Dynamical Regional Downscaling Using the JRA-55 Reanalysis (DSJRA-55)


1. IDENTIFICATION INFORMATION

Name Dynamical Regional Downscaling Using the JRA-55 Reanalysis (DSJRA-55)
Metadata Identifier DSJRA5520230727074847-DIAS20221121113753-en

2. CONTACT

2.1 CONTACT on DATASET

Name Numerical Prediction Division, Information Infrastructure Department
Organization Japan Meteorological Agency
Address 3-6-9 Toranomon, Minato City, Tokyo, 105-8431, 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 Japan Agency for Marine-Earth Science and Technology
Address 3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan
E-mail dias-office@diasjp.net

3. DOCUMENT AUTHOR

Name Numerical Prediction Division, Information Infrastructure Department
Organization Japan Meteorological Agency

4. DATASET CREATOR

Name Numerical Prediction Division, Information Infrastructure Department
Organization Japan Meteorological Agency

5. DATE OF THIS DOCUMENT

2023-07-27

6. DATE OF DATASET

  • publication : 2017-03-13

7. DATASET OVERVIEW

7.1 Abstract

DSJRA-55 (Kayaba et al. 2016) is a dynamical regional downscaling using the Japanese 55-year Reanalysis (JRA-55, Kobayashi et al. 2015) dataset for initial and boundary conditions. The Japan Meteorological Agency (JMA) has conducted DSJRA-55 for the period from 1958 to 2012 to produce a climate dataset with a horizontal resolution of 5 km that appropriately represents phenomena associated with Japan's uneven terrain. DSJRA-55 is presented as a dataset helping to clarify climatic characteristics (such as trends of extreme phenomena) and supporting case studies on extreme events in Japan.

7.2 Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

7.3 Temporal Extent

Begin Date 1958-01-01
End Date 2012-12-31
Temporal Characteristics Hourly

7.4 Geographic Bounding Box

North bound latitude 48.8008
West bound longitude 107.498
Eastbound longitude 156.151
South bound latitude 19.6995

7.5 Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 721 5 (km)
column 577 5 (km)
vertical 16 25-100 (hPa)

7.6 Geographic Description

7.7 Keywords

7.7.1 Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Atmosphere GCMD_science
theme Models GCMD_platform
theme Climate, Weather GEOSS

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

7.8 Online Resource

7.9 Data Environmental Information

7.10 Distribution Information

name version specification
GRIB 2

8. DATA PROCESSING

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 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.

(4) Users should provide JMA with a copy of their scientific or technical papers, publications, press releases or other communications regarding the Products.

Disclaimer

Please note that although JMA has paid the closest attention to produce the Products, JMA assumes no responsibility regarding the reliability of the Products. JMA is not responsible to you for any damage that may be caused by the use of the Products on this site.

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's policy shall prevail.

11. LICENSE

12. DATA SOURCE ACKNOWLEDGEMENT

12.1 Acknowledge the Data Provider

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 provided from the Japan Meteorological Agency (JMA).

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 report etc., 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 was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. "

13. REFERENCES

Kayaba, N., T. Yamada, S. Hayashi, K. Onogi, S. Kobayashi, K. Yoshimoto, K. Kamiguchi, and K. Yamashita, 2016: Dynamical Regional Downscaling Using the JRA-55 Reanalysis (DSJRA-55). SOLA, 12, 1-5. http://doi.org/10.2151/sola.2016-001.

Kobayashi, S., Y. Ota, Y. Harada, A. Ebita, M. Moriya, H. Onoda, K. Onogi, H. Kamahori, C. Kobayashi, H. Endo, K. Miyaoka, and K. Takahashi , 2015: The JRA-55 reanalysis: general specifications and basic characteristics. J. Meteor. Soc. Japan, 93, 5-48. http://dx.doi.org/10.2151/jmsj.2015-001.