Amir Mazrooei

Welcome to my personal website! I’m an associate scientist in RAL at NCAR working with the WRF-Hydro team.

In general, my interests and experiences are in:

  • Operational hydrologic forecasting
  • Machine Learning application in hydrology
  • Hydrological Data Assimilation
  • Spatial/Temporal Downscaling methods
  • Geospatial Data Analyses
  • Remote Sensing
  • Uncertainty Quantification
  • Education

  • Ph.D. in Water Resources Engineering, North Carolina State University
  • Graduate Certificate in Geospatial Information Science (GIS), North Carolina State University
  • B.S. in Civil Engineering, Sharif University of Technology

  • Projects

    NWM PROJECTS

    NWM ET Assessment:
  • ET_NWM_vs_AmeriFlux
  • ET_NWM_vs_MODIS
  • ET_NWM_vs_MODIS_timeseries

  • MORE TO COME SOON ...


    Publication

  • A. Mazrooei, Arumugam S., and Lakshmi V., Technical Note: Evaluation of the Skill in Monthly-to-Seasonal Soil Moisture Forecasting Based on SMAP Satellite Observations over the Southeast US, Hydrology and Earth System Sciences. doi:10.5194/hess-24-1073-2020
  • Mazrooei, A., and A. Sankarasubramanian (2019), Improving Monthly Streamflow Forecasts through Assimilation of Observed Streamflow for Rainfall-Dominated Basins across the CONUS. Journal of Hydrology. doi:10.1016/j.jhydrol.2019.05.071
  • Mazrooei, A., and A. Sankarasubramanian (2017), Utilizing probabilistic downscaling methods to develop streamflow forecasts from climate forecasts, Journal of Hydrometeorology. doi:10.1175/JHM-D-17-0021.1.
  • Mazrooei, A., T. Sinha, A. Sankarasubramanian, S. Kumar, and C. D. Peters-Lidard (2015), Decomposition of sources of errors in seasonal streamflow forecasting over the U.S. Sunbelt, Journal of Geophysical Research: Atmospheres. doi:10.1002/2015JD023687
  • Sinha T., A. Sankarasubramanian, and A. Mazrooei (2014), Decomposition of sources of errors in monthly to seasonal streamflow forecasts in a rainfall-runoff regime, Journal of Hydrometeorology. doi:10.1175/JHM-D-13-0155.1