NIAES agro-meteorological data (simulations of past and future projections over Central Thailand)


Citation for this dataset
Dr. Kazunori Minamikawa. (2016). NIAES agro-meteorological data (simulations of past and future projections over Central Thailand) [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.272
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IDENTIFICATION INFORMATION

Name NIAES agro-meteorological data (simulations of past and future projections over Central Thailand)
Edition 1.0
Abbreviation NIASES agro-meteorological data of Central Thailand
DOI doi:10.20783/DIAS.272
Metadata Identifier JP_NIAES_AgroMet_StationData_Thailand20221122151636-DIAS20221121113753-en

CONTACT

CONTACT on DATASET

Name Dr. Kazunori Minamikawa
Organization National Institute for Agro-Environmental Sciences, Agro-Meteorology Division
Address 3-1-3 Kanondai, Tsukuba-shi, Ibaraki, 305-8604, Japan
TEL +81-29-838-8234
FAX +81-29-838-8199
E-mail minakazu@affrc.go.jp
Name Dr. Toshichika Iizumi
Organization National Institute for Agro-Environmental Sciences, Agro-Meteorology Division
Address 3-1-3 Kanondai, Tsukuba-shi, Ibaraki, 305-8604, Japan
TEL +81-29-838-8235
FAX +81-29-838-8199
E-mail iizumit@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. Kazunori Minamikawa
Organization National Institute for Agro-Environmental Sciences, Agro-Meteorology Division
E-mail minakazu@affrc.go.jp
Name Dr. Toshichika Iizumi
Organization National Institute for Agro-Environmental Sciences, Agro-Meteorology Division
E-mail iizumit@affrc.go.jp

DATASET CREATOR

Name Dr. Kazunori Minamikawa
Organization National Institute for Agro-Environmental Sciences, Agro-Meteorology Division
E-mail minakazu@affrc.go.jp
Name Dr. Toshichika Iizumi
Organization National Institute for Agro-Environmental Sciences, Agro-Meteorology Division
E-mail iizumit@affrc.go.jp

DATE OF THIS DOCUMENT

2022-11-22

DATE OF DATASET

  • creation : 2016-03-01

DATASET OVERVIEW

Abstract

Simulated agro-meteorological data of past (1981-2005) and future (2006-2060) over Central Thailand.

Stations: Chai NatASuphan BuriABang NaARatchaburi

Temporal coverage: 1981-2005(past simulations), 2006-2060 (future projections)

Variables: daily maximum and minimum of air temperature (degC), precipitation (cm/d), solar radiation (MJ/m^2/d)

File format

Line 1: Station name, year and atmospheric CO2 concentration (ppmv)

Line 2 to the end of file: day-of-year, daily minimum of air temperature, daily maximum of air temperature, precipitation and solar radiation. Leap years are accounted for.

Method

Data were generated by means of regional downscaling from seven global climate models (GCMs) under four representative concentration pathways (RCPs). The seven GCMs used were GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, MIROC5, MIROC-ESM-CHEM, MRI-CGCM3 and NorESM1-M.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 1981-01-01
End Date 2060-12-31
Temporal Characteristics Daily

Geographic Bounding Box

North bound latitude 15.20
West bound longitude 99.80
Eastbound longitude 100.62
South bound latitude 13.49

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Surface Air Temperature, Surface Radiation Budget, 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

Distribution Information

name version specification
Plain text format 1.0 Detailed data format is described in Abstract section.

DATA POLICY

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 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.

Authors are asked to refer No. [1]-[3] when

publish the results using maximum/minimum temperature and/or precipitation.

Authors are asked to refer No. [1]-[4] when

publish the results using the solar radiation data.

[1] Iizumi, T. M. Nishimori, Y. Ishigooka, and M. Yokozawa, 2010: Introduction to climate change scenario derived by statistical downscaling. Journal of Agricultural Meteorology, 66, 131-143 (in Japanese with English Abstract).

[2] Iizumi, T., M. Nishimori, K. Dairaku, S. A. Adachi, and M. Yokozawa, 2011: Evaluation and intercomparison of downscaled daily precipitation indices over Japan in present-day climate: Strengths and weaknesses of dynamical and bias-correction-type statistical downscaling methods. Journal of Geophysical Research, 116, D01111, doi:10.1029/2010JD014513.

[3] Iizumi, T., I. Takayabu, K. Dairaku, H. Kusaka, M. Nishimori, G. Sakurai, N. N. Ishizaki, S. A. Adachi, and M. A. Semenov, 2012: Future change of daily precipitation indices in Japan: A stochastic weather generator-based bootstrap approach to provide probabilistic climate information. Journal of Geophysical Research, 117, D11114, doi:10.1029/2011JD017197.

[4] Iizumi, T., M. Okada, and M. Yokozawa (2014) A meteorological forcing dataset for global crop modeling: development, evaluation, and intercomparison. Journal of Geophysical Research-Atmospheres, 119, 363-384.

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] Iizumi, T. M. Nishimori, Y. Ishigooka, and M. Yokozawa, 2010: Introduction to climate change scenario derived by statistical downscaling. Journal of Agricultural Meteorology, 66, 131-143 (in Japanese with English Abstract).

[2] Iizumi, T., M. Nishimori, K. Dairaku, S. A. Adachi, and M. Yokozawa, 2011: Evaluation and intercomparison of downscaled daily precipitation indices over Japan in present-day climate: Strengths and weaknesses of dynamical and bias-correction-type statistical downscaling methods. Journal of Geophysical Research, 116, D01111, doi:10.1029/2010JD014513.

[3] Iizumi, T., I. Takayabu, K. Dairaku, H. Kusaka, M. Nishimori, G. Sakurai, N. N. Ishizaki, S. A. Adachi, and M. A. Semenov, 2012: Future change of daily precipitation indices in Japan: A stochastic weather generator-based bootstrap approach to provide probabilistic climate information. Journal of Geophysical Research, 117, D11114, doi:10.1029/2011JD017197.

[4] Iizumi, T., M. Okada, and M. Yokozawa (2014) A meteorological forcing dataset for global crop modeling: development, evaluation, and intercomparison. Journal of Geophysical Research-Atmospheres, 119, 363-384.


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