D
Dara Entekhabi
Researcher at Massachusetts Institute of Technology
Publications - 435
Citations - 26643
Dara Entekhabi is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Water content & Radiometer. The author has an hindex of 72, co-authored 415 publications receiving 22667 citations. Previous affiliations of Dara Entekhabi include Vassar College & The New School.
Papers
More filters
Journal ArticleDOI
The Soil Moisture Active Passive (SMAP) Mission
Dara Entekhabi,Eni G. Njoku,Peggy O'Neill,Kent Kellogg,Wade T. Crow,W. Edelstein,Jared Entin,Shawn D Goodman,Thomas J. Jackson,Joel T. Johnson,John S. Kimball,Jeffrey R. Piepmeier,Randal D. Koster,Neil R.W. Martin,Kyle C. McDonald,Mahta Moghaddam,Susan Moran,Rolf H. Reichle,Jiancheng Shi,Michael W. Spencer,Samuel W Thurman,Leung Tsang,Jakob van Zyl +22 more
TL;DR: The Soil Moisture Active Passive mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council's Decadal Survey to make global measurements of the soil moisture present at the Earth's land surface.
The Relationship Between Recent Arctic Amplification and Extreme Mid-Latitude Weather
Judah Cohen,James A. Screen,Jason C. Furtado,Mathew Barlow,David Whittleston,Dim Coumou,Jennifer A. Francis,Klaus Dethloff,Dara Entekhabi,James E. Overland +9 more
Journal ArticleDOI
Recent Arctic amplification and extreme mid-latitude weather
Judah Cohen,James A. Screen,Jason C. Furtado,Mathew Barlow,David Whittleston,Dim Coumou,Jennifer A. Francis,Klaus Dethloff,Dara Entekhabi,James E. Overland,Justin Jones +10 more
TL;DR: In this paper, the authors show that the rapid Arctic warming has contributed to dramatic melting of Arctic sea ice and spring snow cover, at a pace greater than that simulated by climate models.
Journal ArticleDOI
Hydrologic Data Assimilation with the Ensemble Kalman Filter
TL;DR: In this paper, the performance of the ensemble Kalman filter (EnKF) for soil moisture estimation is assessed by assimilating L-band (1.4 GHz) microwave radiobrightness observations into a land surface model.
Journal ArticleDOI
Passive microwave remote sensing of soil moisture
Eni G. Njoku,Dara Entekhabi +1 more
TL;DR: In this article, the basic principles of the passive microwave technique for soil moisture sensing, and review briefly the status of current retrieval methods are discussed. But, the most useful frequency range for ground sensing is 1-5 GHz.