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_Thailand20230727074102-DIAS20221121113753-en |
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 |
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 |
iizumit@affrc.go.jp |
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 |
dias-office@diasjp.net |
Name | Dr. Kazunori Minamikawa |
---|---|
Organization | National Institute for Agro-Environmental Sciences, Agro-Meteorology Division |
minakazu@affrc.go.jp |
Name | Dr. Toshichika Iizumi |
---|---|
Organization | National Institute for Agro-Environmental Sciences, Agro-Meteorology Division |
iizumit@affrc.go.jp |
Name | Dr. Kazunori Minamikawa |
---|---|
Organization | National Institute for Agro-Environmental Sciences, Agro-Meteorology Division |
minakazu@affrc.go.jp |
Name | Dr. Toshichika Iizumi |
---|---|
Organization | National Institute for Agro-Environmental Sciences, Agro-Meteorology Division |
iizumit@affrc.go.jp |
creation : 2016-03-01
Simulated agro-meteorological data of past (1981-2005) and future (2006-2060) over Central Thailand.
Stations: Chai NatASuphan BuriABang NaARatchaburi
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.
climatologyMeteorologyAtmosphere
Begin Date | 1981-01-01 |
End Date | 2060-12-31 |
Temporal Characteristics | Daily |
North bound latitude | 15.20 |
West bound longitude | 99.80 |
Eastbound longitude | 100.62 |
South bound latitude | 13.49 |
Keyword Type | Keyword | Keyword thesaurus Name |
---|---|---|
theme | Surface Air Temperature, Surface Radiation Budget, Precipitation | GEO_COP |
Keyword Type | Keyword | Keyword thesaurus Name |
---|---|---|
theme | DIAS > Data Integration and Analysis System | No_Dictionary |
File download page in the DIAS : https://data.diasjp.net/dl/storages/filelist/dataset:272
name | version | specification |
---|---|---|
Plain text format | 1.0 | Detailed data format is described in Abstract section. |
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.
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.
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. "
[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.