Abstract. The DANish regional atmospheric ReAnalysis (DANRA) is a novel high-resolution (2.5 km) reanalysis dataset covering Denmark and its surrounding regions over a 34-year period (1990–2023). Denmark's complex coastline, with over 400 islands and an extensive 7400 km coastline, means that most municipalities experience mixed land-sea variability. This complexity requires a regional climate reanalysis system that can resolve fine-scale coastal and inland features, as well as their impact on climate variability. DANRA is based on the HARMONIE-AROME Numerical Weather Prediction (NWP) model and assimilates a comprehensive set of observations, with a particular focus on Denmark. Compared to global reanalyses such as the European Centre for Medium-range Weather Forecast (ECMWF) Reanalysis v5 (ERA5), DANRA demonstrates superior performance in representing essential climate variables, including near-surface weather parameters during both extreme and ordinary conditions. We illustrate these improvements in the representation of several extreme weather cases over Denmark, such as the December 1999 hurricane-force storm, the July 2022 national temperature record, and the August 2007 cloudburst in South Jutland. DANRA is made to support climate adaptation, impact modelling, and the training of next-generation data-driven atmospheric forecasting models. DANRA is distributed as Zarr dataset freely accessible from an object store (https://doi.org/10.5281/zenodo.17294179, Yang et al., 2025), maximizing its usability for climate adaptation, impact modelling, and data-driven research.
Yang et al. (Thu,) studied this question.
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