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PRODID:-//University of Hawaii//UH Events Calendar//EN
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TZID:Pacific/Honolulu
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CLASS:PUBLIC
CREATED:20260917T042019Z
DESCRIPTION:Synthetic aperture radars (SAR) aboard space-borne satellites measure sub-mesoscale oceanic and atmospheric phenomena at a global scale. This work uses the European Space Agency (ESA) Sentinel-1 (S-1) SAR mission’s sea surface roughness to study sub-mesoscale phenomena such as turbulence in the atmosphere, rain, and slicks. To utilize the large S-1 archive (>1Pb), we develop automatic image detection methods using deep learning. We developed a foundational contrastive model trained solely on millions of S-1 images. This model, called WVNET, exceeds the performance of other models such as ImageNet in a variety of tasks including regression and classification. With the improved model performance, we have more confidence in estimating the climatology of the sea surface roughness morphology. We find the atmosphere dominates the SAR imagery. The time-space mapping of WVNet’s predictions is relevant for the study of air-sea interactions. \n\nYannik Glaser\nPhD Candidate in Information and Computer Science\nDepartment of Atmospheric Sciences\nUniversity of Hawai’i at Mānoa\nJustin Stopa\nAssociate Professor\nDepartment of Ocean and Resources Engineering\nUniversity of Hawai’i at Mānoa\n\nLocation Information\n**This seminar will be held both in person (Marine Sciences Building 100) and over Zoom**\nZoom Invitation Link: https://hawaii.zoom.us/j/98919200762\nMeeting ID: 989 1920 0762\nPasscode: 201326
DTEND;TZID=Pacific/Honolulu:20240215T023000Z
DTSTAMP:20260917T042019Z
DTSTART;TZID=Pacific/Honolulu:20240215T013000Z
LAST-MODIFIED:20260917T042019Z
LOCATION:Marine Science Building 100
PRIORITY:5
SEQUENCE:0
SUMMARY;LANGUAGE=en-us:WVNet: A SAR Foundational Model with Applications for Air-sea Interaction
TRANSP:OPAQUE
UID:178965481942227web-support-l@lists.hawaii.edu
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