Articles | Volume 18, issue 3
https://doi.org/10.5194/essd-18-2251-2026
https://doi.org/10.5194/essd-18-2251-2026
Data description article
 | 
26 Mar 2026
Data description article |  | 26 Mar 2026

DANRA: the kilometer-scale Danish regional atmospheric reanalysis

Xiaohua Yang, Carlos Peralta, Bjarne Amstrup, Kasper Stener Hintz, Søren Borg Thorsen, Leif Denby, Simon Kamuk Christiansen, Hauke Schulz, Sebastian Pelt, and Mathias Schreiner

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Cited articles

Bengtsson, L., Andrae, U., Aspelien, T., Batrak, Y., Calvo, J., de Rooy, W., Gleeson, E., Sass, B. H., Homleid, M., Hortal, M., Ivarsson, K.-I., Lenderink, G., Niemelä, S., Nielsen, K. P., Onvlee, J., Rontu, L., Samuelsson, P., Santos Muñoz, D., Subias, A., Tijm, S., Toll, V., Yang, X., and Køltzow, M. O.: The HARMONIE-AROME model configuration in the ALADIN-HIRLAM NWP system, Mon. Weather Rev., https://doi.org/10.1175/MWR-D-16-0417.1, 2017. a, b
Carver, R. W. and Merose, A.: ARCO-ERA5: An Analysis-Ready Cloud-Optimized Reanalysis Dataset, in: 22nd Conference on AI for Environmental Science, American Meteorological Society, Denver, CO, https://ams.confex.com/ams/103ANNUAL/meetingapp.cgi/Paper/415842 (last access: 2 February 2026), 2023. a
Davis, E., Taylor, K. E., Adloff, F., Gregory, J., Lawrence, B., and Lee, D.: Supporting Open Science with the CF Metadata Conventions for NetCDF, Zenodo, https://doi.org/10.5281/zenodo.15015065, 2024. a
Denby, L.: DANRA reanalysis verification plots, arXiv [data set], https://doi.org/10.5281/zenodo.18954176, 2026. a, b
EUMETSAT ROM SAF: Validation Report for the ROM SAF Interim Climate Data Record (ICDR) v1.1, Tech. Rep. ROM-SAF-VR-ICDRv1.1, EUMETSAT Radio Occultation Meteorology Satellite Application Facility (ROM SAF), version 1.1, describing Level 1B bending angle and Level 2-3 products, https://rom-saf.eumetsat.int/product_documents/romsaf_vr_icdr_v11.pdf (last access: 2 February 2026), 2020. a
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Over three decades of Danish weather have been recreated in unprecedented detail through the Danish Regional Atmospheric Reanalysis (DANRA). Using advanced computer models and millions of observations, the project maps Denmark’s weather and climate at 2.5-kilometre resolution. The results reveal more accurate local patterns and extreme events than global datasets, supporting better planning, climate adaptation and energy applications.
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