Title | ||
---|---|---|
Statistical Models of Sea Surface Salinity in the South China Sea Based on SMOS Satellite Data. |
Abstract | ||
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Study of sea surface salinity (SSS) plays an important role in the marine ecosystem, estimation of global ocean circulation and observation of fisheries, aquaculture, coral reef, and sea grass habitats. Three statistical methods applied without considering the physical effects of the input parameters are proposed to calculate SSS from Soil Moisture and Ocean Salinity (SMOS)measured brightness temp... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/JSTARS.2016.2537318 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Sea measurements,Data models,Salinity (geophysical),Ocean temperature,Temperature measurement,Satellites | Principal component regression,Sea surface temperature,World Ocean Atlas,Argo,Ocean current,Salinity,SSS*,Climatology,Mathematics,Linear regression | Journal |
Volume | Issue | ISSN |
9 | 6 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Changjun Li | 1 | 1 | 1.71 |
Hong Zhao | 2 | 105 | 16.53 |
Hongping Li | 3 | 0 | 0.68 |
Kebo Lv | 4 | 1 | 1.11 |