BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Geophysics Seminar - Gwenn Flowers\, "Accelerating subglacial 
 drainage modeling with statistical emulators"
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260608T085936Z
UID:tag:localist.com\,2008:EventInstance_52488837220187
DTSTART:20260430T190000Z
DTEND:20260430T200000Z
DESCRIPTION:Water flow under ice exerts a fundamental control on glacier an
 d ice-sheet dynamics\, with direct consequences for the pace of global sea
 -level rise and the frequency and severity of glaciological hazards. Despi
 te its importance\, progress in modeling the subglacial drainage system ha
 s been limited by challenges in upscaling the governing physics\, the comp
 utational cost of resolving processes that operate across vastly different
  timescales\, and to some extent\, the persistent scarcity of direct obser
 vations. This seminar will sketch the development of physically based subg
 lacial drainage models and describe how statistical emulators are being us
 ed to accelerate large-scale predictions of subglacial hydrological variab
 les. We will reflect on the current state of the field and highlight the m
 odel deficiencies most in need of attention\n\nReading(s):\n\nFor those in
 terested in a general introduction to physically-based subglacial drainage
  modelling:\n\nFlowers\, G.E. 2015. Modelling water flow under glaciers an
 d ice sheets. Proceedings of the Royal Society A 471: 20140907\, https://d
 oi.org/10.1098/rspa.2014.0907\n\nFor those interested in subglacial draina
 ge emulation (Gaussian Process model): \n\nHill\, T.\, D. Bingham\, G.E. F
 lowers\, M.J Hoffman. 2025. Computationally efficient subglacial drainage 
 modelling using Gaussian process emulators: GlaDS-GP v1.0\, Geoscientific 
 Model Development\, 18\, 4045–4074\, https://doi.org/10.5194/gmd-18-4045
 -2025.\n\nFor those interested in an application to Antarctic drainage: \n
 \nHill\, T.\, M.J. Hoffman\, G.E. Flowers\, D. Bingham. Submitted. Random 
 Forest parameterization of Antarctic subglacial hydrology for coupled ice-
 flow modelling. The Cryosphere. Preprint: https://doi.org/10.5194/eguspher
 e-2026-343
GEO:37.426402;-122.172635
LOCATION:Mitchell Earth Sciences\, 350/372
SUMMARY:Geophysics Seminar - Gwenn Flowers\, "Accelerating subglacial drain
 age modeling with statistical emulators"
URL;VALUE=URI:https://events.stanford.edu/event/geophysics-seminar-gwenn-fl
 owers-accelerating-subglacial-drainage-modeling-with-statistical-emulators
CATEGORIES:Class/Seminar
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END:VCALENDAR