Multi sensor validation and error characteristics of Arctic satellite sea surface temperature observations
Six of the operational global satellite sea surface temperature products from infrared and microwave sensors are validated in a consistent way in waters north of 60° N. The 15-month validation with drifting buoy in situ observations shows that data from the Advanced Along-Tracking Scanning Radiomete...
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| Veröffentlicht in: | Remote sensing of environment 2012-06, Vol.121, p.335-346 |
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| description | Six of the operational global satellite sea surface temperature products from infrared and microwave sensors are validated in a consistent way in waters north of 60° N. The 15-month validation with drifting buoy in situ observations shows that data from the Advanced Along-Tracking Scanning Radiometer (AATSR) on-board the ENVISAT satellite and NAVOCEANO data from the Advanced Very High Resolution Radiometer (AVHRR) on-board the NOAA 18 satellite are superior in terms of bias and standard deviation. The observations from the Advanced Microwave Scanning Radiometer-EOS (AMSR-E) on-board the Aqua satellite have superior coverage due to the microwaves' ability to penetrate cloud cover.
The performance of the different satellite products is examined for variation with season, water temperature, solar elevation angle, and proximity to the marginal ice zone. The validation results identify errors in the satellite products related to observation techniques, data processing and cloud masking. Temporal and spatial error scales are derived for all satellite products using the satellite versus in situ match-up dataset. Temporal error scales are typically between 1 and 2days and the characteristic spatial error scales between 300 and 500km. The error cross correlations between the different satellite products reveal that the products from the infrared sensors generally show significant error correlation, whereas the errors of the microwave AMSR-E product have a low correlation with all the products from the infrared sensors.
► In this paper we validate six operational satellite SST products for the Arctic. ► Error characteristics are calculated for cold waters and in the Marginal Ice zone. ► We determine the spatial and temporal scales of the satellite errors. |
| doi_str_mv | 10.1016/j.rse.2012.01.013 |
| format | Article |
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The performance of the different satellite products is examined for variation with season, water temperature, solar elevation angle, and proximity to the marginal ice zone. The validation results identify errors in the satellite products related to observation techniques, data processing and cloud masking. Temporal and spatial error scales are derived for all satellite products using the satellite versus in situ match-up dataset. Temporal error scales are typically between 1 and 2days and the characteristic spatial error scales between 300 and 500km. The error cross correlations between the different satellite products reveal that the products from the infrared sensors generally show significant error correlation, whereas the errors of the microwave AMSR-E product have a low correlation with all the products from the infrared sensors.
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The performance of the different satellite products is examined for variation with season, water temperature, solar elevation angle, and proximity to the marginal ice zone. The validation results identify errors in the satellite products related to observation techniques, data processing and cloud masking. Temporal and spatial error scales are derived for all satellite products using the satellite versus in situ match-up dataset. Temporal error scales are typically between 1 and 2days and the characteristic spatial error scales between 300 and 500km. The error cross correlations between the different satellite products reveal that the products from the infrared sensors generally show significant error correlation, whereas the errors of the microwave AMSR-E product have a low correlation with all the products from the infrared sensors.
► In this paper we validate six operational satellite SST products for the Arctic. ► Error characteristics are calculated for cold waters and in the Marginal Ice zone. ► We determine the spatial and temporal scales of the satellite errors.</description><subject>Animal, plant and microbial ecology</subject><subject>Applied geophysics</subject><subject>Arctic</subject><subject>Biological and medical sciences</subject><subject>Correlation</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Error characteristics</subject><subject>Error detection</subject><subject>Errors</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>Infrared</subject><subject>Internal geophysics</subject><subject>Marginal ice zone</subject><subject>Marine</subject><subject>Microwaves</subject><subject>Satellites</subject><subject>Sea surface temperature</subject><subject>Sensors</subject><subject>SST</subject><subject>Teledetection and vegetation maps</subject><subject>Validation</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqNUcGK1EAQbcQFx3U_YG99EbxkrE6n0wmelsVVYcWLe25qOtXYQyYZqzoD_r0ZZ_EoQkEVxXuvHvWUujWwNWDa9_stC21rMPUWzFr2hdqYzvcVeGheqg2Abaqmdv6Vei2yBzCu82aj9l-XsWQtNMnM-oRjHrDkedI4DZqY12X8gYyxEGcpOYqek77juI5asNA45kIrH7UsnDCSLnQ4EmNZmPS8E-LTH0V5o64SjkI3z_1aPT18_H7_uXr89unL_d1jFRvbliqZ6BsYIriWzAAtOe_8YIFgaBsESmZwpt3F1FKKfge139nUdJas6xAd2mv17qJ75PnnQlLCIUtcjeJE8yLBeA_W2NbV_wG1rjdd29kVai7QyLMIUwpHzgfkX8FAOEcQ9mGNIJwjCGDWOnPePsujRBwT4xSz_CXWruvrvj_b-HDB0fqWUyYOEjNNkYbMFEsY5vyPK78BPwCd1Q</recordid><startdate>20120601</startdate><enddate>20120601</enddate><creator>Høyer, Jacob L.</creator><creator>Karagali, Ioanna</creator><creator>Dybkjær, Gorm</creator><creator>Tonboe, Rasmus</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SN</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>SOI</scope><scope>7SU</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20120601</creationdate><title>Multi sensor validation and error characteristics of Arctic satellite sea surface temperature observations</title><author>Høyer, Jacob L. ; Karagali, Ioanna ; Dybkjær, Gorm ; Tonboe, Rasmus</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-f1c740dc056e1d06e5757d30e0d64a0ef1d516bcf6efc7b027b3f483e358aa5a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Applied geophysics</topic><topic>Arctic</topic><topic>Biological and medical sciences</topic><topic>Correlation</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Error characteristics</topic><topic>Error detection</topic><topic>Errors</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects. Techniques</topic><topic>Infrared</topic><topic>Internal geophysics</topic><topic>Marginal ice zone</topic><topic>Marine</topic><topic>Microwaves</topic><topic>Satellites</topic><topic>Sea surface temperature</topic><topic>Sensors</topic><topic>SST</topic><topic>Teledetection and vegetation maps</topic><topic>Validation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Høyer, Jacob L.</creatorcontrib><creatorcontrib>Karagali, Ioanna</creatorcontrib><creatorcontrib>Dybkjær, Gorm</creatorcontrib><creatorcontrib>Tonboe, Rasmus</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Høyer, Jacob L.</au><au>Karagali, Ioanna</au><au>Dybkjær, Gorm</au><au>Tonboe, Rasmus</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi sensor validation and error characteristics of Arctic satellite sea surface temperature observations</atitle><jtitle>Remote sensing of environment</jtitle><date>2012-06-01</date><risdate>2012</risdate><volume>121</volume><spage>335</spage><epage>346</epage><pages>335-346</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><coden>RSEEA7</coden><abstract>Six of the operational global satellite sea surface temperature products from infrared and microwave sensors are validated in a consistent way in waters north of 60° N. The 15-month validation with drifting buoy in situ observations shows that data from the Advanced Along-Tracking Scanning Radiometer (AATSR) on-board the ENVISAT satellite and NAVOCEANO data from the Advanced Very High Resolution Radiometer (AVHRR) on-board the NOAA 18 satellite are superior in terms of bias and standard deviation. The observations from the Advanced Microwave Scanning Radiometer-EOS (AMSR-E) on-board the Aqua satellite have superior coverage due to the microwaves' ability to penetrate cloud cover.
The performance of the different satellite products is examined for variation with season, water temperature, solar elevation angle, and proximity to the marginal ice zone. The validation results identify errors in the satellite products related to observation techniques, data processing and cloud masking. Temporal and spatial error scales are derived for all satellite products using the satellite versus in situ match-up dataset. Temporal error scales are typically between 1 and 2days and the characteristic spatial error scales between 300 and 500km. The error cross correlations between the different satellite products reveal that the products from the infrared sensors generally show significant error correlation, whereas the errors of the microwave AMSR-E product have a low correlation with all the products from the infrared sensors.
► In this paper we validate six operational satellite SST products for the Arctic. ► Error characteristics are calculated for cold waters and in the Marginal Ice zone. ► We determine the spatial and temporal scales of the satellite errors.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2012.01.013</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Animal, plant and microbial ecology Applied geophysics Arctic Biological and medical sciences Correlation Earth sciences Earth, ocean, space Error characteristics Error detection Errors Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques Infrared Internal geophysics Marginal ice zone Marine Microwaves Satellites Sea surface temperature Sensors SST Teledetection and vegetation maps Validation |
| title | Multi sensor validation and error characteristics of Arctic satellite sea surface temperature observations |
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