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

Autor: M. B. Rashid, S. S. Hossain, M. A. Mannan, K. M. Parding, H. O. Hygen, R. E. Benestad, A. Mezghani
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Advances in Science and Research, Vol 18, Pp 99-114 (2021)
Druh dokumentu: article
ISSN: 1992-0628
1992-0636
DOI: 10.5194/asr-18-99-2021
Popis: The climate of Bangladesh is very likely to be influenced by global climate change. To quantify the influence on the climate of Bangladesh, Global Climate Models were downscaled statistically to produce future climate projections of maximum temperature during the pre-monsoon season (March–May) for the 21st century for Bangladesh. The future climate projections are generated based on three emission scenarios (RCP2.6, RCP4.5 and RCP8.5) provided by the fifth Coupled Model Intercomparison Project. The downscaling process is undertaken by relating the large-scale seasonal mean temperature, taken from the ERA5 reanalysis data set, to the leading principal components of the observed maximum temperature at stations under Bangladesh Meteorological Department in Bangladesh, and applying the relationship to the GCM ensemble. The in-situ temperature data has only recently been digitised, and this is the first time they have been used in statistical downscaling of local climate projections for Bangladesh. This analysis also provides an evaluation of the local data, and the local temperatures in Bangladesh show a close match with the ERA5 reanalysis. Compared to the reference period of 1981–2010, the projected maximum pre-monsoon temperature in Bangladesh indicate an increase by 0.7/0.7/0.7 ∘C in the near future (2021–2050) and 2.2/1.2/0.8 ∘C in the far future (2071–2100) assuming the RCP8.5/RCP4.5/RCP2.6 scenario, respectively.
Databáze: Directory of Open Access Journals
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