Recent studies show widespread warming of permafrost and indicate that the Arctic has warmed up to four times faster than the global average. Increasing temperatures initiate a wide range of landscape and environmental changes, including vegetation changes, changing hydrological and fire regimes, as well as abrupt and gradual permafrost thaw. Interdisciplinary efforts are needed to further investigate developments in Arctic, boreal, and high-latitude permafrost regions and to better understand the processes and impacts of ongoing changes.
This session is intended as a forum for scientists involved in state-of-the-art research on permafrost disturbance dynamics, associated processes, and impacts. We welcome contributions concerning studies on different scales, from local studies including, but not limited, to field observations, near-surface geophysics, and drone measurements, to regional and circumpolar analyses supported by modelling approaches and remote sensing techniques. We encourage submissions targeted at dynamic permafrost disturbance processes and their feedback to climate across Arctic-boreal, high-mountain, and coastal regions, including, e.g., thermokarst, coastal erosion, anthropogenic impacts, hydrology, mass movements, sediment fluxes, and biogeochemical cycling and associated fluxes.
This session seeks abstracts on (1) novel observations of permafrost disturbance-related phenomena; (2) the impact of permafrost changes on the natural and human environment; and (3) advances and new developments in the measurement, modelling, parametrization, and understanding of permafrost-related processes.
We particularly encourage contributions that (a) identify novel processes related to permafrost disturbances and environmental changes in permafrost regions; (b) present novel measurement and monitoring approaches; (c) outline new strategies to improve process understanding; (d) come from or interface with neighbouring fields of science or apply innovative technologies and methods; (e) investigate model validation, model uncertainty, and scaling issues; and (f) land surface models of diverse processes or scales.