Victor Pozsgay will be presenting A model of temperature inversions to correct bias in reanalysis data.
Date: 14 May 2025
Time: 13:00-14:00 Eastern Time
Location: Zoom (details are posted in our Teams site).
The magnitude and frequency of slope failures in permafrost zones have increased in recent decades. Permafrost warming and thawing represent major contributing factors to large slope failures, which have the potential to damage infrastructure and pose a risk to human life and surrounding ecosystems.
I will present a simulation workflow to generate ensemble simulations of the ground thermal regime at any point globally. The model is driven by reanalysis data, which are known to poorly represent temperature inversions. Hence, I will focus on modelling temperature inversions in sub-arctic valleys where cold-air pooling is particularly intense in cold months. This framework allows for consistent and efficient production and analysis of mountain permafrost simulations in relation to slope failures. However, its main strength and appeal lie in its ability to be used globally and for a large number of sites, efficiently.
