Estimated temperature under different landuse scenarios using NHM


1. IDENTIFICATION INFORMATION

Name Estimated temperature under different landuse scenarios using NHM
Metadata Identifier RECCA_AtmosEnv_Land_use_impact_v120230727084033-en

2. CONTACT

2.1 CONTACT on DATASET

Name Daisuke Goto
Organization National Institute for Environmental Studies, Atmosphere and Ocean Research Institute the University of Tokyo
E-mail goto.daisuke@nies.go.jp

2.2 CONTACT on PROJECT

3. DOCUMENT AUTHOR

Name Daisuke Goto
Organization National Institute for Environmental Studies
E-mail goto.daisuke@nies.go.jp

4. DATASET CREATOR

Name Daisuke Goto
Organization National Institute for Environmental Studies
E-mail goto.daisuke@nies.go.jp

5. DATE OF THIS DOCUMENT

2023-07-27

6. DATE OF DATASET

  • creation : 2014-03-17

7. DATASET OVERVIEW

7.1 Abstract

It includes temperature simulated by NHM under three different land uses in each era (1970s, 2000s, and 2030s).

7.2 Topic Category(ISO19139)

  • environment

7.3 Temporal Extent

Begin Date 1970-08-08
End Date 2030-08-20
Temporal Characteristics Daily. Data are available for 1970, 2000, and 2030.

7.4 Geographic Bounding Box

North bound latitude 36.5N
West bound longitude 138.5E
Eastbound longitude 141.5E
South bound latitude 34.8N

7.5 Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row (deg)
column (deg)

7.6 Geographic Description

7.7 Keywords

7.7.1 Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
気温、土地利用

7.7.2 Keywords on Project

7.9 Data Environmental Information

7.10 Distribution Information

name version specification
データ提供者との個別交渉 なし

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

NHM-simulated distribution of air temperature under three different land uses in each era (1970s, 2000s, and 2030s) made by National Land Numerical Information and MOE-S8.

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

The users should contact us and acknowledge us in your presentations (perhaps add us to the co-authors, in case our contribution is large).

10.2 Data Policy by the Project

11. LICENSE

12. DATA SOURCE ACKNOWLEDGEMENT

12.1 Acknowledge the Data Provider

This dataset is provided by MEXT/RECCA/SALSA Project Team.

12.2 Acknowledge the Project

13. REFERENCES

MEXT/RECCA/SALSA report (2012, 2013)