Comparison of long-term total ozone observations from space- and ground-based methods at Zhongshan Station, Antarctica
Total ozone errors for satellite observations at Zhongshan Station in Antarctica are characterized using their relative difference (RD) from ground-based Brewer observations during 1993-2015. All satellite total ozone observations slightly overestimated ground-based ones (with RD less than 4%). This...
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description | Total ozone errors for satellite observations at Zhongshan Station in Antarctica are characterized using their relative difference (RD) from ground-based Brewer observations during 1993-2015. All satellite total ozone observations slightly overestimated ground-based ones (with RD less than 4%). This is in contrast to conclusions drawn from global-scale validation studies, where main ground-based reference stations are located in middle latitudes. Given multiple total ozone data per day at Zhongshan Station, observed by a sun synchronous orbit satellite, measurements at the lowest solar zenith angle (SZA) show greatest consistency with Brewer ones, having an overall RD of-0.02-1.15%. Algorithm-retrieved total ozone data from the Total Ozone Mapping Spectrometer (TOMS), including Solar Backscatter Ultra Violet (SBUV), TOMS-Earth Probe (EP), Ozone Monitoring Instrument (OMI)-TOMS, show best agreement with ground-based values; followed by the Global Ozone Measurement Experiment-type Direct Fitting (GOD-FIT) algorithm for the GOME-2A, and finally the Differential Optical Absorption Spectroscopy (DOAS) --Algorithm retrieved products for satellites-detectors of Global Ozone Measurement Experiment (GOME), Scanning Imaging Absorption spectroMetr for Atmospheric CHartographY (SCIAMACHY), and OMI. Satellite total ozone RD presents some statistical characteristics, but no specific trends. DOAS and GOME-2A algorithms have values that significantly increase, when the SZA is above 60°-70°, whereas values for GOME-2A decrease, when the SZA is 80-85°. Satellite total ozone RD is a minimum, when the Brewer total ozone is 300-350 DU, with an obvious increase in RD values for DOAS- and GOME-2A, when the Brewer total ozone is 150-300 DU. Satellite total ozone RD obviously increases, as the time difference between satellite overpasses and Brewer measurements grows. Specifically, RD rises as the absolute time difference increases to more than 4 h, yielding an OMI-TOMS RD of more than 10% as this difference increases to 8 h. The DOAS- RD may be up to 15%, while GOME-2A RD does not exceed 10%. The satellite total ozone RD may reach -5%, as the distance between the satellite overpass pixel and the station become more than 100 km. Possibly because of the discrepancy in surface albedo, the TOMS-algorithm retrieved total ozone produced underestimation, when the pixel on the south-east side of the station (the Antarctica continent) is used, but overestimation on the north-west side of |
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All satellite total ozone observations slightly overestimated ground-based ones (with RD less than 4%). This is in contrast to conclusions drawn from global-scale validation studies, where main ground-based reference stations are located in middle latitudes. Given multiple total ozone data per day at Zhongshan Station, observed by a sun synchronous orbit satellite, measurements at the lowest solar zenith angle (SZA) show greatest consistency with Brewer ones, having an overall RD of-0.02-1.15%. Algorithm-retrieved total ozone data from the Total Ozone Mapping Spectrometer (TOMS), including Solar Backscatter Ultra Violet (SBUV), TOMS-Earth Probe (EP), Ozone Monitoring Instrument (OMI)-TOMS, show best agreement with ground-based values; followed by the Global Ozone Measurement Experiment-type Direct Fitting (GOD-FIT) algorithm for the GOME-2A, and finally the Differential Optical Absorption Spectroscopy (DOAS) --Algorithm retrieved products for satellites-detectors of Global Ozone Measurement Experiment (GOME), Scanning Imaging Absorption spectroMetr for Atmospheric CHartographY (SCIAMACHY), and OMI. Satellite total ozone RD presents some statistical characteristics, but no specific trends. DOAS and GOME-2A algorithms have values that significantly increase, when the SZA is above 60°-70°, whereas values for GOME-2A decrease, when the SZA is 80-85°. Satellite total ozone RD is a minimum, when the Brewer total ozone is 300-350 DU, with an obvious increase in RD values for DOAS- and GOME-2A, when the Brewer total ozone is 150-300 DU. Satellite total ozone RD obviously increases, as the time difference between satellite overpasses and Brewer measurements grows. Specifically, RD rises as the absolute time difference increases to more than 4 h, yielding an OMI-TOMS RD of more than 10% as this difference increases to 8 h. The DOAS- RD may be up to 15%, while GOME-2A RD does not exceed 10%. The satellite total ozone RD may reach -5%, as the distance between the satellite overpass pixel and the station become more than 100 km. Possibly because of the discrepancy in surface albedo, the TOMS-algorithm retrieved total ozone produced underestimation, when the pixel on the south-east side of the station (the Antarctica continent) is used, but overestimation on the north-west side of the station (the Indian Ocean). Consistency between space and ground-based total ozone data is least for the "ozone hole". Typically, the RD of TOMS-algorittun retrieved total ozone is within 1%/10 yr. Thus, the SBUV and Brewer monthly averaged total ozone anomalies from 1996 to 2015 were 1%/10 yr and 0.9%/10 yr, respectively. Both indicate slight, but consistent, ozone layer recovery.</description><identifier>ISSN: 1674-7313</identifier><identifier>EISSN: 1869-1897</identifier><identifier>DOI: 10.1007/s11430-017-9105-5</identifier><language>eng</language><publisher>Beijing: Science China Press</publisher><subject>Absorption spectroscopy ; Albedo ; Albedo (solar) ; Algorithms ; Analytical methods ; Anomalies ; Atmospheric absorption ; Backscatter ; Backscattering ; Comparative studies ; Consistency ; Data ; Detectors ; Earth ; Earth and Environmental Science ; Earth Sciences ; Emission measurements ; Global ozone ; Ground stations ; Ground-based observation ; Imaging techniques ; Mathematical models ; Measurement ; Monitoring instruments ; Ozone ; Ozone anomalies ; Ozone data ; Ozone depletion ; Ozone hole ; Ozone layer ; Ozone monitoring ; Ozonosphere ; Pixels ; Remote sensing ; Research Paper ; Satellite observation ; Satellites ; Solar Backscatter Ultraviolet Radiometer (SBUV) ; Spaceborne remote sensing ; Spectroscopy ; Sun-synchronous orbits ; Total Ozone Mapping Spectrometer ; 中山 ; 南极洲 ; 地面臭氧 ; 太阳同步轨道 ; 差分光学吸收光谱 ; 火车站 ; 臭氧总量 ; 长期观测</subject><ispartof>Science China. Earth sciences, 2017-11, Vol.60 (11), p.2013-2024</ispartof><rights>Science China Press and Springer-Verlag GmbH Germany 2017</rights><rights>Science China Earth Sciences is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c343t-a63f812b2964d637e810e00e0e4e1e503493503e647e76d6f1fe5ace0ba8e9d83</citedby><cites>FETCH-LOGICAL-c343t-a63f812b2964d637e810e00e0e4e1e503493503e647e76d6f1fe5ace0ba8e9d83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/60111X/60111X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11430-017-9105-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11430-017-9105-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Zhang, Lei</creatorcontrib><creatorcontrib>Zheng, XiangDong</creatorcontrib><creatorcontrib>Bian, LinGen</creatorcontrib><title>Comparison of long-term total ozone observations from space- and ground-based methods at Zhongshan Station, Antarctica</title><title>Science China. Earth sciences</title><addtitle>Sci. China Earth Sci</addtitle><addtitle>SCIENCE CHINA Earth Sciences</addtitle><description>Total ozone errors for satellite observations at Zhongshan Station in Antarctica are characterized using their relative difference (RD) from ground-based Brewer observations during 1993-2015. All satellite total ozone observations slightly overestimated ground-based ones (with RD less than 4%). This is in contrast to conclusions drawn from global-scale validation studies, where main ground-based reference stations are located in middle latitudes. Given multiple total ozone data per day at Zhongshan Station, observed by a sun synchronous orbit satellite, measurements at the lowest solar zenith angle (SZA) show greatest consistency with Brewer ones, having an overall RD of-0.02-1.15%. Algorithm-retrieved total ozone data from the Total Ozone Mapping Spectrometer (TOMS), including Solar Backscatter Ultra Violet (SBUV), TOMS-Earth Probe (EP), Ozone Monitoring Instrument (OMI)-TOMS, show best agreement with ground-based values; followed by the Global Ozone Measurement Experiment-type Direct Fitting (GOD-FIT) algorithm for the GOME-2A, and finally the Differential Optical Absorption Spectroscopy (DOAS) --Algorithm retrieved products for satellites-detectors of Global Ozone Measurement Experiment (GOME), Scanning Imaging Absorption spectroMetr for Atmospheric CHartographY (SCIAMACHY), and OMI. Satellite total ozone RD presents some statistical characteristics, but no specific trends. DOAS and GOME-2A algorithms have values that significantly increase, when the SZA is above 60°-70°, whereas values for GOME-2A decrease, when the SZA is 80-85°. Satellite total ozone RD is a minimum, when the Brewer total ozone is 300-350 DU, with an obvious increase in RD values for DOAS- and GOME-2A, when the Brewer total ozone is 150-300 DU. Satellite total ozone RD obviously increases, as the time difference between satellite overpasses and Brewer measurements grows. Specifically, RD rises as the absolute time difference increases to more than 4 h, yielding an OMI-TOMS RD of more than 10% as this difference increases to 8 h. The DOAS- RD may be up to 15%, while GOME-2A RD does not exceed 10%. The satellite total ozone RD may reach -5%, as the distance between the satellite overpass pixel and the station become more than 100 km. Possibly because of the discrepancy in surface albedo, the TOMS-algorithm retrieved total ozone produced underestimation, when the pixel on the south-east side of the station (the Antarctica continent) is used, but overestimation on the north-west side of the station (the Indian Ocean). Consistency between space and ground-based total ozone data is least for the "ozone hole". Typically, the RD of TOMS-algorittun retrieved total ozone is within 1%/10 yr. Thus, the SBUV and Brewer monthly averaged total ozone anomalies from 1996 to 2015 were 1%/10 yr and 0.9%/10 yr, respectively. Both indicate slight, but consistent, ozone layer recovery.</description><subject>Absorption spectroscopy</subject><subject>Albedo</subject><subject>Albedo (solar)</subject><subject>Algorithms</subject><subject>Analytical methods</subject><subject>Anomalies</subject><subject>Atmospheric absorption</subject><subject>Backscatter</subject><subject>Backscattering</subject><subject>Comparative studies</subject><subject>Consistency</subject><subject>Data</subject><subject>Detectors</subject><subject>Earth</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Emission measurements</subject><subject>Global ozone</subject><subject>Ground stations</subject><subject>Ground-based observation</subject><subject>Imaging techniques</subject><subject>Mathematical models</subject><subject>Measurement</subject><subject>Monitoring instruments</subject><subject>Ozone</subject><subject>Ozone anomalies</subject><subject>Ozone data</subject><subject>Ozone depletion</subject><subject>Ozone hole</subject><subject>Ozone layer</subject><subject>Ozone monitoring</subject><subject>Ozonosphere</subject><subject>Pixels</subject><subject>Remote sensing</subject><subject>Research Paper</subject><subject>Satellite observation</subject><subject>Satellites</subject><subject>Solar Backscatter Ultraviolet Radiometer (SBUV)</subject><subject>Spaceborne remote sensing</subject><subject>Spectroscopy</subject><subject>Sun-synchronous orbits</subject><subject>Total Ozone Mapping Spectrometer</subject><subject>中山</subject><subject>南极洲</subject><subject>地面臭氧</subject><subject>太阳同步轨道</subject><subject>差分光学吸收光谱</subject><subject>火车站</subject><subject>臭氧总量</subject><subject>长期观测</subject><issn>1674-7313</issn><issn>1869-1897</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kF9LwzAUxYsoOOY-gG9BX43mNm3SPo7hPxj4oL74EtL2dutYky3JBvrpzewQnwwhCeT8zrmcJLkEdguMyTsPkHFGGUhaAstpfpKMoBAlhaKUp_EtZEYlB36eTLxfsbh4_EnlKNnPbL_RrvPWENuStTULGtD1JNig18R-WYPEVh7dXofOGk9aZ3viN7pGSrRpyMLZnWlopT02pMewtI0nOpCPZfTyS23Ia_hBb8jUBO3q0NX6Ijlr9drj5HiPk_eH-7fZE52_PD7PpnNa84wHqgVvC0irtBRZI7jEAhiyuDFDwJzxrOTxRJFJlKIRLbSYx8lYpQssm4KPk-vBd-Psdoc-qJXdORMjFZR5nkNZCBlVMKhqZ7132KqN63rtPhUwdWhYDQ2r2LA6NKzyyKQD46PWLND9cf4HujoGHcrZRu43KY4hWFowyb8BK4CKXA</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>Zhang, Lei</creator><creator>Zheng, XiangDong</creator><creator>Bian, LinGen</creator><general>Science China Press</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20171101</creationdate><title>Comparison of long-term total ozone observations from space- and ground-based methods at Zhongshan Station, Antarctica</title><author>Zhang, Lei ; Zheng, XiangDong ; Bian, LinGen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c343t-a63f812b2964d637e810e00e0e4e1e503493503e647e76d6f1fe5ace0ba8e9d83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Absorption spectroscopy</topic><topic>Albedo</topic><topic>Albedo (solar)</topic><topic>Algorithms</topic><topic>Analytical methods</topic><topic>Anomalies</topic><topic>Atmospheric absorption</topic><topic>Backscatter</topic><topic>Backscattering</topic><topic>Comparative studies</topic><topic>Consistency</topic><topic>Data</topic><topic>Detectors</topic><topic>Earth</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Emission measurements</topic><topic>Global ozone</topic><topic>Ground stations</topic><topic>Ground-based observation</topic><topic>Imaging techniques</topic><topic>Mathematical models</topic><topic>Measurement</topic><topic>Monitoring instruments</topic><topic>Ozone</topic><topic>Ozone anomalies</topic><topic>Ozone data</topic><topic>Ozone depletion</topic><topic>Ozone hole</topic><topic>Ozone layer</topic><topic>Ozone monitoring</topic><topic>Ozonosphere</topic><topic>Pixels</topic><topic>Remote sensing</topic><topic>Research Paper</topic><topic>Satellite observation</topic><topic>Satellites</topic><topic>Solar Backscatter Ultraviolet Radiometer (SBUV)</topic><topic>Spaceborne remote sensing</topic><topic>Spectroscopy</topic><topic>Sun-synchronous orbits</topic><topic>Total Ozone Mapping Spectrometer</topic><topic>中山</topic><topic>南极洲</topic><topic>地面臭氧</topic><topic>太阳同步轨道</topic><topic>差分光学吸收光谱</topic><topic>火车站</topic><topic>臭氧总量</topic><topic>长期观测</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Lei</creatorcontrib><creatorcontrib>Zheng, XiangDong</creatorcontrib><creatorcontrib>Bian, LinGen</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Science China. Earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Lei</au><au>Zheng, XiangDong</au><au>Bian, LinGen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of long-term total ozone observations from space- and ground-based methods at Zhongshan Station, Antarctica</atitle><jtitle>Science China. Earth sciences</jtitle><stitle>Sci. China Earth Sci</stitle><addtitle>SCIENCE CHINA Earth Sciences</addtitle><date>2017-11-01</date><risdate>2017</risdate><volume>60</volume><issue>11</issue><spage>2013</spage><epage>2024</epage><pages>2013-2024</pages><issn>1674-7313</issn><eissn>1869-1897</eissn><abstract>Total ozone errors for satellite observations at Zhongshan Station in Antarctica are characterized using their relative difference (RD) from ground-based Brewer observations during 1993-2015. All satellite total ozone observations slightly overestimated ground-based ones (with RD less than 4%). This is in contrast to conclusions drawn from global-scale validation studies, where main ground-based reference stations are located in middle latitudes. Given multiple total ozone data per day at Zhongshan Station, observed by a sun synchronous orbit satellite, measurements at the lowest solar zenith angle (SZA) show greatest consistency with Brewer ones, having an overall RD of-0.02-1.15%. Algorithm-retrieved total ozone data from the Total Ozone Mapping Spectrometer (TOMS), including Solar Backscatter Ultra Violet (SBUV), TOMS-Earth Probe (EP), Ozone Monitoring Instrument (OMI)-TOMS, show best agreement with ground-based values; followed by the Global Ozone Measurement Experiment-type Direct Fitting (GOD-FIT) algorithm for the GOME-2A, and finally the Differential Optical Absorption Spectroscopy (DOAS) --Algorithm retrieved products for satellites-detectors of Global Ozone Measurement Experiment (GOME), Scanning Imaging Absorption spectroMetr for Atmospheric CHartographY (SCIAMACHY), and OMI. Satellite total ozone RD presents some statistical characteristics, but no specific trends. DOAS and GOME-2A algorithms have values that significantly increase, when the SZA is above 60°-70°, whereas values for GOME-2A decrease, when the SZA is 80-85°. Satellite total ozone RD is a minimum, when the Brewer total ozone is 300-350 DU, with an obvious increase in RD values for DOAS- and GOME-2A, when the Brewer total ozone is 150-300 DU. Satellite total ozone RD obviously increases, as the time difference between satellite overpasses and Brewer measurements grows. Specifically, RD rises as the absolute time difference increases to more than 4 h, yielding an OMI-TOMS RD of more than 10% as this difference increases to 8 h. The DOAS- RD may be up to 15%, while GOME-2A RD does not exceed 10%. The satellite total ozone RD may reach -5%, as the distance between the satellite overpass pixel and the station become more than 100 km. Possibly because of the discrepancy in surface albedo, the TOMS-algorithm retrieved total ozone produced underestimation, when the pixel on the south-east side of the station (the Antarctica continent) is used, but overestimation on the north-west side of the station (the Indian Ocean). Consistency between space and ground-based total ozone data is least for the "ozone hole". Typically, the RD of TOMS-algorittun retrieved total ozone is within 1%/10 yr. Thus, the SBUV and Brewer monthly averaged total ozone anomalies from 1996 to 2015 were 1%/10 yr and 0.9%/10 yr, respectively. Both indicate slight, but consistent, ozone layer recovery.</abstract><cop>Beijing</cop><pub>Science China Press</pub><doi>10.1007/s11430-017-9105-5</doi><tpages>12</tpages></addata></record> |
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subjects | Absorption spectroscopy Albedo Albedo (solar) Algorithms Analytical methods Anomalies Atmospheric absorption Backscatter Backscattering Comparative studies Consistency Data Detectors Earth Earth and Environmental Science Earth Sciences Emission measurements Global ozone Ground stations Ground-based observation Imaging techniques Mathematical models Measurement Monitoring instruments Ozone Ozone anomalies Ozone data Ozone depletion Ozone hole Ozone layer Ozone monitoring Ozonosphere Pixels Remote sensing Research Paper Satellite observation Satellites Solar Backscatter Ultraviolet Radiometer (SBUV) Spaceborne remote sensing Spectroscopy Sun-synchronous orbits Total Ozone Mapping Spectrometer 中山 南极洲 地面臭氧 太阳同步轨道 差分光学吸收光谱 火车站 臭氧总量 长期观测 |
title | Comparison of long-term total ozone observations from space- and ground-based methods at Zhongshan Station, Antarctica |
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