DIAS Japanese 25-year ReAnalysis (JRA-25)


IDENTIFICATION INFORMATION

Name DIAS Japanese 25-year ReAnalysis (JRA-25)
Metadata Identifier JRA2520200401040800-DIAS20180903143952-en

CONTACT

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

CONTACT on PROJECT

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

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

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

DATE OF THIS DOCUMENT

2020-04-01

DATE OF DATASET

  • creation : 2010-06-22

DATASET OVERVIEW

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.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1979-01-01
End Date 2004-12-31

Geographic Bounding Box

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

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Climate No_Dictionary

Keywords on Project

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

Distribution Information

name version specification
grib no information

LICENSE

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).

Data Policy by the Project

Data Integration and Analysis System

The terms of data use of data providers take first priority over the DIAS data usage policy. In the event a data provider has not established terms of use, the following DIAS project data terms of use apply.

1. Users shall prioritize and abide by terms of use stipulated by a data provider in the event such exist

2. The use of DIAS data sets is limited to research and educational purposes [*1]

3. Users shall not modify the content of DIAS data sets

4. Users shall not provide the content of DIAS data sets to third parties

5. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall cite in parenthesis the text given as the data citation

6. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall submit a copy of the work (an offprint in the case of a paper, or a copy of the lecture summary in the case of an oral or poster presentation) to the DIAS office below

[*1] Data sets whose commercial usage are allowed under the data policy by data provider will be also allowed to be used commercially as DIAS data sets, after ongoing preparation works have been completed. Please contact the DIAS Office for more details.

[DIAS Office]

E-mail: dias-office@diasjp.net

Remote Sensing Technology Center of Japan

TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001

DATA SOURCE ACKNOWLEDGEMENT

Acknowledge the Project

Data Integration and Analysis System

Whenever DIAS dataset is used for any academic presentations, and any publication of scientific results, the author(s) shall specify the following acknowledgement and if the data provider has their own acknowledgement quotation, the author(s) shall use both acknowledgements.

"The DIAS dataset is archived and provided under the framework of the Data Integration and Analysis System (DIAS) funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT)."

DISCLAIMER

Disclaimer of Project

Data Integration and Analysis System

1. DIAS data provider is not liable for any losses or any damage when DIAS data sets are used.

2. DIAS data and related information are subject to change without any prior notice.

3. DIAS data sets provided are not supported for any additional processing or analysis.

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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