NIASE 1km grid climate change scenario in Hokuriku, Japan


IDENTIFICATION INFORMATION

Name NIASE 1km grid climate change scenario in Hokuriku, Japan
Metadata Identifier JP_NIAES_MetData_1kmMesh_Scenario_Hokuriku20181218143732-DIAS20180903143952-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 Remote Sensing Technology Center of Japan
Address TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001, 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

2018-12-18

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

USE CONSTRAINTS

Data Policy by Data Provider

As a rule, you shall confirm the Data Policy and Acknowledgement for the DIAS.

Data Policy for Project

Data Integration and Analysis System

The terms of data use of data providers take first priority over the DIAS data usage policy. In the event a data provider has not established terms of use, the following DIAS project data terms of use apply.

1. Users shall prioritize and abide by terms of use stipulated by a data provider in the event such exist

2. The use of DIAS data sets is limited to research and educational purposes [*1]

3. Users shall not modify the content of DIAS data sets

4. Users shall not provide the content of DIAS data sets to third parties

5. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall cite in parenthesis the text given as the data citation

6. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall submit a copy of the work (an offprint in the case of a paper, or a copy of the lecture summary in the case of an oral or poster presentation) to the DIAS office below

[*1] Data sets whose commercial usage are allowed under the data policy by data provider will be also allowed to be used commercially as DIAS data sets, after ongoing preparation works have been completed. Please contact the DIAS Office for more details.

[DIAS Office]

E-mail: dias-office@diasjp.net

Remote Sensing Technology Center of Japan

TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001

Disclaimer for Project

Data Integration and Analysis System

1. DIAS data provider is not liable for any losses or any damage when DIAS data sets are used.

2. DIAS data and related information are subject to change without any prior notice.

3. DIAS data sets provided are not supported for any additional processing or analysis.

ACKNOWLEDGEMENT

Project Acknowledgement

Data Integration and Analysis System

Whenever DIAS dataset is used for any academic presentations, and any publication of scientific results, the author(s) shall specify the following acknowledgement and if the data provider has their own acknowledgement quotation, the author(s) shall use both acknowledgements.

"The DIAS dataset is archived and provided under the framework of the Data Integration and Analysis System (DIAS) funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT)."

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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