Dr. Moradkhani
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    • Hydrologic Data Assimilation
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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 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

Our recent paper in Environmental Modelling & Software, Ensemble data assimilation for operational streamflow predictions in the next generation (NextGen) framework.

Avatar for Hamid MoradkhaniHamid MoradkhaniJanuary 29, 2025
The National Weather Service (NWS) operates the National Water Model (NWM) to provide continental-scale streamflow ... Read More

Prof.  Moradkhani was honored as an AGU Fellow at the 2024 AGU annual meeting.

Avatar for Hamid MoradkhaniHamid MoradkhaniJanuary 29, 2025

Our recent paper in Expert Systems with Applications, A Probabilistic Machine Learning Framework for daily Extreme Events Forecasting

Avatar for Hamid MoradkhaniHamid MoradkhaniJanuary 29, 2025
Forecasting daily extreme events is crucial, particularly amidst the escalating severity of tropical storms and ... 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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