Hydrologic Sciences and remote sensing
Hydrologic sciences and remote Sensing (HydSens) laboratory is an academic team in the Saint Anthony Falls Laboratory (SAFL) at the University of Minnesota.
The overarching goal is to better understand the physical laws of hydrologic water cycle and provide modern solutions for sustainability across water, food, and energy systems.
July 2020, Ardeshir Ebtehaj received funding from NASA's Remote Sensing Theory (RST) program in Earth Science to advance our knowledge in inversion of land and atmospheric radiative transfer models for improved remote sensing of frozen components of the hydrologic cycle using satellite data.
May 2020: We released a new global data set of monthly changes in surface soil moisture using the observations by the NASA's Gravity Recovery and Climate Experiment (GRACE) satellite.
May 2020, Ardeshir Ebtehaj received funding from NASA's Interdisciplinary Science (IDS) program in Earth Science to expand our understanding of the global life cycle of snow using satellite data. The project aims to better understand microwave signals of high-latitude snowfall to improve monitoring of changes of hydrologic water cycle in polar regions. NEW OPPORTUNITY!
August 2019, Ardeshir is invited to present the results
of the HydSens' research on high-resolution retrievals
of soil moisture and vegetation optical depth from space at NASA's Jet Propulsion Laboratory.
July 2019, Ardeshir received an Editor Award from the American Meteorological Society (AMS). The award presentation will take place in 100th AMS annual meeting.
University of Minnesota
College of Science & Engineering
Department of Civil, Environmental and Geo-Engineering
Saint Anthony Falls Laboratory
Tel: (612) 301-1483
Office: 378 (SAFL), 162 (CEGE)
Curriculum Vitae: (PDF)
Physical and data-science hydrology, geophysical inverse problems, data assimilation, satellite hydrology, land-atmosphere interactions, precipitation, soil moisture, climate intelligence, statistical learning, mathematical optimization, image processing, and geospatial big-data analytics.
Postdoctoral Research, Georgia Institute of Technology
Ph.D., University of Minnesota, Water Resources and Hydrology
M.Sc., University of Minnesota, Mathematics
M.Sc., Iran University of Science and Tech., Environmental Engineering
M.Sc., Iran University of Science and Tech., Structural Engineering
B.Sc., Iran University of Science and Tech., Civil Engineering