Name | NIASE 1km grid climate change scenario in Hokuriku, Japan |
Metadata Identifier | JP_NIAES_MetData_1kmMesh_Scenario_Hokuriku20230727072524-DIAS20221121113753-en |
Name | Dr. Tsuneo Kuwagata |
---|---|
Organization | National Institute for Agro-Environmental Sciences |
Address | 3-1-3 Kanondai, Tsukuba-shi, Ibaraki, 305-8604, Japan |
TEL | +81-29-838-8202 |
FAX | +81-29-838-8211 |
kuwa@affrc.go.jp |
Name | Dr. Yasushi Ishigooka |
---|---|
Organization | National Institute for Agro-Environmental Sciences |
Address | 3-1-3 Kanondai, Tsukuba-shi, Ibaraki, 305-8604, Japan |
TEL | +81-29-838-8202 |
FAX | +81-29-838-8211 |
isigo@affrc.go.jp |
Name | Dr. Tsuneo Kuwagata |
---|---|
Organization | National Institute for Agro-Environmental Sciences |
kuwa@affrc.go.jp |
Name | Dr. Yasushi Ishigooka |
---|---|
Organization | National Institute for Agro-Environmental Sciences |
isigo@affrc.go.jp |
Name | Dr. Tsuneo Kuwagata |
---|---|
Organization | National Institute for Agro-Environmental Sciences |
kuwa@affrc.go.jp |
Name | Dr. Yasushi Ishigooka |
---|---|
Organization | National Institute for Agro-Environmental Sciences |
isigo@affrc.go.jp |
Dataset:
1km grid daily climate change scenarios in Hokuriku, Japan. The dataset is generated from both the monthly climate change scenarios of 12 GCMs under two emission scenarios (A1B and B1) and the NIAES 1km grid meteorological data in Japan. Daily climate data in the dataset are generated using the weather generator WAGEN.
Variables: daily maximum/minimum air temperature, precipitation, solar radiation, relative humidity, wind speed
Remarks: Daily mean temperature is calculated as the average of daily maximum and minimum temperatures.
North bound latitude | 40 |
West bound longitude | 135 |
Eastbound longitude | 140 |
South bound latitude | 35 |
Dimension Name | Dimension Size (slice number of the dimension) | Resolution Unit |
---|---|---|
column | 0.0125 (deg) | |
row | 0.008333 (deg) |
Keyword Type | Keyword | Keyword thesaurus Name |
---|---|---|
theme | Surface Air Temperature, Surface Humidity, Precipitation, Surface Radiation Budget, Surface Wind Speed | GEO_COP |
File download page in the DIAS : https://data.diasjp.net/dl/storages/filelist/dataset:248
As a rule, you shall confirm the Data Policy and Acknowledgement for the DIAS.
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.
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. "
1. Seino, Hiroshi, 1993, An estimation of distribution of meteorological elements usging GIS and AMeDAS data. J. Agr. Met. Japan, 48, 379-383.
2. Sharpley, A.N. and J.R. Williams, 1990), EPIC-Erosion Productivity Impact Calculator, 1. model documentation. Technical Bulletin No. 1768. U.S. Department of Agriculture, Washington, D.C.