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
https://doi.org/10.5285/b11c040d-c3c0-43c5-a7c0-442b067dc526
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
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This dataset is available under the terms of the Open Government Licence
By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
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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Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
WGS 84
Spatial resolution
10 metres
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
Authors
Other contacts
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Rights holder
University of Exeter
