GlacierMIP Activities/Experiments
Future phases (2023-) In the future GlacierMIP may conduct further coordinated and standardized experiments and projections including for example: Modeling glacier change of roughly the last 100 years Detection &…
Glacier Model Intercomparison Project
Background and motivation Currently, glaciers (here defined as all glaciers other than the ice sheets) contribute approximately just as much to global sea level as the Antarctic and Greenland ice…
Sea-ice dynamics, in particular analysis of velocity fields, strain variance and maximum shear strength
Bruno Tremblay (bruno.tremblay[@]mcgill.ca) 1- We are about to publish a paper on the Maxwell Elasto Brittle (MEB) rheology and show how the way the stress are brought back onto the…
Machine learning methods for sea ice analysis, prediction and projection
Neven Fučkar (neven.fuckar[at]ouce.ox.ac.uk)The scientific questions that will be studied: - Detection and classification (supervised and unsupervised) of anomalies in observed, reconstructed and modelled sea ice variables.- Comparison of machine…
Agenda for the Arctic Sea Ice Prediction Stakeholders Workshop
15:00 - 17:00 Overview (2 hours): 15:00 - 15:05 Julienne Stroeve (UCL) - Introduction to workshop (objectives and agenda) 15:05 - 15:10 Uma Bhatt (Univ. Alaska): Sea Ice…
Arctic Sea Ice Stakeholders Registration
Registration for this workshop is closed.
Arctic Sea Ice Prediction Stakeholders Workshop
Date: January 22, 2018Venue: The Arctic Frontiers Conference (http://www.arcticfrontiers.com/), Radisson Blue Hotel, Tromsø, NorwayLink to the side-event on the Arctic Frontiers website: http://www.arcticfrontiers.com/program/session/?id=ASE002 Registration for the workshop is closed. Background…
Quantifying the influence of sea ice internal variability in CMIP5 models
Dirk Olonscheck (dirk.olonscheck[@]mpimet.mpg.de)1) Changes in internal variability under global warming (completed) Scientific questions:1. How much does the manifestation of sea ice internal variability differ for global climate models?2. How do…
Use large ensembles to quantify the limitations of using short observational sea ice timeseries
Alexandra Jahn, CU Boulder, USA The scientific questions that will be studied:How can we use short observational sea ice timeseries, such as ice thickness from satellites, for model evaluation, while…