Articles | Volume 19, issue 11
https://doi.org/10.5194/gmd-19-4885-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-4885-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
11 Jun 2026
Development and technical paper |
| 11 Jun 2026
| 11 Jun 2026
A method for assessing model extensions: application to modelling winter precipitation with a microscale obstacle-resolving meteorological model (MITRAS v3.3)
Karolin S. Samsel
CORRESPONDING AUTHOR
Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Chilehaus, Fischertwiete 1, 20095 Hamburg, Germany
University of Hamburg, Meteorological Institute, Earth and Society Research Hub (ESRAH), Bundesstr. 55, 20146 Hamburg, Germany
Marita Boettcher
University of Hamburg, Meteorological Institute, Earth and Society Research Hub (ESRAH), Bundesstr. 55, 20146 Hamburg, Germany
David Grawe
University of Hamburg, Meteorological Institute, Earth and Society Research Hub (ESRAH), Bundesstr. 55, 20146 Hamburg, Germany
K. Heinke Schlünzen
University of Hamburg, Meteorological Institute, Earth and Society Research Hub (ESRAH), Bundesstr. 55, 20146 Hamburg, Germany
Kevin Sieck
Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Chilehaus, Fischertwiete 1, 20095 Hamburg, Germany
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Short summary
A microscale, obstacle-resolving meteorological model has been extended with a snow cover and precipitation scheme making it the first model of its kind that includes rain and snow. The model allows first estimates on the influence of different city characteristics on precipitation heterogeneities. The performance of the model extension is assessed by comparing the results of different model versions. For the comparisons, threshold values were derived based on computational accuracy.
A microscale, obstacle-resolving meteorological model has been extended with a snow cover and...
