Name
Abstract | ||
|---|---|---|
Wind stress is an important parameter in generating the ocean surface currents. Here, for the first time, we directly estimate this parameter at the ocean surface using all the observations from AltiKa and the accompanying radiometer that affect the wind stress estimates and radar signal propagation through the atmosphere. For this purpose, we used an artificial neural network approach using in si... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LGRS.2016.2547969 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Stress,Sea surface,Ocean temperature,Sea measurements,Radar measurements,Spaceborne radar | Meteorology,Atmosphere,Wind stress,Altimeter,Wind speed,Sea surface temperature,Remote sensing,Ocean current,Standard deviation,Mathematics,Radiometer | Journal |
Volume | Issue | ISSN |
13 | 6 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali, M.M. | 1 | 1 | 0.96 |
| Mark A. Bourassa | 2 | 34 | 15.04 |
| Suchandra Aich Bhowmick | 3 | 8 | 2.14 |
| Rashmi Sharma | 4 | 16 | 4.70 |
| K. Niharika | 5 | 0 | 0.34 |