Title | ||
---|---|---|
Assimilation of Synthetic Remotely Sensed Soil Moisture in Environment Canada's MESH Model |
Abstract | ||
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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 Xu | 1 | 0 | 1.01 |
Bryan A. Tolson | 2 | 81 | 6.66 |
Jonathan Li | 3 | 798 | 119.18 |
Bruce Davison | 4 | 0 | 1.01 |