{"id":168,"date":"2021-08-04T20:04:09","date_gmt":"2021-08-04T20:04:09","guid":{"rendered":"https:\/\/www.ssec.wisc.edu\/geo-ir-sounder\/?page_id=168"},"modified":"2025-03-05T20:33:49","modified_gmt":"2025-03-05T20:33:49","slug":"on-orbit","status":"publish","type":"page","link":"https:\/\/www.ssec.wisc.edu\/geo-ir-sounder\/on-orbit\/","title":{"rendered":"On-orbit"},"content":{"rendered":"\n<p><strong>Geostationary Interferometric Infrared Sounder (GIIRS)<\/strong><\/p>\n\n\n\n<p>GIIRS is the first airborne hyperspectral IR sounder onboard a geostationary satellite. The high temporal resolution from GIIRS, in contrast to those on LEOs, offers an opportunity for new or enhanced applications. <\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Liu, Y.-A., Zhang, Z., Li, J., Li, Z., Min, M., Di, D., &amp; Bai, W. (2025). Impacts of thermodynamic and dynamic information from geostationary hyperspectral infrared sounder on tropical cyclone forecasts. <em>Journal of Geophysical Research: Atmospheres<\/em>, 130, e2024JD042194. <a href=\"https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/abs\/10.1029\/2024JD042194\">https:\/\/doi.org\/10.1029\/2024JD042194<\/a><\/p>\n\n\n\n<p><em>Yin, R.; Han, W.; Wang, H.; Wang, J. Impacts of FY-4A GIIRS Water Vapor Channels Data Assimilation on the Forecast of \u201c21\u00b77\u201d Extreme Rainstorm in Henan, China with CMA-MESO. Remote Sens. <strong>2022<\/strong>, 14, 5710. <a href=\"https:\/\/doi.org\/10.3390\/rs14225710\">https:\/\/doi.org\/10.3390\/rs14225710<\/a><\/em><\/p>\n\n\n\n<p><em>Yin, R., Han, W., Gao, Z., &amp; Li, J. (2021). Impact of high temporal resolution FY-4A Geostationary Interferometric Infrared Sounder (GIIRS) radiance measurements on Typhoon forecasts: Maria (2018) case with GRAPES global 4D-Var assimilation system. Geophysical Research Letters, 48, e2021GL093672. <a href=\"https:\/\/doi.org\/10.1029\/2021GL093672\">https:\/\/doi.org\/10.1029\/2021GL093672<\/a><\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>Good Things Need Time: Progress With the First Hyperspectral Sounder in Geostationary Orbit &#8212;<\/em> A commentary by Jo Schmetz <a href=\"https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/full\/10.1029\/2021GL096207\">https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/full\/10.1029\/2021GL096207<\/a><\/li>\n<\/ul>\n\n\n\n<p><em>Ma, Z., Li, J., Han, W., Li, Z., Zeng, Q., Menzel, W. P., et&nbsp;al. (2021). Four-dimensional wind fields from geostationary hyperspectral infrared sounder radiance measurements with high temporal resolution. Geophysical Research Letters, 48, e2021GL093794. <a href=\"https:\/\/doi.org\/10.1029\/2021GL093794\">https:\/\/doi.org\/10.1029\/2021GL093794<\/a><\/em><\/p>\n\n\n\n<p><em>Yin, Ruoying, Wei Han, Zhiqiu Gao, and Di Di. &#8220;The evaluation of FY4A&#8217;s Geostationary Interferometric Infrared Sounder (GIIRS) long\u2010wave temperature sounding channels using the GRAPES global 4D\u2010Var.&#8221; Quarterly Journal of the Royal Meteorological Society 146, no. 728 (2020): 1459-1476. <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1002\/qj.3746\" target=\"_blank\">https:\/\/doi.org\/10.1002\/qj.3746<\/a><\/em><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Clarisse, L., Van Damme, M., Hurtmans, D., Franco, B., Clerbaux, C., &amp; Coheur, P.-F. (2021). The diel cycle of NH<sub>3<\/sub> observed from the FY-4A Geostationary Interferometric Infrared Sounder (GIIRS). <em>Geophysical Research Letters<\/em>, 48, e2021GL093010. <a href=\"https:\/\/doi.org\/10.1029\/2021GL093010\">https:\/\/doi.org\/10.1029\/2021GL093010<\/a><\/p>\n\n\n\n<p>Li, J., A. Geer, K. Okamoto, J. Otkin, Z. Q. Liu, W. Han, and P. Wang, 2021: Satellite all-sky infrared radiance assimilation: Recent progress and future perspectives. Adv. Atmos. Sci., <a href=\"https:\/\/doi.org\/10.1007\/s00376-021-1088-9\">https:\/\/doi.org\/10.1007\/s00376-021-1088-9<\/a><\/p>\n\n\n\n<p>Maier, J., and R. Knuteson. &#8221; Data Fusion of GEO FY-4A GIIRS and LEO Hyperspectral Infrared Sounders with Surface Observations: A Hong Kong Case Study&#8221;. <em>Journal of Atmospheric and Oceanic Technology<\/em> 39.2 (2022): 259-270. &lt;<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1175\/JTECH-D-21-0080.1\" target=\"_blank\"> https:\/\/doi.org\/10.1175\/JTECH-D-21-0080.1<\/a>&gt;.<\/p>\n\n\n\n<p>Li, J., Zhang, Y., Di, D., Ma, Z., Li, Z., Schmit, T. J., &amp; Menzel, W. P. (2022). The influence of sub-footprint cloudiness on three-dimensional horizontal wind from geostationary hyperspectral infrared sounder observations. Geophysical Research Letters, 49, e2022GL098460. <a href=\"https:\/\/doi.org\/10.1029\/2022GL098460\">https:\/\/doi.org\/10.1029\/2022GL098460<\/a><\/p>\n\n\n\n<p>Jie Feng, Xiaohao Qin, Chunqiang Wu, Peng Zhang, Lei Yang, Xueshun Shen, Wei Han, Yongzhu Liu,<br>Improving typhoon predictions by assimilating the retrieval of atmospheric temperature profiles from the FengYun-4A&#8217;s Geostationary Interferometric Infrared Sounder (GIIRS), Atmospheric Research, Volume 280,<br>2022, 106391, ISSN 0169-8095, <a href=\"https:\/\/doi.org\/10.1016\/j.atmosres.2022.106391\">https:\/\/doi.org\/10.1016\/j.atmosres.2022.106391<\/a>.<\/p>\n\n\n\n<p>D. Di, J. Li, W. Han and R. Yin, &#8220;Geostationary Hyperspectral Infrared Sounder Channel Selection for Capturing Fast-Changing Atmospheric Information,&#8221; in <em>IEEE Transactions on Geoscience and Remote Sensing<\/em>, vol. 60, pp. 1-10, 2022, Art no. 4102210, <a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9438955\">doi: 10.1109\/TGRS.2021.3078829<\/a>.<br><\/p>\n\n\n\n<p>Li, J., Menzel, W. P., Schmit, T. J., &amp; Schmetz, J. (2022). Applications of Geostationary Hyperspectral Infrared Sounder Observations: Progress, Challenges, and Future Perspectives, <em>Bulletin of the American Meteorological Society<\/em>, <em>103<\/em>(12), E2733-E2755. Retrieved Dec 22, 2022, from <a rel=\"noreferrer noopener\" href=\"https:\/\/journals.ametsoc.org\/view\/journals\/bams\/103\/12\/BAMS-D-21-0328.1.xml\" target=\"_blank\">https:\/\/journals.ametsoc.org\/view\/journals\/bams\/103\/12\/BAMS-D-21-0328.1.xml<\/a><\/p>\n\n\n\n<p>Ren, S., Jiang, J., Fang, X. <em>et al.<\/em> <em>FY-4A<\/em>\/GIIRS Temperature Validation in Winter and Application to Cold Wave Monitoring. <em>J Meteorol Res<\/em> <strong>36<\/strong>, 658\u2013676 (2022). <a href=\"https:\/\/doi.org\/10.1007\/s13351-022-2015-4\">https:\/\/doi.org\/10.1007\/s13351-022-2015-4<\/a><\/p>\n\n\n\n<p>P.-W. Chan, <strong>W. Han<\/strong>, B. Mak, X. H. Qin, Y. Z. Liu, R. Y. Yin, and J. C. Wang, 2022: Ground\u2013space\u2013sky observing system experiment during tropical cyclone Mulan in August 2022. <em>Adv. Atmos. Sci<\/em>., <a href=\"https:\/\/doi.org\/10.1007\/s00376-022-2267-z\">https:\/\/doi.org\/10.1007\/s00376-022-2267-z<\/a>.<\/p>\n\n\n\n<p>Zhou, Kuo, Lingkun Ran, Libo Zhou, Tianbao Zhao, Lei Chen, and Haiwen Liu. &#8220;The study of Fengyun4A temperature profile data assimilation in a southwest vortex heavy rainfall case.&#8221; Atmospheric Research (2023): <a href=\"https:\/\/pdf.sciencedirectassets.com\/271881\/1-s2.0-S0169809522X00161\/1-s2.0-S016980952200552X\/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEHAaCXVzLWVhc3QtMSJHMEUCIQDQ91QYAQ6%2F%2F26iK%2Bdet1uMBYyujFBfk3E2UA%2BZ5%2FzSKQIgBCSv%2FfEum93ytBPKxBtizq4JQkSlKJQnR1aPrdtXeqIq1QQIqf%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAFGgwwNTkwMDM1NDY4NjUiDIW%2FhRR%2BA5HL1knIQSqpBDdSh1eJhe1idR789NeNo25b3EynZ8B6ZQeTxK4PkZEdNMcwjvnPijKHUs8Qye8i7hz55vaosbe0uMUKS1PZ5Nhe2j9j3%2BIFgxsNegtYf77W%2BIVj5U2CdWfhnPAs3ddGdR8fBHUDF7%2BqXttQ92cpPywHc%2BlDGykUEGlYTdpl5dV%2BShOUlfBLGY9OzbJttK7NOCPhAzmfRxR90DbXJwGG5fzOCF5Yue%2Bj22N0aZmPswKyHxh3amIjRlkRsRRzCxxvKFqYDvU379IQ5fRx%2FgTCcdGs2nlv%2BeBarapMHlwRQ%2Bemnspex%2BH58vNAInb7azN4UvEUcrx6kvWrZorByDadB0EIyx05I1Ici2NsJ4VyF8MGqt13YtHxycx22TMBNHR4lRkhUxQiEPWsnI8IDx%2FNpQNby1848Lxxwo9kwS036RddIQt3CnoA%2FropEIb4%2Fg%2BXToxMgKZJgymQLrEDhOiin%2BP3mr7%2Frw4sZid7V85Duoc9OZ0gq2RmhmK2AT84fSdCgIS1GNsCiIWCkFrm4%2BHhrefob2LhUdJVRTxhpQGZbFKkh2JeqNp5G%2BREKrBvHbqNhZSTiBLWPrRBZE7wUW6ro%2BS4Bl%2BsrFdkOj5V5beuDsrmEX%2BvZqvzn03npbyb2HWPaZNtLU7q7oWEMWndS0Jk5vtG0ZoBGdTn5OEzZgdTUyd%2BR5d2ANchafAbe5cvrt6q9jQ9LXq2PZAZOG96cCpZadw3Bmq31%2BiOYlgwovKRnQY6qQGDJy%2FzU5v2536QhbXG2wFek8fMvS9uUVjKrveWhxGiS7ukiWJ2qnAZW%2F7xcNLukquDNPizKk9Ctih0icn2M8n0XIGaJQbeSS6zK2KqXXJGKeDOPNsXb9PBCWvU8Tzb%2FYieufFaSoLh7mhf293r1%2FxFh9JxTNCTxzDRsJXOECgKTCEjMStJmg4e%2B76WfBJSsHahe3QE%2FMF%2BeZCg2oCgVM7bq5QAZCMqVR3C&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20221222T160947Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTYVRG4B2WO%2F20221222%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=b6fa2601f3f055272c1ae5fe11753a6164e07b76aaf2daca2d7a54f7c1304158&amp;hash=ddadb306473adb0e2087f9e2fc08e8bf121c53d53b188d40bd28fce51935e8bb&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S016980952200552X&amp;tid=spdf-12179ddb-807a-43bf-9a75-67759414770a&amp;sid=bbc5314384d23642081910d8fc086dd9347dgxrqa&amp;type=client&amp;ua=5155060f51040c5c0100&amp;rr=77da1fb9fd221b63\">106566<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Geostationary Interferometric Infrared Sounder (GIIRS) GIIRS is the first airborne hyperspectral IR sounder onboard a geostationary satellite. The high temporal resolution from GIIRS, in contrast to those on LEOs, offers an opportunity for new or enhanced applications. Liu, Y.-A., Zhang, Z., Li, J., Li, Z., Min, M., Di, D., &amp; Bai, W. (2025). Impacts of [&hellip;]<\/p>\n","protected":false},"author":54,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-168","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ssec.wisc.edu\/geo-ir-sounder\/wp-json\/wp\/v2\/pages\/168","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ssec.wisc.edu\/geo-ir-sounder\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ssec.wisc.edu\/geo-ir-sounder\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ssec.wisc.edu\/geo-ir-sounder\/wp-json\/wp\/v2\/users\/54"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ssec.wisc.edu\/geo-ir-sounder\/wp-json\/wp\/v2\/comments?post=168"}],"version-history":[{"count":20,"href":"https:\/\/www.ssec.wisc.edu\/geo-ir-sounder\/wp-json\/wp\/v2\/pages\/168\/revisions"}],"predecessor-version":[{"id":543,"href":"https:\/\/www.ssec.wisc.edu\/geo-ir-sounder\/wp-json\/wp\/v2\/pages\/168\/revisions\/543"}],"wp:attachment":[{"href":"https:\/\/www.ssec.wisc.edu\/geo-ir-sounder\/wp-json\/wp\/v2\/media?parent=168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}