NIAES 1km grid meteorological data in Hokuriku, Japan


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IDENTIFICATION INFORMATION

Name NIAES 1km grid meteorological data in Hokuriku, Japan
Metadata Identifier JP_NIAES_MetData_1kmMesh_Hokuriku20221122142907-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

Daily 1km grid meteorological data for Hokuriku district of Japan.

Variables: Daily mean/maximum/minimum air temperature, precipitation, sun-shine duration, solar radiation, relative humidity, wind speed

This dataset is interpolated from daily AMeDAS observational station data by applying a reversed-distance weighing method to the deviations from the long-term averages of 1km grid data. The 1km grid data were interpolated from daily obaservational station data by using a multiple-regression model.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1978-01-01
End Date Under Continuation
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, Surface Radiation Budget, Surface Wind Speed, Precipitation 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

DATA POLICY

Data Policy by 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.

"Seino, Hiroshi, 1993, An estimation of distribution of meteorological elements usging GIS and AMeDAS data. J. Agr. Met. Japan, 48, 379-383.".

Data Policy by the Project

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.

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

Seino, Hiroshi, 1993, An estimation of distribution of meteorological elements usging GIS and AMeDAS data. J. Agr. Met. Japan, 48, 379-383.


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