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
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]
iScience

Our paper in iScience, Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting

Avatar for Hamid MoradkhaniHamid MoradkhaniOctober 27, 2022
This perspective discusses the importance of characterizing, quantifying, and accounting for various sources of uncertainties ... Read More
hamid moradkhani

Dr. Moradkhani Named Robert E. Horton Lecturer in Hydrology

Avatar for Hamid MoradkhaniHamid MoradkhaniAugust 29, 2022
Atieh new

Our paper in Environmental Modelling & Software, Global sensitivity analysis in hydrodynamic modeling and flood inundation mapping

Avatar for Hamid MoradkhaniHamid MoradkhaniApril 14, 2022
Flood simulation with two-dimensional hydrodynamic models is subject to different sources of uncertainties in model ... Read More
Keyhan nw2

Our paper in Science of The Total Environment, How does precipitation data influence the land surface data assimilation for drought monitoring?

Avatar for Hamid MoradkhaniHamid MoradkhaniMarch 29, 2022
Droughts are among the costliest natural hazards that occur annually worldwide. Their socioeconomic impacts are significant and ... Read More

Posts pagination

1 … 10 11 12 … 20
  • 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
Skip to content
Open toolbar

Accessibility Tools

  • Increase Text
  • Decrease Text
  • Grayscale
  • High Contrast
  • Negative Contrast
  • Light Background
  • Links Underline
  • Readable Font
  • Reset