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、平成 30 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。
青梨和正

1*

Shimada, U., H. Owada, M. Yamaguchi, T. Iriguchi, M. Sawada, K. Aonashi, M.
DeMaria, and K. Musgrave, 2018: Further Improvements to the Statistical
Hurricane Intensity Prediction Scheme Using Tropical Cyclone Rainfall and
Structural Features . Weather and Forecasting, 33, 1587-1603,
doi:10.1175/WAF-D-18-0021.1.

足立アホロ

1*

Kawabata, T., H.-S. Bauer, T. Schwitalla, V. Wulfmeyer, and A. Adachi, 2018:
Evaluation of forward operators for polarimetric radars aiming for data
assimilation. Journal of the Meteorological Society of Japan, 96A, 157-174,
doi:10.2151/jmsj.2018-017.

2*

Kawabata, T., T. Schwitalla, A. Adachi, H.-S. Bauer, V. Wulfmeyer, N. Nagumo,
and H. Yamauchi, 2018: Observational operators for dual polarimetric radars
in variational data assimilation systems (PolRad VAR v1.0). Geoscientific
Model Development, 11, 2493-2501, doi:10.5194/gmd-11-2493-2018.

3*

Nagumo, N., A. Adachi, and H. Yamauchi, 2019: Geometrical properties ofhydrometeors during the refreezing process and their effects on dual-polarizedradar signals. Monthly Weather Review, 147, doi:10.1175/MWR-D-18-0278.1.
(in press)

1*

Satou, Y., K. Sueki, K. Sasa, H. Yoshikawa, S. Nakama, H. Minowa, Y. Abe, I.
Nakai, T. Ono, K. Adachi, and Y. Igarashi, 2018: Analysis of two forms ofradioactive particles emitted during the early stages of the Fukushima
Dai-ichi Nuclear Power Station accident. Geochemical Journal, 52（2）,137-143, doi:10.2343/geochemj.2.0514.

2*

Kajino, M., T. T. Sekiyama, A. Mathieu, I. Korsakissok, R. Périllat, D. Quélo, A.
Quérel, O. Saunier, K. Adachi, S. Girard, T. Maki, K. Yumimoto, D. Didier, O.
Masson, Y. Igarashi,, 2018: Lessons learned from atmospheric modelingstudies after the Fukushima nuclear accident: Ensemble simulations, data
assimilation, elemental process modeling, and inverse modeling, . Geochemical
Journal, 52（2）, 85-101, doi:10.2343/geochemj.2.0503.

3*

Freney, E., K. Sellegri, M. Chrit, K. Adachi, J. Brito, A. Waked, A. Borbon, A.
Colomb, R. Dupuy, J.M. Pichon, L. Bouvier, C. Delon, C. Jambert, P. Durand,
T. Bourianne, C. Gaimoz, S. Triquet, A. Féron, M. Beekmann, F. Dulac, and K.
Sartelet, 2018: Aerosol composition and the contribution of SOA formation
over Mediterranean forests . Atmospheric Chemistry and Physics, 18（10）,7041-7056, doi:10.5194/acp-18-7041-2018.

4*

Ohata, S., A. Yoshida, N. Moteki, K. Adachi, Y. Takahashi, M. Kurisu, and M.
Koike, 2018: Abundance of light‐absorbing anthropogenic iron oxide aerosols

足立光司- 459 -

6. 成果発表

6.1. 論文等

in the urban atmosphere and their emission sources. Journal of GeophysicalResearch Atmosphere, 123, 8115-8134, doi:10.1029/2018JD028363.

足立 透

荒木健太郎

5*

Deng, Y., S. Kagami, S. Ogawa, K. Kawana, T. Nakayama, R. Kubodera, K. Adachi,
T. Hussein, Y. Miyazaki, and M. Mochida, 2018: Hygroscopicity of organic
aerosols and their contributions to CCN concentrations over a mid‐latitude
forest in Japan. Journal of Geophysical Research Atmosphere, 123（17）,9703-9723, doi:10.1029/2017JD027292.

6*

Yoshida, A., S. Ohata, N. Moteki, K. Adachi, T. Mori, M. Koike, and A. Takami,
2018: Abundance and emission flux of the anthropogenic iron oxide aerosols
from the East Asian continental outflow. Journal of Geophysical Research
Atmosphere, 122（19）, 11194-11209, doi:10.1029/2018JD028665.

7*

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., 2018: 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.

8*

Ishimoto, H., R. Kudo, and K. Adachi, 2019: A shape model of internally mixed sootparticles derived from artificial surface tension. Atmospheric Measurement
Techniques, 12, 107-118, doi:10.5194/amt-12-107-2019.

9*Kajino, M., Sekiyama, T. T., Igarashi, Y., Katata, G., Sawada, M., Adachi, K., et al.,
2019: Deposition and dispersion of radio－cesium released due to the
Fukushima nuclear accident: Sensitivity to meteorological models andphysical modules. Journal of Geophysical Research, 124, 1823-1845.

10*

Tobo, Y., K. Adachi, P. J. DeMott, T. C. J. Hill, D. S. Hamilton, N. M. Mahowald, N.
Nagatsuka, S. Ohata, J. Uetake, Y. Kondo, and M. Koike, 2019: Glaciallysourced dust as a potentially significant source of ice nucleating particles.
Nature Geoscience. (in press)

11

Kurisu, M., K. Adachi, K. Sakata, and Y. Takahashi, 2019: Stable isotope ratios of
combustion iron produced by evaporation in a steel plant. ACS Earth andSpace Chemistry. (in press)

12*

Igarashi, Y., K. Kita, T. Maki, T. Kinase, N. Hayashi, K. Hosaka, K. Adachi, M.
Kajino, M. Ishizuka, T. T. Sekiyama, Y. Zaizen, C. Takenaka, K. Ninomiya, H.
Okochi and A. Sorimachi , 2019: Fungal spore involvement in theresuspension of radiocaesium in summer. Scientific Reports, 9:1954,
doi:10.1038/s41598-018-37698-x.

1*

F. J. Perez-Invernon, A. Luque, F. J. Gordillo-Vazquez, M. Sato, T. Ushio, T.
Adachi, and A. B. Chen, 2018: Spectroscopic diagnostic of halos and elvesdetected from space-based photometers. Journal of Geophysical Research
Atmosphere, doi:10.1029/2018JD029053.

2*

Yoshida, S., E. Yoshikawa, T. Adachi, K. Kusunoki, S. Hayashi, and H. Inoue, 2019:
Three dimensional radio images of winter lightning in Japan andcharacteristics of associated charge structure. IEEJ Transactions on Electricaland Electronic Engineering, 14, 175-184, doi:10.1002/tee.22795.

1

荒木健太郎, 2018: 世界でいちばん素敵な雲の教室. 世界でいちばん素敵な雲の教室,- 460 -

6. 成果発表

6.1. 論文等

三才ブックス, 160pp, ISBN: 978-4-86673-033-2.
2

斉藤和雄，國井勝，荒木健太郎, 2018: 2011 年 8 月 26 日首都圏豪雨の雲解像アンサン
ブル実験. 気象研究ノート, 236, 266-282.

3

中井専人, 吉田聡, 荒木健太郎, 出世ゆかり, 岩波越, 鈴木真一, 橋本明弘, 本吉弘岐,
2018: 降雪状況の面的解析. 平成 29 年度科学研究費補助金（特別研究促進費）「2017 年 3 月 27 日に栃木県那須町で発生した雪崩災害に関する調査研究」研究
成果報告書, 45-46.
4

荒木健太郎, 2018: 那須における表層雪崩発生に関わる低気圧性大雪の特性. 平成 29

年度科学研究費補助金（特別研究促進費）「2017 年 3 月 27 日に栃木県那須町で発生した雪崩災害に関する調査研究」研究成果報告書, 52-57.

安藤 忍

5*

Saito, K., M. Kunii, and K. Araki, 2018: Cloud Resolving Simulation of a Local
Heavy Rainfall Event on 26 August 2011 Observed in TOMACS. Journal of
the Meteorological Society of Japan, 96A, 175-199.

6

Araki, K., 2018: High-resolution numerical simulation of wintertime orographic
precipitation: representation of snowfall characteristics. CAS/JSC WGNE
Research Activities in Atmospheric and Oceanic Modelling, 48, 403-404.

7

荒木健太郎, 2018: せきらんうんのいっしょう. せきらんうんのいっしょう, ジャムハ
ウス, 24pp, ISBN: 4906768458.

8

山下克也, 當房豊, 荒木健太郎, 佐藤陽祐, 三隅良平, 前田麻人, 岩田拓己, 森樹大, 岩
本洋子, 村田浩太郎, 折笠成宏, 田尻拓也, 齋藤泉, 端野典平, 島伸一郎, 武田和弥, 郭朋君, 川合秀明, 山内晃, 藤原智貴, 堀田陽香, 熊谷幸基, 猪又淳之助, 大芦
宏彰, 高橋麗, 酒井健人, 2018: 「2017 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, 65, 521-528.

9*

荒木健太郎, 佐藤陽祐, 2018: エアロゾル・雲・降水相互作用の数値シミュレーション.
エアロゾル研究, 33, 152-161, doi:10.11203/jar.33.152.

10

荒木健太郎, 2018: 冬の嵐をもたらす雲システム ―日本海寒帯気団収束帯（JPCZ）による大雪―. 世界気象カレンダー2019 年版.

11

荒木健太郎, 2018: 昆虫が切り拓く局地豪雨予測. 昆虫大学シラバス, 68-69.

12

荒木健太郎, 2018: ろっかのきせつ. ろっかのきせつ, ジャムハウス, 32pp, ISBN:
490676844X.

13

荒木健太郎, 2018: 雪結晶を撮影しよう！「#関東雪結晶 プロジェクト」. 理科教育ニュース, 1062, 2-3.

14*

Ichikawa, R., T. Nagasaki, O. Tajima, H. Takiguchi, K. Araki, and T. Tajiri, 2019:
Half-year Comparison of Precipitable Water Vapor Retrieved with Novel
Ground-based Microwave Radiometer and GPS Receiver at Tsukuba andNumerical Weather Analysis Data. Proceedings of the 2019 International
Technical Meeting of The Institute of Navigation, 660-664,

1

安藤忍, 2018: ALOS-2/PALSAR-2 データを用いた西之島の地表変化. 火山噴火予知連
絡会会報, 129, 202-208.

2

安藤忍, 2018: 陸域観測技術衛星「だいち 2 号」（ALOS-2/PALSAR-2）を用いた合成
開口レーダ（SAR）干渉解析. 平成 28 年（2016 年）熊本地震調査報告, 135, 35-45.

3安藤忍, 2018: ALOS-2/PALSAR-2 データを用いた西之島の地表変化. 火山噴火予知連
絡会会報, 130, 179-186.

4安藤忍, 2019: ALOS-2/PALSAR-2 データを用いた西之島の地表変化. 火山噴火予知連
絡会会報, 131, 220-229.
- 461 -

6. 成果発表

石井憲介

石井雅男

石井正好

石橋俊之

6.1. 論文等

1

佐藤英一, 新堀敏基, 福井敬一, 石井憲介, 徳本哲男, 2018: 気象レーダーで観測された2018 年 1 月 23 日草津白根山噴火に伴う噴煙エコー. 火山噴火予知連絡会会報,129, 78-82.

2

佐藤英一, 福井敬一, 新堀敏基, 石井憲介, 徳本哲男, 2018: 気象レーダーで観測した2018 年 3 月から 5 月にかけての霧島山（新燃岳）噴火に伴う噴煙エコー. 火山噴火予知連絡会会報, 130, 292-298.

1*

Sasano, D., Y. Takatani, N. Kosugi, T. Nakano, T. Midorikawa, and M. Ishii, 2018:
Decline and bidecadal oscillation of dissolved oxygen in the Oyashio region andtheir propagation to the western North Pacific. . Global Biogeochemical Cycles,
32, 909-931.

2*

Kudo K., K. Yamada, S. Toyoda, N. Yoshida, D. Sasano, N. Kosugi, M. Ishii, H.
Yoshikawa, A. Murata, H. Uchida, and S. Nishino, 2018: Spatial distributionof dissolved methane and its source in the western Arctic Ocean. Journal of
Oceanography, 74, 305-317, doi:10.1007/s10872-017-0460-y.

3*Oka, E., K. Yamada, D. Sasano, K. Enyo, T. Nakano, and M. Ishii, 2019: Remotely
forced decadal physical and biogeochemical variability of North Pacific
Subtropical Mode Water over the last 40 years. Geophysical Research Letters,
46, doi:10.1029/2018GL081330.

4*

Gruber, N., D. Clement, B. R. Carter, R. A. Feely, S. van Heuven, M. Hoppema, M.
Ishii, R. M. Key, A. Kozyr, S. K. Lauvset, C. Lo Monaco, J. T. Mathis, A.
Murata, A. Olsen, F. F. Perez, C. L. Sabine, T. Tanhua, and R. Wanninkhof ,2019: The oceanic sink for anthropogenic CO2 from 1994 to 2007. Science. (inpress)

1

石井 正好, 2018: 長期気候変動の再現と予測 − 歴史的観測データと地球システムモ
デル −. 日本原子力学会誌 アトモス, 60, 19-22.

2*

WCRP Global Sea Level Budget Group, 2018: Global Sea Level Budget
1993–Present . Earth System Science Data, 10, 1551–1590,
doi:10.5194/essd-10-1551-2018.

3*

Smith, D. M., A. A. Scaife, E. Hawkins, R. Bilbao, G. J. Boer, M. Caian, L.-P. Caron,
G. Danabasoglu, T. Delworth, F. J. Doblas-Reyes, R. Doescher, N. J. Dunstone,
R. Eade, L. Hermanson, M. Ishii, V. Kharin, M. Kimoto, T. Koenigk, Y.
Kushnir, D. Matei, G., 2018: Predicted chance that global warming will
temporarily exceed 1.5oC. Geophysical Research Letters, 45, 1,895-11,903,
doi:10.1029/2018GL079362.

4*

Fujita, M., R. Mizuta, M. Ishii, H. Endo, T. Sato, Y. Okada, S. Kawazoe, S.
Sugimoto, K. Ishihara, and S. Watanabe, 2019: Precipitation changes in a
climate with 2-K surface warming from large ensemble simulations using
60-km global and 20-km regional atmospheric models. Geophysical Research
Letters, 46, 435-442, doi:10.1029/2018GL079885.

1*

Okamoto, K., T. Ishibashi, S. Ishii, P. Baron, K. Gamo, T. Y. Tanaka, K. Yamashita,
and T. Kubota, 2018: Feasibility study for future space-borne coherent Doppler
wind lidar. part 3: Impact assessment using sensitivity observing systemsimulation experiments.. Journal of the Meteorological Society of Japan, 96,
179-199, doi.org/10.2151/jmsj.2018-024.

2*

Ishibashi, T., 2018: Adjoint-based observation impact estimation with directverification using forward calculation. Monthly Weather Review, 146,

- 462 -

6. 成果発表

6.1. 論文等

2837-2858, doi:10.1175/MWR-D-18-0037.1.
石元裕史

猪上華子

今田由紀子

入口武史

1*

Hara, Y., T. Nishizawa, N. Sugimoto, K. Osada, K. Yumimoto, I. Uno, R. Kudo and
H. Ishimoto, 2018: Retrieval of Aerosol Components Using Multi-Wavelength
Mie-Raman Lidar and Comparison with Ground Aerosol Sampling. Remote
Sensing, 10, 937, doi:10.3390/rs10060937.

2

林勇太、石元裕史、稲沢智之, 2018: 火山灰. 気象研究ノート, 238, 99-113.

3*

Letu, H., T. M. Nagao, T. Y. Nakajima J. Riedi, H. Ishimoto, A. J. Baran, H. Shang,
M. Sekiguchi, and M. Kikuchi, 2018: Ice cloud properties from
Himawari-8/AHI next-generation geostationary satellite: Capability of the
AHI to monitor the DC cloud generation process. IEEE Transactions:Geoscience and Remote Sensing, 1-11, doi:10.1109/TGRS.2018.2882803.

4*

Ishimoto, H., R. Kudo, and K. Adachi, 2019: A shape model of internally mixed sootparticles derived from artificial surface tension. Atmospheric Measurement
Techniques, 12, 107-118, doi:10.5194/amt-12-107-2019.

5*

Sato, K., H. Okamoto, H. Ishimoto, 2019: Modeling the depolarization of
space-borne lidar signals. Optics Express, 27, A117-A132,
doi:10.1364/OE.27.00A117.

1

鈴木 博人、藤原 忠誠、櫃間 智紀、楠 研一、猪上 華子, 2018: ドップラーレーダーを用いた突風に対する列車運転規制方法の開発と導入. JREA, 61, 42281-42284.

2*

Yoshida, S., E. Yoshikawa, T. Adachi, K. Kusunoki, S. Hayashi, and H. Inoue, 2019:
Three dimensional radio images of winter lightning in Japan andcharacteristics of associated charge structure. IEEJ Transactions on Electricaland Electronic Engineering, 14, 175-184, doi:10.1002/tee.22795.

1*

Scaife, A. A. et al., 2018: Tropical rainfall predictions from multiple seasonal
forecast systems. International Journal of Climatology, doi:10.1002/joc.5855.

2*

Iizumi, T., H. Shiogama, Y. Imada, N. Hanasaki, H. Takikawa, and M. Nishimori,2018: Crop production losses associated with anthropogenic climate change for
1981–2010 compared with preindustrial levels.. International Journal of
Climatology, 38, 5405-5417, doi:10.1002/joc.5818.

3*

Tsuguti, H., N. Seino, H. Kawase, Y. Imada, T. Nakaegawa, and I. Takayabu, 2019:
Meteorological overview and mesoscale characteristics of the Heavy Rain
Event of July 2018 in Japan. Landslides, 16, 363 - 371.

4

C. Takahashi, M.Arai, M. Watanabe, H. Shiogama, Y. Imada, Y. Kosaka, M. Mori,and Y. Kamae, 2019: The effects of natural variability and climate change on
the record low sunshine over Japan during August 2017. Bull. Amer. Meteor.
Soc., 100, S67-S71.

1*

Yamaguchi, M., H. Owada, U. Shimada, M. Sawada, T. Iriguchi, K. D. Musgrave,and M. DeMaria, 2018: Tropical Cyclone Intensity Prediction in the Western
North Pacific Basin using SHIPS and JMA/GSM.. SOLA, 14, 138-143,
doi:10.2151/sola.2018-024.

2*

Shimada, U., H. Owada, M. Yamaguchi, T. Iriguchi, M. Sawada, K. Aonashi, M.
DeMaria, and K. Musgrave, 2018: Further Improvements to the Statistical
Hurricane Intensity Prediction Scheme Using Tropical Cyclone Rainfall and
Structural Features . Weather and Forecasting, 33, 1587-1603,
doi:10.1175/WAF-D-18-0021.1.

3

山口宗彦, 嶋田宇大, 沢田雅洋, 入口武史, 大和田浩美, 2019: 台風予報・解析技術高度- 463 -

6. 成果発表

6.1. 論文等

化プロジェクトチームによる 5 日先台風強度予報ガイダンスの開発. 気象研究所
技術報告, 82, 60, doi:10.11483/mritechrepo.82.
碓氷典久

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,
doi:10.1175/MWR-D-18-0198.1. (in press)

浦川昇吾

1*

Tsujino, H., S. Urakawa, H. Nakano, Y. Harada, C. Kobayashi, S. Kobayashi, 他 25
名, 2018: JRA-55 based surface dataset for driving ocean–sea-ice models(JRA55-do). Ocean Modelling, 130, 79-139, doi:10.1016/j.ocemod.2018.07.002.

2*

Nakano, H., H. Tsujino, K. Sakamoto, S. Urakawa, T. Toyoda, and G. Yamanaka,
2018: Identification of the fronts from the Kuroshio Extension to the Subarctic
Current using absolute dynamic topographies in satellite altimetry products.
Journal of Oceanography, 74, 393-420, doi:10.1007/s10872-018-0470-4.

3*

Suzuki, T., D. Yamazaki, H. Tsujino, Y. Komuro, H. Nakano, S. Urakawa, 2018: A
dataset of continental river discharge based on JRA-55 for use in a global
ocean circulation model. Journal of Oceanography, 74, 421-429,
doi:10.1007/s10872-017-0458-5.

4*

坂本圭, 辻野博之, 中野英之, 浦川昇吾, 山中吾郎, 2018: Git と Redmine を用いた気象研究所共用海洋モデル「MRI.COM」の開発管理. 海の研究, 27, 175-188.

5

豊田隆寛, 岩本勉之, 浦川昇吾, 辻野博之, 中野英之, 坂本圭, 山中吾郎, 小室芳樹, 西
野茂人, 浮田甚郎, 2019: 衛星観測の薄氷データを用いた海洋・海氷シミュレーシ
ョンの改善. 月刊海洋, 51, 121-127.

6*

浦川昇吾, 2019: 2018 年度日本海洋学会岡田賞受賞記念論文：海洋大循環のエネルギー
収支に関する数値モデリング研究. 海の研究, 28 (2), 19-40,
doi:10.5928/kaiyou.28.2_19.

7*

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,
doi:10.1175/MWR-D-18-0198.1. (in press)

1*

Endo, H., A. Kitoh, and H. Ueda, 2018: A unique feature of the Asian summer
monsoon response to global warming: The role of different land-sea thermal
contrast change between the lower and upper troposphere. SOLA, 14, 57-63,
doi:10.2151/sola.2018-010.

2*

Kawai, H., T. Koshiro, H. Endo, and O. Arakawa, 2018: Changes in Marine Fog
over the North Pacific under Different Climates in CMIP5 Multi‐Model
Simulations. Journal of Geophysical Research Atmosphere, 123, 10911-10924,
doi:10.1029/2018JD028899.

3*

Fujita, M., R. Mizuta, M. Ishii, H. Endo, T. Sato, Y. Okada, S. Kawazoe, S.
Sugimoto, K. Ishihara, and S. Watanabe, 2019: Precipitation changes in a
climate with 2-K surface warming from large ensemble simulations using
60-km global and 20-km regional atmospheric models. Geophysical Research
Letters, 46, 435-442, doi:10.1029/2018GL079885.

4*

Kitoh, A. and H. Endo, 2019: Future changes in precipitation extremes associatedwith tropical cyclones projected by large-ensemble simulations. Journal of the

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6.1. 論文等

Meteorological Society of Japan, 97, 141-152, doi:10.2151/jmsj.2019-007.
大河原望

1

Foumtoulakis, I., C.S.Zerofos, A.F. Basis, J. Kapsomenakis, M.E. Koukouli, N.
Ohkawara, V. Fioletov, H.D. Backer, K. Lakkala, T. Karppinen, and A.R.
Webb, 2018: Twenty-five years of spectral UV-B measurements over Canada,
Europe and Japan: Trends and effects from changes in ozone, aerosols, clouds,
and surface reflectivity. Comptes Rendus Geoscience, 350, 393-402,
doi:10.1016/j.crte.2018.07.011.

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., 2018: 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.

大塚道子

1*

Otsuka, M., H. Seko, K. Shimoji, and K. Yamashita, 2018: Characteristics ofHimawari-8 Rapid Scan Atmospheric Motion Vectors Utilized in Mesoscale
Data Assimilation . Journal of the Meteorological Society of Japan, 96B,
111-131, doi:10.2151/jmsj.2018-034.

2

Otsuka, M., J. Matsumoto, and H. Seko, 2019: Geostationary Satellite Data
Assimilation in Mesoscale Forecast Sytems: A Review. Geographical Reportsof Tokyo Metropolitan University, 54, 1-10.

岡田 純

1*

岡田純, 風早竜之介, 松本恵子, 三輪学央, 入山宙, 2019: 第 10 回火山都市国際会議参加報告. 火山, 64 巻第 1 号. (in press)

岡本幸三

1*

Okamoto, K., T. Ishibashi, S. Ishii, P. Baron, K. Gamo, T. Y. Tanaka, K. Yamashita,
and T. Kubota, 2018: Feasibility study for future space-borne coherent Doppler
wind lidar. part 3: Impact assessment using sensitivity observing systemsimulation experiments.. Journal of the Meteorological Society of Japan, 96,
179-199, doi.org/10.2151/jmsj.2018-024.

2

岡本幸三, 別所康太郎, 吉崎徳人, 村田英彦, 2018: 静止気象衛星ひまわり 8 号・9 号とその利用. 気象研究ノート, 238, 日本気象学会, 187pp, ISBN: .

3

岡本幸三, 2018: データ同化. 気象研究ノート, 238, 169-183.

4*

Sawada, Y., K. Okamoto, M. Kunii, and T. Miyoshi, 2019: Assimilating every‐10‐
minute Himawari‐8 infrared radiances to improve convective predictability.
Journal of Geophysical Research Atmosphere, doi:10.1029/2018JD029643. (inpress)

5*

Okamoto, K., Y. Sawada and M. Kunii, 2019: Comparison of assimilating all‐sky
and clear‐sky infrared radiances from Himawari‐8 in a mesoscale system..
Quarterly Journal of the Royal Meteorological Society, 1-22,
doi:10.2151/jmsj.2018-024.

1*

Ogiso, M., M. Hoshiba, A. Shito, and S. Matsumoto, 2018: Numerical Shake
Prediction for Earthquake Early Warning Incorporating Heterogeneous
Attenuation Structure: The Case of the 2016 Kumamoto Earthquake. Bulletinof the Seismological Society of America, 108, 3457-3468,
doi:10.1785/0120180063.

2*

Ogiso, M., 2019: A method for mapping intrinsic attenuation factors and scattering
coefficients of S waves in 3-D space and its application in southwestern Japan.

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6. 成果発表

6.1. 論文等

Geophysical Journal International, 216, 948-957, doi:10.1093/gji/ggy468.
小田真祐子

1*

Oda, M. and H. Kanehisa, 2019: A simple model of the resonant interaction between
vortex Rossby and gravity waves. Journal of the Meteorological Society ofJapan, 97, 123-139, doi:10.2151/jmsj.2019-006.

鬼澤真也

1*

S. Onizawa, 2019: Apparent calibration shift of the Scintrex CG-5 gravimeter
caused by reading-dependent scale factor and instrumental drift. Journal of
Geodesy, doi:10.1007/s00190-019-01247-9. (in press)

小山 亮

1*

Oyama, R., M. Sawada, and K. Shimoji, 2018: Diagnosis of Tropical Cyclone
Intensity and Structure Using Upper Tropospheric Atmospheric Motion
Vectors. Journal of the Meteorological Society of Japan, 96B,
doi:10.2151/jmsj.2017-024.

2*

Wada, A., and R. Oyama, 2018: Relation of convective bursts to changes in theintensity of Typhoon Lionrock (2016) during the decay phase simulated by anatmosphere-wave-ocean coupled model. Journal of the Meteorological Societyof Japan, 96, 489-509, doi:10.2151/jmsj.2018-052.

1

山下克也, 當房豊, 荒木健太郎, 佐藤陽祐, 三隅良平, 前田麻人, 岩田拓己, 森樹大, 岩
本洋子, 村田浩太郎, 折笠成宏, 田尻拓也, 齋藤泉, 端野典平, 島伸一郎, 武田和弥, 郭朋君, 川合秀明, 山内晃, 藤原智貴, 堀田陽香, 熊谷幸基, 猪又淳之助, 大芦
宏彰, 高橋麗, 酒井健人, 2018: 「2017 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, 65, 521-528.

2

橋本明弘, 本吉弘岐, 三隅良平, 折笠成宏, 2018: 数値気象モデルによる降雪粒子予測の高度化. 北海道の雪氷, 37, 63-66.

1*Mathieu, A., M. Kajino, I. Korsakissok, R. Périllat, D. Quélo, A. Quérel, O. Saunier,
T. T. Sekiyama, Y. Igarashi, D. Didier, 2018: Fukushima Daiichi-derived
radionuclides in the atmosphere, transport and deposition in Japan: A review.
Applied Geochemistry, 91, 122-139, doi:10.1016/j.apgeochem.2018.01.002.

2*

Kajino, M., T. T. Sekiyama, A. Mathieu, I. Korsakissok, R. Périllat, D. Quélo, A.
Quérel, O. Saunier, K. Adachi, S. Girard, T. Maki, K. Yumimoto, D. Didier, O.
Masson, Y. Igarashi,, 2018: Lessons learned from atmospheric modelingstudies after the Fukushima nuclear accident: Ensemble simulations, data
assimilation, elemental process modeling, and inverse modeling, . Geochemical
Journal, 52（2）, 85-101, doi:10.2343/geochemj.2.0503.

3*

S. Hayashida, M. Kajino, M. Deushi, T. T. Sekiyama, X. Liu, 2018: Seasonality of
the lower tropospheric ozone over China observed by the Ozone Monitoring
Instrument. Atmospheric Environment, 184, 244-253,
doi:10.1016/j.atmosenv.2018.04.014.

4*

Ching, J. M. Kajino,, 2018: Aerosol mixing state matters for particles deposition inhuman respiratory system,. Scientific Reports, 8, 8864,
doi:10.1038/s41598-018-27156-z.

5*

和田龍一, 定永靖宗, 加藤俊吾, 勝見直也, 大河内博, 岩本洋子, 三浦和彦, 小林拓, 鴨川仁, 松本淳, 米村正一郎, 松見豊, 梶野瑞王, 畠山史郎, , 2018: 山岳地域における NOx 酸化物質（NOz）計測手法の開発と実大気への応用. 分析化学, 67（6）,333-340, doi:10.2116/bunsekikagaku.67.333.

6*

Kitayama, K., Y. Morino, M. Takigawa, T. Nakajima, H. Hayami, H. Nagai, H.
Terada, K. Saito, T. Shimbori, M. Kajino, T. T. Sekiyama, D. Didier, A.
Mathieu, D. Quelo, T. Ohara, H. Tsuruta, Y. Oura, M. Ebihara, Y. Moriguchi,

折笠成宏

梶野瑞王

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and T. Shibata, 2018: Atmospheric modeling of 137Cs plumes from the
Fukushima Daiichi Nuclear Power Plant - Evaluation of the modelintercomparison data of the Science Council of Japan. Journal of GeophysicalResearch Atmosphere, 123, 7754-7770, doi:10.1029/2017JD028230.
7*

Sahu LK, Tripathi N, Sheel V, Kajino M, Deushi M, Yadav R, Nedelec P, 2018:
Impact of the tropical cyclone Nilam on the vertical distribution of carbon
monoxide over Chennai on the Indian peninsula. Quarterly Journal of theRoyal Meteorological Society, 144, 1091-1105, doi:10.1002/qj.3276.

8*

Y. Inomata、M. Aoyama、T. Tsubono、D. Tsumune、Y. Kumamoto、H. Nagai、T.
Yamagata、M. Kajino、Y. T. Tanaka、T. T. Sekiyama、E. Oka、M. Yamada,
2018: Estimate of Fukushima-derived radiocaesium in the North Pacific
Ocean in summer 2012. Journal of Radioanalytical and Nuclear Chemistry,
318（3）, 1587-1596.

9*

Inatsu, M., H. Suzuki, and M. Kajino, 2019: Relative Risk Assessment for
Hypothetical Radioactivity Emission at a Snow Climate Site. Journal of the
Meteorological Society of Japan, 97(1), 175-190.

10*

Igarashi, Y., K. Kita, T. Maki, T. Kinase, N. Hayashi, K. Hosaka, K. Adachi, M.
Kajino, M. Ishizuka, T. T. Sekiyama, Y. Zaizen, C. Takenaka, K. Ninomiya, H.
Okochi and A. Sorimachi , 2019: Fungal spore involvement in theresuspension of radiocaesium in summer. Scientific Reports, 9:1954,
doi:10.1038/s41598-018-37698-x.

11*

Keiya Yumimoto, Mizuo Kajino, Taichu Y. Tanaka & Itsushi Uno, 2019: Dust
Vortex in the Taklimakan Desert by Himawari-8 High Frequency and
Resolution Observation. Scientific Reports, 9,1209.

12*

梶野瑞王, 2018: エアロゾル有害物質の肺沈着における粒径分布、吸湿性、ヒト条件の影響, 大気化学研究, 39, Article No. 039A01, 11 pp.

13*

Sato, Y., M. Takigawa, T. Sekiyama, M. Kajino, H. Terada, H. Nagai, H. Kondo, J.
Uchida, D. Goto, D. Quélo, A. Mathieu, I. Korsakissok, A. Quérel, S. Fang, Y.
Morino, P. von Schoenberg, H. Grahn, N. Brännström, S. Hirao, H. Tsuruta,
H. Yamazawa, T. Nakajima, 2018: Model intercomparison of atmospheric
137Cs from the Fukushima Daiichi Nuclear Power Plant accident:
Simulations based on identical input data, J. Geophys. Res., 123,
11,748-11,765, doi:10.1029/2018JD029144.

14*

Kajino, M., T. T. Sekiyama, Y. Igarashi, G. Katata, M. Sawada, K. Adachi, Y.
Zaizen, H. Tsuruta, T. Nakajima, 2019. Deposition and dispersion ofradio-cesium released due to the Fukushima nuclear accident: Sensitivity tometeorological models and physical modules, J. Geophys. Res., 124(3),1823-1845, doi:10.1029/2018JD028998.

15*

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, A. Takami, A. Shimizu, S. Hatakeyama, Y. Sadanaga, H.
Irie, 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 consistent predictions of thechemical, physical, and optical properties of aerosols, J. Meteor. Soc. Japan,
97(2), doi:10.2151/jmsj.2019-020, 2019, published online.

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16*

Danielache, S. O., Yoshikawa, C., Kajino, M., Itou, S., Kakeya, W., Yoshida, N.,
Igarashi, Y., 2018: Radioactive 35S emitted from the Fukushima Nuclear
Power Plant and its re-suspension from the contaminated area, Geochemical
Journal., 53. (published online)

17

Kajino, M., 2018: Chapter 6 Model simulation of atmospheric aerosols, inTrans-Boundary Pollution in North-East Asia, Eds. K. Hayakawa, S. Nagao,
Y. Inomata, M. Inoue, and A. Matsuki, NOVA Science Publishers,
ISBN:978-1-53614-742-2, 147-166.

18

梶野瑞王, 2018: 大気エアロゾルの環境動態シミュレーション, 安全工学, 57(6),433-441.

19

稲津將, 越石健太, 梶野瑞王, 2019: 新燃岳の噴火における火山灰の拡散沈着シミュレーション, 北海道大学地球物理学研究報告, in press.

1*

Tsuji, S., K. Yamaoka, R. Ikuta, T. Kunitomo, T. Watanabe, Y. Yoshida, and A.
Katsumata, 2018: Secular and coseismic changes in S-wave velocity detectedusing ACROSS in the Tokai region. Earth, Planets and Space, 70, 146,
doi:10.1186/s40623-018-0917-2.

2*

Nakata, K., Y. Hayashi, H. Tsushima, K. Fujita, Y. Yoshida, and A. Katsumata ,2019: Performance of uniform and heterogeneous slip distributions for themodeling of the November 2016 off Fukushima earthquake and tsunami,
Japan. Earth, Planets and Space, 71, 30, doi:10.1186/s40623-019-1010-1.

3*

Nakata K., A. Kobayashi, A. Katsumata, F. Hirose, T. Nishimiya, K. Kimura, H.
Tsushima, K. Maeda, H. Baba, N. Hanamura, C. Yamada, and M. Kanezashi,
2019: Double seismic zone and seismicity in the mantle wedge beneath the
Ogasawara Islands identified by an ocean bottom seismometer observation.
Earth, Planets and Space, 71, 29, doi:10.1186/s40623-019-1012-z.

加藤輝之

1*

Kato, T., 2018: Representative height of the low-level water vapor field for
examining the initiation of moist convection leading to heavy rainfall in East
Asia. Journal of the Meteorological Society of Japan, 96, 69-83.

釜堀弘隆

1*

Kamahori, H., and O. Arakawa, 2018: Tropical Cyclone Induced Precipitation overJapan Using Observational Data. SOLA, 14, 165-169,
doi:10.2151/sola.2018-029.

川合秀明

1

山下克也, 當房豊, 荒木健太郎, 佐藤陽祐, 三隅良平, 前田麻人, 岩田拓己, 森樹大, 岩
本洋子, 村田浩太郎, 折笠成宏, 田尻拓也, 齋藤泉, 端野典平, 島伸一郎, 武田和弥, 郭朋君, 川合秀明, 山内晃, 藤原智貴, 堀田陽香, 熊谷幸基, 猪又淳之助, 大芦
宏彰, 高橋麗, 酒井健人, 2018: 「2017 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, 65, 521-528.

2*

Kawai, H., T. Koshiro, H. Endo, and O. Arakawa, 2018: Changes in Marine Fog
over the North Pacific under Different Climates in CMIP5 Multi‐Model
Simulations. Journal of Geophysical Research Atmosphere, 123, 10911-10924,
doi:10.1029/2018JD028899.

川口亮平

1*

Kondo, G., H. Aoyama, T. Nishimura, M. Ripepe, G. Lacanna, R. Genco, R.
Kawaguchi, T. Yamada, T. Miwa, and E. Fujita, 2019: Gas flux cyclic regime at
an open vent magmatic column inferred from seismic and acoustic records.
Scientific Reports. (in press)

川瀬宏明

1*

Kawase, H., T. Sasai, T. Yamazaki, R. Ito, K. Dairaku, S. Sugimoto, H. Sasaki, A.
Murata, M. Nosaka, 2018: Characteristics of synoptic conditions for heavy

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snowfall in western to northeastern Japan analyzed by the 5-km regional
climate ensemble experiments. Journal of the Meteorological Society of Japan,
96, 161-178, doi:10.2151/jmsj.2018-022.

川畑拓矢

2*

Sugimoto, S., R. Ito, K. Dairaku, H. Kawase, H. Sasaki, S. Watanabe, Y. Okada, S.
Kawazoe, T. Yamazaki, T. Sasai, 2018: Impacts of spatial resolution in
dynamical downscaling simulation on the consecutive dry days and nearsurface temperature over the central mountains in Japan. SOLA, 14, 46-51,
doi:10.2151/sola.2018-008.

3*

星野剛，山田朋人，稲津將，佐藤友徳，川瀬宏明，杉本志織, 2018: 大量アンサンブル
気候予測データを用いた大雨の時空間特性とその将来変化の分析. 土木学会論文集.

4

丸谷靖幸, 原田守啓, 伊東瑠衣, 川瀬宏明, 大楽浩司, 佐々木秀孝, 2018: 気候変動影響評価に向けた降雨分布の空間解像度が流出解析に与える影響に関する検討. 土木学会論文集 G（環境）, 74, 147-156.

5

丸谷靖幸, 原田守啓, 伊東瑠衣, 川瀬宏明, 大楽浩司, 佐々木秀孝, 2018: 気候変動影響評価に向けた気候モデルおよび影響評価モデルの不確実性の関係性の評価. 土木学会論文集 B1(水工学), 74, 5.

6

原田守啓, 丸谷靖幸, 伊東瑠衣, 石崎紀子, 川瀬宏明, 大楽浩司, 佐々木秀孝, 2018:
JRA-55 再解析データのダウンスケーリング実験における地形モデル選択が洪水流出解析に及ぼす影響. 土木学会論文集 B1（水工学）, 74, 147-156.

7*

Ito, R., T. Aoyagi, N. Hori, M. Oh’izumi, H. Kawase, K. Dairaku, N. Seino, and H.
Sasaki, 2018: Improvement of Snow Depth Reproduction in Japanese Urban
Areas by the Inclusion of a Snowpack Scheme in the SPUC Model. Journal of
the Meteorological Society of Japan, 96, 511-534, doi:10.2151/jmsj.2018-053.

8

川瀬宏明, 飯田肇, 青木一真, 島田亙, 野坂真也, 村田昭彦, 佐々木秀孝, 2019: 立山黒部アルペンルートにおける積雪観測と異なる水平解像度の非静力学地域気候モデ
ル(NHRCM)を用いた積雪再現実験の比較. 地学雑誌. (in press)

9*

Yamazaki, A., M. Honda, and H. Kawase, 2019: Regional snowfall distributions in a
Japan-Sea side area of Japan associated with jet variability and blocking. .
Journal of the Meteorological Society of Japan, 97, 205-226.

10*

TSUGUTI, H., N. SEINO, H. KAWASE, Y. IMADA, T. NAKAEGAWA, and I.
TAKAYABU, 2019: Meteorological overview and mesoscale characteristics ofthe Heavy Rain Event of July 2018 in Japan. Landslides, 16, 363-371.

1*

Kawabata, T., H.-S. Bauer, T. Schwitalla, V. Wulfmeyer, and A. Adachi, 2018:
Evaluation of forward operators for polarimetric radars aiming for data
assimilation. Journal of the Meteorological Society of Japan, 96A, 157-174,
doi:10.2151/jmsj.2018-017.

2

Kawabata, T. and Y. Shoji, 2018: Applications of GNSS Slant Path Delay Data on
Meteorology at Storm Scales. Multifunctional Operation and Application ofGPS, 143-168, doi:10.5772/intechopen.75101.

3

川畑 拓矢, 2018: 雲解像 4 次元変分法データ同化システム. 気象研究ノート「都市における極端気象の観測・予測・情報伝達」, 236, 日本気象学会, 401pp, ISBN:
978-904129-19-7.

4

川畑拓矢, 上野玄太，中野慎也，藤井陽介，三好建正，小守信正，増田周平，茂木耕作，
中村和幸，杉本憲彦，前島康光，Le Duc，小槻峻司，須藤明人，杉浦望実，釜堀弘隆, 2018: 第 8 回データ同化ワークショップの報告. 天気, 65, 330-333.
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5*

Kawabata, T., T. Schwitalla, A. Adachi, H.-S. Bauer, V. Wulfmeyer, N. Nagumo,
and H. Yamauchi, 2018: Observational operators for dual polarimetric radars
in variational data assimilation systems (PolRad VAR v1.0). Geoscientific
Model Development, 11, 2493-2501, doi:10.5194/gmd-11-2493-2018.

1*

椎名達雄, 千秋博紀, 乙部直人, はしもとじょーじ, 川端康弘, 2018: ローバ搭載用
LED ミニライダーの開発とダストの挙動観測. 日本リモートセンシング学会誌,
38(4), 317-324.

2*

川端康弘, 清野直子, 田中泰宙, 青栁曉典, 2018: 都市における冬季夜間の気温低下抑制の要因に関する感度実験. 日本ヒートアイランド学会論文集, 13, 7-15.

3*

川端康弘, 山本哲, 志藤文武, 清野直子, 2018: 観測環境の違いによる気温の鉛直分布と変動の特徴について. 風工学シンポジウム論文集, 25, 139-144.

北村祐二

1*

Nishizawa, S. and Y. Kitamura, 2018: A surface flux scheme based on the
Monin-Obukhov similarity for finite volume models. Journal of Advances inModeling Earth Systems, 10, 3159-3175, doi:10.1029/2018MS001534.

楠 研一

1

佐藤英一, 楠研一, 2018: Ku バンド高速スキャンレーダーで見た積乱雲内の降水コアの動態. 気象研究ノート第 236 号「都市における極端気象の観測・予測・情報伝達」,
48-57.

2

楠 研一, 2018: 地上気象観測網の概念. 気象研究ノート, 236, 45-47.

3

楠 研一, 2018: 非降水エコーで可視化された局地前線と積乱雲発生過程の解析. 気象
研究ノート, 236, 91-96.

4

鈴木 博人、藤原 忠誠、櫃間 智紀、楠 研一、猪上 華子, 2018: ドップラーレーダーを用いた突風に対する列車運転規制方法の開発と導入. JREA, 61, 42281-42284.

5*

Yoshida, S., E. Yoshikawa, T. Adachi, K. Kusunoki, S. Hayashi, and H. Inoue, 2019:
Three dimensional radio images of winter lightning in Japan andcharacteristics of associated charge structure. IEEJ Transactions on Electricaland Electronic Engineering, 14, 175-184, doi:10.1002/tee.22795.

1*

Uchiyama, A., B. Chen, A. Yamazaki, G. Shi, R. Kudo, C. Nishita-Hara, M.
Hayashi, A. Habib, T. Matsunaga, 2018: Aerosol Optical Characteristics inFukuoka and Beijing Measured by Integrating Nephelometer andAethalometer: Comparison of Source and Downstream Regions. Journal of the
Meteorological Society of Japan, 96, 215-240, doi:10.2151/jmsj.2018-026.

2

R. Kudo, T. Nishizawa, A. Higurashi, and E. Oikawa, 2018: Remote sensing ofaerosols by synergy of CALIOP and MODIS. 28th International Laser Radar
Conference, Conference Proceeding, doi:10.1051/epjconf/201817608012.

3

Nishizawa, T., N. Sugimoto, A. Shimizu, I. Uno, Y. Hara, and R. Kudo, 2018:
Aerosol observation using multi-wavelength Mie-Raman lidars of the Ad-Net
and aerosol component analysis. 28th International Laser Radar Conference,
Conference Proceeding, doi:10.1051/epjconf/201817609005.

4*

R. Kudo, T. Aoyagi, T. Nishizawa, 2018: Characteristics of aerosol vertical profiles
in Tsukuba, Japan, and their impacts on the evolution of the atmosphericboundary layer. Atmospheric Measurement Techniques, 11, 3031-3046,
doi:10.5194/amt-11-3031-2018.

5*

Hara, Y., T. Nishizawa, N. Sugimoto, K. Osada, K. Yumimoto, I. Uno, R. Kudo and
H. Ishimoto, 2018: Retrieval of Aerosol Components Using Multi-Wavelength
Mie-Raman Lidar and Comparison with Ground Aerosol Sampling. Remote
Sensing, 10, 937, doi:10.3390/rs10060937.

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工藤 玲

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6.1. 論文等

6*

Ishimoto, H., R. Kudo, and K. Adachi, 2019: A shape model of internally mixed sootparticles derived from artificial surface tension. Atmospheric Measurement
Techniques, 12, 107-118, doi:10.5194/amt-12-107-2019.

小泉 耕

1

Seko, H., K. Koizumi, T. Yoshihara, A. Senoguchi and T. Koga, 2018: Dataassimilation experiments of SSR mode-s downlink data using Meso-NAPEX
system of JMA. CAS/JSC WGNE Research Activities in Atmospheric andOceanic Modelling/WMO, 48, 1-21.

小久保一哉

1*

Honda, R., Y. Yukutake, Y. Morita, S. Sakai, K. Itadera, and K. Kokubo, 2018:
Precursory tilt changes associated with a phreatic eruption of the Hakone
volcano and the corresponding source model. Earth, Planets and Space, 70,
117, doi:10.1186/s40623-018-0887-4.

小杉如央

1*

Sasano, D., Y. Takatani, N. Kosugi, T. Nakano, T. Midorikawa, and M. Ishii, 2018:
Decline and bidecadal oscillation of dissolved oxygen in the Oyashio region andtheir propagation to the western North Pacific. . Global Biogeochemical Cycles,
32, 909-931.

2*

Kudo K., K. Yamada, S. Toyoda, N. Yoshida, D. Sasano, N. Kosugi, M. Ishii, H.
Yoshikawa, A. Murata, H. Uchida, and S. Nishino, 2018: Spatial distributionof dissolved methane and its source in the western Arctic Ocean. Journal of
Oceanography, 74, 305-317, doi:10.1007/s10872-017-0460-y.

小寺祐貴

1*

Kodera, Y., Y. Yamada, K. Hirano, K. Tamaribuchi, S. Adachi, N. Hayashimoto, M.
Morimoto, M. Nakamura, and M. Hoshiba, 2018: The Propagation of Local
Undamped Motion (PLUM) method: a simple and robust seismic wavefield
estimation approach for earthquake early warning. Bulletin of the
Seismological Society of America, 108(2), 983-1003, doi:10.1785/0120170085.

小林昭夫

1*

K.Z. Nanjo, K. Miyaoka , K. Tamaribuchi , A. Kobayashi , A. Yoshida, 2018: Related
spatio-temporal changes in hypocenters and the b value in the 2017
Kagoshima Bay swarm activity indicating a rise of hot fluids. Tectonophysics,
749, 35-45, doi:10.1016/j.tecto.2018.10.023.

2*

Nakata K., A. Kobayashi, A. Katsumata, F. Hirose, T. Nishimiya, K. Kimura, H.
Tsushima, K. Maeda, H. Baba, N. Hanamura, C. Yamada, and M. Kanezashi,
2019: Double seismic zone and seismicity in the mantle wedge beneath the
Ogasawara Islands identified by an ocean bottom seismometer observation.
Earth, Planets and Space, 71, 29, doi:10.1186/s40623-019-1012-z.

1

古 林 慎 哉, 原 田 昌, 小 林 ちあき, 原 田 やよい, 大 島 和 裕, 中 村 尚, 福 井真, 藤 原 正 智, 山 崎 哲, 芳 村 圭, 2018: 第５回再解析国際会議報告. 天気,
65, 431-439.

2*

Tsujino, H., S. Urakawa, H. Nakano, Y. Harada, C. Kobayashi, S. Kobayashi, 他 25
名, 2018: JRA-55 based surface dataset for driving ocean–sea-ice models(JRA55-do). Ocean Modelling, 130, 79-139, doi:10.1016/j.ocemod.2018.07.002.

3*

Kodera, K., N. Eguchi, R. Ueyama, Y. Kuroda, C. Kobayashi, B. M. Funatsu, and C.
Claud, 2019: Implication of tropical lower stratospheric cooling in recent
trends in tropical circulation and deep convective activity. Atmospheric
Chemistry and Physics, 19, 2655-2669, doi:10.5194/acp-19-2655-2019.

1*

Hatfield, S., P. Duben, M. Chantry, K. Kondo, T. Miyoshi, and T. Palmer, 2018:
Choosing the Optimal Numerical Precision for Data Assimilation in the
Presence of Model Error. Journal of Advances in Modeling Earth Systems, 10,

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近藤圭一

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6. 成果発表

6.1. 論文等

2177-2191, doi:10.1029/2018MS001341.
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., 2018: 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.

2*

Kajino, M., Sekiyama, T. T., Igarashi, Y., Katata, G., Sawada, M., Adachi, K., et al.,
2019: Deposition and dispersion of radio－cesium released due to the
Fukushima nuclear accident: Sensitivity to meteorological models andphysical modules. Journal of Geophysical Research, 124, 1823-1845.

3*

Igarashi, Y., K. Kita, T. Maki, T. Kinase, N. Hayashi, K. Hosaka, K. Adachi, M.
Kajino, M. Ishizuka, T. T. Sekiyama, Y. Zaizen, C. Takenaka, K. Ninomiya, H.
Okochi and A. Sorimachi , 2019: Fungal spore involvement in theresuspension of radiocaesium in summer. Scientific Reports, 9:1954,
doi:10.1038/s41598-018-37698-x.

酒井 哲

1*

Sakai, T., T. Nagai, T. Izumi, S. Yoshida, and Y. Shoji, 2019: Automated compact
mobile Raman lidar for water vapor measurement: instrument description andvalidation by comparison with radiosonde, GNSS, and high-resolution
objective analysis. Atmospheric Measurement Techniques, 12, 313-326,
doi:10.5194/amt-12-313-2019.

坂本 圭

1*

Nakano, H., H. Tsujino, K. Sakamoto, S. Urakawa, T. Toyoda, and G. Yamanaka,
2018: Identification of the fronts from the Kuroshio Extension to the Subarctic
Current using absolute dynamic topographies in satellite altimetry products.
Journal of Oceanography, 74, 393-420, doi:10.1007/s10872-018-0470-4.

2*

坂本圭, 辻野博之, 中野英之, 浦川昇吾, 山中吾郎, 2018: Git と Redmine を用いた気象研究所共用海洋モデル「MRI.COM」の開発管理. 海の研究, 27, 175-188.

3

豊田隆寛, 岩本勉之, 浦川昇吾, 辻野博之, 中野英之, 坂本圭, 山中吾郎, 小室芳樹, 西
野茂人, 浮田甚郎, 2019: 衛星観測の薄氷データを用いた海洋・海氷シミュレーシ
ョンの改善. 月刊海洋, 51, 121-127.

4*

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,
doi:10.1175/MWR-D-18-0198.1. (in press)

1*

Kawase, H., T. Sasai, T. Yamazaki, R. Ito, K. Dairaku, S. Sugimoto, H. Sasaki, A.
Murata, M. Nosaka, 2018: Characteristics of synoptic conditions for heavy
snowfall in western to northeastern Japan analyzed by the 5-km regional
climate ensemble experiments. Journal of the Meteorological Society of Japan,
96, 161-178, doi:10.2151/jmsj.2018-022.

2*

S. Sugimoto, R. Ito, K. Dairaku, H. Kawase, H. Sasaki, S. Watanabe, Y. Okada, S.
Kawazoe, T. Yamazaki, T. Sasai, 2018: Impacts of spatial resolution in
dynamical downscaling simulation on the consecutive dry days and nearsurface temperature over the central mountains in Japan. SOLA, 14, 46-51,
doi:10.2151/sola.2018-008.

財前祐二

佐々木秀孝

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6. 成果発表

佐藤英一

6.1. 論文等

3

丸谷靖幸, 原田守啓, 伊東瑠衣, 川瀬宏明, 大楽浩司, 佐々木秀孝, 2018: 気候変動影響評価に向けた降雨分布の空間解像度が流出解析に与える影響に関する検討. 土木学会論文集 G（環境）, 74, 147-156.

4Mau, N. D., N. M. Truong, H. Sasaki, and I. Takayabu, 2018: A study of seasonalrainfall in Vietnam at the end of 21st century according to the
Non-Hydrostatic Regional Climate Model. . Vietnam Journal of Science,
Technology and Engineering, 60, 89-96, doi:10.31276/VJSTE.60(3).89.

5

丸谷靖幸, 原田守啓, 伊東瑠衣, 川瀬宏明, 大楽浩司, 佐々木秀孝, 2018: 気候変動影響評価に向けた気候モデルおよび影響評価モデルの不確実性の関係性の評価. 土木学会論文集 B1(水工学), 74, 5.

6

原田守啓, 丸谷靖幸, 伊東瑠衣, 石崎紀子, 川瀬宏明, 大楽浩司, 佐々木秀孝, 2018:
JRA-55 再解析データのダウンスケーリング実験における地形モデル選択が洪水流出解析に及ぼす影響. 土木学会論文集 B1（水工学）, 74, 147-156.

7*

Ito, R., T. Aoyagi, N. Hori, M. Oh’izumi, H. Kawase, K. Dairaku, N. Seino, and H.
Sasaki, 2018: Improvement of Snow Depth Reproduction in Japanese Urban
Areas by the Inclusion of a Snowpack Scheme in the SPUC Model. Journal of
the Meteorological Society of Japan, 96, 511-534, doi:10.2151/jmsj.2018-053.

8

川瀬宏明, 飯田肇, 青木一真, 島田亙, 野坂真也, 村田昭彦, 佐々木秀孝, 2019: 立山黒部アルペンルートにおける積雪観測と異なる水平解像度の非静力学地域気候モデ
ル(NHRCM)を用いた積雪再現実験の比較. 地学雑誌. (in press)

1

佐藤英一, 楠研一, 2018: Ku バンド高速スキャンレーダーで見た積乱雲内の降水コアの動態. 気象研究ノート第 236 号「都市における極端気象の観測・予測・情報伝達」,
48-57.

2*

Sato. E, K. Fukui, and T. Shimbori, 2018: Aso volcano eruption on October 8, 2016,
observed by weather radars. Earth, Planets and Space, 70:105, 1-8,
doi:10.1186/s40623-018-0879-4.

3

佐藤英一, 新堀敏基, 福井敬一, 石井憲介, 徳本哲男, 2018: 気象レーダーで観測された2018 年 1 月 23 日草津白根山噴火に伴う噴煙エコー. 火山噴火予知連絡会会報,129, 78-82.

4佐藤英一, 2018: Ku バンド高速スキャンレーダーによる降水コアの観測と気象レーダ
ーを用いた火山噴煙観測計画について. 気象研究ノート第 237 号「気象レーダー
60 年の歩みと将来展望」, 246-251.

5*

Yokota, S., H. Seko, M. Kunii, H. Yamauchi, and E. Sato, 2018: Improving
short-term rainfall forecasts by assimilating weather radar reflectivity using
additive ensemble perturbations. Journal of Geophysical Research
Atmosphere, 123, 9047-9062, doi:10.1029/2018JD028723.

6

佐藤英一, 福井敬一, 新堀敏基, 石井憲介, 徳本哲男, 2018: 気象レーダーで観測した2018 年 3 月から 5 月にかけての霧島山（新燃岳）噴火に伴う噴煙エコー. 火山噴火予知連絡会会報, 130, 292-298.

7小林文明, 佐藤英一, 野田稔, 友清衣利子, 佐々浩司, 岩下久人, 長尾文明, ガヴァンス
キ江梨, 竹内崇, 堤拓哉, 大幢勝利, 髙橋弘樹, 高森浩治, 森山英樹, 吉田昭仁,
2019: 【速報】台風 1821 号（JEBI）がもたらした広域強風災害について. 日本
風工学会誌, 44, 44-53.

8

横田祥, 新野宏, 瀬古弘, 國井勝, 山内洋, 佐藤英一, 2019: 高解像度アンサンブル予報を用いた竜巻の発生要因の解析. 月刊海洋号外「新野宏教授退職記念号」. (inpress)- 473 -

6. 成果発表

6.1. 論文等

澤 庸介

1*

Umezawa, T., H. Matsueda, Y. Sawa, Y. Niwa, T. Machida, and L. Zhou, 2018:
Seasonal evaluation of tropospheric CO2 over the Asia-Pacific region observedby the CONTRAIL commercial airliner measurements. Atmospheric
Chemistry and Physics, 18, 14851-14866.

沢田雅洋

1*

Oyama, R., M. Sawada, and K. Shimoji, 2018: Diagnosis of Tropical Cyclone
Intensity and Structure Using Upper Tropospheric Atmospheric Motion
Vectors. Journal of the Meteorological Society of Japan, 96B,
doi:10.2151/jmsj.2017-024.

2*

Ito, K., M. Sawada, and M. Yamaguchi, 2018: Tropical cyclone forecasts in theWestern North Pacific with high-resolution atmosphere and coupled models.
気象研究所研究報告, 67, 15-34.

3*伊藤耕介, 沢田雅洋, 山口宗彦, 2018: 高解像度大気モデル及び大気海洋結合モデルを用いた北西太平洋全域台風予測実験. 気象研究所研究報告, 67, 15-34,
doi:10.2467/mripapers.67.15.

4*

Yamaguchi, M., H. Owada, U. Shimada, M. Sawada, T. Iriguchi, K. D. Musgrave,and M. DeMaria, 2018: Tropical Cyclone Intensity Prediction in the Western
North Pacific Basin using SHIPS and JMA/GSM.. SOLA, 14, 138-143,
doi:10.2151/sola.2018-024.

5*

Shimada, U., H. Owada, M. Yamaguchi, T. Iriguchi, M. Sawada, K. Aonashi, M.
DeMaria, and K. Musgrave, 2018: Further Improvements to the Statistical
Hurricane Intensity Prediction Scheme Using Tropical Cyclone Rainfall and
Structural Features . Weather and Forecasting, 33, 1587-1603,
doi:10.1175/WAF-D-18-0021.1.

6

山口宗彦, 嶋田宇大, 沢田雅洋, 入口武史, 大和田浩美, 2019: 台風予報・解析技術高度化プロジェクトチームによる 5 日先台風強度予報ガイダンスの開発. 気象研究所
技術報告, 82, 60, doi:10.11483/mritechrepo.82.

1*

Sawada, Y., 2018: Quantifying drought propagation from soil moisture to vegetation
dynamics using a newly developed ecohydrological land reanalysis. Remote
Sensing, 10, 1197, doi:10.3390/rs10081197.

2*

筒井浩行, 澤田洋平, 小池俊雄, 2018: ブラジル北東域における 2005 年歴史的渇水の植
生動態－陸面結合データ同化によるモニタリング. 水工学論文集. (in press)

3*

Sawada, Y., K. Okamoto, M. Kunii, and T. Miyoshi, 2019: Assimilating every‐10‐
minute Himawari‐8 infrared radiances to improve convective predictability.
Journal of Geophysical Research Atmosphere, doi:10.1029/2018JD029643. (inpress)

4*

Okamoto, K. , Y. Sawada and M. Kunii, 2019: Comparison of assimilating all‐sky
and clear‐sky infrared radiances from Himawari‐8 in a mesoscale system..
Quarterly Journal of the Royal Meteorological Society, 1-22,
doi:10.2151/jmsj.2018-024.

1*

Yamaguchi, M., H. Owada, U. Shimada, M. Sawada, T. Iriguchi, K. D. Musgrave,and M. DeMaria, 2018: Tropical Cyclone Intensity Prediction in the Western
North Pacific Basin using SHIPS and JMA/GSM.. SOLA, 14, 138-143,
doi:10.2151/sola.2018-024.

2*

Shimada, U., and T. Horinouchi, 2018: Reintensification and Eyewall Formation in
Strong Shear: A Case Study of Typhoon Noul (2015). Monthly Weather
Review, 146, 2799–2817, doi:10.1175/MWR-D-18-0035.1.

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嶋田宇大

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6. 成果発表

小司禎教

新堀敏基

6.1. 論文等

3*

Shimada, U., H. Owada, M. Yamaguchi, T. Iriguchi, M. Sawada, K. Aonashi, M.
DeMaria, and K. Musgrave, 2018: Further Improvements to the Statistical
Hurricane Intensity Prediction Scheme Using Tropical Cyclone Rainfall and
Structural Features . Weather and Forecasting, 33, 1587-1603,
doi:10.1175/WAF-D-18-0021.1.

4

山口宗彦, 嶋田宇大, 沢田雅洋, 入口武史, 大和田浩美, 2019: 台風予報・解析技術高度化プロジェクトチームによる 5 日先台風強度予報ガイダンスの開発. 気象研究所
技術報告, 82, 60, doi:10.11483/mritechrepo.82.

5嶋田宇大, 小山亮, 清水慎吾, 2019: 台風第 21 号の上陸に伴う内部構造の劇的変化及びメソ渦と突風の関係. 「平成 30 年台風 21 号による強風・高潮災害の総合研究」
報告書. (in press)

1

小司禎教, 2018: 船舶の安全航行に不可欠な衛星測位システムを用いた豪雨予測研究について. 月報 Captain, 444, 2-5.

2小司禎教, 2018: ローカルな水蒸気変動の GPS/GNSS による解析. 気象研究ノート「都市における極端気象の観測・予測・情報伝達」, 236, 74-81.

3*

Oigawa, M., T. Tsuda, H. Seko, Y. Shoji, and E. Realini, 2018: Data assimilation
experiment of precipitable water vapor observed by a hyper-dense GNSS
receiver network using a nested NHM-LETKF system. Earth, Planets andSpace, 70, 70-74, doi:10.1186/s40623-018-0851-3.

4

Kawabata, T. and Y. Shoji, 2018: Applications of GNSS Slant Path Delay Data on
Meteorology at Storm Scales. Multifunctional Operation and Application ofGPS, 143-168, doi:10.5772/intechopen.75101.

5*

Kato, T., Yukihiro Terada, Keiichi Tadokoro, Natsuki Kinugasa, Akira Futamura,Morio Toyoshima, Shin-ichi Yamamoto, Mamoru Ishii, Takuya Tsugawa,Michi Nishioka, Kenichi Takizawa, Yoshinori Shoji, and Hiromu Seko, 2018:
Development of GNSS Buoy for a Synthetic Geohazard Monitoring System.
Journal of Disaster Research, 13, 460-471, doi:10.20965/jdr.2018.p0460.

6*

Sakai, T., T. Nagai, T. Izumi, S. Yoshida, and Y. Shoji, 2019: Automated compact
mobile Raman lidar for water vapor measurement: instrument description andvalidation by comparison with radiosonde, GNSS, and high-resolution
objective analysis. Atmospheric Measurement Techniques, 12, 313-326,
doi:10.5194/amt-12-313-2019.

1*

Sato. E, K. Fukui, and T. Shimbori, 2018: Aso volcano eruption on October 8, 2016,
observed by weather radars. Earth, Planets and Space, 70:105, 1-8,
doi:10.1186/s40623-018-0879-4.

2

佐藤英一, 新堀敏基, 福井敬一, 石井憲介, 徳本哲男, 2018: 気象レーダーで観測された2018 年 1 月 23 日草津白根山噴火に伴う噴煙エコー. 火山噴火予知連絡会会報,129, 78-82.

3*

Kitayama, K., Y. Morino, M. Takigawa, T. Nakajima, H. Hayami, H. Nagai, H.
Terada, K. Saito, T. Shimbori, M. Kajino, T. T. Sekiyama, D. Didier, A.
Mathieu, D. Quelo, T. Ohara, H. Tsuruta, Y. Oura, M. Ebihara, Y. Moriguchi,
and T. Shibata, 2018: Atmospheric modeling of 137Cs plumes from the
Fukushima Daiichi Nuclear Power Plant - Evaluation of the modelintercomparison data of the Science Council of Japan. Journal of GeophysicalResearch Atmosphere, 123, 7754-7770, doi:10.1029/2017JD028230.

4

佐藤英一, 福井敬一, 新堀敏基, 石井憲介, 徳本哲男, 2018: 気象レーダーで観測した- 475 -

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2018 年 3 月から 5 月にかけての霧島山（新燃岳）噴火に伴う噴煙エコー. 火山噴火予知連絡会会報, 130, 292-298.
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1石原正仁, 鈴木修, 山内洋, 2018: 気象研究所における気象レーダー研究. 気象レーダ
ー60 年の歩みと将来展望、気象研究ノート, 237, 158-171.

清野直子

1*

Bélair, S, S. Leroyer, N. Seino, L. Spacek, V. Souvanlassy, and D. Paquin-Ricard,
2018: Role and Impact of the Urban Environment in a Numerical Forecast ofan Intense Summertime Precipitation Event over Tokyo. Journal of the
Meteorological Society of Japan, 96A, 77-94.

2*

Sugawara, H., R. Oda, and N. Seino, 2018: Urban thermal influence on the
precipitation system. Journal of the Meteorological Society of Japan, 96A,
67-76.

3*

Seino, N., R. Oda, H. Sugawara, and T. Aoyagi, 2018: Observations and Simulationsof the Mesoscale Environment in TOMACS Urban Heavy Rain Events.
Journal of the Meteorological Society of Japan, 96A, 221-245.

4小田僚子, 清野直子, 2018: 夏期のラジオゾンデ観測の概要と都市における混合層高度の解析. 気象研究ノート, 第 236 号, 31-35.

5

清野直子, 2018: 短時間強雨事例の大気環境場. 気象研究ノート, 第 236 号, 36-44.

6Wada, A., and N. Seino, 2018: Numerical simulations on a local heavy rainfall event
south of Kanto region by using a coupled atmosphere-wave-ocean model withthe regional air-sea coupled data assimilation system based on NHM-LETKF.
Research Activities in Atmospheric and Oceanic Modelling, 48, 9-03.

7*

川端康弘, 清野直子, 田中泰宙, 青栁曉典, 2018: 都市における冬季夜間の気温低下抑制の要因に関する感度実験. 日本ヒートアイランド学会論文集, 13, 7-15.

8*Ito, R., T. Aoyagi, N. Hori, M. Oh’izumi, H. Kawase, K. Dairaku, N. Seino, and H.
Sasaki, 2018: Improvement of Snow Depth Reproduction in Japanese Urban
Areas by the Inclusion of a Snowpack Scheme in the SPUC Model. Journal of
the Meteorological Society of Japan, 96, 511-534, doi:10.2151/jmsj.2018-053.

9*

川端康弘, 山本哲, 志藤文武, 清野直子, 2018: 観測環境の違いによる気温の鉛直分布と変動の特徴について. 風工学シンポジウム論文集, 25, 139-144.

10*

TSUGUTI, H., N. SEINO, H. KAWASE, Y. IMADA, T. NAKAEGAWA, and I.
TAKAYABU, 2019: Meteorological overview and mesoscale characteristics ofthe Heavy Rain Event of July 2018 in Japan. Landslides, 16, 363-371.

1

Mathieu, A., M. Kajino, I. Korsakissok, R. Périllat, D. Quélo, A. Quérel, O. Saunier,
T. T. Sekiyama, Y. Igarashi, D. Didier, 2018: Fukushima Daiichi-derived
radionuclides in the atmosphere, transport and deposition in Japan: A review.
Applied Geochemistry, 91, 122-139, doi:10.1016/j.apgeochem.2018.01.002.

2*

Kajino, M., T. T. Sekiyama, A. Mathieu, I. Korsakissok, R. Périllat, D. Quélo, A.
Quérel, O. Saunier, K. Adachi, S. Girard, T. Maki, K. Yumimoto, D. Didier, O.
Masson, Y. Igarashi,, 2018: Lessons learned from atmospheric modelingstudies after the Fukushima nuclear accident: Ensemble simulations, data
assimilation, elemental process modeling, and inverse modeling, . Geochemical
Journal, 52（2）, 85-101, doi:10.2343/geochemj.2.0503.

3*

S. Hayashida, M. Kajino, M. Deushi, T. T. Sekiyama, X. Liu, 2018: Seasonality of
the lower tropospheric ozone over China observed by the Ozone Monitoring
Instrument. Atmospheric Environment, 184, 244-253,
doi:10.1016/j.atmosenv.2018.04.014.

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6. 成果発表

瀬古 弘

6.1. 論文等

4*

Benedetti, A., Reid, J. S. Knippertz, P. Marsham, J. H. Di Giuseppe, F. Rémy, S.
Basart, S. Boucher, O. Brooks, I. M. Menut, L. Mona, L. Laj, P. Pappalardo, G.
Wiedensohler, A. Baklanov, A. Brooks, M. Colarco, P. R. Cuevas, et al., 2018:
Status and future of numerical atmospheric aerosol prediction with a focus ondata requirements. Atmospheric Chemistry and Physics, 18, 10615-10643,
doi:10.5194/acp-18-10615-2018.

5*

Kitayama, K., Y. Morino, M. Takigawa, T. Nakajima, H. Hayami, H. Nagai, H.
Terada, K. Saito, T. Shimbori, M. Kajino, T. T. Sekiyama, D. Didier, A.
Mathieu, D. Quelo, T. Ohara, H. Tsuruta, Y. Oura, M. Ebihara, Y. Moriguchi,
and T. Shibata, 2018: Atmospheric modeling of 137Cs plumes from the
Fukushima Daiichi Nuclear Power Plant - Evaluation of the modelintercomparison data of the Science Council of Japan. Journal of GeophysicalResearch Atmosphere, 123, 7754-7770, doi:10.1029/2017JD028230.

6

Y. Inomata、M. Aoyama、T. Tsubono、D. Tsumune、Y. Kumamoto、H. Nagai、T.
Yamagata、M. Kajino、Y. T. Tanaka、T. T. Sekiyama、E. Oka、M. Yamada,
2018: Estimate of Fukushima-derived radiocaesium in the North Pacific
Ocean in summer 2012. Journal of Radioanalytical and Nuclear Chemistry,
318（3）, 1587-1596.

7*

Sekiyama, T. T. and T. Iwasaki, 2018: Mass flux analysis of Cs-137 plumes emitted
from the Fukushima Daiichi Nuclear Power Plant. Tellus B,
doi:10.1080/16000889.2018.1507390. (in press)

8*

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., 2018: 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.

9*

Kajino, M., Sekiyama, T. T., Igarashi, Y., Katata, G., Sawada, M., Adachi, K., et al.,
2019: Deposition and dispersion of radio－cesium released due to the
Fukushima nuclear accident: Sensitivity to meteorological models andphysical modules. Journal of Geophysical Research, 124, 1823-1845.

10*

Igarashi, Y., K. Kita, T. Maki, T. Kinase, N. Hayashi, K. Hosaka, K. Adachi, M.
Kajino, M. Ishizuka, T. T. Sekiyama, Y. Zaizen, C. Takenaka, K. Ninomiya, H.
Okochi and A. Sorimachi , 2019: Fungal spore involvement in theresuspension of radiocaesium in summer. Scientific Reports, 9:1954,
doi:10.1038/s41598-018-37698-x.

1*

Yokota, S., H. Niino, H. Seko, M. Kunii, and H. Yamauchi, 2018: Important factors
for tornadogenesis as revealed by high-resolution ensemble forecasts of the
Tsukuba supercell tornado of 6 May 2012 in Japan. Monthly Weather Review,
146, 1109-1132, doi:10.1175/MWR-D-17-0254.1.

2*

Pereira Filho, A. J., F. Vemado, K. Saito, H. Seko, J. L. Flores Rojas, H. A. Karam,
2018: ARPS Simulations of Convection during TOMACS. Journal of the
Meteorological Society of Japan, 96, 247-263, doi:10.2151/jmsj.2018-030.

3*

Oigawa, M., T. Tsuda, H. Seko, Y. Shoji, and E. Realini, 2018: Data assimilation
experiment of precipitable water vapor observed by a hyper-dense GNSS
receiver network using a nested NHM-LETKF system. Earth, Planets and- 477 -

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Space, 70, 70-74, doi:10.1186/s40623-018-0851-3.
4横田祥, 瀬古弘, 國井勝, 山内洋, 2018: LETKF ネストシステムによる稠密観測データの同化実験―2012 年 5 月 6 日に関東地方で発生した竜巻の事例について―. 気象
研究ノート「都市における極端気象の観測・予測・情報伝達」, 236, 242-249.

5*Kato, T., Yukihiro Terada, Keiichi Tadokoro, Natsuki Kinugasa, Akira Futamura,Morio Toyoshima, Shin-ichi Yamamoto, Mamoru Ishii, Takuya Tsugawa,Michi Nishioka, Kenichi Takizawa, Yoshinori Shoji, and Hiromu Seko, 2018:
Development of GNSS Buoy for a Synthetic Geohazard Monitoring System.
Journal of Disaster Research, 13, 460-471, doi:10.20965/jdr.2018.p0460.

6

Seko, H., K. Koizumi, T. Yoshihara, A. Senoguchi and T. Koga, 2018: Dataassimilation experiments of SSR mode-s downlink data using Meso-NAPEX
system of JMA. CAS/JSC WGNE Research Activities in Atmospheric andOceanic Modelling/WMO, 48, 1-21.

7*

Yokota, S., H. Seko, M. Kunii, H. Yamauchi, and E. Sato, 2018: Improving
short-term rainfall forecasts by assimilating weather radar reflectivity using
additive ensemble perturbations. Journal of Geophysical Research
Atmosphere, 123, 9047-9062, doi:10.1029/2018JD028723.

8*

Fukui, S, T. Iwasaki, K. Saito, H. Seko and M. Kunii, 2018: A feasibility study of thehigh-resolution regional reanalysis over Japan assimilating only conventional
observations as an alternative to the dynamical downscaling. Journal of the
Meteorological Society of Japan, 96, 565-585, doi:10.2151/jmsj.2018-056.

9*

Otsuka, M., H. Seko, K. Shimoji, and K. Yamashita, 2018: Characteristics ofHimawari-8 Rapid Scan Atmospheric Motion Vectors Utilized in Mesoscale
Data Assimilation . Journal of the Meteorological Society of Japan, 96B,
111-131, doi:10.2151/jmsj.2018-034.

10横田祥, 新野宏, 瀬古弘, 國井勝, 山内洋, 2019: データ同化とアンサンブル予報による竜巻発生過程の解析. ながれ, 38-1. (in press)

11*

Maejima, Y., T. Miyoshi, M. Kunii, H. Seko and K. Sato, 2019: Impact of Dense andFrequent Surface Observations on 1-Minute-Update Severe Rainstorm
Prediction: A Simulation Study. Journal of the Meteorological Society ofJapan, 97, 253-273, doi:10.2151/jmsj.2019-014.

12*

Chen, G., H. Iwai, S. Ishii, K. Saito, H. Seko, W. Sha and T. Iwasaki, 2019:
Structures of the Sea‐Breeze Front in Dual‐Doppler Lidar Observation and
Coupled Mesoscale‐to‐LES Modeling. Journal of Geophysical Research
Atmosphere, doi:10.1029/2018JD029017.

13*

大谷修一, 仲田直樹, 石本歩, 秋枝周子, 風早範彦, 西森靖高, 中村剛, 依岡幸広, 立神
達朗, 岩田奉文, 瀬古弘, 横田祥, 2019: 下層インフローに着目した大雨と環境場との関係に関するアンサンブル予報実験による解析 ―平成 26 年 8 月 19～20 日に発生した広島県南部の大雨事例―. 天気（論文・短報）, 66, 141-160.

14

Otsuka, M., J. Matsumoto, and H. Seko, 2019: Geostationary Satellite Data
Assimilation in Mesoscale Forecast Sytems: A Review. Geographical Reportsof Tokyo Metropolitan University, 54, 1-10.

15

横田祥, 新野宏, 瀬古弘, 國井勝, 山内洋, 2019: 竜巻のアンサンブル予報. 気象研究ノート「竜巻を識る」. (in press)

16

横田祥, 新野宏, 瀬古弘, 國井勝, 山内洋, 佐藤英一, 2019: 高解像度アンサンブル予報を用いた竜巻の発生要因の解析. 月刊海洋号外「新野宏教授退職記念号」. (in- 478 -

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press)
17

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

18

瀬古弘, 斉藤和雄, 國井勝, 2019: メソアンサンブルによる竜巻予測の可能性. 気象研
究ノート「竜巻を識る」. (in press)

1

武尾実, 大湊隆雄, 前野深, 篠原雅尚, 馬場聖至, 渡邉篤志, 市原美恵, 西田究, 金子隆
之, 安田敦, 杉岡裕子, 浜野洋三, 多田訓子, 中野俊, 吉本充宏, 高木朗充, 長岡
優, 2018: 西之島の地球物理観測と上陸調査. 海洋理工学会誌, 24, 45-56,
doi:10.14928/amstec.24.1_45.

2高木朗充, 北川隆洋, 2018: 観測船による西之島の火山活動（2018 年 5 月）. 火山噴火予知連絡会会報, 130, 175-178.

3*高木朗充, 谷口正実, 太田健治, 上田義浩, 松末伸一, 小窪則夫, 2019: 1950 年代から2001 年までの気象庁の検知管法による火山ガス成分観測データの調査と解析. 験
震時報（論文）, 82. (in press)4*

高木朗充, 2019: 深部圧力源による火山性地殻変動に基づく噴火発生予測の評価. 火山.
(in press)

1*

Scaife, A. A. et al., 2018: Tropical rainfall predictions from multiple seasonal
forecast systems. International Journal of Climatology, doi:10.1002/joc.5855.

2

Takaya, Y., 2018: Forecast system design, configuration, complexity. Sub-seasonal
to Seasonal Prediction, ELSEVIER, 245-259pp, ISBN: 9780128117149.

1

Mau, N. D., N. M. Truong, H. Sasaki, and I. Takayabu, 2018: A study of seasonalrainfall in Vietnam at the end of 21st century according to the
Non-Hydrostatic Regional Climate Model. . Vietnam Journal of Science,
Technology and Engineering, 60, 89-96, doi:10.31276/VJSTE.60(3).89.

2*

TSUGUTI, H., N. SEINO, H. KAWASE, Y. IMADA, T. NAKAEGAWA, and I.
TAKAYABU, 2019: Meteorological overview and mesoscale characteristics ofthe Heavy Rain Event of July 2018 in Japan. Landslides, 16, 363-371.

田尻拓也

1

山下克也, 當房豊, 荒木健太郎, 佐藤陽祐, 三隅良平, 前田麻人, 岩田拓己, 森樹大, 岩
本洋子, 村田浩太郎, 折笠成宏, 田尻拓也, 齋藤泉, 端野典平, 島伸一郎, 武田和弥, 郭朋君, 川合秀明, 山内晃, 藤原智貴, 堀田陽香, 熊谷幸基, 猪又淳之助, 大芦
宏彰, 高橋麗, 酒井健人, 2018: 「2017 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, 65, 521-528.

田中泰宙

1*

Okamoto, K., T. Ishibashi, S. Ishii, P. Baron, K. Gamo, T. Y. Tanaka, K. Yamashita,
and T. Kubota, 2018: Feasibility study for future space-borne coherent Doppler
wind lidar. part 3: Impact assessment using sensitivity observing systemsimulation experiments.. Journal of the Meteorological Society of Japan, 96,
179-199, doi.org/10.2151/jmsj.2018-024.

2*

Yumimoto, K., T. Y. Tanaka, M.Yoshida, M. Kikuchi, T. M. Nagao, H. Murakami,
and T. Maki, 2018: Assimilation and Forecasting Experiment for Heavy
Siberian Wildfire Smoke in May 2016 with Himawari-8 Aerosol OpticalThickness. Journal of the Meteorological Society of Japan, 96B, 133-149,
doi:/10.2151/jmsj.2018-035.

3*

C. Orbe et al., 2018: Large-scale tropospheric transport in the Chemistry–Climate
Model Initiative (CCMI) simulations. Atmospheric Chemistry and Physics, 18,
7217-7235, doi:10.5194/acp-18-7217-2018.

高木朗充

高谷祐平

高薮 出

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谷川朋範

6.1. 論文等

4*

Benedetti, A., Reid, J. S. Knippertz, P. Marsham, J. H. Di Giuseppe, F. Rémy, S.
Basart, S. Boucher, O. Brooks, I. M. Menut, L. Mona, L. Laj, P. Pappalardo, G.
Wiedensohler, A. Baklanov, A. Brooks, M. Colarco, P. R. Cuevas, et al., 2018:
Status and future of numerical atmospheric aerosol prediction with a focus ondata requirements. Atmospheric Chemistry and Physics, 18, 10615-10643,
doi:10.5194/acp-18-10615-2018.

5

Y. Inomata、M. Aoyama、T. Tsubono、D. Tsumune、Y. Kumamoto、H. Nagai、T.
Yamagata、M. Kajino、Y. T. Tanaka、T. T. Sekiyama、E. Oka、M. Yamada,
2018: Estimate of Fukushima-derived radiocaesium in the North Pacific
Ocean in summer 2012. Journal of Radioanalytical and Nuclear Chemistry,
318（3）, 1587-1596.

6*

川端康弘, 清野直子, 田中泰宙, 青栁曉典, 2018: 都市における冬季夜間の気温低下抑制の要因に関する感度実験. 日本ヒートアイランド学会論文集, 13, 7-15.

7*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., 2018: 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.

8*Xian, P., J. S. Reid, E. J. Hyer, C. R. Sampson, J. I. Rubin, M. Ades, N. Asencio, S.
Basart, A. Benedetti, P. Bhattacharjee, M. E. Brooks, P. R. Colarco, A. D.
Silva, T. F. Eck, J. Guth, O. Jorba, et al. , 2019: 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. (in press)

9*

Keiya Yumimoto, Mizuo Kajino, Taichu Y. Tanaka & Itsushi Uno, 2019: Dust
Vortex in the Taklimakan Desert by Himawari-8 High Frequency and
Resolution Observation. Scientific Reports, 9,1209.

1*

Matoba, S., M. Niwano, T. Tanikawa, Y. Iizuka, T. Yamasaki, Y. Kurosaki, T. Aoki,
A. Hashimoto, M. Hosaka, and S. Sugiyama, 2018: Field activities at the
SIGMA-A site, northwestern Greenland Ice Sheet. Bulletin of GlaciologicalResearch, 36, 15-22, doi:10.5331/bgr.18R01.

2*

Snorre, S., Y. Fan, N. Chen, W. Li, T. Tanikawa, Z. Lin, X. Liu, S. Burton, A. Omar,
J. J. Stamnes, B. Cairns, and K. Stamnes, 2018: Advantages of Measuring the
Q Stokes Parameter in Addition to the Total Radiance I in the Detection of
Absorbing Aerosols. Frontiers in Earth Science, 6,
doi:10.3389/feart.2018.00034. (in press)

3*

黒崎 豊，的場澄人，飯塚芳徳，庭野匡思，谷川朋範，青木輝夫, 2018: バフィン湾周辺の環境がグリーンランド北西部の降雪中の d-excess と化学成分に与える影響. 雪
氷, 80, 515-529.

4

谷川朋範，余郷友祐，井岡佑介，深堀正志，保坂征宏，青木輝夫，浜田啓次，赤坂有史,
2018: 積雪・海氷. 気象研究ノート第 238 号「静止気象衛星ひまわり８号・９号とその利用」.

5*

Chen, N., W. Li, C. Gatebe, T. Tanikawa, M. Hori, R. Shimada, T. Aoki, and K.
Stamnes, 2018: New neural network cloud mask algorithm based on radiative- 480 -

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transfer simulations. Remote Sensing of Environment, 219, 62-71,
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溜渕功史

津口裕茂

辻野博之

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Kodera, Y., Y. Yamada, K. Hirano, K. Tamaribuchi, S. Adachi, N. Hayashimoto, M.
Morimoto, M. Nakamura, and M. Hoshiba, 2018: The Propagation of Local
Undamped Motion (PLUM) method: a simple and robust seismic wavefield
estimation approach for earthquake early warning. Bulletin of the
Seismological Society of America, 108(2), 983-1003, doi:10.1785/0120170085.

2*

Tamaribuchi, K., Y. Yagi, B. Enescu, and S. Hirano, 2018: Characteristics offoreshock activity inferred from the JMA earthquake catalog. Earth, Planets
and Space, 70, 90, doi:10.1186/s40623-018-0866-9.

3*

Tamaribuchi, K., 2018: Evaluation of automatic hypocenter determination in the
JMA unified catalog. Earth, Planets and Space, 70, 141,
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4

廣田伸之, 溜渕功史, 2018: 即時的な解説資料における自動震源の活用. 平成 28 年
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5*K.Z. Nanjo, K. Miyaoka , K. Tamaribuchi , A. Kobayashi , A. Yoshida, 2018: Related
spatio-temporal changes in hypocenters and the b value in the 2017
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749, 35-45, doi:10.1016/j.tecto.2018.10.023.

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Wada, A., H. Tsuguti, and H. Yamada, 2018: Formation and propagation ofshield-like precipitation pattern in the Eastern China Sea remotely enhanced
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2

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3

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2*

Nakano, H., H. Tsujino, K. Sakamoto, S. Urakawa, T. Toyoda, and G. Yamanaka,
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3*

Suzuki, T., D. Yamazaki, H. Tsujino, Y. Komuro, H. Nakano, S. Urakawa, 2018: A
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4*

坂本圭, 辻野博之, 中野英之, 浦川昇吾, 山中吾郎, 2018: Git と Redmine を用いた気象研究所共用海洋モデル「MRI.COM」の開発管理. 海の研究, 27, 175-188.

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8*

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2*

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1*

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2*

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9*B. Ayarzagüena et al, 2018: No Robust Evidence of Future Changes in Major
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10*

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12*

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14*

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16*

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1

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2

佐藤英一, 福井敬一, 新堀敏基, 石井憲介, 徳本哲男, 2018: 気象レーダーで観測した2018 年 3 月から 5 月にかけての霧島山（新燃岳）噴火に伴う噴煙エコー. 火山噴火予知連絡会会報, 130, 292-298.

1*

Nakano, H., H. Tsujino, K. Sakamoto, S. Urakawa, T. Toyoda, and G. Yamanaka,
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2豊田隆寛, 岩本勉之, 浦川昇吾, 辻野博之, 中野英之, 坂本圭, 山中吾郎, 小室芳樹, 西
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3*

Toyoda, T., N. Hirose, L. S. Urakawa, H. Tsujino, H. Nakano, N. Usui, Y. Fujii, K.
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直江寛明

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1*

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TAKAYABU, 2019: Meteorological overview and mesoscale characteristics of

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長岡 優

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武尾実, 大湊隆雄, 前野深, 篠原雅尚, 馬場聖至, 渡邉篤志, 市原美恵, 西田究, 金子隆
之, 安田敦, 杉岡裕子, 浜野洋三, 多田訓子, 中野俊, 吉本充宏, 高木朗充, 長岡
優, 2018: 西之島の地球物理観測と上陸調査. 海洋理工学会誌, 24, 45-56,
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2

Wada, A., H. Yoshimura, and M. Nakagawa, 2018: Sensitivity of the prediction of
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3

H. Yonehara, R. Sekiguchi, T. Kanehama, K. Saitou, T. Kinami, A. Shimokobe, D.
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長澤亮二

1

H. Yonehara, R. Sekiguchi, T. Kanehama, K. Saitou, T. Kinami, A. Shimokobe, D.
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中田健嗣

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Nakata, K., Y. Hayashi, H. Tsushima, K. Fujita, Y. Yoshida, and A. Katsumata,2019: Performance of uniform and heterogeneous slip distributions for themodeling of the November 2016 off Fukushima earthquake and tsunami,
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2*

Nakata K., A. Kobayashi, A. Katsumata, F. Hirose, T. Nishimiya, K. Kimura, H.
Tsushima, K. Maeda, H. Baba, N. Hanamura, C. Yamada, and M. Kanezashi,
2019: Double seismic zone and seismicity in the mantle wedge beneath the
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Earth, Planets and Space, 71, 29, doi:10.1186/s40623-019-1012-z.

1*

Hoshiba, Y., T. Hirata, M. Shigemitsu, H. Nakano, T. Hashioka, Y. Masuda, and Y.
Yamanaka, 2018: Biological data assimilation for parameter estimation of aphytoplankton functional type model for the western North Pacific. Ocean
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2*

Nakano, H., H. Tsujino, K. Sakamoto, S. Urakawa, T. Toyoda, and G. Yamanaka,
2018: Identification of the fronts from the Kuroshio Extension to the Subarctic
Current using absolute dynamic topographies in satellite altimetry products.
Journal of Oceanography, 74, 393-420, doi:10.1007/s10872-018-0470-4.

3*Tsujino, H., S. Urakawa, H. Nakano, Y. Harada, C. Kobayashi, S. Kobayashi, 他 25
名, 2018: JRA-55 based surface dataset for driving ocean–sea-ice models(JRA55-do). Ocean Modelling, 130, 79-139, doi:10.1016/j.ocemod.2018.07.002.

4*

Suzuki, T., D. Yamazaki, H. Tsujino, Y. Komuro, H. Nakano, S. Urakawa, 2018: A
dataset of continental river discharge based on JRA-55 for use in a global
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5*

坂本圭, 辻野博之, 中野英之, 浦川昇吾, 山中吾郎, 2018: Git と Redmine を用いた気象研究所共用海洋モデル「MRI.COM」の開発管理. 海の研究, 27, 175-188.

6

豊田隆寛, 岩本勉之, 浦川昇吾, 辻野博之, 中野英之, 坂本圭, 山中吾郎, 小室芳樹, 西
野茂人, 浮田甚郎, 2019: 衛星観測の薄氷データを用いた海洋・海氷シミュレーシ
ョンの改善. 月刊海洋, 51, 121-127.

7*

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
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8*

Ishizaki, H., T. Nakano, H. Nakano, and G. Yamanaka, 2019: Interdecadal
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1

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2*

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西宮隆仁

1*

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2019: Double seismic zone and seismicity in the mantle wedge beneath the
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庭野匡思

1*

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2*

Onuma, Y., N. Takeuchi, S. Tanaka, N. Nagatsuka, M. Niwano, and T. Aoki, 2018:
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3

Hashimoto, A., M. Niwano, S. Yamaguchi, T. Yamasaki and T. Aoki, 2018:
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4*

Takeuchi, N., R. Sakaki, J. Uetake, N. Nagatsuka, R. Shimada, M. Niwano, T. Aoki,
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5

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6*黒崎 豊，的場澄人，飯塚芳徳，庭野匡思，谷川朋範，青木輝夫, 2018: バフィン湾周辺の環境がグリーンランド北西部の降雪中の d-excess と化学成分に与える影響. 雪
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Krinner, G. et al. , 2018: ESM-SnowMIP: assessing snow models and quantifying
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8

Yamaguchi, S., S. Matoba, M. Niwano, T. Aoki, and K. Kosugi, 2018: Database oflong-term meteorological and snow-pit observations in Japan. International
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1*

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2

川瀬宏明, 飯田肇, 青木一真, 島田亙, 野坂真也, 村田昭彦, 佐々木秀孝, 2019: 立山黒部アルペンルートにおける積雪観測と異なる水平解像度の非静力学地域気候モデ
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Hashimoto, A., M. Niwano, S. Yamaguchi, T. Yamasaki and T. Aoki, 2018:
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4森健彦, 篠原英一郎, 菅井明, 滿永大輔, 橋本明弘, 山本圭吾, 2018: 二酸化硫黄放出率の自動計測化へ向けた実証実験 ―火山ガス拡散モデルからの二酸化硫黄放出率
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Yamaguchi, S., M. Ishizaka, H. Motoyoshi, S. Nakai, V. Vincent, T. Aoki, K.
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Kajino, M., M. Deushi, T. T. Sekiyama, N. Oshima, K. Yumimoto, T. Y. Tanaka, J.
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Three dimensional radio images of winter lightning in Japan andcharacteristics of associated charge structure. IEEJ Transactions on Electricaland Electronic Engineering, 14, 175-184, doi:10.1002/tee.22795.
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古 林 慎 哉, 原 田 昌, 小 林 ちあき, 原 田 やよい, 大 島 和 裕, 中 村 尚, 福 井真, 藤 原 正 智, 山 崎 哲, 芳 村 圭, 2018: 第５回再解析国際会議報告. 天気,
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Tsujino, H., S. Urakawa, H. Nakano, Y. Harada, C. Kobayashi, S. Kobayashi, 他 25
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Toyoda, T., N. Hirose, L. S. Urakawa, H. Tsujino, H. Nakano, N. Usui, Y. Fujii, K.
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弘瀬冬樹

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Nakata K., A. Kobayashi, A. Katsumata, F. Hirose, T. Nishimiya, K. Kimura, H.
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藤田健一

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Nakata, K., Y. Hayashi, H. Tsushima, K. Fujita, Y. Yoshida, and A. Katsumata,2019: Performance of uniform and heterogeneous slip distributions for themodeling of the November 2016 off Fukushima earthquake and tsunami,
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保坂征宏

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Hotta, D and M. Ujiie, 2018: A nestable, multigrid-friendly grid on a sphere for
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2

H.Yamaguchi, D.Hotta, T.Kanehama, K.Ochi, Y.Ota, R.Sekiguchi, A.Shimpo,
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3

H. Yonehara, R. Sekiguchi, T. Kanehama, K. Saitou, T. Kinami, A. Shimokobe, D.
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Yumimoto, K., T. Y. Tanaka, M.Yoshida, M. Kikuchi, T. M. Nagao, H. Murakami,
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Kajino, M., M. Deushi, T. T. Sekiyama, N. Oshima, K. Yumimoto, T. Y. Tanaka, J.
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Mashiko, W., 2019: A statistical study of wind gusts in Japan using surface
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水野吉規

村田昭彦

毛利英明

2*

Umezawa, T., H. Matsueda, Y. Sawa, Y. Niwa, T. Machida, and L. Zhou, 2018:
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3

高辻慎也, 川﨑照夫, 中村雅道, 齊藤和幸, 滝沢厚詩, 出原幸志郎, 細川周一, 松枝秀和, 坪井一寛, 2018: 気象庁メタン標準ガス較正装置の更新と新旧データの比較.
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4*Matsueda, H., K. Tsuboi, S. Takatsuji, T. Kawasaki, M. Nakamura, K. Saito, A.
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1*

S. Noda, K. Kodera, Y. Adachi, M. Deushi, A. Kitoh, R. Mizuta, S. Murakami, K.
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2*

Yoshida, K., R. Mizuta, and O. Arakawa, 2018: Intermodel differences in upwellingin the tropical tropopause layer among CMIP5 models. Journal of GeophysicalResearch Atmosphere, 123, 13,658–13,675, doi:10.1029/2018JD029044.

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Fujita, M., R. Mizuta, M. Ishii, H. Endo, T. Sato, Y. Okada, S. Kawazoe, S.
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Mizuno, Y., T. Yagi, and K. Mori, 2018: Contribution of attached eddies to theintensity and turbulent transfer of velocity fluctuations in wall-turbulence.
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2*

Ooi, K., Y. Mizuno, T. Sogabe, Y. Yamamoto, and S.-L. Zhang, 2018: Solution of anonlinear eigenvalue problem using signed singular values. East Asian
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Kawase, H., T. Sasai, T. Yamazaki, R. Ito, K. Dairaku, S. Sugimoto, H. Sasaki, A.
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村田昭彦, 2018: 雲解像地域気候モデルの現状. 混相流, 32, 424-431,
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3

川瀬宏明, 飯田肇, 青木一真, 島田亙, 野坂真也, 村田昭彦, 佐々木秀孝, 2019: 立山黒部アルペンルートにおける積雪観測と異なる水平解像度の非静力学地域気候モデ
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守永武史, 毛利英明, 八木俊政, 森一安, 萩野谷成徳, 2018: 境界層乱流における安定成
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Mouri, H., T. Morinaga, S. Haginoya, 2019: Unlikely existence of k_x^{-1} spectral
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Terada, A., Y. Morita, T. Hashimoto, T. Mori, T. Ohba, M. Yaguchi, and W. Kanda,
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2*

Minoru Kusakabe, Rosine E. Tiodjio, Bruce Christenson, Kazuto Saiki, Takeshi
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3*

Kaori Seki, Takeshi Ohba, Shinnosuke Aoyama, Yuichiro Ueno, Hirochika Sumino,
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4

大場武，西野佳奈，沼波望, 谷口無我, 外山浩太郎，角野浩史, 寺田暁彦，神田径, 2019:
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大場武，西野佳奈，沼波望, 谷口無我, 2019: 伊豆大島三原山噴気に検出された水素ガ
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6

谷口無我, 大場武, 福岡管区気象台, 鹿児島地方気象台, 2019: 霧島山硫黄山周辺の湯溜り･湧水の化学組成(2018 年 10 月 19 日現在). 火山噴火予知連絡会会報, 131,360-363.

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大場武, 西野佳奈, 沼波望, 谷口無我, 外山浩太郎, 角野浩史, 2019: 霧島硫黄山噴気の化学組成（2018 年 10 月 19 日）および環境大気 H2S 濃度変化. 山噴火予知連絡会会報, 131, 360-363.

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Tochimoto, E., S. Yokota, H. Niino and W. Yanase, 2019: Mesoscale convective vortex
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伊藤耕介, 沢田雅洋, 山口宗彦, 2018: 高解像度大気モデル及び大気海洋結合モデルを用いた北西太平洋全域台風予測実験. 気象研究所研究報告, 67, 15-34,
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3*Ito, K., H. Yamada, M. Yamaguchi, T. Nakazawa, N. Nagahama, K. Shimizu, T.
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Yamaguchi, M., H. Owada, U. Shimada, M. Sawada, T. Iriguchi, K. D. Musgrave,and M. DeMaria, 2018: Tropical Cyclone Intensity Prediction in the Western
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5*Zhou, F., W. Duan, Z. He, and M. Yamaguchi, 2018: Possible Sources of Forecast
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筆保弘徳, 山田広幸, 宮本佳明, 伊藤耕介, 山口宗彦, 金田幸恵, 2018: 台風についてわ
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Shimada, U., H. Owada, M. Yamaguchi, T. Iriguchi, M. Sawada, K. Aonashi, M.
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山口宗彦, 嶋田宇大, 沢田雅洋, 入口武史, 大和田浩美, 2019: 台風予報・解析技術高度化プロジェクトチームによる 5 日先台風強度予報ガイダンスの開発. 気象研究所
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Uchiyama, A., B. Chen, A. Yamazaki, G. Shi, R. Kudo, C. Nishita-Hara, M.
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2*

Jin Y., N. Sugimoto, A. Shimizu, T. Nishizawa, K. Kai, K. Kawai, A. Yamazaki, M.
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Uchiyama, A., T. Matsunaga, and A. Yamazaki, 2018: The instrument constant ofsky radiometers (POM-02) – Part 1: Calibration constant . AtmosphericMeasurement Techniques, 11, 5363–5388.

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Uchiyama, A., T. Matsunaga, and A. Yamazaki, 2018: The instrument constant ofsky radiometers (POM-02) – Part 2: Solid view angle . AtmosphericMeasurement Techniques, 11, 5389-5402.

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Campbella L. S., W. J. Steenburgh, Y. Yamada, M. Kawashima, and Y. Fujiyoshi,
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2*

Ohtake, H., F. Uno, T. Oozeki, Y. Yamada, H. Takenaka, T. Y. Nakajima, 2018:
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mesoscale model. Energies, 11, 2714, doi:10.3390/en11102714.

3*

Ohtake, H., F. Uno, T. Oozeki, Y. Yamada, H. Takenaka, and T. Y. Nakajima, 2018:
Estimation of satellite-derived regional photovoltaic power generation using asatellite-estimated solar radiation data. Energy Science & Engineering, 6,
570-583, doi:10.1002/ese3.233.
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4③ 大竹秀明, 宇野史睦, 大関 崇, 山田芳則, 2018: 最新の気象庁現業数値予報モデルの日射量予測の検証. 電気学会論文誌 B, 138, 881-892.

1*

Nakano, H., H. Tsujino, K. Sakamoto, S. Urakawa, T. Toyoda, and G. Yamanaka,
2018: Identification of the fronts from the Kuroshio Extension to the Subarctic
Current using absolute dynamic topographies in satellite altimetry products.
Journal of Oceanography, 74, 393-420, doi:10.1007/s10872-018-0470-4.

2*

坂本圭, 辻野博之, 中野英之, 浦川昇吾, 山中吾郎, 2018: Git と Redmine を用いた気象研究所共用海洋モデル「MRI.COM」の開発管理. 海の研究, 27, 175-188.

3

豊田隆寛, 岩本勉之, 浦川昇吾, 辻野博之, 中野英之, 坂本圭, 山中吾郎, 小室芳樹, 西
野茂人, 浮田甚郎, 2019: 衛星観測の薄氷データを用いた海洋・海氷シミュレーシ
ョンの改善. 月刊海洋, 51, 121-127.

4*

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,
doi:10.1175/MWR-D-18-0198.1. (in press)

5*

Ishizaki, H., T. Nakano, H. Nakano, and G. Yamanaka, 2019: Interdecadal
variability of the North Equatorial Undercurrent (NEUC) found in the
longterm hydrographic observation along 137 ºE. Journal of Oceanography,
doi:10.1007/s10872-019-00509-6. (in press)

1

山本哲, 2018: 地球の反対側で気象学史：第 25 回国際科学史会議に参加して. 天気, 65,
425-429.

2

YAMAMOTO, A., 2018: Henry Batson Joyner (1839-1884), weather observer inEngland, Japan and Brazil. Japanese Association for the History of
Geosciences Newsletter, 20, 3-6.

3

山本哲, 2018: 「野中千代子は気象学会の会員だったか？」－40 年前に示された答. 天気, 65, 601-603.

4*

川端康弘, 山本哲, 志藤文武, 清野直子, 2018: 観測環境の違いによる気温の鉛直分布と変動の特徴について. 風工学シンポジウム論文集, 25, 139-144.

山本哲也

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., 2018: 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.

横田 祥

1*

Yokota, S., H. Niino, H. Seko, M. Kunii, and H. Yamauchi, 2018: Important factors
for tornadogenesis as revealed by high-resolution ensemble forecasts of the
Tsukuba supercell tornado of 6 May 2012 in Japan. Monthly Weather Review,
146, 1109-1132, doi:10.1175/MWR-D-17-0254.1.

2

横田祥, 瀬古弘, 國井勝, 山内洋, 2018: LETKF ネストシステムによる稠密観測データの同化実験―2012 年 5 月 6 日に関東地方で発生した竜巻の事例について―. 気象
研究ノート「都市における極端気象の観測・予測・情報伝達」, 236, 242-249.

3*

Yokota, S., H. Seko, M. Kunii, H. Yamauchi, and E. Sato, 2018: Improving
short-term rainfall forecasts by assimilating weather radar reflectivity using
additive ensemble perturbations. Journal of Geophysical Research

山中吾郎

山本 哲

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6.1. 論文等

Atmosphere, 123, 9047-9062, doi:10.1029/2018JD028723.

吉田康平

吉田 智

4

鵜沼昂, 吉住蓉子, 春日悟, 下瀬健一, 加藤亮平, 栃本英伍, 渡邉俊一, 末木健太, 津口裕茂, 横田祥, 2018: 第 5 回メソ気象セミナー開催報告. 天気, 65, 757-763.

5横田祥, 新野宏, 瀬古弘, 國井勝, 山内洋, 2019: データ同化とアンサンブル予報による竜巻発生過程の解析. ながれ, 38-1, 8-13.

6*大谷修一, 仲田直樹, 石本歩, 秋枝周子, 風早範彦, 西森靖高, 中村剛, 依岡幸広, 立神
達朗, 岩田奉文, 瀬古弘, 横田祥, 2019: 下層インフローに着目した大雨と環境場との関係に関するアンサンブル予報実験による解析 ―平成 26 年 8 月 19～20 日に発生した広島県南部の大雨事例―. 天気（論文・短報）, 66, 141-160.

7

横田祥, 新野宏, 瀬古弘, 國井勝, 山内洋, 2019: 竜巻のアンサンブル予報. 気象研究ノート「竜巻を識る」. (in press)

8

横田祥, 新野宏, 瀬古弘, 國井勝, 山内洋, 佐藤英一, 2019: 高解像度アンサンブル予報を用いた竜巻の発生要因の解析. 月刊海洋号外「新野宏教授退職記念号」. (inpress)

9*

Tochimoto, E., S. Yokota, H. Niino and W. Yanase, 2019: Mesoscale convective vortex
that causes tornado-like vortices over the sea: A potential risk to maritime
traffic. Monthly Weather Review, doi:10.1175/MWR-D-18-0302.1. (in press)

1*

C. Orbe et al., 2018: Large-scale tropospheric transport in the Chemistry–Climate
Model Initiative (CCMI) simulations. Atmospheric Chemistry and Physics, 18,
7217-7235, doi:10.5194/acp-18-7217-2018.

2*

S. Noda, K. Kodera, Y. Adachi, M. Deushi, A. Kitoh, R. Mizuta, S. Murakami, K.
Yoshida, and S. Yoden, 2018: Mitigation of global cooling by stratosphericchemistry feedbacks in a simulation of the Last Glacial Maximum. Journal ofGeophysical Research Atmosphere.

3*

B. Ayarzagüena et al, 2018: No Robust Evidence of Future Changes in Major
Stratospheric Sudden Warmings: A Multi-model Assessment from CCMI.
Atmospheric Chemistry and Physics, 18, 11277-11287,
doi:10.5194/acp-18-11277-2018.

4*

Maycock, A. C., Matthes, K., Tegtmeier, S., Schmidt, H., Thiéblemont, R., Hood, L.,
Bekki, S., Deushi, M., Jöckel, P., Kirner, O., Kunze, M., Marchand, M., Marsh,
D. R., Michou, M., Revell, L. E., Rozanov, E., Stenke, A., Yamashita, Y., andYoshida, K., 2018: The representation of solar cycle signals in stratosphericozone. Part 2: Analysis of global models. Atmospheric Chemistry and Physics,
18, 11323-11343, doi:10.5194/acp-18-11323-2018.

5*

Yoshida, K., R. Mizuta, and O. Arakawa, 2018: Intermodel differences in upwellingin the tropical tropopause layer among CMIP5 models. Journal of GeophysicalResearch Atmosphere, 123, 13,658–13,675, doi:10.1029/2018JD029044.

1

吉田智, 2018: 雷放電の電磁波観測技術. 大気電気学会誌, Vol. 12 No. 1, 32-44.

2*

Sakai, T., T. Nagai, T. Izumi, S. Yoshida, and Y. Shoji, 2019: Automated compact
mobile Raman lidar for water vapor measurement: instrument description andvalidation by comparison with radiosonde, GNSS, and high-resolution
objective analysis. Atmospheric Measurement Techniques, 12, 313-326,
doi:10.5194/amt-12-313-2019.

3*

Yoshida, S., E. Yoshikawa, T. Adachi, K. Kusunoki, S. Hayashi, and H. Inoue, 2019:
Three dimensional radio images of winter lightning in Japan andcharacteristics of associated charge structure. IEEJ Transactions on Electrical- 494 -

6. 成果発表

6.1. 論文等

and Electronic Engineering, 14, 175-184, doi:10.1002/tee.22795.
吉村裕正

和田章義

1

Wada, A., H. Yoshimura, and M. Nakagawa, 2018: Sensitivity of the prediction of
Typhoon Lionrock (2016) to the parameter in the cloud scheme using the 7-km
mesh nonhydrostatic global spectral atmospheric Double Fourier Series Model(DFSM). Research Activities in Atmospheric and Oceanic Modelling, 48, 4-11.

2

Wada, A., H. Yoshimura, and M. Nakagawa, 2018: Sensitivity of the prediction of
Typhoon Lionrock (2016) to the surface boundary scheme using the 7-km
mesh nonhydrostatic global spectral atmospheric Double Fourier Series Model(DFSM). Research Activities in Atmospheric and Oceanic Modelling, 48, 4-13.

1

Wada, A., H. Yoshimura, and M. Nakagawa, 2018: Sensitivity of the prediction of
Typhoon Lionrock (2016) to the parameter in the cloud scheme using the 7-km
mesh nonhydrostatic global spectral atmospheric Double Fourier Series Model(DFSM). Research Activities in Atmospheric and Oceanic Modelling, 48, 4-11.

2

Wada, A., H. Yoshimura, and M. Nakagawa, 2018: Sensitivity of the prediction of
Typhoon Lionrock (2016) to the surface boundary scheme using the 7-km
mesh nonhydrostatic global spectral atmospheric Double Fourier Series Model(DFSM). Research Activities in Atmospheric and Oceanic Modelling, 48, 4-13.

3

Wada, A., H. Tsuguti, and H. Yamada, 2018: Formation and propagation ofshield-like precipitation pattern in the Eastern China Sea remotely enhanced
by Typhoon Nepartak (2016) simulated by an atmosphere-wave-ocean coupledmodel. Research Activities in Atmospheric and Oceanic Modelling, 48, 5-13.

4

Wada, A., and N. Seino, 2018: Numerical simulations on a local heavy rainfall event
south of Kanto region by using a coupled atmosphere-wave-ocean model withthe regional air-sea coupled data assimilation system based on NHM-LETKF.
Research Activities in Atmospheric and Oceanic Modelling, 48, 9-03.

5*Wada, A., S. Kanada, and H. Yamada, 2018: Effect of air-sea environmental
conditions and interfacial processes on extremely intense typhoon Haiyan(2013). Journal of Geophysical Research Atmosphere, 123, 10379-10405,
doi:10.1029/2017JD028139.

6*

Wada, A., and R. Oyama, 2018: Relation of convective bursts to changes in theintensity of Typhoon Lionrock (2016) during the decay phase simulated by anatmosphere-wave-ocean coupled model. Journal of the Meteorological Societyof Japan, 96, 489-509, doi:10.2151/jmsj.2018-052.

7

和田章義, R. P.Gile, 嶋田宇大, 佐藤信夫, 青梨和正, 山田広幸, 2019: 非静力学モデルによるフィリピン来襲台風の降水予測可能性. 台風研究会 大規模・広域・複合
台風災害の発生要因の理解と減災に向けて, 30K-03, 53-58.

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