NIASE 1km grid climate change scenario in Hokuriku, Japan


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IDENTIFICATION INFORMATION

Name NIASE 1km grid climate change scenario in Hokuriku, Japan
Metadata Identifier JP_NIAES_MetData_1kmMesh_Scenario_Hokuriku20221122142943-DIAS20221121113753-en

CONTACT

CONTACT on DATASET

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
E-mail 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
E-mail isigo@affrc.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 Dr. Tsuneo Kuwagata
Organization National Institute for Agro-Environmental Sciences
E-mail kuwa@affrc.go.jp
Name Dr. Yasushi Ishigooka
Organization National Institute for Agro-Environmental Sciences
E-mail isigo@affrc.go.jp

DATASET CREATOR

Name Dr. Tsuneo Kuwagata
Organization National Institute for Agro-Environmental Sciences
E-mail kuwa@affrc.go.jp
Name Dr. Yasushi Ishigooka
Organization National Institute for Agro-Environmental Sciences
E-mail isigo@affrc.go.jp

DATE OF THIS DOCUMENT

2022-11-22

DATE OF DATASET

  • publication : 2014-04-01

DATASET OVERVIEW

Abstract

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.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1981-01-01
End Date 2100-12-31
Temporal Characteristics Daily

Geographic Bounding Box

North bound latitude 40
West bound longitude 135
Eastbound longitude 140
South bound latitude 35

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
column 0.0125 (deg)
row 0.008333 (deg)

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Surface Air Temperature, Surface Humidity, Precipitation, Surface Radiation Budget, Surface Wind Speed GEO_COP

Keywords on Project

Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary

Online Resource

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DATA SOURCE ACKNOWLEDGEMENT

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

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.


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