A comparison analysis of six sea surface temperature products

JIANG Xingwei; XI Meng; SONG Qingtao

doi:10.3969/j.issn.0253-4193.2013.04.011

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JIANG Xingwei, XI Meng, SONG Qingtao. A comparison analysis of six sea surface temperature products[J]. Haiyang Xuebao, 2013, 35(4): 88-97. doi: 10.3969/j.issn.0253-4193.2013.04.011

Citation:

JIANG Xingwei, XI Meng, SONG Qingtao. A comparison analysis of six sea surface temperature products[J]. Haiyang Xuebao, 2013, 35(4): 88-97. doi: 10.3969/j.issn.0253-4193.2013.04.011

JIANG Xingwei, XI Meng, SONG Qingtao. A comparison analysis of six sea surface temperature products[J]. Haiyang Xuebao, 2013, 35(4): 88-97. doi: 10.3969/j.issn.0253-4193.2013.04.011

Citation:

JIANG Xingwei, XI Meng, SONG Qingtao. A comparison analysis of six sea surface temperature products[J]. Haiyang Xuebao, 2013, 35(4): 88-97. doi: 10.3969/j.issn.0253-4193.2013.04.011

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A comparison analysis of six sea surface temperature products

doi: 10.3969/j.issn.0253-4193.2013.04.011

National Satellite Ocean Application Service, State Oceanic Administration, Beijing 100081, China

Received Date: 2012-05-03
Rev Recd Date: 2013-03-05

Abstract

Abstract

Sea surface temperature (SST) products are important data sources for global ocean atmosphere system studies, and of great importance for research and applications in marine related fields. Six SST analysis products (AVHRR-only, AMSR+AVHRR, NCODA, RSS, RTG-HR and OSTIA) are compared and evaluated for January and July 2007 near the Agulhas Return Current (ARC) in the south Indian Ocean and the circumpolar circulation regions.The characteristics of the six products are compared in terms of monthly averaged SST analysis, SST gradient, statistical parameter analysis and wavenumber spectra analysis. These results suggest that the overall trend of the variability changes of the SST products is consistent. However, the RTG-HR analysis is much smoother than the other analyses, oceanic front from the OSTIA analysis is the weakest, the RSS is much noisier, and the NCODA analysis exhibits apparent bias. With sufficient satellite infrared observations under cloud-free conditions, it is found that microwave AMSR observations cannot provide more additional SST information, otherwise it will reduce the spatial variability of the SST products.
- sea surface temperature,
- sea surface temperature gradient,
- statistical parameter,
- wavenumber spectra

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References(17)

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