150-year continuoussimulation with 60km AGCM and20km NHRCM by TOUGOU program
1. IDENTIFICATION INFORMATION
Name

150-year continuous simulation with 60km AGCM and 20km NHRCM by TOUGOU program

DOI

doi:10.20783/DIAS.650 [https://doi.org/10.20783/DIAS.650]

Metadata
Identifier

GCM60_NHRCM20_150yr_TOUGOU20230727103906-DIAS20221121113753-en

2. CONTACT
2.1 CONTACT on DATASET
Name

Meteorological Researcn Institute

Organization

Integrated Research Program for Advancing Climate Models

E-mailtakayabu@mri-jma.go.jp, rmizuta@mri-jma.go.jp, snosaka@mri-jma.go.jp2.2 CONTACT on PROJECT
2.2.1 Data Integration and Analysis System
Name

DIAS Office

Organization

Japan Agency for Marine-Earth Science and Technology

Address

3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan

E-maildias-office@diasjp.net

3. DOCUMENT AUTHOR
Name

Ryo Mizuta

Organization

Integrated Research Program for Advancing Climate Models

E-mailrmizuta@mri-jma.go.jp, snosaka@mri-jma.go.jp

4. DATASET CREATOR
Name

Meteorological Researcn Institute

Organization

Program for Risk Information on Climate Change

E-mailrmizuta@mri-jma.go.jp, snosaka@mri-jma.go.jp15. DATE OF THIS DOCUMENT
2023-07-27

6. DATE OF DATASET
�publication : 2022-11-1_

7. DATASET OVERVIEW
7.1 Abstract
This is the dataset simulated by high resolution atmospheric global climate model (AGCM) with 60km
horizontal resolution, and dynamical downscaling to Japanese region by regional climate model (RCM)with 20km horizontal resolution. The dataset is continuous one from the middle of 20th century to
the end of 21th century, consists of the past climate (4 members of initial value ensemble) andthe future climate (4 emission scenarios of the RCP2.6/4.5/6.0/8.5).
The continuous high-resolution simulations enable to estimate how meteorological events change fromthe past to the end of the 21st century, and to estimate when changes due to global warming become
more pronounced than natural variability.

7.2 Topic Category(ISO19139)
�climatologyMeteorologyAtmosphere

7.3 Temporal Extent
Begin Date

1950-01-01

End Date

2099-12-31

Temporal
Characteristics

1/3/6/12 hourly, daily and monthly

7.4 Geographic Bounding Box
Northlatitudebound 48West
longitudebound 110

Eastboundlongitude

160

South
latitudebound 21

7.5 Grid
Dimension NameDimension
Size Resolution Unit
(slice number ofthe dimension)row

GCM:60, NHRCM:20 (km)columnGCM:60, NHRCM:20 (km)2vertical24

GCM:1000, 925, 850, 700, 600, 500, 400, 300, 250, 200, 150,100, 70, 50, 30, 20, 15, 10, 7, 5, 3, 2, 1, 0.5 (hPa)

7.6 Geographic Description
7.7 Keywords
7.7.1 Keywords on Dataset
Keyword Type

Keyword

Keyword
Name

theme

GLOBAL CHANGE > Global climate models, GLOBAL CHANGE > AGU
Regional climate change

theme

ATMOSPHERIC PROCESSES > Global climate models, ATMOSPHERIC AGU
PROCESSES > Regional modelingthesaurus

7.7.2 Keywords on Project
7.7.2.1 Data Integration and Analysis System
Keyword Type

Keyword

KeywordNamethesaurus

theme

DIAS &amp;gt; Data Integration and Analysis System

No_Dictionary

7.8 Online Resource�file download : https://data.diasjp.net/dl/storages/filelist/dataset:650

7.9 Data Environmental Information
GCM60/ 60km global model output HPD, HPD_m01 - m04 historical simulation (1950-2014) initial-value
ensemble HFD_HighResMIP RCP8.5 scenario simulation (2015-2099, after HPD) HFD_rcp26 RCP2.6 scenario
simulation (2015-2099, after HPD_m01) HFD_rcp45 RCP2.6 scenario simulation (2015-2099, afterHPD_m02) HFD_rcp60 RCP2.6 scenario simulation (2015-2099, after HPD_m03) NHRCM20/ 20km regionalmodel output RCP2.6/ downscaling from HPD_m01,HFD_rcp26 RCP4.5/ downscaling from HPD_m02,HFD_rcp45
RCP6.0/ downscaling from HPD_m03,HFD_rcp60 RCP8.5/ downscaling from HPD,HFD_HighResMIP Note that HPD
and HFD_HighResMIP of GCM60 are the same as "highresSST-present" and "highresSST-future" experimentswith MRI-AGCM3-2-H published at the CMIP6 archive.

7.10 Distribution Information
nameversion

specification

binaryN/Abinary with grads control files

grib1

8. DATA PROCESSING39. DATA REMARKS
10. DATA POLICY
10.1 Data Policy by the Data Provider
This dataset was produced by Meteorological Research Institute of Japan Meteorological Agency, under
the support of the Integrated Research Program for Advancing Climate Models (TOUGOU, FY2017-2021)
and the Data Integration and Analysis System (DIAS), funded by the Ministry of Education, Culture,Sports, Science and Technology (MEXT). The Earth Simulator was used for building up the dataset.
Users can access the dataset via the data server maintained by DIAS.
Terms and Conditions:
1. Individual users must register their name, affiliation, email-address and purpose of use before
access to the database will be permitted.
2. Individual users should not redistribute the data to any third party.
3. The source of the database should be duly acknowledged in scientific and technical papers,
publications, press releases and other communications in case of using the data.
Example:This study used data produced with the Earth Simulator by the Integrated Research Program for
Advancing Climate Models (TOUGOU) from the Ministry of Education, Culture, Sports, Science andTechnology (MEXT), Japan.
Disclaimer:
Meteorological Research Institute of Japan Meteorological Agency is not responsible for any damage
that may result from the use of this dataset. The intellectual property rights of the dataset belong
exclusively to Meteorological Research Institute of Japan Meteorological Agency.

10.2 Data Policy by the Project
10.2.1 Data Integration and Analysis System
If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/)
and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply.
If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider'spolicy shall prevail.

11. LICENSE
12. DATA SOURCE ACKNOWLEDGEMENT4

12.1 Acknowledge the Data Provider
This study used data produced with the Earth Simulator by the Integrated Research Program for
Advancing Climate Models (TOUGOU) from the Ministry of Education, Culture, Sports, Science andTechnology (MEXT), Japan.

12.2 Acknowledge the Project
12.2.1 Data Integration and Analysis System
If you plan to use this dataset for a conference presentation, paper, journal article, or reportetc., please include acknowledgments referred to following examples. If the data provider describes
examples of acknowledgments, include them as well.
" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset
was also collected and provided under the Data Integration and Analysis System (DIAS), which wasdeveloped and operated by a project supported by the Ministry of Education, Culture, Sports, Scienceand Technology. "13. REFERENCES
Mizuta, R., M. Nosaka, T. Nakaegawa, H. Endo, S. Kusunoki, A. Murata, and I. Takayabu, 2022: Extreme
precipitation in 150-year continuous simulations by 20-km and 60-km atmospheric general circulation
models with dynamical downscaling over Japan by a 20-km regional climate model. J. Meteor. Soc.
Japan, 100, 523-532. doi:10.2151/jmsj.2022-026.
Mizuta, R., H. Yoshimura, H. Murakami, M. Matsueda, H. Endo, T. Ose, K. Kamiguchi, M. Hosaka, M.
Sugi, S. Yukimoto, S. Kusunoki, and A. Kitoh, 2012: Climate simulations using MRI-AGCM3.2 with 20km grid. J. Meteor. Soc. Japan, 90A, 233-258, doi:10.2151/jmsj.2012-A12.
Murata, A., H. Sasaki, H. Kawase, M. Nosaka, M. Oh'izumi, T. Kato, T. Aoyagi, F. Shido, K. Hibino,S. Kanada, A. Suzuki-Parker, and T. Nagatomo, 2015: Projection of future climate change over Japanin ensemble simulations with a high-resolution regional climate model. SOLA, 11, 90-94.

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