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DTSTAMP:20250822T115805Z
LOCATION:Campussaal - Plenary Room
DTSTART;TZID=Europe/Stockholm:20250616T102000
DTEND;TZID=Europe/Stockholm:20250616T105000
UID:submissions.pasc-conference.org_PASC25_sess149_pos130@linklings.com
SUMMARY:P13 - Estimation of Calving Law Parameters from Satellite Data
DESCRIPTION:Daniel Abele (German Aerospace Center, Technical University of
  Munich); Achim Basermann (German Aerospace Center); Martin Burger (DESY, 
 University of Hamburg); Hans-Joachim Bungartz (Technical University of Mun
 ich); and Angelika Humbert (Alfred-Wegener-Institut, Helmholtz-Zentrum für
  Polar- und Meeresforschung; University of Bremen)\n\nCapturing the calvin
 g front motion is critical for simulations of ice shelves and tidewater gl
 aciers. Multiple physical processes, including sliding, water pressure and
  failure need to be understood to accurately model the front. Calving is p
 articularly challenging due to its discontinuous nature and modellers requ
 ire more tools to examine it. A common technique for capturing the front i
 n ice simulations is the Level-set method. The front is represented implic
 itly by the zero isoline of a function. The movement of the front is descr
 ibed by a Hamilton-Jacobi PDE where the velocity of the front includes two
  components: the horizontal velocity of the ice sheet and the ablation rat
 e, i.e., the sum of melting and calving rates. We are developing scalable 
 simulation code to solve the Level-set problem and to estimate parameters 
 of calving laws from satellite images using numerical optimization. The me
 thod is adaptable to different types of calving laws as well as other inte
 rface capturing problems and handles temporal sparsity of observations and
  coupling with an ice sheet model. The code is sufficiently scalable for l
 arge scale, high resolution models of continental ice sheets.\n\nSession C
 hair: Chris Cantwell (Imperial College London)\n\n
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