Ardeshir Ebtehaj
Titel
Zitiert von
Zitiert von
Jahr
Rule-based fuzzy system for assessing groundwater vulnerability
A Afshar, MA Marino, M Ebtehaj, J Moosavi
Journal of Environmental Engineering 133 (5), 532-540, 2007
552007
Improving robustness of hydrologic parameter estimation by the use of moving block bootstrap resampling
M Ebtehaj, H Moradkhani, HV Gupta
Water Resources Research 46 (7), 2010
502010
Shrunken Locally Linear Embedding for Passive Microwave Retrieval of Precipitation
AM Ebtehaj, RL Bras, E Foufoula-Georgiou
IEEE Transactions on Geoscience and Remote Sensing 53 (7), 3720-3763, 2015
242015
Sparse regularization for precipitation downscaling
AM Ebtehaj, E Foufoula‐Georgiou, G Lerman
Journal of Geophysical Research: Atmospheres 117 (D8), 2012
202012
Orographic signature on multiscale statistics of extreme rainfall: A storm‐scale study
M Ebtehaj, E Foufoula‐Georgiou
Journal of Geophysical Research: Atmospheres 115 (D23), 2010
202010
Dynamical precipitation downscaling for hydrologic applications using WRF 4D-Var data assimilation: Implications for GPM era
LF Lin, AM Ebtehaj, RL Bras, AN Flores, J Wang
Journal of Hydrometeorology 16 (2), 811-829, 2015
192015
On variational downscaling, fusion, and assimilation of hydrometeorological states: A unified framework via regularization
AM Ebtehaj, E Foufoula‐Georgiou
Water Resources Research 49 (9), 5944-5963, 2013
192013
Combined assimilation of satellite precipitation and soil moisture: A case study using TRMM and SMOS data
LF Lin, AM Ebtehaj, AN Flores, S Bastola, RL Bras
Monthly Weather Review 145 (12), 4997-5014, 2017
162017
Microwave retrievals of terrestrial precipitation over snow‐covered surfaces: A lesson from the GPM satellite
AM Ebtehaj, CD Kummerow
Geophysical Research Letters 44 (12), 6154-6162, 2017
162017
Soil moisture background error covariance and data assimilation in a coupled land‐atmosphere model
LF Lin, AM Ebtehaj, J Wang, RL Bras
Water Resources Research 53 (2), 1309-1335, 2017
162017
Downscaling Satellite Precipitation with Emphasis on Extremes: A Variational ℓ1-Norm Regularization in the Derivative Domain
E Foufoula-Georgiou, AM Ebtehaj, SQ Zhang, AY Hou
The Earth's Hydrological Cycle, 765-783, 2013
162013
Variational Data Assimilation via Sparse Regularisation
Ebtehaj, Zupanski, Lerman, Foufoula-Georgiou
Tellus A 66 (21789), 2014
15*2014
Statistics of precipitation reflectivity images and cascade of Gaussian‐scale mixtures in the wavelet domain: A formalism for reproducing extremes and coherent multiscale …
M Ebtehaj, E Foufoula‐Georgiou
Journal of Geophysical Research: Atmospheres 116 (D14), 2011
122011
Adaptive fusion of multisensor precipitation using Gaussian‐scale mixtures in the wavelet domain
AM Ebtehaj, E Foufoula‐Georgiou
Journal of Geophysical Research: Atmospheres 116 (D22), 2011
112011
Evaluation of ShARP passive rainfall retrievals over snow-covered land surfaces and coastal zones
AM Ebtehaj, RL Bras, E Foufoula-Georgiou
Journal of Hydrometeorology 17 (4), 1013-1029, 2016
102016
Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite
L Gao, M Sadeghi, A Ebtehaj
Remote Sensing of Environment 239 (111662), 2020
82020
Coping with model error in variational data assimilation using optimal mass transport
L Ning, FP Carli, AM Ebtehaj, E Foufoula‐Georgiou, TT Georgiou
Water Resources Research 50 (7), 5817-5830, 2014
82014
Spatial scale gap filling using an unmanned aerial system: A statistical downscaling method for applications in precision agriculture
L Hassan-Esfahani, AM Ebtehaj, A Torres-Rua, M McKee
Sensors 17 (9), 2106, 2017
72017
Global estimates of land surface water fluxes from SMOS and SMAP satellite soil moisture data
M Sadeghi, A Ebtehaj, WT Crow, L Gao, AJ Purdy, JB Fisher, SB Jones, ...
Journal of Hydrometeorology 21 (2), 241-253, 2020
62020
A physically constrained inversion for high-resolution passive microwave retrieval of soil moisture and vegetation water content in L-band
A Ebtehaj, B Rafael L.
Remote Sensing of Environment 233, 2019
62019
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