Climate change projections of maximum temperature  in the pre-monsoon season in Bangladesh using statistical downscaling of global climate models

Rashid, M. Bazlur; Hossain, Syed Shahadat; Mannan, M. Abdul; Parding, Kajsa M.; Hygen, Hans Olav; Benestad, Rasmus E.; Mezghani, Abdelkader

doi:https://doi.org/10.5194/asr-18-99-2021

Articles | Volume 18

https://doi.org/10.5194/asr-18-99-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/asr-18-99-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18

13 Jul 2021

| 13 Jul 2021

Climate change projections of maximum temperature in the pre-monsoon season in Bangladesh using statistical downscaling of global climate models

M. Bazlur Rashid, Syed Shahadat Hossain, M. Abdul Mannan, Kajsa M. Parding, Hans Olav Hygen, Rasmus E. Benestad, and Abdelkader Mezghani

Supplement

https://doi.org/10.5194/asr-18-99-2021-supplement

Data sets

Code for empirical-statistical downscaling analysis K. Parding and M. B. Rashid https://doi.org/10.6084/m9.figshare.14844984.v2

ERA5 monthly averaged data on single levels from 1979 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.f17050d7

Short summary

This study presents estimates of the maximum temperature in Bangladesh for the 21st century for the pre-monsoon season (March–May), the hottest season in Bangladesh. The maximum temperature is important as indicator of the frequency and severity of heatwaves. Several emission scenarios were considered assuming different developments in the emission of greenhouse gases. Results show that there will likely be a heating of at least 1 to 2 degrees Celsius.