Professor. Hamid Moradkhani
Alton N. Scott Endowed Chair of Engineering
Director, Center for Complex Hydrosystems Research
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📣 We’ll be studying nostationarity of #Compound #Cosatal #Floods in the following 3 yrs w/@HamidMoradkhani & @davidmunozpauta 😊 Thanks @NSF & @HydroBeth; #PhD opening announcements coming soon!

The AGU deadline is approaching! We welcome our invited speakers, @HamidMoradkhani and @vmmerwade, and hope to see all interesting pieces of research in our flood session again.

@ahmadisharaf @ManuelaIBrunner Brett Sanders

We invite you submitting your abstract to our Data Learning session, "H006 - Advances in Data Assimilation, Data Mining, and Data Fusion in Earth System Modeling and Applications" @Hydrology_AGU with @HamidMoradkhani , @sujayvkumar and Harrie-Jan Hendricks Franssen

A new and comprehensive tropical cyclone scaling system to characterize hurricane hazards integrating storm surge, rainfall, and wind speed. Check out our recently published paper in Earth’s Future http://doi.org/10.1029/2021EF002635. @HamidMoradkhani, @HamedMoftakhari, @NWSNHC,@NHC_Atlantic

Hot off the press: we implemented sequential data assimilation using satellite derived actual ET in modified Priestley-Taylor ET model for improved simulation of actual farm scale actual ET. Special thanks to @P_Abbaszadeh and Dr. @HamidMoradkhani https://www.sciencedirect.com/science/article/pii/S0168192322001721?dgcid=author

HAND is a great indicator of inland floodplains, but its accuracy extremely drops in coastal flat regions. Here we propose a HAND-based composite index for rapid flood hazard mapping in coastal regions.
@davidmunozpauta @HamedMoftakhari @HamidMoradkhani

If you are working on river flooding using a 2D hydrodynamic model and want to know how to prioritize your input factors for efficient and effective modeling, you may find our newly published paper with @Kjafarza and @HamidMoradkhani useful. https://doi.org/10.1016/j.envsoft.2022.105398

Check out our newly published work with @P_Abbaszadeh and @HamidMoradkhani in @STOTEN_journal showing how the source of satellite precipitation data (e.g., NLDAS and IMERG) in land data assimilation system can affect identifying drought severity https://authors.elsevier.com/a/1etP8B8ccui3-


Also, congratulations to the award recipients in other categories especially my Ph.D. committee mentor Dr.@HamidMoradkhani for his award for “Excellent contribution in research and innovation.”

Hot off the press: An integreted modeling framework is developed to simulate irrigation water requirement and crop yield at county scale and employed during drought periods in Deep South, US. Thanks to @P_Abbaszadeh, @HamidMoradkhani, Xiaoliang, and Lei Xu https://authors.elsevier.com/a/1eqUk52cuXVoP

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