Toward an Intercalibrated Fundamental Climate Data Record of the SSM/I Sensors
Multiple independent intercalibration techniques are used to derive calibration adjustments for the development of a fundamental climate data record of physically consistent brightness temperature data from the series of six special sensor microwave/imagers (SSM/Is). The techniques include direct po...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2013-03, Vol.51 (3), p.1492-1503 |
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| container_title | IEEE transactions on geoscience and remote sensing |
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| creator | Sapiano, M. R. P. Berg, W. K. McKague, D. S. Kummerow, C. D. |
| description | Multiple independent intercalibration techniques are used to derive calibration adjustments for the development of a fundamental climate data record of physically consistent brightness temperature data from the series of six special sensor microwave/imagers (SSM/Is). The techniques include direct polar matchups, double differencing against model simulations from reanalysis profile data, double differencing against matchups with the Tropical Rainfall Measuring Mission Microwave Imager, vicarious cold calibration, and an Amazon warm calibration. Multiple realizations of three of the five techniques have been applied using different reanalysis data and retrieval techniques to account for Earth incidence angle-dependent differences between sensors. Excellent agreement has been achieved between each of the techniques with typical spread within 0.5 K at the cold end, with slightly higher spread when the warm end estimate is included. A strategy for estimating mean intercalibration values is described with justification for the use of a simple offset based on error characteristics. Intercalibration offsets are smaller for the more recent SSM/I ( |
| doi_str_mv | 10.1109/TGRS.2012.2206601 |
| format | Article |
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Excellent agreement has been achieved between each of the techniques with typical spread within 0.5 K at the cold end, with slightly higher spread when the warm end estimate is included. A strategy for estimating mean intercalibration values is described with justification for the use of a simple offset based on error characteristics. 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D.</creatorcontrib><title>Toward an Intercalibrated Fundamental Climate Data Record of the SSM/I Sensors</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>Multiple independent intercalibration techniques are used to derive calibration adjustments for the development of a fundamental climate data record of physically consistent brightness temperature data from the series of six special sensor microwave/imagers (SSM/Is). The techniques include direct polar matchups, double differencing against model simulations from reanalysis profile data, double differencing against matchups with the Tropical Rainfall Measuring Mission Microwave Imager, vicarious cold calibration, and an Amazon warm calibration. Multiple realizations of three of the five techniques have been applied using different reanalysis data and retrieval techniques to account for Earth incidence angle-dependent differences between sensors. Excellent agreement has been achieved between each of the techniques with typical spread within 0.5 K at the cold end, with slightly higher spread when the warm end estimate is included. A strategy for estimating mean intercalibration values is described with justification for the use of a simple offset based on error characteristics. Intercalibration offsets are smaller for the more recent SSM/I (<; 1 K for F14 and F15 compared with F13) and slightly larger for the older satellites (<; 2 K for F08, F10, and F11 when compared to F13).</description><subject>Calibration</subject><subject>Climate data record</subject><subject>Data models</subject><subject>intercalibration</subject><subject>Meteorological satellites</subject><subject>Meteorology</subject><subject>Ocean temperature</subject><subject>passive microwave remote sensing</subject><subject>Satellites</subject><subject>Sensors</subject><subject>special sensor microwave/imagers (SSM/I)</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kFFLwzAQx4MoOKcfQHwJ-Nwtl_TS9lGmm4OpsM7nkLUX3OjamWSI396ODZ8Ojv_vf9yPsXsQIwBRjFezZTmSAuRISqG1gAs2AMQ8ETpNL9lAQKETmRfymt2EsBUCUoRswN5X3Y_1Nbctn7eRfGWbzdrbSDWfHtra7qiNtuGTZrPrl_zZRsuXVHU90jkev4iX5dt4zktqQ-fDLbtytgl0d55D9jl9WU1ek8XHbD55WiSVwiImGjMNqDOBMq8JnbQEwllEzDJcQ1ERpUpRXkOVakdpgQC1cip3gmqZkhqyx1Pv3nffBwrRbLuDb_uTBhQoCQKx6FNwSlW-C8GTM3vf_-F_DQhz1GaO2sxRmzlr65mHE7Mhov-8lqgkCvUH2mlnMA</recordid><startdate>20130301</startdate><enddate>20130301</enddate><creator>Sapiano, M. 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D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-657615670528de5f2ae10fa555775b19cee433e8d1c46fe49511d3f38f0ed24e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Calibration</topic><topic>Climate data record</topic><topic>Data models</topic><topic>intercalibration</topic><topic>Meteorological satellites</topic><topic>Meteorology</topic><topic>Ocean temperature</topic><topic>passive microwave remote sensing</topic><topic>Satellites</topic><topic>Sensors</topic><topic>special sensor microwave/imagers (SSM/I)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sapiano, M. R. P.</creatorcontrib><creatorcontrib>Berg, W. K.</creatorcontrib><creatorcontrib>McKague, D. S.</creatorcontrib><creatorcontrib>Kummerow, C. 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R. P.</au><au>Berg, W. K.</au><au>McKague, D. S.</au><au>Kummerow, C. D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Toward an Intercalibrated Fundamental Climate Data Record of the SSM/I Sensors</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2013-03-01</date><risdate>2013</risdate><volume>51</volume><issue>3</issue><spage>1492</spage><epage>1503</epage><pages>1492-1503</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>Multiple independent intercalibration techniques are used to derive calibration adjustments for the development of a fundamental climate data record of physically consistent brightness temperature data from the series of six special sensor microwave/imagers (SSM/Is). The techniques include direct polar matchups, double differencing against model simulations from reanalysis profile data, double differencing against matchups with the Tropical Rainfall Measuring Mission Microwave Imager, vicarious cold calibration, and an Amazon warm calibration. Multiple realizations of three of the five techniques have been applied using different reanalysis data and retrieval techniques to account for Earth incidence angle-dependent differences between sensors. Excellent agreement has been achieved between each of the techniques with typical spread within 0.5 K at the cold end, with slightly higher spread when the warm end estimate is included. A strategy for estimating mean intercalibration values is described with justification for the use of a simple offset based on error characteristics. Intercalibration offsets are smaller for the more recent SSM/I (<; 1 K for F14 and F15 compared with F13) and slightly larger for the older satellites (<; 2 K for F08, F10, and F11 when compared to F13).</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2012.2206601</doi><tpages>12</tpages></addata></record> |
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| subjects | Calibration Climate data record Data models intercalibration Meteorological satellites Meteorology Ocean temperature passive microwave remote sensing Satellites Sensors special sensor microwave/imagers (SSM/I) |
| title | Toward an Intercalibrated Fundamental Climate Data Record of the SSM/I Sensors |
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