108 citations · 422 across the 22 of their papers we have counts for
6 papers · 1 filter
A multi-sensor data-driven methodology for all-sky passive microwave inundation retrieval
Zeinab Takbiri, Ardeshir M Ebtehaj, Efi Foufoula-Georgiou
We present a multi-sensor Bayesian passive microwave retrieval algorithm for flood inundation mapping at high spatial and temporal resolutions. The algorithm takes advantage of obs…
Compressive Earth Observatory: An Insight from AIRS/AMSU Retrievals
Ardeshir Mohammad Ebtehaj, Efi Foufoula-Georgiou, Gilad Lerman +1
We demonstrate that the global fields of temperature, humidity and geopotential heights admit a nearly sparse representation in the wavelet domain, offering a viable path forward t…
Shrunken Locally Linear Embedding for Passive Microwave Retrieval of Precipitation
Ardeshir Mohammad Ebtehaj, Rafael Luis Bras, Efi Foufoula-Georgiou
This paper introduces a new Bayesian approach to the inverse problem of passive microwave rainfall retrieval. The proposed methodology relies on a regularization technique and make…
Variational Data Assimilation via Sparse Regularization
A. M. Ebtehaj, M. Zupanski, G. Lerman +1
This paper studies the role of sparse regularization in a properly chosen basis for variational data assimilation (VDA) problems. Specifically, it focuses on data assimilation of n…
Variational Downscaling, Fusion and Assimilation of Hydrometeorological States via Regularized Estimation
Ardeshir Mohammad Ebtehaj, Efi Foufoula-Georgiou
Improved estimation of hydrometeorological states from down-sampled observations and background model forecasts in a noisy environment, has been a subject of growing research in th…
Non-Smooth Variational Data Assimilation with Sparse Priors
Ardeshir M. Ebtehaj, Efi Foufoula-Georgiou, Sara Q. Zhang +1
This paper proposes an extension to the classical 3D variational data assimilation approach by explicitly incorporating as a prior information, the transform-domain sparsity observ…