Hydrologic Sciences and remote sensing
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
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.
Aug 2020, Ardeshir Ebtehaj's proposal to the Legislative
Citizen Commission on Minnesota Resources (LCCMR) is selected for funding to advance the knowledge and develop technologies for remote sensing of microplastics in surface waters.
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. NEW OPPORTUNITY!
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!