EGU2021: CR3.5 Observing and modelling glaciers at regional to global scales
How are glaciers changing in different regions on Earth, and how will they change in the future? What new methods are available to study, observe and model glaciers at regional and global scales?
The EGU session "Observing and modelling glaciers at regional to global scales" will provide answers! After a successful kick-off in 2020, the session is reconducted this year for lively exchange and fruitful discussions!
This is our first and last call on CRYOLIST for this session. The deadline (January 13th) is coming near!
We are looking forward to your submissions!
Fabien Maussion, Inès Dussaillant, Daniel Farinotti, Harry Zekollari
CR3.5 Observing and modelling glaciers at regional to global scales
The increasing availability of remotely sensed observations and computational capacity, drive modelling and observational glacier studies towards increasingly large spatial scales. These large scales are of particular relevance, as they impact policy decisions and public discourse. In the European Alps, for instance, glacier changes are important from a touristic perspective, while in High Mountain Asia, glaciers are a key in the region’s hydrological cycle. At a global scale, glaciers are among the most important contributors to present-day sea level change.
This session focuses on advances in observing and modelling mountain glaciers and ice caps at the regional to global scale. We invite both observation- and modelling-based contributions that lead to a more complete understanding of glacier changes and dynamics at such scales.
Contributions may include, but are not limited to, the following topics: • Observation and modelling results revealing previously unappreciated regional differences in glacier changes or in their dynamics; • Large-scale impact studies, including glaciers' contribution to sea level change, or changes in water availability from glacierized regions; • Advances in regional- to global-scale glacier models, e.g. inclusion of physical processes such as ice dynamics, debris-cover effects, glacier calving, or glacier surging; • Regional to global scale process-studies, based on remote sensing observations or meta-analyses of ground-based data; • Innovative combinations of observation and modelling techniques, for example blending different remote sensing products, or integrating machine learning algorithms; • Inverse modelling of subglacial characteristics or glacier ice thickness at regional scales.