5-km resolution ensemble climate data in Japan


Citation for this dataset
Hiroaki Kawase. (2023). 5-km resolution ensemble climate data in Japan [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.657
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IDENTIFICATION INFORMATION

Name 5-km resolution ensemble climate data in Japan
DOI doi:10.20783/DIAS.657
Metadata Identifier d4PDF_5kmDDS_JP20240128190245-DIAS20221121113753-en

CONTACT

CONTACT on DATASET

Name Hiroaki Kawase
Organization Meteorological Research Institute, Japan Meteorological Agency
Address 1-1, Nagamine, Tsukuba, Ibaraki, 305-0052, Japan
E-mail d4pdf_5kmdds_jp@jamstec.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, Japan Meteorological Agency
E-mail hkawase@mri-jma.go.jp

DATASET CREATOR

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

DATE OF THIS DOCUMENT

2024-01-28

DATE OF DATASET

  • creation : 2023-09-19

DATASET OVERVIEW

Abstract

Dynamical downscaling ensemble data covering the whole Japan from d4PDF with 5-km nonhydrostatic regional climate model (NHRCM)

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1950-07-21
End Date 2011-09-06
Temporal Characteristics Hourly

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 550 5 (km)
column 755 5 (km)
vertical 13 1000, 975, 950, 925, 900, 875, 850, 800, 700, 600, 500, 300, 200 (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
netCDF 4

DATA POLICY

Data Policy by the Data Provider

- Purpose of use

There are no restrictions. The contents are subject to change without any prior notice. We are not liable for any losses or any damage when the dataset is used.

- Redistribution

Users shall not redistribute the content of the data set to third parties.

- Disclaimer

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 5-km ensemble dynamical downscaling data, which was created by the JAMSTEC Earth Simulator under the Ministry of Education, Culture, Sports, Science and Technology (MEXT) 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, Identifying robust changes of extreme precipitation in Japan from large ensemble 5-km-grid regional experiments for 4K warming scenario. Journal of Geophysical Research, JGR-Atmosphere, https://doi.org/10.1029/2023JD038513

- 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.

Data Policy by the Project

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.

DATA SOURCE ACKNOWLEDGEMENT

Acknowledge the Data Provider

This study utilized the 5-km ensemble dynamical downscaling data calculated by the JAMSTEC Earth Simulator under the Ministry of Education, Culture, Sports, Science and Technology (MEXT) 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, Identifying robust changes of extreme precipitation in Japan from large ensemble 5-km-grid regional experiments for 4K warming scenario. Journal of Geophysical Research, JGR-Atmosphere, https://doi.org/10.1029/2023JD038513

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