Dr. Moradkhani
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    • Hydrologic Data Assimilation
    • Drought Monitoring and Forecasting
    • Drought Vulnerability, Mortality, Risk and Recovery
    • Flood Monitoring, Forecasting and Inundation Modeling
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    • Baseflow Data by Deep Learning
    • Database for hydrology research between 1980 and 2023
    • Multi-Source Precipitation Data Fusion
    • Downscaled Soil Moisture Product
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Dr. Moradkhani
  • Home
  • About
  • News
  • Research
    • Hydrologic Data Assimilation
    • Drought Monitoring and Forecasting
    • Drought Vulnerability, Mortality, Risk and Recovery
    • Flood Monitoring, Forecasting and Inundation Modeling
    • Machine Learning, Deep Learning, and Data Analytics
    • Hydroclimatic Hazard, Vulnerability and Risk
    • Climate Change Impact
  • Publications
  • People
  • Courses
  • Software
  • Data
    • Baseflow Data by Deep Learning
    • Database for hydrology research between 1980 and 2023
    • Multi-Source Precipitation Data Fusion
    • Downscaled Soil Moisture Product
  • Contact
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Our recent paper in International Journal of Disaster Risk Reduction, A Data-driven Framework for an Efficient Block-Level Coastal Flood Risk Assessment

Avatar for Hamid MoradkhaniHamid MoradkhaniApril 9, 2025
The escalating global frequency and severity of disasters highlight the need for regional to national ... Read More

Our recent paper in Sustainable Cities and Society, A Surrogate Machine Learning Modeling Approach for Enhancing the Efficiency of Urban Flood Modeling at Metropolitan Scales

Avatar for Hamid MoradkhaniHamid MoradkhaniMarch 11, 2025
Urban drainage systems in metropolitan areas are highly complex, posing significant challenges for effective stormwater ... Read More

Congrats to Ehsan Foroumandi for being selected as a recipient of Graduate Council Fellowship after a competitive process! Keep up the great work Ehsan!

Avatar for Hamid MoradkhaniHamid MoradkhaniJanuary 29, 2025

Our recent paper in Scientific Data, DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States.

Avatar for Hamid MoradkhaniHamid MoradkhaniJanuary 29, 2025
High quality baseflow data is important for advancing water resources modeling and management, as it ... Read More

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  • Home
  • About
  • News
  • Research
    • Hydrologic Data Assimilation
    • Drought Monitoring and Forecasting
    • Drought Vulnerability, Mortality, Risk and Recovery
    • Flood Monitoring, Forecasting and Inundation Modeling
    • Machine Learning, Deep Learning, and Data Analytics
    • Hydroclimatic Hazard, Vulnerability and Risk
    • Climate Change Impact
  • Publications
  • People
  • Courses
  • Software
  • Data
    • Baseflow Data by Deep Learning
    • Database for hydrology research between 1980 and 2023
    • Multi-Source Precipitation Data Fusion
    • Downscaled Soil Moisture Product
  • Contact
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