5-km regional climate downscaling for Japanese regoin using JRA-55


Citation for this dataset
Hiroaki Kawase. (2022). 5-km regional climate downscaling for Japanese regoin using JRA-55 [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.660
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IDENTIFICATION INFORMATION

Name 5-km regional climate downscaling for Japanese regoin using JRA-55
DOI doi:10.20783/DIAS.660
Metadata Identifier RCDSJRA5520241204133147-DIAS20221121113753-en

CONTACT

CONTACT on DATASET

Name Hiroaki Kawase
Organization Meteorological Research Institute
Address 1-1 Nagamine, Tsukuba, Ibaraki, 305-0052, Japan
E-mail hkawase@mri-jma.go.jp

CONTACT on PROJECT

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

DOCUMENT AUTHOR

Name Hiroaki Kawase
Organization Meteorological Research Institute
E-mail hkawase@mri-jma.go.jp

DATASET CREATOR

Name Hiroaki Kawase
Organization Meteorological Research Institute
E-mail hkawase@mri-jma.go.jp

DATE OF THIS DOCUMENT

2024-12-04

DATE OF DATASET

  • creation : 2023-09-30

  • publication : 2022-08-31

DATASET OVERVIEW

Abstract

This data was dowscaled from JRA-55 using the non-hydrostatic regional climate model and covers whole Japan with a grid spacing of 5 km from September 1958 to August 2022. This data includes not only atmospheric variabbles but also variables at the land surface, such as snow cover, soil moisture, soil temperature, and so on.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1958-09-01
End Date 2022-08-31

Geographic Bounding Box

North bound latitude 60
West bound longitude 110
Eastbound longitude 165
South bound latitude 15

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 527 5 (km)
column 804 5 (km)
vertical 16 1000, 975, 950, 925, 900, 875, 850, 800, 750, 700, 600, 500, 400, 300, 200, 100 (hPa)
time 1 (hour)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Atmosphere > Precipitation > Rain, Atmosphere > Precipitation > Snow, Atmosphere > Atmospheric Temperature > Air Temperature GCMD_science

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
grib2 2
4 byte binary none 4 byte binary file with grads control file

DATA POLICY

Data Policy by the Data Provider

- Users should not distribute the Products to any third party without Data Provider's prior consent. Use of the Products for any commercial purposes is also prohibited.

- The source of the Products should be duly acknowledged in scientific or technical papers, publications, press releases or other communications regarding the Products.

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Please note that although Data Provider has paid the closest attention to produce the Products, Data Provider is not responsible to you for any damage that may be caused by the use of the Products on this site.

- Acknowledgements

Please describe after the following example.

This study utilized the RCDSJRA-55, which was created by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) Program for the Integrated Research Program for Advancing Climate Models (TOUGOU) and Program for the advanced studies of climate change projection (SENTAN).

- Citation

Please cite Kawase et al. (2023) as the paper describing the dataset.

Kawase et al. 2023, Historical regional climate changes in Japan in winter as assessed by a 5-km regional climate model with a land surface process, Prog Earth Planet Sci 10, https://doi.org/10.1186/s40645-023-00536-4

- Co-authorship

We don’t require the our team members as coauthor when the user publishes the result, unless the team members deeply contribute the user’s work.

- Notification of data use

None

Data Policy by the Project

Data Integration and Analysis System

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

DATA SOURCE ACKNOWLEDGEMENT

Acknowledge the Data Provider

This study utilized the RCDSJRA-55, which was created by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) Program for the Integrated Research Program for Advancing Climate Models (TOUGOU) and Program for the advanced studies of climate change projection (SENTAN).

Acknowledge the Project

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. "

REFERENCES

Kawase et al. 2023, Historical regional climate changes in Japan in winter as assessed by a 5-km regional climate model with a land surface process, Prog Earth Planet Sci 10, https://doi.org/10.1186/s40645-023-00536-4

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