Climate projection dataset
in Japan with 2km-mesh NHRCM
by SOUSEI and TOUGOU programs
1. IDENTIFICATION INFORMATION
Name

Climate projection dataset in Japan with 2km-mesh NHRCM by SOUSEI and TOUGOU
programs

Metadata
Identifier

NHRCM02_SOUSEI20240827132734-DIAS20221121113753-en

2. CONTACT
2.1 CONTACT on DATASET
Name

Izuru Takayabu

Organization

Program for Risk Information on Climate Change (SOUSEI) and Integrated Research
Program for Advancing Climate Models (TOUGOU)

E-mailContact: amurata@mri-jma.go.jp

2.2 CONTACT on PROJECT
2.2.1 Data Integration and Analysis SystemName

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

Akihiko Murata

Organization

Program for Risk Information on Climate Change (SOUSEI) and Integrated Research
Program for Advancing Climate Models (TOUGOU)

E-mailamurata@mri-jma.go.jp

4. DATASET CREATOR
Name

Meteorological Researcn Institute1

Organization

Program for Risk Information on Climate Change (SOUSEI) and Integrated Research
Program for Advancing Climate Models (TOUGOU)

5. DATE OF THIS DOCUMENT
2024-08-27

6. DATE OF DATASET
�publication : 2017-10-30

7. DATASET OVERVIEW
7.1 Abstract(1) This is the dataset simulated by high resolution non-hydrostatic regional climate model of whichhorizontal grid spacing is 2km over Japan and surroundings. The dataset consists of the presentclimate (20 years) and the future climate over the end of the 21st century (20 years) under theRCP8.5 and RCP2.6 scenarios (4 members for each scenario).
(2) High resolution simulations enable to estimate the future change of extreme events, such astyphoons and localized torrential downpours, with high accuracy.
(3) This dataset provides the climate projections which adaptations against global warming are basedon in various fields, for example, disaster prevention, urban planning, environmental protection,and so on. It would realize the global warming adaptations consistent not only among issues but
also among regions.
Detailed information can be found in /NHRCM02_SOUSEI/SOUSEI_NHRCM_metadata_DIAS_5km_2km.pdf

7.2 Topic Category(ISO19139)
�climatologyMeteorologyAtmosphere

7.3 Temporal Extent
Begin Date

1980-09-01

End Date

2096-08-31

Temporal
Characteristics

Hourly7.4 Geographic Bounding Box
Northlatitudebound 40West
longitudebound 105

Eastboundlongitude

170

South
latitudebound 152

7.5 Grid
Dimension Name

Dimension
Size Resolution Unit
(slice number ofthe dimension)row

2 (km)

column2 (km)

columnfrom 40 to 904 (m)time

1 (hour)

7.6 Geographic Description
7.7 Keywords
7.7.1 Keywords on Dataset
Keyword Type

Keyword

Keyword
Name

theme

GLOBAL CHANGE > Regional climate change

AGU

theme

ClimateGEOSS

thesaurus

7.7.2 Keywords on Project
7.7.2.1 Data Integration and Analysis SystemKeyword TypeKeyword

KeywordNametheme

DIAS &amp;gt; Data Integration and Analysis System

No_Dictionary

7.8 Online Resource�file download : https://data.diasjp.net/dl/storages/filelist/dataset:591
�:
�:
�:

7.9 Data Environmental Information
7.10 Distribution Information
nameversion

grib

2

specification3

thesaurus

8. DATA PROCESSING
9. DATA REMARKS
10. DATA POLICY
10.1 Data Policy by the Data Provider
Data Release Policy of Climate Projection Data in Japan with 2km-mesh NHRCM by SOUSEI and TOUGOUPrograms
This dataset was produced by the joint project of Meteorological Research Institute of Japan
Meteorological Agency and The University of Tokyo, under the support of the Program for Risk
Information on Climate Change (SOUSEI, FY2012-2016), 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 wasused 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 Program for Risk Information on
Climate Change (SOUSEI) and Integrated Research Program for Advancing Climate Models (TOUGOU) from
the Ministry of Education, Culture, Sports, Science and Technology (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.

411. LICENSE12. DATA SOURCE ACKNOWLEDGEMENT
12.1 Acknowledge the Data Provider
This study used data produced with the Earth Simulator by the Program for Risk Information on
Climate Change (SOUSEI) and Integrated Research Program for Advancing Climate Models (TOUGOU) from
the Ministry of Education, Culture, Sports, Science and Technology (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 describesexamples 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(RCP8.5)
Murata, A., H. Sasaki, H. Kawase, M. Nosaka, T. Aoyagi, M. Oh'izumi, N. Seino, F. Shido, K. Hibino,K. Ishihara, H. Murai, S. Yasui, S. Wakamatsu, and I. Takayabu, 2017: Projection of future climatechange over Japan in ensemble simulations using a convection-permitting regional climate model withurban canopy. SOLA, 13, 219�223, doi:10.2151/sola.2017-040.

(RCP2.6)
Kawase, H., A. Murata, K. Yamada, T. Nakaegawa, R. Ito, R. Mizuta, M. Nosaka, S. Watanabe, H.
Sasaki, 2021: Regional characteristics of future changes in snowfall in Japan under RCP2.6 andRCP8.5 scenarios, SOLA, 17, 1�7, doi:10.2151/sola.2021-001.
Murata, A., H. Sasaki, H. Kawase, M. Nosaka, T. Aoyagi, M. Oh'izumi, N. Seino, F. Shido, K. Hibino,
K. Ishihara, H. Murai, S. Yasui, S. Wakamatsu, and I. Takayabu, 2017: Projection of future climatechange over Japan in ensemble simulations using a convection-permitting regional climate model withurban canopy. SOLA, 13, 219�223, doi:10.2151/sola.2017-040.

5