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.
Papers
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Journal ArticleDOI
Revisiting extreme storms of the past 100 years for future safety of large water management infrastructures
Xiaodong Chen,Faisal Hossain +1 more
TL;DR: In this paper, a numerical modeling framework was employed to reconstruct 10 extreme storms over CONUS that occurred during the past 100 years, which are used by the engineering profession for PMP estimation for large infrastructures such as dams.
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A non-linear and stochastic response surface method for Bayesian estimation of uncertainty in soil moisture simulation from a land surface model
TL;DR: The scheme was able to reduce computational burden of random MC sampling for GLUE in the ranges of 10%-70% and was found to be about 10% more efficient than the nearest- neighborhood sampling method in predicting a sampled pa- rameter set's degree of representativeness.
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Atmospheric Circulation Characteristics Favoring Dust Outbreaks over the Solar Village, Central Saudi Arabia*
TL;DR: In this paper, the atmospheric circulation characteristics of dust outbreaks (DOs) over the central Arabian Peninsula were examined based on a 12-yr (1999-2011) AERONET database over the Solar Village in Saudi Arabia and criteria pertinent to the aerosol optical depth at 500 nm and the Angstrom exponent.
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Towards Formulation of a Space-Borne System for Early Warning of Floods: Can Cost-Effectiveness Outweigh Prediction Uncertainty?
TL;DR: In this article, a conceptual framework for a fully space-borne system for early warning of floods is proposed, which is cast from the perspective of current understanding of the prediction uncertainties associated with space-based flood prediction.
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Comparison of PMP-Driven Probable Maximum Floods with Flood Magnitudes due to Increasingly Urbanized Catchment: The Case of American River Watershed
TL;DR: In this paper, the authors compare the relative contribution to increase in flood magnitudes through direct effects of land-cover change (urbanization and less infiltration) with gradual climate-based effects (modification in mesoscale storm systems).