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 Natural Hazards, Urban Flood Susceptibility Mapping Using Frequency Ratio and Multiple Decision Tree‑based Machine Learning Models

Avatar for Hamid MoradkhaniHamid MoradkhaniApril 25, 2024
Machine learning (ML) models, particularly decision tree (DT)-based algorithms, are being increasingly utilized for flood ... Read More

Our recent paper in Coastal Engineering Journal, A metastatistical frequency analysis of extreme storm surge hazard along the US coastline

Avatar for Hamid MoradkhaniHamid MoradkhaniApril 3, 2024
Frequency analysis of extreme storm surge is crucial for coastal flood risk assessments. To date, ... Read More

Fatemeh Rezaei and Ali Sattari were honored as the AGU 2023 Outstanding Student Presentation Awardees

Avatar for Hamid MoradkhaniHamid MoradkhaniMarch 24, 2024
Pleased to see that two of our PhD Students, Fatemeh Rezaei and Ali Sattari were ... Read More

Our recent paper in Natural Hazards and Earth System Sciences Discussions, Probabilistic Flood Inundation Mapping through Copula Bayesian Multi-Modelling of Precipitation Products

Avatar for Hamid MoradkhaniHamid MoradkhaniFebruary 24, 2024
Accurate prediction and assessment of extreme flood events are crucial for effective disaster preparedness, response, ... 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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