A Comparison of Satellite and In Situ–Based Sea Surface Temperature Climatologies
The purpose of this study is to present a satellite-derived sea surface temperature (SST) climatology based on Pathfinder Advanced Very High Resolution Radiometer (AVHRR) data and to evaluate it and several other climatologies for their usefulness in the determination of SST trends. The method of ev...
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ftunivrhodeislan:oai:digitalcommons.uri.edu:gsofacpubs-1260 2023-07-30T04:06:48+02:00 A Comparison of Satellite and In Situ–Based Sea Surface Temperature Climatologies Casey, Kenneth S. Cornillon, Peter C. 1999-01-01T08:00:00Z application/pdf https://digitalcommons.uri.edu/gsofacpubs/244 https://doi.org/10.1175/1520-0442(1999)012<1848:ACOSAI>2.0.CO;2 https://digitalcommons.uri.edu/context/gsofacpubs/article/1260/viewcontent/Casey_ComparisonSatellite_1999.pdf unknown DigitalCommons@URI https://digitalcommons.uri.edu/gsofacpubs/244 doi:10.1175/1520-0442(1999)012<1848:ACOSAI>2.0.CO;2 https://digitalcommons.uri.edu/context/gsofacpubs/article/1260/viewcontent/Casey_ComparisonSatellite_1999.pdf Graduate School of Oceanography Faculty Publications text 1999 ftunivrhodeislan https://doi.org/10.1175/1520-0442(1999)012<1848:ACOSAI>2.0.CO;2 2023-07-17T18:41:15Z The purpose of this study is to present a satellite-derived sea surface temperature (SST) climatology based on Pathfinder Advanced Very High Resolution Radiometer (AVHRR) data and to evaluate it and several other climatologies for their usefulness in the determination of SST trends. The method of evaluation uses two long-term observational collections of in situ SST measurements: the 1994 World Ocean Atlas (WOA94) and the Comprehensive Ocean–Atmosphere Data Set (COADS). Each of the SST climatologies being evaluated is subtracted from each raw SST observation in WOA94 and COADS to produce several separate long-term anomaly datasets. The anomaly dataset with the smallest standard deviation is assumed to identify the climatology best able to represent the spatial and seasonal SST variability and therefore be most capable of reducing the uncertainty in SST trend determinations. The satellite SST climatology was created at a resolution of 9.28 km using both day and night satellite fields generated with the version 4 AVHRR Pathfinder algorithm and cloud-masking procedures, plus an erosion filter that provides additional cloud masking in the vicinity of cloud edges. Using the statistical comparison method, the performance of this “Pathfinder + erosion” climatology is compared with the performances of the WOA94 1° in situ climatology, the Reynolds satellite and in situ blended 1° analysis, version 2.2 of the blended 1° Global Sea-Ice and Sea Surface Temperature (GISST) climatology, and the in situ 5° Global Ocean Surface Temperature Atlas (GOSTA). The standard deviation of the anomalies produced using the raw WOA94 in situ observations and the reference SST climatologies indicate that the 9.28-km Pathfinder + erosion climatology is more representative of spatial and seasonal SST variability than the traditional in situ and blended SST climatologies. For the anomalies created from the raw COADS observations, the Pathfinder + erosion climatology is also found to minimize variance more than the other climatologies. In both ... Text Sea ice University of Rhode Island: DigitalCommons@URI |
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description |
The purpose of this study is to present a satellite-derived sea surface temperature (SST) climatology based on Pathfinder Advanced Very High Resolution Radiometer (AVHRR) data and to evaluate it and several other climatologies for their usefulness in the determination of SST trends. The method of evaluation uses two long-term observational collections of in situ SST measurements: the 1994 World Ocean Atlas (WOA94) and the Comprehensive Ocean–Atmosphere Data Set (COADS). Each of the SST climatologies being evaluated is subtracted from each raw SST observation in WOA94 and COADS to produce several separate long-term anomaly datasets. The anomaly dataset with the smallest standard deviation is assumed to identify the climatology best able to represent the spatial and seasonal SST variability and therefore be most capable of reducing the uncertainty in SST trend determinations. The satellite SST climatology was created at a resolution of 9.28 km using both day and night satellite fields generated with the version 4 AVHRR Pathfinder algorithm and cloud-masking procedures, plus an erosion filter that provides additional cloud masking in the vicinity of cloud edges. Using the statistical comparison method, the performance of this “Pathfinder + erosion” climatology is compared with the performances of the WOA94 1° in situ climatology, the Reynolds satellite and in situ blended 1° analysis, version 2.2 of the blended 1° Global Sea-Ice and Sea Surface Temperature (GISST) climatology, and the in situ 5° Global Ocean Surface Temperature Atlas (GOSTA). The standard deviation of the anomalies produced using the raw WOA94 in situ observations and the reference SST climatologies indicate that the 9.28-km Pathfinder + erosion climatology is more representative of spatial and seasonal SST variability than the traditional in situ and blended SST climatologies. For the anomalies created from the raw COADS observations, the Pathfinder + erosion climatology is also found to minimize variance more than the other climatologies. In both ... |
format |
Text |
author |
Casey, Kenneth S. Cornillon, Peter C. |
spellingShingle |
Casey, Kenneth S. Cornillon, Peter C. A Comparison of Satellite and In Situ–Based Sea Surface Temperature Climatologies |
author_facet |
Casey, Kenneth S. Cornillon, Peter C. |
author_sort |
Casey, Kenneth S. |
title |
A Comparison of Satellite and In Situ–Based Sea Surface Temperature Climatologies |
title_short |
A Comparison of Satellite and In Situ–Based Sea Surface Temperature Climatologies |
title_full |
A Comparison of Satellite and In Situ–Based Sea Surface Temperature Climatologies |
title_fullStr |
A Comparison of Satellite and In Situ–Based Sea Surface Temperature Climatologies |
title_full_unstemmed |
A Comparison of Satellite and In Situ–Based Sea Surface Temperature Climatologies |
title_sort |
comparison of satellite and in situ–based sea surface temperature climatologies |
publisher |
DigitalCommons@URI |
publishDate |
1999 |
url |
https://digitalcommons.uri.edu/gsofacpubs/244 https://doi.org/10.1175/1520-0442(1999)012<1848:ACOSAI>2.0.CO;2 https://digitalcommons.uri.edu/context/gsofacpubs/article/1260/viewcontent/Casey_ComparisonSatellite_1999.pdf |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Graduate School of Oceanography Faculty Publications |
op_relation |
https://digitalcommons.uri.edu/gsofacpubs/244 doi:10.1175/1520-0442(1999)012<1848:ACOSAI>2.0.CO;2 https://digitalcommons.uri.edu/context/gsofacpubs/article/1260/viewcontent/Casey_ComparisonSatellite_1999.pdf |
op_doi |
https://doi.org/10.1175/1520-0442(1999)012<1848:ACOSAI>2.0.CO;2 |
_version_ |
1772819705912885248 |