\ud83c\udf00 NASA JPL – ONR – and Pending<\/span><\/div>\n\n\nProject Overview<\/h2>\n
Lack of high-resolution observations in the inner-core of tropical cyclones remains a key issue when constructing an accurate initial state of the storm structure. The major implication of an improper initial state is the poor predictability of the future state of the storm. The size and associated hazard from strong winds at the inner-core make it impossible to sample this region entirely. However, targeting regions of the inner-core where forecasted atmospheric measurements have high uncertainty can significantly improve the accuracy\nof measurements for the initial state of the storm. This study provides a scheme for targeted high-resolution\nobservations for small Unmanned Aircraft Systems (sUAS) platforms (e.g., Coyote sUAS) to improve the\nestimates of the atmospheric measurement in the inner-core structure. The benefit of observation is calculated\nbased on the high-fidelity state-of-the-art hurricane ensemble data assimilation system. Potential locations with\nthe most informative measurements are identified through exploration of various simulation-based solutions\ndepending on the state variables (e.g., pressure, temperature, wind speed, relative humidity) and a combined\nrepresentation of those variables. A sampling-based sUAS path planning algorithm considers energy usage\nwhen locating the regions of highly uncertain prediction of measurements, allowing sUAS to maximize the\nbenefit of observation. Robustness analysis of our algorithm for multiple scenarios of sUAS drop and goal\nlocations shows satisfactory performance against benchmark similar to current NOAA field campaign. With\noptimized sUAS observations, a data assimilation analysis shows significant improvements of up to 4% in the\ntropical cyclone structure estimates after resolving uncertainties at targeted locations<\/p>\n\n
Publications<\/h2>\n
J. Darko, L. Folsom, H. Park, M. Minamide, M. Ono, H. Su, 2022. UAS- based active hurricane sensing with information-theoretic path planning. Earth and Space Science, 9, e2020EA001498.<\/p>\n","protected":false},"excerpt":{"rendered":"
← All Projects\ud83c\udf00 NASA JPL – ONR – and Pending Project Overview Lack of high-resolution observations in the inner-core of tropical cyclones remains a key issue when constructing an accurate initial state of the storm structure. The major implication of an improper initial state is the poor predictability of the future state of the storm.…<\/p>\n","protected":false},"author":26990,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/pages\/6061"}],"collection":[{"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/users\/26990"}],"replies":[{"embeddable":true,"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/comments?post=6061"}],"version-history":[{"count":4,"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/pages\/6061\/revisions"}],"predecessor-version":[{"id":6111,"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/pages\/6061\/revisions\/6111"}],"wp:attachment":[{"href":"https:\/\/fs.wp.odu.edu\/h1park\/wp-json\/wp\/v2\/media?parent=6061"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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