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


The citation for this dataset is:
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
Select citation format:

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_Thailand20181216224020-DIAS20180903143952-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 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. 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

2018-12-16

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.

USE CONSTRAINTS

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

Dataset Acknowledgement

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.

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] 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.


Copyright(c) 2006-2018 Data Integration & Analysis System (DIAS) All Rights Reserved.
This project is supported by "Data Integration & Analysis System" funded by MEXT, Japan
Copyright © 2009-2019 DIAS All Rights Reserved.