Hydrologic Sciences and remote sensing Website  | experts@Minnesota |  Google Scholar Citations 

Environmental and Water Resources—physical and data science hydrology, satellite hydrology, remote sensing, land-atmosphere interactions, climate intelligence, and big earth-data analytics

The overarching goal is to provide modern solutions for challenges in sustainable use of water, food, and energy resources. The main focus is on state-of-the-art data and physical science approaches that allow us to better understand land-atmosphere interactions by extracting and integrating the knowledge of remote sensing big-data with the skills of physical models of hydrologic and agricultural systems.

Education

Ph.D., 2013, Civil Engineering, University of Minnesota

M.S., 2013, Mathematics, University of Minnesota

M.Sc., 2001, Environmental Engineering, Iran University of Science and Technology

B.Sc., 1999, Civil Engineering, Iran University of Science and Technology

Professional Background

Assistant Professor of Engineering, Department of Civil and Environmental Engineering, Utah State University, 2015-2016

Postdoctoral Research Fellow, Georgia Institute of Technology, 2013-2015

Research Assistant, University of Minnesota, 2008-2013

Selected Publications

Ebtehaj, A.M., R. L. Bras (2019), A Physically Constrained Inversion for Super-resolved Passive Microwave Retrieval of Soil Moisture and Vegetation Water Content in L-band, Remote Sensing of Environment, doi: 10.1016/j.rse.2019.111346, arxiv 1806.03298.

Ebtehaj. A.M. , C. D. Kummerow, F. J. Turk (2019), Metric Learning for Approximation of Microwave Channel Error Covariance: Application for Satellite Retrieval of Drizzle and Light Snowfall, IEEE Trans. on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2019.2941682.

Tamang S.K., A.M. Ebtehaj, A. F. Prein, A. J. Heymsfield (2019), Linking Global Changes of Snowfall and Wet-bulb Temperature, Journal of Climate, doi: 10.1175/JCLI-D-19-0254.1, arxiv 1905.07776.

Ebtehaj, A. M. and C. D. Kummerow (2017), Microwave Retrievals of Terrestrial Precipitation over Snow Covered Surfaces: A Lesson from the GPM Satellite, Geophysical Research Letter, doi: 002/2017GL07345.

Ebtehaj, A.M., R.L. Bras, E. Foufoula-Georgiou (2016), Evaluation of ShARP passive rainfall retrievals over snow-covered land surfaces and coastal zones, J. Hydrometeor, 17, 1013–1029. doi: 10.1175/JHM-D-15-0164.1.

Ebtehaj A.M., E. Foufoula-Georgiou, G. Lerman, R. L. Bras (2015), Compressive Earth Observatory: An Insight from AIRS/AMSU Retrievals, Geophys. Res. Lett., 42, doi: 10.1002/2014GL062711

Ebtehaj A.M., R. L. Bras, E. Foufoula-Georgiou, (2015), Shrunken Locally Linear Embedding for Passive Microwave Retrieval of Precipitation, IEEE Trans. on Geosci. and Remote Sens., 99, doi: 10.1109/TGRS.2014.2382436

Lin L., A.M. Ebtehaj, R. L. Bras, A. Flores, J. Wang (2015), Dynamical precipitation downscaling for hydrologic applications via WRF 4D-var data assimilation with Implication in GPM era, J. Hydrometeor, 16, 811-829.

Ebtehaj, A.M., M. Zupanski, G. Lerman, E. Foufoula-Georgiou (2014), Variational data assimilation via sparse regularization, Tellus A, 2014, 66, 21789.