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
Copyright © [codevz_year]

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

Our recent paper in Communications Earth and Environment, Dynamic Bivariate Hazard Forecasting of Hurricanes for Improved Disaster Preparedness

Avatar for Hamid MoradkhaniHamid MoradkhaniJanuary 8, 2024
Hurricanes associated with strong winds and heavy rainfall, significantly impact lives and property globally. Traditional ... Read More

Our recent paper in Water Resources Research, ChatGPT in Hydrology and Earth Sciences: Opportunities, Prospects, and Concerns

Avatar for Hamid MoradkhaniHamid MoradkhaniOctober 20, 2023
The emergence of large language models (LLMs), such as ChatGPT, has garnered significant attention, particularly ... 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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