NIAES agro-meteorological data(simulations of past and future
projections over Central Thailand)
1. IDENTIFICATION INFORMATIONNameNIAES 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 [https://doi.org/10.20783/DIAS.272]

Metadata
Identifier

JP_NIAES_AgroMet_StationData_Thailand20230727074102-DIAS20221121113753-en

2. CONTACT
2.1 CONTACT on DATASETNameDr. Kazunori MinamikawaOrganization

National Institute for Agro-Environmental Sciences, Agro-Meteorology Division

Address

3-1-3 Kanondai, Tsukuba-shi, Ibaraki, 305-8604, JapanTEL+81-29-838-8234

FAX+81-29-838-8199

E-mailminakazu@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, JapanTEL+81-29-838-8235

FAX+81-29-838-8199

E-mailiizumit@affrc.go.jp

2.2 CONTACT on PROJECT
2.2.1 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-maildias-office@diasjp.net

13. DOCUMENT AUTHOR
NameDr. Kazunori Minamikawa

Organization

National Institute for Agro-Environmental Sciences, Agro-Meteorology Division

E-mailminakazu@affrc.go.jp

Name

Dr. Toshichika Iizumi

Organization

National Institute for Agro-Environmental Sciences, Agro-Meteorology Division

E-mailiizumit@affrc.go.jp

4. DATASET CREATOR
NameDr. Kazunori Minamikawa

Organization

National Institute for Agro-Environmental Sciences, Agro-Meteorology Division

E-mailminakazu@affrc.go.jp

Name

Dr. Toshichika Iizumi

Organization

National Institute for Agro-Environmental Sciences, Agro-Meteorology Division

E-mailiizumit@affrc.go.jp

5. DATE OF THIS DOCUMENT
2023-07-27

6. DATE OF DATASET
�creation : 2016-03-01

7. DATASET OVERVIEW
7.1 Abstract
Simulated agro-meteorological data of past (1981-2005) and future (2006-2060) over Central Thailand.
Stations: Chai Nat、Suphan Buri、Bang Na、Ratchaburi
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 airtemperature, precipitation and solar radiation. Leap years are accounted for.

2Method
Data were generated by means of regional downscaling from seven global climate models (GCMs) underfour representative concentration pathways (RCPs). The seven GCMs used were GFDL-ESM2M, HadGEM2ES, IPSL-CM5A-LR, MIROC5, MIROC-ESM-CHEM, MRI-CGCM3 and NorESM1-M.

7.2 Topic Category(ISO19139)
�climatologyMeteorologyAtmosphere

7.3 Temporal Extent
Begin Date

1981-01-01

End Date

2060-12-31

Temporal
Characteristics

Daily

7.4 Geographic Bounding Box
Northlatitudebound 15.20

Westlongitude

bound 99.80

Eastboundlongitude

100.62South
latitudebound 13.49

7.5 Grid
7.6 Geographic Description
7.7 Keywords
7.7.1 Keywords on Dataset
Keyword Type

Keywordtheme

Surface Air Temperature,
Precipitation

KeywordName
Surface

Radiation

thesaurus

Budget, GEO_COP

7.7.2 Keywords on Project
7.7.2.1 Data Integration and Analysis System
Keyword Type

Keyword

Keyword
Name

theme

DIAS &amp;gt; Data Integration and Analysis System

No_Dictionary

3thesaurus

7.8 Online Resource
�File download page in the DIAS :https://data.diasjp.net/dl/storages/filelist/dataset:272

7.9 Data Environmental Information
7.10 Distribution Information
nameversion

specification

Plain text format

1.0

Detailed data format is described in Abstract section.

8. DATA PROCESSING
9. DATA REMARKS
10. DATA POLICY
10.1 Data Policy by the Data Provider
10.2 Data Policy by the Project
10.2.1 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'spolicy shall prevail.

11. LICENSE
12. DATA SOURCE ACKNOWLEDGEMENT
12.1 Acknowledge the Data Provider
Whenever this data set is used for any academic presentations, and any publication of scientificresults, the author(s) shall specify the following acknowledgement.

Authors are asked to refer No. [1]-[3] whenpublish the results using maximum/minimum temperature and/or precipitation.
Authors are asked to refer No. [1]-[4] when4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 (inJapanese with English Abstract).
[2] Iizumi, T., M. Nishimori, K. Dairaku, S. A. Adachi, and M. Yokozawa, 2011: Evaluation andintercomparison 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. Journalof 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 ResearchAtmospheres, 119, 363-384.

12.2 Acknowledge the Project
12.2.1 Data Integration and Analysis System
If you plan to use this dataset for a conference presentation, paper, journal article, or reportetc., 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 wasdeveloped and operated by a project supported by the Ministry of Education, Culture, Sports, Scienceand Technology. "13. 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 (inJapanese with English Abstract).
[2] Iizumi, T., M. Nishimori, K. Dairaku, S. A. Adachi, and M. Yokozawa, 2011: Evaluation andintercomparison 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. Journalof 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 ResearchAtmospheres, 119, 363-384.

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