XCO2 satellite retrieval experiments in short-wave and infrared spectra with SCIATRAN model for Sahara Desert
The spectra of O 2 A-band (0.76 μm) and CO 2 near-infrared emissions (1.6 μm) are simulated by the SCIATRAN radiative transfer model (V3.1.23), and compared with those observed by GOSAT-FTS (Greenhouse gases Observing SATellite-Fourier Transform Spectrometer). Systematic deviations between the obser...
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| Veröffentlicht in: | Science China. Earth sciences 2016-11, Vol.59 (11), p.2252-2259 |
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| creator | Li, YanFen Zhang, ChunMin Dai, HaiShan Zhang, XingYing Zhang, Peng |
| description | The spectra of O
2
A-band (0.76 μm) and CO
2
near-infrared emissions (1.6 μm) are simulated by the SCIATRAN radiative transfer model (V3.1.23), and compared with those observed by GOSAT-FTS (Greenhouse gases Observing SATellite-Fourier Transform Spectrometer). Systematic deviations between the observed and simulated spectra are found to exist, especially for the O
2
A-band. The discrepancies are characterized by their mean differences averaged over the observed spectral ranges. A correction is applied to the observed GOSAT-FTS L1B (V141.141) spectra by scaling the spectral intensity measured by TANSO-FTS (Thermal and Near infrared Sensor for carbon Observation Fourier Transform Spectrometer) onboard GOSAT. The average columnar CO
2
concentrations (XCO
2
) are retrieved from the observed and the corrected GOSAT-FTS spectra by using the SCIATRAN inversion algorithm. Compared with the GOSAT-FTS L2 XCO
2
data products retrieved from the observed spectra of GOSAT-FTS, the SCIATRAN retrievals from the corrected spectra show a much better agreement, with the relative error less than 1%. But the results of GOSAT TANSO-FTS (V161.160) show smaller residuals than GOSAT TANSO-FTS (V141.141) without mean residual correction. The results indicate that the mean residual correction would increase the precision of XCO
2
retrieval for spectra with systematic deviations. |
| doi_str_mv | 10.1007/s11430-015-0198-x |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1835660803</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4237369551</sourcerecordid><originalsourceid>FETCH-LOGICAL-c268t-a9e37b77833a19faad6fc8cf9dc1ab0f7f8340076082ce18fd06cf5707e06b533</originalsourceid><addsrcrecordid>eNp1UE1LAzEQDaJgqf0B3gKeo8mmm2SPZf0qFAVbwVtIsxO7Zbtbk_TDf2_KevDiwDDDzHtvmIfQNaO3jFJ5Fxgbc0ooy1MWihzP0IApURCmCnmeeiHHRHLGL9EohDVNwdMmkwO0-ShfMxxMhKapI2AP0dewNw2G4xZ8vYE2Bly3OKw6H8nB7AGbtkoT542HCoct2OgNPtRxhefldLJ4m7zgTVdBg13n8dysTFrfQwAfr9CFM02A0W8dovfHh0X5TGavT9NyMiM2EyoSUwCXSykV54YVzphKOKusKyrLzJI66RQfp8cFVZkFplxFhXW5pBKoWOacD9FNr7v13dcOQtTrbufbdFIzxXORiPSEYj3K-i4ED05v08PGf2tG9clY3Rurk7H6ZKw-Jk7Wc0LCtp_g_yj_S_oBgHt76A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1835660803</pqid></control><display><type>article</type><title>XCO2 satellite retrieval experiments in short-wave and infrared spectra with SCIATRAN model for Sahara Desert</title><source>SpringerLink Journals</source><source>Alma/SFX Local Collection</source><creator>Li, YanFen ; Zhang, ChunMin ; Dai, HaiShan ; Zhang, XingYing ; Zhang, Peng</creator><creatorcontrib>Li, YanFen ; Zhang, ChunMin ; Dai, HaiShan ; Zhang, XingYing ; Zhang, Peng</creatorcontrib><description>The spectra of O
2
A-band (0.76 μm) and CO
2
near-infrared emissions (1.6 μm) are simulated by the SCIATRAN radiative transfer model (V3.1.23), and compared with those observed by GOSAT-FTS (Greenhouse gases Observing SATellite-Fourier Transform Spectrometer). Systematic deviations between the observed and simulated spectra are found to exist, especially for the O
2
A-band. The discrepancies are characterized by their mean differences averaged over the observed spectral ranges. A correction is applied to the observed GOSAT-FTS L1B (V141.141) spectra by scaling the spectral intensity measured by TANSO-FTS (Thermal and Near infrared Sensor for carbon Observation Fourier Transform Spectrometer) onboard GOSAT. The average columnar CO
2
concentrations (XCO
2
) are retrieved from the observed and the corrected GOSAT-FTS spectra by using the SCIATRAN inversion algorithm. Compared with the GOSAT-FTS L2 XCO
2
data products retrieved from the observed spectra of GOSAT-FTS, the SCIATRAN retrievals from the corrected spectra show a much better agreement, with the relative error less than 1%. But the results of GOSAT TANSO-FTS (V161.160) show smaller residuals than GOSAT TANSO-FTS (V141.141) without mean residual correction. The results indicate that the mean residual correction would increase the precision of XCO
2
retrieval for spectra with systematic deviations.</description><identifier>ISSN: 1674-7313</identifier><identifier>EISSN: 1869-1897</identifier><identifier>DOI: 10.1007/s11430-015-0198-x</identifier><language>eng</language><publisher>Beijing: Science China Press</publisher><subject>Carbon dioxide ; Deserts ; Earth and Environmental Science ; Earth Sciences ; Fourier transforms ; Greenhouse gases ; Infrared imaging systems ; Radiative transfer ; Research Paper ; Satellites ; Spectrum analysis</subject><ispartof>Science China. Earth sciences, 2016-11, Vol.59 (11), p.2252-2259</ispartof><rights>Science China Press and Springer-Verlag Berlin Heidelberg 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c268t-a9e37b77833a19faad6fc8cf9dc1ab0f7f8340076082ce18fd06cf5707e06b533</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11430-015-0198-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11430-015-0198-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Li, YanFen</creatorcontrib><creatorcontrib>Zhang, ChunMin</creatorcontrib><creatorcontrib>Dai, HaiShan</creatorcontrib><creatorcontrib>Zhang, XingYing</creatorcontrib><creatorcontrib>Zhang, Peng</creatorcontrib><title>XCO2 satellite retrieval experiments in short-wave and infrared spectra with SCIATRAN model for Sahara Desert</title><title>Science China. Earth sciences</title><addtitle>Sci. China Earth Sci</addtitle><description>The spectra of O
2
A-band (0.76 μm) and CO
2
near-infrared emissions (1.6 μm) are simulated by the SCIATRAN radiative transfer model (V3.1.23), and compared with those observed by GOSAT-FTS (Greenhouse gases Observing SATellite-Fourier Transform Spectrometer). Systematic deviations between the observed and simulated spectra are found to exist, especially for the O
2
A-band. The discrepancies are characterized by their mean differences averaged over the observed spectral ranges. A correction is applied to the observed GOSAT-FTS L1B (V141.141) spectra by scaling the spectral intensity measured by TANSO-FTS (Thermal and Near infrared Sensor for carbon Observation Fourier Transform Spectrometer) onboard GOSAT. The average columnar CO
2
concentrations (XCO
2
) are retrieved from the observed and the corrected GOSAT-FTS spectra by using the SCIATRAN inversion algorithm. Compared with the GOSAT-FTS L2 XCO
2
data products retrieved from the observed spectra of GOSAT-FTS, the SCIATRAN retrievals from the corrected spectra show a much better agreement, with the relative error less than 1%. But the results of GOSAT TANSO-FTS (V161.160) show smaller residuals than GOSAT TANSO-FTS (V141.141) without mean residual correction. The results indicate that the mean residual correction would increase the precision of XCO
2
retrieval for spectra with systematic deviations.</description><subject>Carbon dioxide</subject><subject>Deserts</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Fourier transforms</subject><subject>Greenhouse gases</subject><subject>Infrared imaging systems</subject><subject>Radiative transfer</subject><subject>Research Paper</subject><subject>Satellites</subject><subject>Spectrum analysis</subject><issn>1674-7313</issn><issn>1869-1897</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1UE1LAzEQDaJgqf0B3gKeo8mmm2SPZf0qFAVbwVtIsxO7Zbtbk_TDf2_KevDiwDDDzHtvmIfQNaO3jFJ5Fxgbc0ooy1MWihzP0IApURCmCnmeeiHHRHLGL9EohDVNwdMmkwO0-ShfMxxMhKapI2AP0dewNw2G4xZ8vYE2Bly3OKw6H8nB7AGbtkoT542HCoct2OgNPtRxhefldLJ4m7zgTVdBg13n8dysTFrfQwAfr9CFM02A0W8dovfHh0X5TGavT9NyMiM2EyoSUwCXSykV54YVzphKOKusKyrLzJI66RQfp8cFVZkFplxFhXW5pBKoWOacD9FNr7v13dcOQtTrbufbdFIzxXORiPSEYj3K-i4ED05v08PGf2tG9clY3Rurk7H6ZKw-Jk7Wc0LCtp_g_yj_S_oBgHt76A</recordid><startdate>20161101</startdate><enddate>20161101</enddate><creator>Li, YanFen</creator><creator>Zhang, ChunMin</creator><creator>Dai, HaiShan</creator><creator>Zhang, XingYing</creator><creator>Zhang, Peng</creator><general>Science China Press</general><general>Springer Nature B.V</general><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>20161101</creationdate><title>XCO2 satellite retrieval experiments in short-wave and infrared spectra with SCIATRAN model for Sahara Desert</title><author>Li, YanFen ; Zhang, ChunMin ; Dai, HaiShan ; Zhang, XingYing ; Zhang, Peng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c268t-a9e37b77833a19faad6fc8cf9dc1ab0f7f8340076082ce18fd06cf5707e06b533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Carbon dioxide</topic><topic>Deserts</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Fourier transforms</topic><topic>Greenhouse gases</topic><topic>Infrared imaging systems</topic><topic>Radiative transfer</topic><topic>Research Paper</topic><topic>Satellites</topic><topic>Spectrum analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, YanFen</creatorcontrib><creatorcontrib>Zhang, ChunMin</creatorcontrib><creatorcontrib>Dai, HaiShan</creatorcontrib><creatorcontrib>Zhang, XingYing</creatorcontrib><creatorcontrib>Zhang, Peng</creatorcontrib><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>Li, YanFen</au><au>Zhang, ChunMin</au><au>Dai, HaiShan</au><au>Zhang, XingYing</au><au>Zhang, Peng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>XCO2 satellite retrieval experiments in short-wave and infrared spectra with SCIATRAN model for Sahara Desert</atitle><jtitle>Science China. Earth sciences</jtitle><stitle>Sci. China Earth Sci</stitle><date>2016-11-01</date><risdate>2016</risdate><volume>59</volume><issue>11</issue><spage>2252</spage><epage>2259</epage><pages>2252-2259</pages><issn>1674-7313</issn><eissn>1869-1897</eissn><abstract>The spectra of O
2
A-band (0.76 μm) and CO
2
near-infrared emissions (1.6 μm) are simulated by the SCIATRAN radiative transfer model (V3.1.23), and compared with those observed by GOSAT-FTS (Greenhouse gases Observing SATellite-Fourier Transform Spectrometer). Systematic deviations between the observed and simulated spectra are found to exist, especially for the O
2
A-band. The discrepancies are characterized by their mean differences averaged over the observed spectral ranges. A correction is applied to the observed GOSAT-FTS L1B (V141.141) spectra by scaling the spectral intensity measured by TANSO-FTS (Thermal and Near infrared Sensor for carbon Observation Fourier Transform Spectrometer) onboard GOSAT. The average columnar CO
2
concentrations (XCO
2
) are retrieved from the observed and the corrected GOSAT-FTS spectra by using the SCIATRAN inversion algorithm. Compared with the GOSAT-FTS L2 XCO
2
data products retrieved from the observed spectra of GOSAT-FTS, the SCIATRAN retrievals from the corrected spectra show a much better agreement, with the relative error less than 1%. But the results of GOSAT TANSO-FTS (V161.160) show smaller residuals than GOSAT TANSO-FTS (V141.141) without mean residual correction. The results indicate that the mean residual correction would increase the precision of XCO
2
retrieval for spectra with systematic deviations.</abstract><cop>Beijing</cop><pub>Science China Press</pub><doi>10.1007/s11430-015-0198-x</doi><tpages>8</tpages></addata></record> |
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| subjects | Carbon dioxide Deserts Earth and Environmental Science Earth Sciences Fourier transforms Greenhouse gases Infrared imaging systems Radiative transfer Research Paper Satellites Spectrum analysis |
| title | XCO2 satellite retrieval experiments in short-wave and infrared spectra with SCIATRAN model for Sahara Desert |
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