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Khadka, D.; Abatan, A.A.; Babel, M.S. ; Collins, M.; Djordjevic, S.

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

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This dataset is available under the terms of the Open Government Licence

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https://doi.org/10.5285/b11c040d-c3c0-43c5-a7c0-442b067dc526
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.
Publication date: 2023-03-17
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More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

Comma-separated values (CSV)

Spatial information

Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84

Temporal information

Temporal extent
2021-01-01    to    2050-12-31

Provenance & quality

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.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:
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

Correspondence/contact details

Abatan, A.A.
University of Exeter
 a.a.abatan@exeter.ac.uk

Authors

Khadka, D.
Asian Institute of Technology
Abatan, A.A.
University of Exeter
Babel, M.S.
Asian Institute of Technology
Collins, M.
University of Exeter
Djordjevic, S.
University of Exeter

Other contacts

Rights holder
University of Exeter
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
environment
Keywords
bias correction , climate change , climate model , drought , Southeast Asia , Thailand
Funding
Natural Environment Research Council Award: NE/S002901/1
Last updated
01 March 2024 11:28