Estimation of errors associated with the EarthCARE 3D scene construction algorithm
The EarthCARE satellite mission plans to perform a continuous closure experiment to assess the quality of retrieved cloud and aerosol properties. It will do so by comparing top‐of‐atmosphere (TOA) broad‐band (BB) fluxes with simulated values produced by three‐dimensional (3D) radiative transfer mode...
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description | The EarthCARE satellite mission plans to perform a continuous closure experiment to assess the quality of retrieved cloud and aerosol properties. It will do so by comparing top‐of‐atmosphere (TOA) broad‐band (BB) fluxes with simulated values produced by three‐dimensional (3D) radiative transfer models that act on the two‐dimensional (2D) retrieved cross‐section and a 3D atmosphere around it produced by a scene construction algorithm (SCA). This study proposes and tests a method for estimating errors in simulated TOA BB fluxes due to the SCA.
Two methods for estimating SCA‐related errors for TOA fluxes are presented. The primary one relies on computation of errors for reconstructed narrow‐band imager nadir radiances. A‐train satellite data were used to show that for constructed domains measuring (11 km)2, approximately the size of the EarthCARE assessment domains, with total cloud fractions > 0.2, errors for reflected BB short‐wave fluxes due to the SCA are smaller than ±4.2 and ±11.5 W m−2 for 66 and 90% of the domains, respectively. Corresponding values for outgoing long‐wave fluxes are ±1.2 and ±3.0 W m−2. The largest and smallest errors are associated with fields of broken convective cloud and overcast stratiform cloud, respectively.
The SCA was applied to simulated measurements for a (153 km)2 field of deep convective clouds produced by a cloud‐system‐resolving model. Actual and estimated TOA BB short‐wave flux errors due to the SCA agree well and are smaller than ±22 and ±40 W m−2 for 66 and 90% of the (11 km)2 sampled subdomains. Assuming that errors due to the SCA are purely bias errors, they were subtracted from fluxes estimated for the constructed domains. This resulted in TOA BB short‐wave flux errors smaller than ±7 and ±25 W m−2 for 66 and 90% of the sampled subdomains. This suggests that estimated errors due to the SCA should be removed directly from simulated TOA BB fluxes before executing a closure assessment. |
doi_str_mv | 10.1002/qj.2294 |
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Two methods for estimating SCA‐related errors for TOA fluxes are presented. The primary one relies on computation of errors for reconstructed narrow‐band imager nadir radiances. A‐train satellite data were used to show that for constructed domains measuring (11 km)2, approximately the size of the EarthCARE assessment domains, with total cloud fractions > 0.2, errors for reflected BB short‐wave fluxes due to the SCA are smaller than ±4.2 and ±11.5 W m−2 for 66 and 90% of the domains, respectively. Corresponding values for outgoing long‐wave fluxes are ±1.2 and ±3.0 W m−2. The largest and smallest errors are associated with fields of broken convective cloud and overcast stratiform cloud, respectively.
The SCA was applied to simulated measurements for a (153 km)2 field of deep convective clouds produced by a cloud‐system‐resolving model. Actual and estimated TOA BB short‐wave flux errors due to the SCA agree well and are smaller than ±22 and ±40 W m−2 for 66 and 90% of the (11 km)2 sampled subdomains. Assuming that errors due to the SCA are purely bias errors, they were subtracted from fluxes estimated for the constructed domains. This resulted in TOA BB short‐wave flux errors smaller than ±7 and ±25 W m−2 for 66 and 90% of the sampled subdomains. This suggests that estimated errors due to the SCA should be removed directly from simulated TOA BB fluxes before executing a closure assessment.</description><identifier>ISSN: 0035-9009</identifier><identifier>EISSN: 1477-870X</identifier><identifier>DOI: 10.1002/qj.2294</identifier><identifier>CODEN: QJRMAM</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>aerosols ; climate ; clouds ; Earth, ocean, space ; EarthCARE ; Exact sciences and technology ; External geophysics ; Geophysics. Techniques, methods, instrumentation and models ; Meteorology ; radiation ; remote sensing ; satellite</subject><ispartof>Quarterly journal of the Royal Meteorological Society, 2014-10, Vol.140 (684), p.2260-2271</ispartof><rights>2013 Royal Meteorological Society and Environment Canada. Quarterly Journal of the Royal Meteorological Society © 2013 RoyalMeteorological Society</rights><rights>2015 INIST-CNRS</rights><rights>2014 Royal Meteorological Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4554-2d061e66d3dec2935e39db1112100fdc0f04cfa82d1a73cf065cc3841f231d2c3</citedby><cites>FETCH-LOGICAL-c4554-2d061e66d3dec2935e39db1112100fdc0f04cfa82d1a73cf065cc3841f231d2c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fqj.2294$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fqj.2294$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27923,27924,45573,45574</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28881163$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Barker, H. W.</creatorcontrib><creatorcontrib>Cole, J. N. S.</creatorcontrib><creatorcontrib>Shephard, M. W.</creatorcontrib><title>Estimation of errors associated with the EarthCARE 3D scene construction algorithm</title><title>Quarterly journal of the Royal Meteorological Society</title><description>The EarthCARE satellite mission plans to perform a continuous closure experiment to assess the quality of retrieved cloud and aerosol properties. It will do so by comparing top‐of‐atmosphere (TOA) broad‐band (BB) fluxes with simulated values produced by three‐dimensional (3D) radiative transfer models that act on the two‐dimensional (2D) retrieved cross‐section and a 3D atmosphere around it produced by a scene construction algorithm (SCA). This study proposes and tests a method for estimating errors in simulated TOA BB fluxes due to the SCA.
Two methods for estimating SCA‐related errors for TOA fluxes are presented. The primary one relies on computation of errors for reconstructed narrow‐band imager nadir radiances. A‐train satellite data were used to show that for constructed domains measuring (11 km)2, approximately the size of the EarthCARE assessment domains, with total cloud fractions > 0.2, errors for reflected BB short‐wave fluxes due to the SCA are smaller than ±4.2 and ±11.5 W m−2 for 66 and 90% of the domains, respectively. Corresponding values for outgoing long‐wave fluxes are ±1.2 and ±3.0 W m−2. The largest and smallest errors are associated with fields of broken convective cloud and overcast stratiform cloud, respectively.
The SCA was applied to simulated measurements for a (153 km)2 field of deep convective clouds produced by a cloud‐system‐resolving model. Actual and estimated TOA BB short‐wave flux errors due to the SCA agree well and are smaller than ±22 and ±40 W m−2 for 66 and 90% of the (11 km)2 sampled subdomains. Assuming that errors due to the SCA are purely bias errors, they were subtracted from fluxes estimated for the constructed domains. This resulted in TOA BB short‐wave flux errors smaller than ±7 and ±25 W m−2 for 66 and 90% of the sampled subdomains. This suggests that estimated errors due to the SCA should be removed directly from simulated TOA BB fluxes before executing a closure assessment.</description><subject>aerosols</subject><subject>climate</subject><subject>clouds</subject><subject>Earth, ocean, space</subject><subject>EarthCARE</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Geophysics. Techniques, methods, instrumentation and models</subject><subject>Meteorology</subject><subject>radiation</subject><subject>remote sensing</subject><subject>satellite</subject><issn>0035-9009</issn><issn>1477-870X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp10NtKAzEQBuAgCtYqvkJAREG2Tg57upS6niiIRcG7JWYTu8t20yZZSt_e9IAXgldz883PzI_QOYERAaC3y2ZEac4P0IDwNI2yFD4P0QCAxVEOkB-jE-caAIhTmg7QtHC-ngtfmw4bjZW1xjosnDOyFl5VeFX7GfYzhQth_Wx8Ny0wu8dOqk5haTrnbS-326L9Njbg-Sk60qJ16mw_h-jjoXgfP0WT18fn8d0kkjyOeUQrSIhKkopVStKcxYrl1RchhIY3dCVBA5daZLQiImVSQxJLyTJONGWkopIN0fUud2HNslfOl_M63NW2olOmdyVJKE0gzXIa6MUf2pjeduG6oAjnlMd5FtTVTklrnLNKlwsburHrkkC56bZcNuWm2yAv93nCSdFqKzpZu19OsywjJGHB3ezcqm7V-r-48u1lm_oDMiSFLg</recordid><startdate>201410</startdate><enddate>201410</enddate><creator>Barker, H. W.</creator><creator>Cole, J. N. S.</creator><creator>Shephard, M. W.</creator><general>John Wiley & Sons, Ltd</general><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>7UA</scope><scope>C1K</scope></search><sort><creationdate>201410</creationdate><title>Estimation of errors associated with the EarthCARE 3D scene construction algorithm</title><author>Barker, H. W. ; Cole, J. N. S. ; Shephard, M. W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4554-2d061e66d3dec2935e39db1112100fdc0f04cfa82d1a73cf065cc3841f231d2c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>aerosols</topic><topic>climate</topic><topic>clouds</topic><topic>Earth, ocean, space</topic><topic>EarthCARE</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Geophysics. Techniques, methods, instrumentation and models</topic><topic>Meteorology</topic><topic>radiation</topic><topic>remote sensing</topic><topic>satellite</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barker, H. W.</creatorcontrib><creatorcontrib>Cole, J. N. S.</creatorcontrib><creatorcontrib>Shephard, M. 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W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of errors associated with the EarthCARE 3D scene construction algorithm</atitle><jtitle>Quarterly journal of the Royal Meteorological Society</jtitle><date>2014-10</date><risdate>2014</risdate><volume>140</volume><issue>684</issue><spage>2260</spage><epage>2271</epage><pages>2260-2271</pages><issn>0035-9009</issn><eissn>1477-870X</eissn><coden>QJRMAM</coden><abstract>The EarthCARE satellite mission plans to perform a continuous closure experiment to assess the quality of retrieved cloud and aerosol properties. It will do so by comparing top‐of‐atmosphere (TOA) broad‐band (BB) fluxes with simulated values produced by three‐dimensional (3D) radiative transfer models that act on the two‐dimensional (2D) retrieved cross‐section and a 3D atmosphere around it produced by a scene construction algorithm (SCA). This study proposes and tests a method for estimating errors in simulated TOA BB fluxes due to the SCA.
Two methods for estimating SCA‐related errors for TOA fluxes are presented. The primary one relies on computation of errors for reconstructed narrow‐band imager nadir radiances. A‐train satellite data were used to show that for constructed domains measuring (11 km)2, approximately the size of the EarthCARE assessment domains, with total cloud fractions > 0.2, errors for reflected BB short‐wave fluxes due to the SCA are smaller than ±4.2 and ±11.5 W m−2 for 66 and 90% of the domains, respectively. Corresponding values for outgoing long‐wave fluxes are ±1.2 and ±3.0 W m−2. The largest and smallest errors are associated with fields of broken convective cloud and overcast stratiform cloud, respectively.
The SCA was applied to simulated measurements for a (153 km)2 field of deep convective clouds produced by a cloud‐system‐resolving model. Actual and estimated TOA BB short‐wave flux errors due to the SCA agree well and are smaller than ±22 and ±40 W m−2 for 66 and 90% of the (11 km)2 sampled subdomains. Assuming that errors due to the SCA are purely bias errors, they were subtracted from fluxes estimated for the constructed domains. This resulted in TOA BB short‐wave flux errors smaller than ±7 and ±25 W m−2 for 66 and 90% of the sampled subdomains. This suggests that estimated errors due to the SCA should be removed directly from simulated TOA BB fluxes before executing a closure assessment.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/qj.2294</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | aerosols climate clouds Earth, ocean, space EarthCARE Exact sciences and technology External geophysics Geophysics. Techniques, methods, instrumentation and models Meteorology radiation remote sensing satellite |
title | Estimation of errors associated with the EarthCARE 3D scene construction algorithm |
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