A
Ardeshir Ebtehaj
Researcher at University of Minnesota
Publications - 60
Citations - 688
Ardeshir Ebtehaj is an academic researcher from University of Minnesota. The author has contributed to research in topics: Data assimilation & Computer science. The author has an hindex of 13, co-authored 48 publications receiving 397 citations. Previous affiliations of Ardeshir Ebtehaj include National Center for Earth-surface Dynamics & Utah State University.
Papers
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Journal ArticleDOI
Microwave retrievals of terrestrial precipitation over snow-covered surfaces: a lesson from the GPM satellite.
Ardeshir Ebtehaj,C. D. Kummerow +1 more
TL;DR: In this paper, the authors demonstrate that microwave brightness temperatures of rain and snowfall transition from a scattering to an emission regime from summer to winter, due to expansion of less emissive snow cover.
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Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite
TL;DR: In this article, a combined constrained multi-channel algorithm (C-CMCA) is presented for simultaneous retrieval of soil moisture (SM) and vegetation optical depth (VOD) in L-band with improved resolution.
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Shrunken Locally Linear Embedding for Passive Microwave Retrieval of Precipitation
TL;DR: A new Bayesian approach to the inverse problem of passive microwave rainfall retrieval, called the shrunken locally linear embedding algorithm for retrieval of precipitation (ShARP), which relies on a regularization technique and makes use of two joint dictionaries of coincident rainfall profiles and their corresponding upwelling spectral radiative fluxes.
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A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison
Xiaojun Li,Jean-Pierre Wigneron,Lei Fan,Frédéric Frappart,Simon Yueh,Andreas Colliander,Ardeshir Ebtehaj,Lun Gao,Roberto Fernandez-Moran,Xiangzhuo Liu,Mengjia Wang,Hongliang Ma,Christophe Moisy,Philippe Ciais +13 more
TL;DR: In this paper , a new mono-angle retrieval algorithm, SMAP-INRAE-BORDEAUX (SMAP-IB), was proposed to estimate global surface soil moisture (SM) and vegetation water content (via the vegetation optical depth, VOD), which are essential to monitor the Earth water and carbon cycles.
Journal ArticleDOI
Linking Global Changes of Snowfall and Wet-Bulb Temperature
TL;DR: In this paper, the authors studied the role of snowfall in the global cryosphere and found that snowfall is one of the primary drivers of the global climate change and is declining in many regions of the world with widespread hydrological and ecological consequences.