Regional Climate Change Projection Data by MOEJ (in cooperation with JMA)

1. IDENTIFICATION INFORMATION

Name Regional Climate Change Projection Data by MOEJ (in cooperation with JMA)
Abbreviation MOEJ and JMA Regional Climate Change Projection Data
Metadata Identifier NHRCM20_ADAPT201320230727070510-DIAS20221121113753-en

2. CONTACT

2.1 CONTACT on DATASET

Name Climate Change Adaptation Office, Policy Planning Division, Global Environment Bureau
Organization The Ministry of the Environment of Japan
Address No. 5 Godochosha, 1-2-2 Kasumigaseki, Chiyoda-ku, Tokyo, 100-8975, Japan
TEL +81-3-5521-8242

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 Climate Change Adaptation Office, Policy Planning Division, Global Environment Bureau
Organization The Ministry of the Environment of Japan

4. DATASET CREATOR

Name Climate Change Adaptation Office, Policy Planning Division, Global Environment Bureau
Organization The Ministry of the Environment of Japan

5. DATE OF THIS DOCUMENT

2023-07-27

6. DATE OF DATASET

  • creation : 2014-03-31

  • publication : 2014-03-31

7. DATASET OVERVIEW

7.1 Abstract

This dataset is the output data of NHRCM20, the regional climate change projection model provided by Meteorological Research Institute, as part of the project which aims to provide detailed climate change projections around Japan for adaptation planning.

7.2 Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

7.3 Temporal Extent

Begin Date 1984-09-01
End Date 2100-08-31
Temporal Characteristics from hourly to monthly

7.4 Geographic Bounding Box

North bound latitude 46.61
West bound longitude 117.43
Eastbound longitude 160.93
South bound latitude 19.48

7.5 Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row 211 20 (km)
column 175 20 (km)
vertical 40 unequal (level)

7.6 Geographic Description

7.7 Keywords

7.7.1 Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme GLOBAL CHANGE > Regional climate change AGU
theme Atmosphere GCMD_science
theme Climate GEOSS
place Asia > Eastern Asia > Japan Country

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

19/05/2015: Some of the data have been replaced with modified data because of the error in radiation variables. Modified data lists are shown in the documents below. [Raw data] NHRCM20_ADAPT2013 > tier1_list_modified.txt [Processed data] NHRCM20_ADAPT2013 > tier2_list_modified.txt

7.10 Distribution Information

name version specification
binary Meteorological Research Institute NHRCM20 output data(raw data)
netCDF Meteorological Research Institute NHRCM20 output data(processed data)
text Meteorological Research Institute NHRCM20 output data(bias corrected data)

8. DATA PROCESSING

8.1 Data Processing (1)

8.1.1 General Explanation of the data producer's knowledge about the lineage of a dataset

binary : raw data

netCDF : processed data

text : bias corrected data

8.1.2 Data Source

Data Source Citation Name Description of derived parameters and processing techniques used

9. DATA REMARKS

10. DATA POLICY

10.1 Data Policy by the Data Provider

1. These data sets are to be used only for scientific research, or educational or political purposes. Commercial use and exploitation of these data sets are prohibited. (Users shall keep in mind that the dataset creator may verify the purposes of their use.)

2. Any modification or change of the original these data sets is prohibited.

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

4. The origin of these 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.

5. Whenever these 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 "Contact" as indicated above.

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

Whenever this data set is used for any academic presentations, and any publication of scientific results, the author(s) shall specify the following acknowledgement.

"This work uses the data set produced and provided in the FY2013 and FY 2014 climate change projection project conducted by the Ministry of the Environment of Japan. This data set is created and provided by using the climate models developed by the Meteorological Research Institute, in cooperation with the Japan Meteorological Agency, and the Program for Risk Information on Climate Change conducted by the Ministry of Education, Culture, Sports, Science and Technology of Japan."

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