Changes in future rainfall extremes over Northeast Bangladesh: A Bayesian model averaging approach

In this paper, we used a Bayesian model averaging (BMA) approach to analyse the changes in rainfall extremes in the periods 2041–2070 and 2071–2099 over northeast Bangladesh as a consequence of climate change. Climate change over this region could potentially impact agricultural production, water re...

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Veröffentlicht in:	International journal of climatology 2020-05, Vol.40 (6), p.3232-3249
Hauptverfasser:	Basher, Abul, Islam, A. K. M. Saiful, Stiller‐Reeve, Mathew A., Chu, Pao‐Shin
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural management Agricultural production Agricultural resources Agronomy Bayesian analysis Bayesian model averaging Climate change Climate models Confidence intervals Extreme weather Flash flooding Flash floods Flooding Impact analysis Mathematical models Monsoon rainfall Monsoons multi‐model ensemble mean Probability theory Rain Rainfall rainfall extremes Regional climate models Regional climates Regional development representative concentration pathways Resource management Seasons Training Water management Water resources Water resources management Wind
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