Hydrologic data assimilation with a hillslope-scale-resolving model and L band radar observations: Synthetic experiments with the ensemble Kalman filter

Hydrologic data assimilation with a hillslope-scale-resolving model and L band radar observations: Synthetic experiments with the ensemble Kalman filter

[1] Soil moisture information is critical for applications like landslide susceptibility analysis and military trafficability assessment. Existing technologies cannot observe soil moisture at spatial scales of hillslopes (e.g., 100 to 102 m) and over large areas (e.g., 102 to 105 km2) with sufficien...

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Bibliographic Details
Main Authors: Flores, Alejandro N., Bras, Rafael L., Entekhabi, Dara
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Language:en_US
Published: American Geophysical Union 2013
Online Access:http://hdl.handle.net/1721.1/77898
https://orcid.org/0000-0002-8362-4761

Internet

http://hdl.handle.net/1721.1/77898
https://orcid.org/0000-0002-8362-4761

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