of
cyclones with diabatic and baroclinic processes. Journal of the Atmospheric
Sciences, 76, 1917-1935, doi:10.1175/JAS-D-18-0232.1.

2

柳瀬亘, 2019: 低気圧の多様性 －熱帯低気圧・温帯低気圧・ハイブリッド低気圧－. 月
刊海洋号外「新野宏教授退職記念号」 , 62, 34-38.

1

Fukuda, J. and M. Yamaguchi, 2019: Determining Probability-Circle Radii of
Tropical Cyclone Track Forecasts with Multiple Ensembles. RSMC Tokyo –Typhoon Center Technical Review, 21, 1-19.

2*

Titley, H. A., M. Yamaguchi, L. Magnusson, 2019: Current and potential use of
ensemble forecasts in operational TC forecasting: results from a global
forecaster survey. Tropical Cyclone Research and Review, 8, 166-180.

3*

Magnusson, L., J. D. Doyle, W. A. Komaromi, F. Zhang, R. Torn, C. K. Tang, C. L.
Chan, and M. Yamaguchi, 2019: Advances in understanding difficult cases oftrack forecasts. Tropical Cyclone Research and Review, 8, 109-122.

4*

Camargo, S. J., J. Camp, R. L. Elsberry, P. A. Gregory, P. J. Klotzbach, C. J.
Schreck III, A. H. Sobel, M. J. Ventrice, F. Vitart, Z. Wang, M. C. Wheeler, M.
Yamaguchi, and R. Zhan, 2019: Tropical Cyclone Prediction on Subseasonal
Time-Scales. Tropical Cyclone Research and Review, 8, 150-165.

5*

Fukuda, J., and M. Yamaguchi, 2019: Determining 70 Percent Probability-Circle
Radii of Tropical Cyclone Track Forecasts with Multiple Ensembles. SOLA,
15, 250-256.

6*

Shimada, U., M. Yamaguchi, and S. Nishimura, 2020: Is the Number of Tropical
Cyclone Rapid Intensification Events in the Western North Pacific
Increasing?. SOLA, 16, 1-5.

7*

Yamaguchi, M., J. C. L. Chan, I.-J. Moon, K. Yoshida, and R. Mizuta, 2020: Global
warming changes tropical cyclone translation speed. Nature
Communications, 11, 47.

8*Tang, K., J. C. L. Chan, and M. Yamaguchi, 2020: Effects of the Outer Size on
Tropical Cyclone Track Forecasts. Meteorological Applications,doi:10.1002/met.1888.

9*

Fudeyasu. H., R. Yoshida, M. Yamaguchi, H. Eito, C. Muroi, S. Nishimura, K.
Bessho, Y. Oikawa, and N. Koide, 2020: Development Conditions for Tropical
Storms over the Western North Pacific Stratified by Large-scale Flow
Patterns. Journal of the Meteorological Society of Japan, 98, 61-72,
doi:10.2151/jmsj.2020-004.

1*

Nishita‐Hara, C., M. Hirabayashi, K. Hara, A. Yamazaki, and M. Hayashi, 2019:
Dithiothreitol-measured oxidative potential of size-segregated particulatematter in Fukuoka, Japan: effects of Asian dust events. GeoHealth, 3,
160-173.

2*

Takashima H., K. Hara, C. Nishita-Hara, Y. Fujiyoshi, K. Shiraishi, M. Hayashi,
A. Yoshino, A. Takami, A. Yamazaki, 2019: Short-term variation in－ 232 －

6. 成果発表

6.1. 論文等

atmospheric constituents associated with local front passage observed by a
3-D coherent Doppler lidar and in-situ aerosol/gas measurements.
Atmospheric Environment, 3.

山田芳則

山中吾郎

3*

Nakajima TY., H. Ishida, TM. Nagao, M. Hori, H. Letu, R. Higuchi, N. Tamaru, N.
Imoto, A. Yamazaki, 2019: Theoretical basis of the algorithms and earlyphase results of the GCOM-C (Shikisai) SGLI cloud products. Progress inEarth and Planetary Science, 6.

4*

Khatri, P., H. Iwabuchi, T. Hayasaka, H. Irie, T. Takamura, A. Yamazaki, A.
Damiani, H. Letu, and Q. Kai, 2019: Retrieval of cloud properties fromspectral zenith radiances observed by sky radiometers. AtmosphericMeasurement Techniques, 12, 6037-6047.

5*

Uchiyama, A., M. Shiobara, H. Kobayashi, T. Matsunaga, A. Yamazaki, K. Inei, K.
Kawai, and Y. Watanabe, 2019: Nocturnal aerosol optical depth
measurements with modified sky radiometer POM-02 using the moon as alight source. Atmospheric Measurement Techniques, 12, 6465-6488.

6*

Jiang, Z., M. Duan, H. Che, W. Zhang, T. Nakajima, M. Hashimoto, B. Chen, andA. Yamazaki, 2020: Inter-comparison between the Aerosol Optical Properties
Retrieved by Different Inversion Methods from SKYNET Sky Radiometer
Observations over Qionghai and Yucheng in China. AtmosphericMeasurement Techniques, 13, 1195-1212.

1*

Hideaki Ohtake,Fumichika Uno, Takashi Oozeki, Syugo Hayashi, Junshi Ito,
Akihiro Hashimoto, Hiromasa Yoshimura, and Yoshinori Yamada, 2019:
Solar Irradiance Forecasts by Mesoscale Numerical Weather Prediction
Models with Different Horizontal Resolutions. Energies, 12,
doi:10.3390/en12071374.

2*

Ohtake H., F. Uno, T. Oozeki, S. Hayashi, J. Ito, A. Hashimoto, H. Yoshimura, Y.
Yamada, 2019: Solar irradiance forecasts by mesoscale numerical weather
prediction models with different horizontal resolutions. Energies, 12, 1374,
doi:10.3390/en12071374.

1*

Toyoda, T., N. Hirose, L. S. Urakawa, H. Tsujino, H. Nakano, N. Usui, Y. Fujii, K.
Sakamoto, and G. Yamanaka, 2019: Effects of inclusion of adjoint sea ice
rheology on backward sensitivity evolution examined using an adjoint
ocean–sea ice model. Monthly Weather Review, 147, 2145-2162,
doi:10.1175/MWR-D-18-0198.1.

2*

Sakamoto, K., H. Tsujino, H. Nakano, S. Urakawa, T. Toyoda, N. Hirose, N. Usuiand G. Yamanaka, 2019: Development of a 2km-resolution ocean model
covering the coastal seas around Japan for operational application. Ocean
Dynamics, doi:10.1007/s10236-019-01291-1.

3*

Toyoda, T., K. Iwamoto, L. S. Urakawa, H. Tsujino, H. Nakano, K. Sakamoto, G.
Yamanaka, Y. Komuro, S. Nishino, and J. Ukita, 2019: Incorporation ofsatellite-derived thin-ice data into a global OGCM simulation. Climate
Dynamics, 53, 7113-7130, doi:10.1007/s00382-019-04979-8.

4*

Hirose, N., N. Usui, K. Sakamoto, H. Tsujino, G. Yamanaka, H. Nakano, S.
Urakawa, T. Toyoda, Y. Fujii, and N. Kohno, 2019: Development of a new
operational system for monitoring and forecasting coastal and open oceanstates around Japan. Ocean Dynamics, 69, 1333-1357.

－ 233 －

6. 成果発表

行本誠史

吉田康平

6.1. 論文等

5

豊田隆寛, 木村詞明, 浦川昇吾, 辻野博之, 中野英之, 坂本圭, 山中吾郎, 2020: 海洋・海氷シミュレーションにおける海氷速度データの利用. 月刊海洋, 52, 42-47.

6

広瀬成章, 坂本圭, 碓氷典久, 山中吾郎, 高野洋雄, 2020: 日本沿岸海況監視予測シス
テム 10 年再解析値（JPN Atlas 2020）. 気象研究所技術報告, 83,
doi:10.11483/mritechrepo.83.

1*

Kawai, H., S. Yukimoto, T. Koshiro, N. Oshima, T. Tanaka, H. Yoshimura, and R.
Nagasawa, 2019: Significant Improvement of Cloud Representation in Global
Climate Model MRI-ESM2. Geoscientific Model Development, 12, 2875-2897,
doi:10.5194/gmd-12-2875-2019.

2*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,
R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.

3*

Richter, J.H., H. Naoe, K. Yoshida, S. Yukimoto, et al., 2020: Response of the Quasi‐Biennial Oscillation to a warming climate in global climate models.
Quarterly Journal of the Royal Meteorological Society, 1-29,
doi:10.1002/qj.3749.

4*Bushell, A.C., H. Naoe, K. Yoshida, S. Yukimoto, et al., 2020: Evaluation of the
Quasi‐Biennial Oscillation in global climate models for the SPARC QBO‐
initiative. Quarterly Journal of the Royal Meteorological Society, 1-31,
doi:10.1002/qj.3765.

5*

Smith,C. J., R. J. Kramer, G. Myhre, K. Alterskjær, W. Collins, A. Sima, O.
Boucher, J.-L. Dufresne, P. Nabat, M. Michou, S. Yukimoto, J. Cole, D.
Paynter, H. Shiogama, F. M. O’Connor, E. Robertson, A. Wiltshire, T.
Andrews, C. Hannay, R. Miller, et al., 2020: Effective radiative forcing andadjustments in CMIP6 models. Atmospheric Chemistry and Physics,
doi:10.5194/acp-2019-1212.

1*

Mei, W., Y. Kamae, S.-P. Xie, and K. Yoshida, 2019: Variability and predictability ofNorth Atlantic hurricane frequency in a large ensemble of high-resolution
atmospheric simulations. Journal of Climate, 32, 3153-3167,
doi:10.1175/JCLI-D-18-0554.1.

2*

Naoe, H. and K. Yoshida, 2019: Influence of quasi-biennial oscillation on the boreal
winter extratropical stratosphere in QBOi experiments. Quarterly Journal of
the Royal Meteorological Society, 145, 2755-2771, doi:10.1002/qj.3591.

3*

Lamy, K., Deushi, M., Tanaka, T. Y., Yoshida, K., et al., 2019: Clear-sky ultraviolet
radiation modelling using output from the Chemistry Climate Model
Initiative. Atmospheric Chemistry and Physics, 19, 10087-10110,
doi:10.5194/acp-19-10087-2019.

4*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,
R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description andbasic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.

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6.1. 論文等

5*

Qian Y, Murakami H, Nakano M, Hsu P.-C, Delworth T. L, Kapnick S. B,
Ramaswamy V, Mochizuki T, Morioka Y, Doi T, Kataoka T, Nasuno T, YoshidaK, 2019: On the Mechanisms of the Active 2018 Tropical Cyclone Season in
the North Pacific . Geophysical Research Letters, 46, 12293-12302,
doi:10.1029/2019GL084566.

6*

Yamaguchi, M., J. C. L. Chan, I.-J. Moon, K. Yoshida, and R. Mizuta, 2020: Global
warming changes tropical cyclone translation speed. Nature
Communications, 11, 47.

7*

Smith, A. K., H. Naoe, K. Yoshida, et al., 2020: The equatorial stratosphericsemiannual oscillation and time‐mean winds in QBOi models. Quarterly
Journal of the Royal Meteorological Society, 1-17, doi:10.1002/qj.3690.

8*

Richter, J.H., H. Naoe, K. Yoshida, S. Yukimoto, et al., 2020: Response of the Quasi‐Biennial Oscillation to a warming climate in global climate models.
Quarterly Journal of the Royal Meteorological Society, 1-29,
doi:10.1002/qj.3749.

9*

Hatsuzuka D, Sato T, Yoshida K, Ishii M, and Mizuta R, 2020: Regional projectionof tropical-cyclone-induced extreme precipitation around Japan based onlarge ensemble simulations.. SOLA, 16, 23-29, doi:10.2151/sola.2020-005.

10* Bushell, A.C., H. Naoe, K. Yoshida, S. Yukimoto, et al., 2020: Evaluation of the
Quasi‐Biennial Oscillation in global climate models for the SPARC QBO‐
initiative. Quarterly Journal of the Royal Meteorological Society, 1-31,
doi:10.1002/qj.3765.
吉田 智

1*

S. Yoshida, S. Yokota, H. Seko, T. Sakai, T. Nagai, 2020: Observation System
Simulation Experiments of Water Vapor Profiles Observed by Raman Lidar
using LETKF System. SOLA, 16, 43-50, doi:10.2151/sola.2020-008.

吉村裕正

1*

Hideaki Ohtake,Fumichika Uno, Takashi Oozeki, Syugo Hayashi, Junshi Ito,
Akihiro Hashimoto, Hiromasa Yoshimura, and Yoshinori Yamada, 2019:
Solar Irradiance Forecasts by Mesoscale Numerical Weather Prediction
Models with Different Horizontal Resolutions. Energies, 12,
doi:10.3390/en12071374.

2*

Ohtake H., F. Uno, T. Oozeki, S. Hayashi, J. Ito, A. Hashimoto, H. Yoshimura, Y.
Yamada, 2019: Solar irradiance forecasts by mesoscale numerical weather
prediction models with different horizontal resolutions. Energies, 12, 1374,
doi:10.3390/en12071374.

3*

Kawai, H., S. Yukimoto, T. Koshiro, N. Oshima, T. Tanaka, H. Yoshimura, and R.
Nagasawa, 2019: Significant Improvement of Cloud Representation in Global
Climate Model MRI-ESM2. Geoscientific Model Development, 12, 2875-2897,
doi:10.5194/gmd-12-2875-2019.

4

Wada, A., H. Yoshimura, M. Nakagawa, 2019: Preliminary numerical experimentson the prediction of Typhoon Lionrock (2016) using the global
atmosphere-ocean coupled model. Research Activities in Atmospheric andOceanic Modelling , 49, 9-05.

5*

Yukimoto, S., H. Kawai, T. Koshiro, N. Oshima, K. Yoshida, S. Urakawa, H.
Tsujino, M. Deushi, T. Tanaka, M. Hosaka, S. Yabu, H. Yoshimura, E. Shindo,
R. Mizuta, A. Obata, Y. Adachi, M. Ishii, 2019: The Meteorological ResearchInstitute Earth System Model version 2.0, MRI-ESM2.0: Description and－ 235 －

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6.1. 論文等

basic evaluation of the physical component. Journal of the MeteorologicalSociety of Japan, 97, doi:10.2151/jmsj.2019-051.
和田章義

1*

Oyama, R., and A. Wada, 2019: The Relationship between Convective Bursts andWarm Core Intensification in a Non-hydrostatic Simulation of Typhoon
Lionrock (2016). Monthly Weather Review, 147, 1557-1579,
doi:10.1175/MWR-D-18-0457.1.

2

瀬古弘, 和田章義, 村田昭彦, 宮川知己, 竹見哲也, 福井真, 川畑拓矢, 北村祐二, 清木達也, 堀田大介, 2019: 第５回非静力学モデルに関する国際ワークショップの報告. 天気, 66, 501-506.

3

Wada, A., H. Yoshimura, M. Nakagawa, 2019: Preliminary numerical experimentson the prediction of Typhoon Lionrock (2016) using the global
atmosphere-ocean coupled model. Research Activities in Atmospheric andOceanic Modelling , 49, 9-05.

4和田章義, 2019: 台風通過時の海洋応答から台風予測研究へ. 号外海洋 －大気・海洋の渦・対流・シア流とその相互作用ー, 62, 81-86.

5*

Wada, A., H. Tsuguti, K. Okamoto, and N. Seino, 2019: Air-Sea Coupled Data
Assimilation Experiment for Typhoons Kilo, Etau and the September 2015
Kanto-Tohoku Heavy Rainfall with the Advanced Microwave ScanningRadiometer 2 Sea Surface Temperature. Journal of the MeteorologicalSociety of Japan, 97, 553-575, doi:10.2151/jmsj.2019-029.

6

Wada, A., 2019: The impacts of a cold eddy induced by Typhoon Trami (2018) on
the intensity forecast of Typhoon Kong-Rey (2018). Research Activities in
Atmospheric and Oceanic Modelling , 49, 9-07.

7

Wada, A., R. P. Gile, 2019: Roles of ocean coupling and cumulus parameterizationin predicting rainfall amounts caused by landfalling typhoons in thePhilippines. Research Activities in Atmospheric and Oceanic Modelling , 49,
9-09.

8

Wada, A., 2019: The impacts of preexisting oceanic cold eddies on the intensity
forecast of Typhoon Trami (2018) during the mature phase. Research
Activities in Atmospheric and Oceanic Modelling, 49, 9-11.

9Wada, A., H. Tomita, 2019: Comparison of J-OFURO remote-sensing based ocean
flux data with numerical simulations by a coupled atmosphere-wave-ocean
model in Typhoon Dujuan (2015) case. Research Activities in Atmosphericand Oceanic Modelling, 49, 9-13.

10* Horinouchi, T., U. Shimada, and A. Wada, 2020: Convective Bursts With Gravity
Waves in Tropical Cyclones: Case Study With the Himawari‐8 Satellite and
Idealized Numerical Study. Geophysical Research Letters, 47.
渡邉俊一

1*

Murata, A., S. I. Watanabe, H. Sasaki, H. Kawase, and M. Nosaka, 2019: The
development of a resolution-independent tropical cyclone detection scheme
for high-resolution climate model simulations. Journal of the MeteorologicalSociety of Japan, 97, 519-531, doi:10.2151/jmsj.2019-035.

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