DIAS Japanese 25year ReAnalysis (JRA-25)
1. IDENTIFICATION INFORMATIONName

DIAS Japanese 25-year ReAnalysis (JRA-25)

Metadata
Identifier

JRA2520230727061932-DIAS20221121113753-en

2. CONTACT
2.1 CONTACT on DATASET
Name

Climate Prediction Division, Global Environment and Marine Department, Japan
Meteorological Agency

Address

1-3-4 Otemachi, Chiyoda-ku, Tokyo, 100-8122, Japan

E-mailjra@met.kishou.go.jp

2.2 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

Climate Prediction Division, Global Environment and Marine Department, JapanMeteorological Agency

Organization

Climate Prediction Division, Global Environment and Marine Department, Japan
Meteorological Agency

E-mailjra@met.kishou.go.jp

4. DATASET CREATOR
Name

The Japan Meteorological Agency (JMA) and the Central Research Institute ofElectric Power Industry (CRIEPI)

E-mailjra@met.kishou.go.jp

5. DATE OF THIS DOCUMENT
2023-07-27

1

6. DATE OF DATASET
�creation : 2010-06-22

7. DATASET OVERVIEW
7.1 Abstract
The Japan Meteorological Agency (JMA) and the Central Research Institute of Electric Power Industry(CRIEPI) jointly conducted the Japanese 25-year Reanalysis (JRA-25) project for five years from2001. Quality-controlled observational data from past decades and the latest numerical assimilationand prediction technology were used to produce a long-term record of the state of the atmosphere.
The reanalysis covers the 26-year period from 1979 to 2004, and provides consistent and high-quality
data. The JRA-25 product is widely used for research on meteorology and climatology, as well asfor operational climate monitoring and seasonal forecasting.
Period reanalyzed: from Jan. 1979 to Dec. 2004 (26 years)
Global model resolution : T106L40 (model top: 0.4hPa)
Data assimilation : 3D-Var
Numerical assimilation system : JMA's operational system of April 2004.
In addition, SSM/I PW, and TOVS radiance level 1c (SSU) and 1d (HIRS, MSU) were assimilated.

7.2 Topic Category(ISO19139)
�climatologyMeteorologyAtmosphere

7.3 Temporal Extent
Begin Date

1979-01-01

End Date

2004-12-31

7.4 Geographic Bounding BoxNorthlatitude

bound 90Westlongitudebound -180Eastboundlongitude

180

South
latitudebound -90

7.5 Grid
7.6 Geographic Description2

7.7 Keywords
7.7.1 Keywords on Dataset
Keyword Type

Keyword

KeywordNamethesaurus

theme

Climate

No_Dictionary

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

Keyword

KeywordName

thesaurus

theme

DIAS &amp;gt; Data Integration and Analysis System

No_Dictionary

7.8 Online Resource�JRA25 Top Page : http://jra.kishou.go.jp/JRA-25/index_en.html
�JRA25 Top Page (in Japanese) : http://jra.kishou.go.jp/JRA-25/index_jp.html
�file download : https://data.diasjp.net/dl/storages/filelist/dataset:140
�Quality issues (in English) : http://jra.kishou.go.jp/JRA-25/history/information_en.html
�Quality issues (in Japanese) : http://jra.kishou.go.jp/JRA-25/history/information.html

7.9 Data Environmental Information
7.10 Distribution Information
nameversiongrib

no informationspecification

8. DATA PROCESSING
8.1 Data Processing (1)8.1.1 General Explanation of the data producer's knowledge about thelineage of a dataset
8.1.2 Data Source
Data Source Citation Name

Description of derived parameters and processing
techniques used3

9. DATA REMARKS
10. DATA POLICY
10.1 Data Policy by the Data Provider(1)Users should provide user information including name, affiliation, e-mail address and purposeof data use.
(2)Users should not distribute the Products to any third party without JMA's priorconsent. Use of the Products for any commercial purposes is also prohibited.
(3)The source of the Products should be duly acknowledged in scientific or technical papers,
publications, press releases or other communications regarding the Products.
Example:The datasets used for this study are from the JRA-25 long-term reanalysis cooperative research
project carried out by the Japan Meteorological Agency (JMA) and the Central Research Instituteof Electric Power Industry (CRIEPI).

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 ACKNOWLEDGEMENT
12.1 Acknowledge the Data Provider
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 was4

developed and operated by a project supported by the Ministry of Education, Culture, Sports, Scienceand Technology. "13. REFERENCESOnogi, K., J. Tsutsui, H. Koide, M. Sakamoto, S. Kobayashi, H. Hatsushika, T. Matsumoto, N. Yamazaki,
H. Kamahori, K. Takahashi, S. Kadokura, K. Wada, K. Kato, R. Oyama, T. Ose, N. Mannoji and R. Taira(2007) : The JRA-25 Reanalysis. J. Meteor. Soc. Japan, 85, 369-432.
Onogi, K., H. Koide, M. Sakamoto, S. Kobayashi, J. Tsutsui, H. Hatsushika, T. Matsumoto, N. Yamazaki,
H. Kamahori, K. Takahashi, K. Kato, T. Ose, S. Kadokura and K. Wada 2005: JRA-25; Japanese 25-year
Reanalysis --- progress and status ---. Quart. J. R. Meteorol. Soc., 131, 3259-3268.
Hatsushika, H., J.Tsutsui, M.Fiorino, K.Onogi (2006) : Impact of wind profile retrievals on theanalysis of tropical cyclones in the JRA-25 reanalysis. J. Meteor. Soc. Japan, 84, 891-905.
Takahashi, K., N.Yamazaki, H.Kamahori (2006) : Trends of Heavy Precipitation Events in Global
Observation and Reanalysis Datasets. SOLA, 2, 96-99, doi:10.2151/sola.2006-025.
Watarai, Y., H. L. Tanaka (2007) : Characteristics of the JRA-25 Dataset from the Viewpoint ofGlobal Energetics. SOLA, 3, 9-12, doi:10.2151/sola.2007-003.
Ito, A. 2006. Simulation of global terrestrial carbon cycle using the JRA-25 reanalysis as forcing
data. SOLA 2:148-151.
Tosiyuki Nakaegwa: Reproducibility of the seasonal cycles of land-surface hydrological variables
in Japanese 25-year Reanalysis, Hydrological Research Letters, Vol. 2, pp.56-60, (2008).

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