Name
Title | ||
|---|---|---|
The Role of Advanced Microwave Scanning Radiometer 2 Channels within an Optimal Estimation Scheme for Sea Surface Temperature. |
Abstract | ||
|---|---|---|
We present an analysis of information content for sea surface temperature (SST) retrieval from the Advanced Microwave Scanning Radiometer 2 (AMSR2). We find that SST uncertainty of approximate to 0.37 K can be achieved within an optimal estimation framework in the presence of wind, water vapour and cloud liquid water effects, given appropriate assumptions for instrumental uncertainty and prior knowledge, and using all channels. We test all possible combinations of AMSR2 channels and demonstrate the importance of including cloud liquid water in the retrieval vector. The channel combinations, with the minimum number of channels, that carry most SST information content are calculated, since in practice calibration error drives a trade-off between retrieved SST uncertainty and the number of channels used. The most informative set of five channels is 6.9 V, 6.9 H, 7.3 V, 10.7 V and 36.5 H and these are suitable for optimal estimation retrievals. We discuss the relevance of microwave SSTs and issues related to them compared to SSTs derived from infra-red observations. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/rs10010090 | REMOTE SENSING |
Keywords | Field | DocType |
AMSR2,sea surface temperature,optimal estimation | Microwave,Liquid water,Sea surface temperature,Remote sensing,Communication channel,Optimal estimation,Geology,Water vapor,Cloud computing,Radiometer | Journal |
Volume | Issue | ISSN |
10 | 1 | 2072-4292 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kevin Pearson | 1 | 0 | 0.68 |
| Christopher J. Merchant | 2 | 1 | 4.08 |
| Owen Embury | 3 | 0 | 2.37 |
| craig j donlon | 4 | 5 | 8.14 |