Climate change projections and drought assessments for the Mun River basin, northeast Thailand 2021-2050
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
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.
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.
NERC EDS Environmental Information Data Centre