F
Faisal Hossain
Researcher at University of Washington
Publications - 246
Citations - 6396
Faisal Hossain is an academic researcher from University of Washington. The author has contributed to research in topics: Precipitation & Flood forecasting. The author has an hindex of 38, co-authored 230 publications receiving 5251 citations. Previous affiliations of Faisal Hossain include University of Chittagong & Tennessee Technological University.
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Arctic climate and snow cover trends – Comparing Global Circulation Models with remote sensing observations
TL;DR: The results show that across the Arctic warmer climate classes have and will continue to replace polar tundra and cold summer regions and that the coverage of the currently dominant Arctic climate class, Cold climate with cold summers and no dry season (Dfc), is expected to decline by about 40% by 2100 and be replaced by climate classes associated with warm (Dfb, Dsb, Dwb) and hot (Dfa, Dsa, Dwa) summers.
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Performance evaluation of merged satellite rainfall products based on spatial and seasonal signatures of hydrologic predictability
TL;DR: In this article, the authors explored a merging scheme based on runoff predictability to understand the impact on prediction skill of the merging scheme, which showed an improvement of 57% for 3B42RT, 63% for CMORPH and 68% for PERSIANN-CCS.
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Understanding Model-Based Probable Maximum Precipitation Estimation as a Function of Location and Season from Atmospheric Reanalysis
Xiaodong Chen,Faisal Hossain +1 more
TL;DR: Extreme precipitation events bring huge societal and economic loss around the world every year, and they have undergone spatially heterogeneous changes in the past half-century They are fu as mentioned in this paper.
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Forecast-informed hydropower optimization at long and short-time scales for a multiple dam network
TL;DR: In this article, a scheme for co-optimizing the long-term (seasonal) reservoir operating objectives with the shortterm (daily) objectives for multi-dam networks to maximize hydropower generation is presented.
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Hydrological model using ground- and satellite-based data for river flow simulation towards supporting water resource management in the Red River Basin, Vietnam
Nguyen Hoang Hiep,Nguyen Duc Luong,Tran Thi Viet Nga,Bui Thi Hieu,Ung Thi Thuy Ha,Bui Du Duong,Vu Duc Long,Faisal Hossain,Hyongki Lee +8 more
TL;DR: Simulation results generally indicated that the calibrated VIC model could satisfactorily capture the river flow dynamics of the Red River system in the RRB and suggested that the use of more spatially representative meteorological data provided by satellite remote sensing should be considered in future studies.