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This research aims to develop and assess a new model for predicting surface-based temperature inversions, enhancing permafrost stability analysis.

DReaMIT: a dynamical reanalysis framework for modelling surface-based temperature inversions in cold environments

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Randomized trial develops a new model predicting temperature inversions in cold environments, suggesting improved climate assessments.

This research aims to develop and assess a new model for predicting surface-based temperature inversions, enhancing permafrost stability analysis.
Developed a new surface-based inversion model, DReaMIT, using hypsometric position for inversion strength.
Evaluated the model's performance across two Yukon valleys (WS01 and WS02) and various regions in Yukon and Northwest Territories.
Assessed model effectiveness in replicating inversion structures, particularly in areas with weak or transient inversions.
The model improved transferability across valleys and reduced site-specific bias in inversion predictions.
Successfully reproduced inversion structure in regions like Whitehorse and Haines Junction, even with transient SBIs.
Identified limitations in flat regions, indicating a need for microtopographic indices to predict cold-air pooling potential.

Pozsgay et al. (2026) studied this question.

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