I 2017 tok forskere opp en elleve meter lang sedimentkjerne fra Vangsvatnet på Voss. Kjernen avslører 8000 år med flomhistorie i vestlandsbygden

Abstract Katabatic storms in southeastern Greenland are fierce, density-driven downslope wind events that influence both local weather and downstream climate. We assess their representation across three generations of ECMWF global reanalyses (ERA5, ERA-Interim, and ERA40) and a hierarchy of Community Earth System Model version 2 (CESM2) simulations at different horizontal resolutions, using in situ observations and the 2.5-km Copernicus Arctic Regional Reanalysis (CARRA) as benchmarks. The global reanalyses systematically underestimate wind speeds by approximately 30% in ERA5 and 50% in ERA-Interim and ERA40, while failing to capture key storm structures. Similar biases occur in CESM2 simulations at standard 1–2° resolutions. In contrast, variable-resolution CESM2 configurations with local grid refinement to 0.25° and 0.125° better resolve Greenland's topography and substantially improve the representation of storm intensity and structure. Sensitivity experiments further demonstrate that resolving the steep ice-sheet margins is critical for capturing katabatic acceleration. The reanalysis data also reveal that these storms generate fast-moving, high-amplitude ocean wave packets that propagate as far downstream as Scandinavia and the British Isles. Accurately representing these storms in global models and reanalyses is therefore essential for simulating North Atlantic climate variability beyond Greenland's immediate coastal region. Speaker information Marcus Lofverstrom is an associate professor in the Department of Geosciences at the University of Arizona. His research group conducts novel research in the fields of atmospheric dynamics, (paleo-)climatology, and glaciology to understand the evolution of the climate system over multi-millennial time scales. Numerical modeling is an important component of his research program, and the group is utilizing models over a broad range of complexities: from conceptual and linear steady-state models to fully coupled state-of-the-art Earth-system models.