• BGS Hosted Metadata
  •   Search
  •   Map
  •  Sign in

Climate change projections and drought assessments for the Mun River basin, northeast Thailand 2021-2050

This dataset provides the projections of meteorological, hydrological, and agricultural droughts for the near-future period (2021-2050) for the Mun River basin, in Northeast Thailand. Near future drought characteristics (duration, intensity, and severity) are projected for climate change (CC) scenario using 8 CMIP6 climate models (CNRM-CM6-1, CNRM-CM6-1-HR, EC-Earth3P, EC-Earth3P-HR, HadGEM3-GC31-HH, HadGEM3-GC31-HM, HadGEM3-GC31-MM, HadGEM3-GC31-LL) for SSP5-8.5 scenario. Full details about this dataset can be found at https://doi.org/10.5285/b11c040d-c3c0-43c5-a7c0-442b067dc526

Simple

Date (Publication)
2023-03-17
Date (Creation)
2022-11-11
Citation identifier
https://catalogue.ceh.ac.uk/id/b11c040d-c3c0-43c5-a7c0-442b067dc526
Citation identifier
doi: / 10.5285/b11c040d-c3c0-43c5-a7c0-442b067dc526
Other citation details

Khadka, D., Abatan, A.A., Babel, M.S., Collins, M., Djordjevic, S. (2023). Climate change projections and drought assessments for the Mun River basin, northeast Thailand 2021-2050. NERC EDS Environmental Information Data Centre 10.5285/b11c040d-c3c0-43c5-a7c0-442b067dc526

Point of contact
Organisation name Individual name Electronic mail address Role

Asian Institute of Technology

Khadka, D.

dibesh@ait.asia

Author

University of Exeter

Abatan, A.A.

a.a.abatan@exeter.ac.uk

Author

Asian Institute of Technology

Babel, M.S.

msbabel@ait.ac.th

Author

University of Exeter

Collins, M.

m.collins@exeter.ac.uk

Author

University of Exeter

Djordjevic, S.

s.djordjevic@exeter.ac.uk

Author

University of Exeter

Abatan, A.A.

a.a.abatan@exeter.ac.uk

Point of contact
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Custodian
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Publisher
University of Exeter

EMAIL NOT PROVIDED

Owner

GEMET - Concepts, version 4.1.3

  • drought
  • climate change
Keywords
  • Thailand

  • climate model

  • bias correction

  • Southeast Asia

Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
Other restrictions
Other constraints

If you reuse this data, you should cite: Khadka, D., Abatan, A.A., Babel, M.S., Collins, M., Djordjevic, S. (2023). Climate change projections and drought assessments for the Mun River basin, northeast Thailand 2021-2050. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/b11c040d-c3c0-43c5-a7c0-442b067dc526

Spatial representation type
Text, table
Distance
10  urn:ogc:def:uom:EPSG::9001
Language
English
Character set
UTF8
Topic category
  • Environment
Begin date
2021-01-01
End date
2050-12-31
N
S
E
W
thumbnail




Unique resource identifier
WGS 84
Distribution format
Name Version

Comma-separated values (CSV)

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/data/b11c040d-c3c0-43c5-a7c0-442b067dc526

Download the data

OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/sd/b11c040d-c3c0-43c5-a7c0-442b067dc526.zip

Supporting information

Hierarchy level
Dataset
Other

dataset

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Statement

The raw climate data were accessed from the "Earth System Grid Federation (ESGF)" portal in December 2020. Climate data were re-gridded to 0.25 degrees using bilinear interpolation. Climate data has been bias-corrected using the Quantile mapping method with reference to 1981-2010 period observations. Bias correction of rainfall data is carried out using empirical distribution, which avoids assumptions about distribution fitting and corrects rainfall intensity and frequency. This method is more effective in reducing biases than using a theoretical distribution. For future rainfall values larger than those during the reference period, a correction factor for the highest quantile is used. Bias correction of temperature is carried out by fitting in a normal distribution.

Metadata

File identifier
b11c040d-c3c0-43c5-a7c0-442b067dc526 XML
Metadata language
English
Character set
8859 Part 1
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2025-11-13T16:15:11
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords



Provided by

logo

Share on social sites

Access to the catalogue
Read here the full details and access to the data.




  •   About
  •   Github
  •