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


IDENTIFICATION INFORMATION

Name Dynamical Regional Downscaling Using the JRA-55 Reanalysis (DSJRA-55)
Metadata Identifier DSJRA5520170509170341-DIAS20170508134353-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 The Earth Observation Data Integration and Fusion Research Initiative (EDITORIA), The University of Tokyo
Address 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan
E-mail dias-office@diasjp.net

DOCUMENT AUTHOR

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

DATASET CREATOR

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

DATE OF THIS DOCUMENT

2017-05-09

DATE OF DATASET

  • publication : 2017-03-13

DATASET OVERVIEW

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.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

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

Geographic Bounding Box

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

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)

Keywords

Keywords on Dataset

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

Keywords on Project

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

Online Resource

Distribution Information

name version specification
GRIB 2

USE CONSTRAINTS

Data Policy by 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.

Data Policy for Project

Data Integration and Analysis System

1. With regard to Data policy, if there is any data policy indicated by the data provider, that policy always has priority over this DIAS data policy.

2. DIAS data sets are to be used only for scientific research or educational purposes [*1].

3. Any modification or change of the original DIAS data sets is prohibited.

4. Any Re-export or transfer of the original data sets to a third party is prohibited.

5. The origin of DIAS data being used for any publication of scientific results must be acknowledged and referenced in the publication, with the “quotation” given below as an acknowledgement.

6. Whenever DIAS data sets are used for publication of scientific results, the author(s) shall send a copy of the respective publication, preferably in an electronic form or in a separate printed version, to the DIAS CONTACTS as indicated below.

E-mail: dias-office@diasjp.net

Earth Observation Data Integration & Fusion Research Initiative (EDITORIA),

The University of Tokyo.

4-6-1 Komaba, Meguro-ku, Tokyo 153-8505 JAPAN

[*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 [R-dias3@restec.or.jp] for more details.

Disclaimer for 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.

ACKNOWLEDGEMENT

Dataset Acknowledgement

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).

Project Acknowledgement

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)."

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.


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