This dataset contains the results of nine simulations performed for the validation of the snow cover and precipitation scheme used in the microscale, obstacle-resolving model MITRAS v3.0 (Salim et al., 2013; Schluenzen et al., 2018), v3.1 (Ferner et al. 2023), and v3.3 (Samsel et al. 2025, in review). The model domain extends 240 m x 210 m horizontally and includes orography, slanted roofs, obstacle corners and different surface cover classes. The simulations were performed using different model versions, initial temperatures, precipitation and processing modes. The simulations cover 62 minutes model time, starting at 7:30 am model time, with a temporal resolution of 5 seconds or 5 minutes. This dataset contains a selection of output variables, control variables are not included. The file names of the data sets are composed as follows. {temperature}_{intensity}_{model version}_{comment}_{case ID}.nc There are 3 intensities for temperature: low, medium, high Associated values are: T_low = 272 K, T_medium = 280 K, T_high = 288 K Three versions are considered: v3p0 = MITRAS v3.0 (initial version), v3p1 = MITRAS v3.1 (inclusion of warm rain scheme), v3p3 = MITRAS v3.3 (inclusion of winter parameterisation scheme) Special cases are 'noparallel', where the simulation was performed with the parallelisation mode switched off, and 'noprecip', where no precipitation is initialised. Example: T_high_v3p1_Hwr.nc
Samsel, Karolin S.; Boettcher, Marita; Grawe, David; Schlünzen, K. Heinke; Sieck, Kevin (2025). Simulations for assessing model extensions using the obstacle-resolving model MITRAS. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/WINTER_HAM_MitrasModEx
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2025-04-22
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
Description
1. Number of data sets is correct and > 0: passed; 2. Size of every data set is > 0: passed; 3. The data sets and corresponding metadata are accessible: passed; 4. The data sizes are controlled and correct: passed; 5. The spatial-temporal coverage description (metadata) is consistent to the data: passed; 6. The format is correct: passed; 7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
[1] DOIFerner, Karolin S.; Boettcher, Marita; Schlünzen, K. Heinke. (2023). Modelling the heterogeneity of rain in an urban neighbourhood with an obstacle-resolving model. doi:10.1127/metz/2022/1149
Is compiled by
[1] DOISalim, Mohamed H.; Schlünzen, K. Heinke; Grawe, David; Boettcher, Marita; Gierisch, Andrea M. U.; Fock, Björn H. (2018). The microscale obstacle-resolving meteorological model MITRAS v2.0: model theory. doi:10.5194/gmd-11-3427-2018