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UID:367@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20260513T163000
DTEND;TZID=America/Los_Angeles:20260513T172000
DTSTAMP:20260505T185308Z
URL:https://escience.washington.edu/events/uw-data-science-seminar-eric-ga
 gliano/
SUMMARY:UW Data Science Seminar: Eric Gagliano
DESCRIPTION:Please join us for a UW Data Science Seminar featuring  UW Civ
 il &amp\; Environmental Engineering Postdoctoral Scholar Eric Gagliano on 
 Wednesday\, May 13th from 4:30 to 5:20 p.m. PT. The seminar will be held i
 n IEB G109.\n"Global snowmelt timing insights from over 100 TB of satellit
 e imagery and best practices for large-scale geospatial cloud workflows"\n
 Abstract: Mountain snowmelt is a critical source of freshwater for over on
 e billion people globally\, yet the large variability in snowmelt timing a
 cross Earth's diverse mountain regions remains poorly understood due to ob
 servational constraints. To address this gap\, we processed over 100 TB of
  satellite radar imagery to produce the first global\, high-resolution rec
 ord of snowmelt runoff onset timing. In this talk\, we'll talk through the
  creation of this record and share lessons learned and best practices for 
 building large community geospatial datasets. Applied across 150 major mou
 ntain ranges\, this dataset enables the first comprehensive global analysi
 s of snowmelt timing and its physical controls at high spatial resolution.
  Results illuminate the influence of topography and climate on snowmelt ti
 ming\, the capacity of synoptic weather events to shift snowmelt by up to 
 a month across entire regions\, and the sensitivity of snowmelt timing to 
 spring air temperatures across diverse mountain environments. As warming c
 ontinues\, understanding these heterogeneous snowmelt timing responses wil
 l be essential for anticipating where mountain water resources face the gr
 eatest vulnerability.\n\nSpeaker Bio: Eric Gagliano is a Postdoctoral Scho
 lar in the Department of Civil &amp\; Environmental Engineering at the Uni
 versity of Washington. His research focuses on understanding when and wher
 e mountain snowmelt occurs using satellite radar remote sensing and large-
 scale cloud computing\, with applications for water resource management in
  snow-dominated regions. He completed his Ph.D. in Civil Engineering at UW
  in 2025 and his B.Sc. in Computational Engineering at The University of T
 exas at Austin in 2020. Alongside his research\, he develops and maintains
  open-source Python tools to make snow-related geospatial datasets more ac
 cessible to the broader community.\n\n\nThe 2025-2026 seminars will be hel
 d in person\, and are free and open to the public.\n\n
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