A New Infrared Atmospheric Sounding Interferometer Channel Selection and Assessment of Its Impact on Met Office NWP Forecasts
A new set of Infrared Atmospheric Sounding Interferometer (IASI) channels was re-selected from 314 EUMETSAT channels. In selecting channels, we calculated the impact of the individually added channel on the improvement in the analysis outputs from a one-dimensional variational analysis (1D-Var) for...
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description | A new set of Infrared Atmospheric Sounding Interferometer (IASI) channels was re-selected from 314 EUMETSAT channels. In selecting channels, we calculated the impact of the individually added channel on the improvement in the analysis outputs from a one-dimensional variational analysis (1D-Var) for the Unified Model (UM) data assimilation system at the Met Office, using the channel score index (CSI) as a figure of merit. Then, 200 channels were selected in order by counting each individual channel's CSI contribution. Compared with the operationally used 183 channels for the UM at the Met Office, the new set shares 149 channels, while the other 51 channels are new. Also examined is the selection from the entropy reduction method with the same 1D-Var approach, Results suggest that channel selection can be made in a more objective fashion using the proposed CSI method. This is because the most important channels can be selected across the whole IASI observation spectrum. In the experimental trial runs using the UM global assimilation system, the new channels had an overall neutral impact in terms of improvement in forecasts, as compared with results from the operational channels. However, upper-tropospheric moist biases shown in the control run with operational channels were significantly reduced in the experimental trial with the newly selected channels. The reduction of moist biases was mainly due to the additional water vapor channels, which are sensitive to the upper-tropospheric water vapor. |
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In selecting channels, we calculated the impact of the individually added channel on the improvement in the analysis outputs from a one-dimensional variational analysis (1D-Var) for the Unified Model (UM) data assimilation system at the Met Office, using the channel score index (CSI) as a figure of merit. Then, 200 channels were selected in order by counting each individual channel's CSI contribution. Compared with the operationally used 183 channels for the UM at the Met Office, the new set shares 149 channels, while the other 51 channels are new. Also examined is the selection from the entropy reduction method with the same 1D-Var approach, Results suggest that channel selection can be made in a more objective fashion using the proposed CSI method. This is because the most important channels can be selected across the whole IASI observation spectrum. In the experimental trial runs using the UM global assimilation system, the new channels had an overall neutral impact in terms of improvement in forecasts, as compared with results from the operational channels. However, upper-tropospheric moist biases shown in the control run with operational channels were significantly reduced in the experimental trial with the newly selected channels. The reduction of moist biases was mainly due to the additional water vapor channels, which are sensitive to the upper-tropospheric water vapor.</description><identifier>ISSN: 0256-1530</identifier><identifier>EISSN: 1861-9533</identifier><identifier>DOI: 10.1007/s00376-017-6299-8</identifier><language>eng</language><publisher>Beijing: Science Press</publisher><subject>Atmospheric Sciences ; Atmospheric sounding ; Channels ; Data assimilation ; Data collection ; Dimensional analysis ; Earth and Environmental Science ; Earth Sciences ; Entropy ; Figure of merit ; Geophysics/Geodesy ; Infrared interferometers ; Meteorology ; Methods ; Original Paper ; Reduction ; Troposphere ; Tropospheric water vapor ; Water vapor ; Water vapour ; Weather forecasting ; 信道选择 ; 大气探测 ; 干涉仪 ; 数值 ; 气象局 ; 渠道 ; 红外 ; 预报预测</subject><ispartof>Advances in atmospheric sciences, 2017-11, Vol.34 (11), p.1265-1281</ispartof><rights>The Author(s) 2017</rights><rights>Advances in Atmospheric Sciences is a copyright of Springer, 2017.</rights><rights>Copyright © Wanfang Data Co. 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All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-687fe73b948ecee89c6d2c2e65624de604a1ab5d850bd1531e27b85da1681b603</citedby><cites>FETCH-LOGICAL-c420t-687fe73b948ecee89c6d2c2e65624de604a1ab5d850bd1531e27b85da1681b603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/84334X/84334X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00376-017-6299-8$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00376-017-6299-8$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Noh, Young-Chan</creatorcontrib><creatorcontrib>Sohn, Byung-Ju</creatorcontrib><creatorcontrib>Kim, Yoonjae</creatorcontrib><creatorcontrib>Joo, Sangwon</creatorcontrib><creatorcontrib>Bell, William</creatorcontrib><creatorcontrib>Saunders, Roger</creatorcontrib><title>A New Infrared Atmospheric Sounding Interferometer Channel Selection and Assessment of Its Impact on Met Office NWP Forecasts</title><title>Advances in atmospheric sciences</title><addtitle>Adv. Atmos. Sci</addtitle><addtitle>Advances in Atmospheric Sciences</addtitle><description>A new set of Infrared Atmospheric Sounding Interferometer (IASI) channels was re-selected from 314 EUMETSAT channels. In selecting channels, we calculated the impact of the individually added channel on the improvement in the analysis outputs from a one-dimensional variational analysis (1D-Var) for the Unified Model (UM) data assimilation system at the Met Office, using the channel score index (CSI) as a figure of merit. Then, 200 channels were selected in order by counting each individual channel's CSI contribution. Compared with the operationally used 183 channels for the UM at the Met Office, the new set shares 149 channels, while the other 51 channels are new. Also examined is the selection from the entropy reduction method with the same 1D-Var approach, Results suggest that channel selection can be made in a more objective fashion using the proposed CSI method. This is because the most important channels can be selected across the whole IASI observation spectrum. In the experimental trial runs using the UM global assimilation system, the new channels had an overall neutral impact in terms of improvement in forecasts, as compared with results from the operational channels. However, upper-tropospheric moist biases shown in the control run with operational channels were significantly reduced in the experimental trial with the newly selected channels. The reduction of moist biases was mainly due to the additional water vapor channels, which are sensitive to the upper-tropospheric water vapor.</description><subject>Atmospheric Sciences</subject><subject>Atmospheric sounding</subject><subject>Channels</subject><subject>Data assimilation</subject><subject>Data collection</subject><subject>Dimensional analysis</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Entropy</subject><subject>Figure of merit</subject><subject>Geophysics/Geodesy</subject><subject>Infrared interferometers</subject><subject>Meteorology</subject><subject>Methods</subject><subject>Original Paper</subject><subject>Reduction</subject><subject>Troposphere</subject><subject>Tropospheric water vapor</subject><subject>Water vapor</subject><subject>Water vapour</subject><subject>Weather forecasting</subject><subject>信道选择</subject><subject>大气探测</subject><subject>干涉仪</subject><subject>数值</subject><subject>气象局</subject><subject>渠道</subject><subject>红外</subject><subject>预报预测</subject><issn>0256-1530</issn><issn>1861-9533</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kUtvEzEUhS0EEqHwA9hZsGIx4MeMH8sooiVSaZEKYml5PNfJhIyd2I4KlfrfcTUVsGJlW_7OObr3IPSakveUEPkhE8KlaAiVjWBaN-oJWlAlaKM7zp-iBWGdaGjHyXP0IuddpTVXdIHul_gKbvE6-GQTDHhZppgPW0ijwzfxFIYxbOpvgeQhxQnqBa-2NgTY4xvYgytjDNiGqswZcp4gFBw9XpeM19PBuvoK-DMUfO396ABfff-Cz2MCZ3PJL9Ezb_cZXj2eZ-jb-cevq0_N5fXFerW8bFzLSGmEkh4k73WrwAEo7cTAHAPRCdYOIEhrqe27QXWkH-qQFJjsVTdYKhTtBeFn6N3se2uDt2FjdvGUQk00w_HHz92dAVY3R-smWWXfzuwhxeMJcvkLU8011VJoWSk6Uy7FnBN4c0jjZNMvQ4l5aMTMjZjqax4aMapq2KzJlQ0bSP84_0f05jFoG8PmWHV_koTknMpWav4b80iZkw</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>Noh, Young-Chan</creator><creator>Sohn, Byung-Ju</creator><creator>Kim, Yoonjae</creator><creator>Joo, Sangwon</creator><creator>Bell, William</creator><creator>Saunders, Roger</creator><general>Science Press</general><general>Springer Nature B.V</general><general>School of Earth and Environmental Sciences, Seoul National University, Seoul 08826, Korea%Numerical Modeling Center, Korea Meteorological Administration, Seoul 07062, Korea%Met Office, Exeter EX1 3PB, United Kingdom</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W94</scope><scope>~WA</scope><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</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>M1Q</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20171101</creationdate><title>A New Infrared Atmospheric Sounding Interferometer Channel Selection and Assessment of Its Impact on Met Office NWP Forecasts</title><author>Noh, Young-Chan ; 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Atmos. Sci</stitle><addtitle>Advances in Atmospheric Sciences</addtitle><date>2017-11-01</date><risdate>2017</risdate><volume>34</volume><issue>11</issue><spage>1265</spage><epage>1281</epage><pages>1265-1281</pages><issn>0256-1530</issn><eissn>1861-9533</eissn><abstract>A new set of Infrared Atmospheric Sounding Interferometer (IASI) channels was re-selected from 314 EUMETSAT channels. In selecting channels, we calculated the impact of the individually added channel on the improvement in the analysis outputs from a one-dimensional variational analysis (1D-Var) for the Unified Model (UM) data assimilation system at the Met Office, using the channel score index (CSI) as a figure of merit. Then, 200 channels were selected in order by counting each individual channel's CSI contribution. Compared with the operationally used 183 channels for the UM at the Met Office, the new set shares 149 channels, while the other 51 channels are new. Also examined is the selection from the entropy reduction method with the same 1D-Var approach, Results suggest that channel selection can be made in a more objective fashion using the proposed CSI method. This is because the most important channels can be selected across the whole IASI observation spectrum. In the experimental trial runs using the UM global assimilation system, the new channels had an overall neutral impact in terms of improvement in forecasts, as compared with results from the operational channels. However, upper-tropospheric moist biases shown in the control run with operational channels were significantly reduced in the experimental trial with the newly selected channels. The reduction of moist biases was mainly due to the additional water vapor channels, which are sensitive to the upper-tropospheric water vapor.</abstract><cop>Beijing</cop><pub>Science Press</pub><doi>10.1007/s00376-017-6299-8</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Atmospheric Sciences Atmospheric sounding Channels Data assimilation Data collection Dimensional analysis Earth and Environmental Science Earth Sciences Entropy Figure of merit Geophysics/Geodesy Infrared interferometers Meteorology Methods Original Paper Reduction Troposphere Tropospheric water vapor Water vapor Water vapour Weather forecasting 信道选择 大气探测 干涉仪 数值 气象局 渠道 红外 预报预测 |
title | A New Infrared Atmospheric Sounding Interferometer Channel Selection and Assessment of Its Impact on Met Office NWP Forecasts |
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