EGU23-6866
https://doi.org/10.5194/egusphere-egu23-6866
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Sub-kilometre resolution climate model data: Added benefits in the representation of extreme precipitation?

Emma Dybro Thomassen1,2,3, Karsten Arnbjerg-Nielsen2, Hjalte J. D. Sørup2, Peter L. Langen4, Jonas Olsson5, Rasmus A. Pedsersen1, and Ole B. Christensen1
Emma Dybro Thomassen et al.
  • 1National Centre for Climate Research, Danish Meteorological Institute, Copenhagen, Denmark
  • 2Department of Environmental and Resource Engineering, Technical University of Denmark, Kgs. Lyngby Denmark
  • 3Flooding and Hydrology, Danish Meteorological Institute, Copenhagen, Denmark
  • 4iClimate, Department of Environmental Science, Aarhus University, Roskilde, Denmark
  • 5Hydrology Research, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden

Climate change impact on extreme precipitation is of great importance to society. Small-scale, short-term events can have massive social and socioeconomic consequences. The present study analyses a new sub-kilometre (750 m) HARMONIE-Climate1 model simulation driven by ERA5 reanalysis data. The new sub-kilometre climate model data (750 m) is compared to NorCP data2 from climate models in 3, 5, and 12 km grid spacing, rain gauge station data and reanalysis data in 31 and 79 km resolution. The study examines a case area covering Denmark for five cloudburst seasons (April – October). The study aims to analyse how convective events are represented in the climate model data across grid resolution, and if an added benefit can be identified moving to sub-kilometre resolution.

Extreme convective events are analysed across datasets with respect to diurnal cycle, intensity levels and spatial structure. This is done at both hourly and sub-hourly scales. The 750 m climate model performs better for most metrics. However, climate models with 3 and 5 km grid spacing also perform well. The added computational and storage cost of the sub-kilometre scale experiments, thus only results in limited added benefit for this specific model set-up. Analysing hourly and sub-hourly temporal scales shows that the model performance varies between different temporal scales. The convection-permitting models, in general, represent hourly extremes much better than sub-hourly extremes. The sub-hourly scale is, therefore, essential to analyse to assess the model performance of convective events.

1 Belušić D, De Vries H, Dobler A, Landgren O, Lind P, Lindstedt D, Pedersen RA, Carlos Sánchez-Perrino J, Toivonen E, Van Ulft B, et al (2020) HCLIM38: A flexible regional climate model applicable for different climate zones from coarse to convection-permitting scales. Geosci Model Dev 13:1311–1333. https://doi.org/10.5194/gmd-13-1311-2020

2 Lind P, Lindstedt D, Kjellström E, Jones C (2016) Spatial and Temporal Characteristics of Summer Precipitation over Central Europe in a Suite of High-Resolution Climate Models. J Clim 29:3501–3518. https://doi.org/10.1175/JCLI-D-15-0463.1

How to cite: Dybro Thomassen, E., Arnbjerg-Nielsen, K., J. D. Sørup, H., L. Langen, P., Olsson, J., A. Pedsersen, R., and B. Christensen, O.: Sub-kilometre resolution climate model data: Added benefits in the representation of extreme precipitation?, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-6866, https://doi.org/10.5194/egusphere-egu23-6866, 2023.