Title
Assimilation of Synthetic Remotely Sensed Soil Moisture in Environment Canada's MESH Model
Abstract
With recent advances in satellite microwave soil moisture estimation, particularly the launch of the Soil Moisture and Ocean Salinity satellite and the soil moisture active passive mission, there is an increased demand for exploiting the potential of satellite microwave soil moisture observations to improve the predictive capability of hydrologic and land surface models. This study presents the im...
Year
DOI
Venue
2017
10.1109/JSTARS.2016.2626256
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Predictive models,Soil moisture,Satellites,Land surface,Data models,Remote sensing
Data modeling,Assimilation (phonology),Microwave,Canadian Land Surface Scheme,Satellite,Mesh model,Remote sensing,Water content,Ensemble Kalman filter,Mathematics
Journal
Volume
Issue
ISSN
10
4
1939-1404
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Xiaoyong Xu101.01
Bryan A. Tolson2816.66
Jonathan Li3798119.18
Bruce Davison401.01