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Hamid Moradkhani
@HamidMoradkhani
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Professor, @UofAlabama, interested in #Hydrocomplexity, #DataAssimilation, #MachineLearning, #RemoteSensing, #Uncertainty
Joined June 2015
Pleased to share our recent research with great work of @EhsanForoumandi on integrating Ensemble Data Assimilation in the NOAA NextGen framework for improving operational streamflow forecasting. This study introduces a model-agnostic data assimilation module that enhances hydrologic modeling accuracy by assimilating real-time observations to the Conceptual Functional Equivalent Hydrologic Model leveraging the Ensemble Kalman Filter (EnKF) and Particle Filter (PF), our approach considerably improves forecast precision, making it a valuable tool for water resource management and extreme event prediction. Looking forward to engaging with the community on how these advancements can support operational hydrology! Thanks to Witold Krajewski and Fred Ogden for their great contributions!
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RT @SoheilRadfar: Excited to share our new paper w/ @EhsanForoumandi, Hamed Moftakhari, @HamidMoradkhani, Gregory Foltz, Alex Sen Gupta in…
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RT @asattari1991: Excited to share my latest research in Expert Systems with Applications on developing a probabilistic framework for relia…
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Pleased to share the first PhD paper of @ParnianGhaneei with contribution of @EhsanForoumandi, tackling the long-lasting problem of hydrologic prediction in ungauged basins. We introduce a robust framework integrating nonlinear clustering techniques and deep learning to account for dependency of extensive hydroclimatological and physical attributes of basins across the Contiguous United States.
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RT @SoheilRadfar: Discussed the role of #warming oceans in Hurricane Milton's explosive #intensification w/ @BBCNews. Our research w/ @Hame…
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Off the press from @STOTEN_journal, our research sheds light on the future of global food security! This study identifies critical risks in some African countries, parts of Central Asia and the Middle East, western USA, and Australia, due to water stress and production deficits. We note that strategic interventions like expanding harvested areas could mitigate risks, but sustainable water use is crucial. Iran, Venezuela, Sub-Saharan Africa, Saudi Arabia, and parts of Southeastern Asia are projected to face persistent production deficits and high import dependency by the mid-21st century. We underscore the paramount importance for water-saving technologies and effective governance to balance crop production and water use, particularly in regions prone to water scarcity. Thanks to AdrijaRoy for leading the effort, and our co-authors, MesfinMekonnen, @HamedMoftakhari, @nickmags13 for their contributions.
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RT @SoheilRadfar: Excited to share my recent interview with @AGU_Eos on our research w/ @HamedMoftakhari & @HamidMoradkhani into #marine_he…
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Honored to share that I have been elected as a Fellow of the American Geophysical Union (AGU). This recognition is a testament to the dedication and hard work of my past and present mentees and collaborators, whose contributions have been crucial in achieving this milestone. Excited to celebrate this achievement with the AGU community at the upcoming Fall Meeting in Washington, D.C., December 9-13, 2024. Grateful for your ongoing support. @theAGU @Hydrology_AGU
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RT @shirzaei: **** Postdoctoral Research Position **** Supported DoD (@DeptofDefense), @EOI_lab and @HIRSlab of @VT_Science are establishin…
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RT @Kjafarza: Job Alert! Please help spread the word! I’m looking to recruit one or two Ph.D. students to join my Hydrological Extremes Lab…
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Our paper on hydropower vulnerability to drought with environmental impacts has caught the attention of media indicating its importance @YahooNews
@cleantechnica
@thecolumbian
@TheEnergyMix
@EnergiMedia
@OPB
@TheBendBulletin
@NewsfromtheStates
@SalemReporter
Let's not take drought impact lightly! Over the past two decades droughts amounted to approximately $28 billion loss in hydropower generation across the United States, let alone its adverse environmental impact often compensated by reliance on natural gas.
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RT @SoheilRadfar: 🚨Our new article in @CommsEarth: Hurricanes in the Gulf of Mexico and Caribbean Sea are 50% more likely to rapidly intens…
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RT @FranciscoG960: Proud to share my first research article of my PhD on Probabilistic Flood Inundation Mapping!. Grateful to @Kjafarza, @H…
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RT @davidmunozpauta: ‼️Interested in the sources of uncertainty of #compound_flooding? 🤔Check out our publication in @EGU_HESS with @HamedM…
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Another contribution of our team in developing a GAN Deep Learning for Flash Drought Monitoring
Excited to share our recently published study in Water Resources Research on developing a Generative Adversarial Network for Flash Drought Monitoring (DroGAN) at the continental scale. Check out the full paper: @GavahiKeyhan @HamidMoradkhani @theAGU
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RT @CommsEarth: Generation of synthetic extreme surges along the contiguous United States coastlines provides realistic #StormSurge event p…
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Glad to see that our ChatGPT paper in Hydrology and Earth Sciences was featured among the top 5 read articles in 2023. Thanks to @theAGU for spreading the words and the coauthors for their contributions @EhsanForoumandi, Xavier Sanchez, Kamini Singha, @hydroaholics, Gia Destouni
In a new editorial, Foroumandi et al. discuss the opportunities, limitations, and concerns of using #ChatGPT in hydrology and the Earth sciences. Check it out: (4/6)
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