DIAS Japanese 25-year ReAnalysis (JRA-25)


1. IDENTIFICATION INFORMATION

Name DIAS Japanese 25-year ReAnalysis (JRA-25)
Metadata Identifier JRA2520200901165522-DIAS20200901154929-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-mail jra@met.kishou.go.jp

2.2 CONTACT on PROJECT

2.2.1 Data Integration and Analysis System

Name DIAS Office
Organization Remote Sensing Technology Center of Japan
Address TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001, Japan
E-mail dias-office@diasjp.net

3. DOCUMENT AUTHOR

Name Climate Prediction Division, Global Environment and Marine Department, Japan Meteorological Agency
Organization Climate Prediction Division, Global Environment and Marine Department, Japan Meteorological Agency
E-mail jra@met.kishou.go.jp

4. DATASET CREATOR

Name The Japan Meteorological Agency (JMA) and the Central Research Institute of Electric Power Industry (CRIEPI)
E-mail jra@met.kishou.go.jp

5. DATE OF THIS DOCUMENT

2020-09-01

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 from 2001. Quality-controlled observational data from past decades and the latest numerical assimilation and 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 as for 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 Box

North bound latitude 90
West bound longitude -180
Eastbound longitude 180
South bound latitude -90

7.5 Grid

7.6 Geographic Description

7.7 Keywords

7.7.1 Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Climate No_Dictionary

7.7.2 Keywords on Project

7.7.2.1 Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary

7.9 Data Environmental Information

7.10 Distribution Information

name version specification
grib no information

8. DATA PROCESSING

8.1 General Explanation of the data producer's knowledge about the lineage of a dataset

8.2 Data Processing

Data Source Citation Name Description of derived parameters and processing techniques used

9. DATA REMARKS

10. LICENSE

10.1 Data Policy by the Data Provider

(1)Users should provide user information including name, affiliation, e-mail address and purpose of data use.

(2)Users should not distribute the Products to any third party without JMA's prior

consent. 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 Institute of 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/policy/) and DIAS Privacy Policy (https://diasjp.net/en/privacypolicy/) apply.

If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.

11. DATA SOURCE ACKNOWLEDGEMENT

11.1 Acknowledge the Data Provider

11.2 Acknowledge the Project

11.2.1 Data Integration and Analysis System

If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.

"We used the [name of dataset] provided by [name of data provider] in this study. This dataset was collected and provided under the Data Integration and Analysis System (DIAS, Project No. JPMXD0716808999), which has been developed and operated by the Ministry of Education, Culture, Sports, Science and Technology (MEXT)."

12. DISCLAIMER

12.1 Disclaimer of Project

12.1.1 Data Integration and Analysis System

If data provider does not have data policy, disclaimer of DIAS Terms of Service (https://diasjp.net/en/policy/) apply.

If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.

13. REFERENCES

Onogi, 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 the analysis 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 of Global 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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This project is supported by " Data Integration & Analysis System " funded by MEXT, Japan