Improvement of AERI T/q Retrievals and Their Validation at Anmyeon-Do, South Korea
An Atmospheric Emitted Radiance Interferometer (AERI), which measures downwelling radiances, has been in operation at Anmyeon-do, South Korea, since June 2010. Temperature and moisture (T/q) profiles with high temporal and vertical resolution can be retrieved from the measured AERI spectrum through...
Gespeichert in:
| Veröffentlicht in: | Journal of atmospheric and oceanic technology 2013-07, Vol.30 (7), p.1433-1446 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1446 |
|---|---|
| container_issue | 7 |
| container_start_page | 1433 |
| container_title | Journal of atmospheric and oceanic technology |
| container_volume | 30 |
| creator | Kang, Shin-Hoo Goo, Tae-Young Ou, Mi-Lim |
| description | An Atmospheric Emitted Radiance Interferometer (AERI), which measures downwelling radiances, has been in operation at Anmyeon-do, South Korea, since June 2010. Temperature and moisture (T/q) profiles with high temporal and vertical resolution can be retrieved from the measured AERI spectrum through the retrieval algorithm AERIPROF. In this work, AERIPROF has been optimized to improve the retrieval performance: 1) a bias spectrum was computed from the coincident radiosondes during the field experiments at Anmyeon-do and 2) regression coefficients were obtained from local radiosondes and associated simulated spectral radiances. An evaluation was performed in the lower troposphere ( |
| doi_str_mv | 10.1175/JTECH-D-12-00029.1 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1671591987</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2826240613</sourcerecordid><originalsourceid>FETCH-LOGICAL-c413t-b8bd61d23e536b3d972f1e5d7d5ec383316d5383672a89b20dbab94cf75f62d13</originalsourceid><addsrcrecordid>eNqFkbtOwzAUhi0EEuXyAkyWWBgI9TmO7WSsaIFCJaQSWC0ndkSqJAYnQeLtSSkTA0xn-c5_0U_IGbArACWm99ni-i6aR4ARYwzTK9gjExDIIhaj3CcTpngaMaHwkBx13WaEgIOckPWyeQv-wzWu7akv6WyxXtJs-k7Xrg-V-zB1R01rafbqqkBfTF1Z01e-paans7b5dL6N5v6SPvmhf6UPPjhzQg7K8c2d_txj8nyzyMZ4q8fb5fVsFRUx8D7Kk9xKsMid4DLnNlVYghNWWeEKnvAxnhXjlQpNkubIbG7yNC5KJUqJFvgxudjpjgXeB9f1uqm6wtW1aZ0fOg1SgUghTdT_aAzpaBQnW9XzX-jGD6Edi2hMUGLMJPC_KIhRxVwibG1xRxXBd11wpX4LVWPCpwamt7vp7930XAPq79008C9fjYe9</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1427436217</pqid></control><display><type>article</type><title>Improvement of AERI T/q Retrievals and Their Validation at Anmyeon-Do, South Korea</title><source>American Meteorological Society</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Kang, Shin-Hoo ; Goo, Tae-Young ; Ou, Mi-Lim</creator><creatorcontrib>Kang, Shin-Hoo ; Goo, Tae-Young ; Ou, Mi-Lim</creatorcontrib><description>An Atmospheric Emitted Radiance Interferometer (AERI), which measures downwelling radiances, has been in operation at Anmyeon-do, South Korea, since June 2010. Temperature and moisture (T/q) profiles with high temporal and vertical resolution can be retrieved from the measured AERI spectrum through the retrieval algorithm AERIPROF. In this work, AERIPROF has been optimized to improve the retrieval performance: 1) a bias spectrum was computed from the coincident radiosondes during the field experiments at Anmyeon-do and 2) regression coefficients were obtained from local radiosondes and associated simulated spectral radiances. An evaluation was performed in the lower troposphere (<700 hPa) with the radiosondes on clear-sky days during the field experiments at Anmyeon-do. The optimized statistical regression results in an improvement of ~0.6 K for temperature and ~0.6 g kg−1 for the mixing ratio on average, in comparison to the original statistical regression. In addition, the optimized AERI T/q retrievals are compared with the satellite [Aqua/Atmospheric Infrared Sounder (AIRS), Meteorological Operation (MetOp)/Infrared Atmospheric Sounding Interferometer (IASI)] T/q retrievals as well as with T/q profiles analyzed from the regional NWP model, the Korea Local Analysis and Prediction System (KLAPS) analysis. The RMS errors of the AERI retrievals are smaller than those of the satellite retrievals (the KLAPS analysis) by ~1.3 K (~0.2 K) for temperature and ~0.3 g kg−1 (~0.2 g kg−1) for the mixing ratio on average. Significant differences could be found between the AERI retrievals with the KLAPS and the satellite retrievals. The local climatic condition seems to be an important factor to bring about this improvement. Considering the training dataset made with spatially distant radiosondes, this is a significant finding. The AERI could bring new information about the lower troposphere.</description><identifier>ISSN: 0739-0572</identifier><identifier>EISSN: 1520-0426</identifier><identifier>DOI: 10.1175/JTECH-D-12-00029.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Accuracy ; Algorithms ; Analysis ; Atmospheric Infrared Sounder ; Atmospheric sounding ; Atmospherics ; Calibration ; Clear sky ; Climatic conditions ; Coefficients ; Downwelling ; Field tests ; Fourier transforms ; Humidity ; Infrared interferometers ; Interferometers ; Lower troposphere ; Marine ; Mathematical models ; Mixing ratio ; Moisture effects ; Radiance ; Radiosondes ; Rain ; Regression ; Regression analysis ; Regression coefficients ; Remote sensing ; Retrieval ; Satellites ; Statistical analysis ; Statistics ; Temperature ; Troposphere</subject><ispartof>Journal of atmospheric and oceanic technology, 2013-07, Vol.30 (7), p.1433-1446</ispartof><rights>Copyright American Meteorological Society Jul 2013</rights><rights>Copyright American Meteorological Society 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c413t-b8bd61d23e536b3d972f1e5d7d5ec383316d5383672a89b20dbab94cf75f62d13</citedby><cites>FETCH-LOGICAL-c413t-b8bd61d23e536b3d972f1e5d7d5ec383316d5383672a89b20dbab94cf75f62d13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3681,27924,27925</link.rule.ids></links><search><creatorcontrib>Kang, Shin-Hoo</creatorcontrib><creatorcontrib>Goo, Tae-Young</creatorcontrib><creatorcontrib>Ou, Mi-Lim</creatorcontrib><title>Improvement of AERI T/q Retrievals and Their Validation at Anmyeon-Do, South Korea</title><title>Journal of atmospheric and oceanic technology</title><description>An Atmospheric Emitted Radiance Interferometer (AERI), which measures downwelling radiances, has been in operation at Anmyeon-do, South Korea, since June 2010. Temperature and moisture (T/q) profiles with high temporal and vertical resolution can be retrieved from the measured AERI spectrum through the retrieval algorithm AERIPROF. In this work, AERIPROF has been optimized to improve the retrieval performance: 1) a bias spectrum was computed from the coincident radiosondes during the field experiments at Anmyeon-do and 2) regression coefficients were obtained from local radiosondes and associated simulated spectral radiances. An evaluation was performed in the lower troposphere (<700 hPa) with the radiosondes on clear-sky days during the field experiments at Anmyeon-do. The optimized statistical regression results in an improvement of ~0.6 K for temperature and ~0.6 g kg−1 for the mixing ratio on average, in comparison to the original statistical regression. In addition, the optimized AERI T/q retrievals are compared with the satellite [Aqua/Atmospheric Infrared Sounder (AIRS), Meteorological Operation (MetOp)/Infrared Atmospheric Sounding Interferometer (IASI)] T/q retrievals as well as with T/q profiles analyzed from the regional NWP model, the Korea Local Analysis and Prediction System (KLAPS) analysis. The RMS errors of the AERI retrievals are smaller than those of the satellite retrievals (the KLAPS analysis) by ~1.3 K (~0.2 K) for temperature and ~0.3 g kg−1 (~0.2 g kg−1) for the mixing ratio on average. Significant differences could be found between the AERI retrievals with the KLAPS and the satellite retrievals. The local climatic condition seems to be an important factor to bring about this improvement. Considering the training dataset made with spatially distant radiosondes, this is a significant finding. The AERI could bring new information about the lower troposphere.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Atmospheric Infrared Sounder</subject><subject>Atmospheric sounding</subject><subject>Atmospherics</subject><subject>Calibration</subject><subject>Clear sky</subject><subject>Climatic conditions</subject><subject>Coefficients</subject><subject>Downwelling</subject><subject>Field tests</subject><subject>Fourier transforms</subject><subject>Humidity</subject><subject>Infrared interferometers</subject><subject>Interferometers</subject><subject>Lower troposphere</subject><subject>Marine</subject><subject>Mathematical models</subject><subject>Mixing ratio</subject><subject>Moisture effects</subject><subject>Radiance</subject><subject>Radiosondes</subject><subject>Rain</subject><subject>Regression</subject><subject>Regression analysis</subject><subject>Regression coefficients</subject><subject>Remote sensing</subject><subject>Retrieval</subject><subject>Satellites</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Temperature</subject><subject>Troposphere</subject><issn>0739-0572</issn><issn>1520-0426</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkbtOwzAUhi0EEuXyAkyWWBgI9TmO7WSsaIFCJaQSWC0ndkSqJAYnQeLtSSkTA0xn-c5_0U_IGbArACWm99ni-i6aR4ARYwzTK9gjExDIIhaj3CcTpngaMaHwkBx13WaEgIOckPWyeQv-wzWu7akv6WyxXtJs-k7Xrg-V-zB1R01rafbqqkBfTF1Z01e-paans7b5dL6N5v6SPvmhf6UPPjhzQg7K8c2d_txj8nyzyMZ4q8fb5fVsFRUx8D7Kk9xKsMid4DLnNlVYghNWWeEKnvAxnhXjlQpNkubIbG7yNC5KJUqJFvgxudjpjgXeB9f1uqm6wtW1aZ0fOg1SgUghTdT_aAzpaBQnW9XzX-jGD6Edi2hMUGLMJPC_KIhRxVwibG1xRxXBd11wpX4LVWPCpwamt7vp7930XAPq79008C9fjYe9</recordid><startdate>20130701</startdate><enddate>20130701</enddate><creator>Kang, Shin-Hoo</creator><creator>Goo, Tae-Young</creator><creator>Ou, Mi-Lim</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20130701</creationdate><title>Improvement of AERI T/q Retrievals and Their Validation at Anmyeon-Do, South Korea</title><author>Kang, Shin-Hoo ; Goo, Tae-Young ; Ou, Mi-Lim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c413t-b8bd61d23e536b3d972f1e5d7d5ec383316d5383672a89b20dbab94cf75f62d13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>Analysis</topic><topic>Atmospheric Infrared Sounder</topic><topic>Atmospheric sounding</topic><topic>Atmospherics</topic><topic>Calibration</topic><topic>Clear sky</topic><topic>Climatic conditions</topic><topic>Coefficients</topic><topic>Downwelling</topic><topic>Field tests</topic><topic>Fourier transforms</topic><topic>Humidity</topic><topic>Infrared interferometers</topic><topic>Interferometers</topic><topic>Lower troposphere</topic><topic>Marine</topic><topic>Mathematical models</topic><topic>Mixing ratio</topic><topic>Moisture effects</topic><topic>Radiance</topic><topic>Radiosondes</topic><topic>Rain</topic><topic>Regression</topic><topic>Regression analysis</topic><topic>Regression coefficients</topic><topic>Remote sensing</topic><topic>Retrieval</topic><topic>Satellites</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>Temperature</topic><topic>Troposphere</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kang, Shin-Hoo</creatorcontrib><creatorcontrib>Goo, Tae-Young</creatorcontrib><creatorcontrib>Ou, Mi-Lim</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</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>Research Library Prep</collection><collection>Aerospace Database</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>Advanced Technologies Database with Aerospace</collection><collection>Military Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental 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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Journal of atmospheric and oceanic technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kang, Shin-Hoo</au><au>Goo, Tae-Young</au><au>Ou, Mi-Lim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improvement of AERI T/q Retrievals and Their Validation at Anmyeon-Do, South Korea</atitle><jtitle>Journal of atmospheric and oceanic technology</jtitle><date>2013-07-01</date><risdate>2013</risdate><volume>30</volume><issue>7</issue><spage>1433</spage><epage>1446</epage><pages>1433-1446</pages><issn>0739-0572</issn><eissn>1520-0426</eissn><abstract>An Atmospheric Emitted Radiance Interferometer (AERI), which measures downwelling radiances, has been in operation at Anmyeon-do, South Korea, since June 2010. Temperature and moisture (T/q) profiles with high temporal and vertical resolution can be retrieved from the measured AERI spectrum through the retrieval algorithm AERIPROF. In this work, AERIPROF has been optimized to improve the retrieval performance: 1) a bias spectrum was computed from the coincident radiosondes during the field experiments at Anmyeon-do and 2) regression coefficients were obtained from local radiosondes and associated simulated spectral radiances. An evaluation was performed in the lower troposphere (<700 hPa) with the radiosondes on clear-sky days during the field experiments at Anmyeon-do. The optimized statistical regression results in an improvement of ~0.6 K for temperature and ~0.6 g kg−1 for the mixing ratio on average, in comparison to the original statistical regression. In addition, the optimized AERI T/q retrievals are compared with the satellite [Aqua/Atmospheric Infrared Sounder (AIRS), Meteorological Operation (MetOp)/Infrared Atmospheric Sounding Interferometer (IASI)] T/q retrievals as well as with T/q profiles analyzed from the regional NWP model, the Korea Local Analysis and Prediction System (KLAPS) analysis. The RMS errors of the AERI retrievals are smaller than those of the satellite retrievals (the KLAPS analysis) by ~1.3 K (~0.2 K) for temperature and ~0.3 g kg−1 (~0.2 g kg−1) for the mixing ratio on average. Significant differences could be found between the AERI retrievals with the KLAPS and the satellite retrievals. The local climatic condition seems to be an important factor to bring about this improvement. Considering the training dataset made with spatially distant radiosondes, this is a significant finding. The AERI could bring new information about the lower troposphere.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/JTECH-D-12-00029.1</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0739-0572 |
| ispartof | Journal of atmospheric and oceanic technology, 2013-07, Vol.30 (7), p.1433-1446 |
| issn | 0739-0572 1520-0426 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1671591987 |
| source | American Meteorological Society; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Accuracy Algorithms Analysis Atmospheric Infrared Sounder Atmospheric sounding Atmospherics Calibration Clear sky Climatic conditions Coefficients Downwelling Field tests Fourier transforms Humidity Infrared interferometers Interferometers Lower troposphere Marine Mathematical models Mixing ratio Moisture effects Radiance Radiosondes Rain Regression Regression analysis Regression coefficients Remote sensing Retrieval Satellites Statistical analysis Statistics Temperature Troposphere |
| title | Improvement of AERI T/q Retrievals and Their Validation at Anmyeon-Do, South Korea |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T03%3A09%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Improvement%20of%20AERI%20T/q%20Retrievals%20and%20Their%20Validation%20at%20Anmyeon-Do,%20South%20Korea&rft.jtitle=Journal%20of%20atmospheric%20and%20oceanic%20technology&rft.au=Kang,%20Shin-Hoo&rft.date=2013-07-01&rft.volume=30&rft.issue=7&rft.spage=1433&rft.epage=1446&rft.pages=1433-1446&rft.issn=0739-0572&rft.eissn=1520-0426&rft_id=info:doi/10.1175/JTECH-D-12-00029.1&rft_dat=%3Cproquest_cross%3E2826240613%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1427436217&rft_id=info:pmid/&rfr_iscdi=true |