Simulations for assessing model extensions using the obstacle-resolving model MITRAS

doi:10.26050/WDCC/WINTER_HAM_MitrasModEx

Samsel, Karolin S. et al.

ExperimentDOI
Summary
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
Project
WINTER_HAMBURG (Investigating climate change related impacts on the urban winter climate of Hamburg)
Contact
Dr. David Grawe (
 david.grawe@nulluni-hamburg.de
0000-0003-4961-2000)
Spatial Coverage
Longitude 10. Latitude 53.55 Altitude: 0 level to 49 level
Temporal Coverage
2000-01-21 to 2000-01-21 (Local Solar Time in arbitrary year)
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
1.40 GiB (1503864969 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2035-04-10
Cite as
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

BibTeX RIS
Description
Number of checked netCDF files: 9

Mandatory ATMODAT Standard checks passed: 36/36 (0 missing, 0 error(s))
Recommended ATMODAT Standard checks passed: 135/180 (45 missing, 0 error(s))
Optional ATMODAT Standard checks passed: 63/81 (18 missing, 0 error(s))

CF checker errors: 0
CF checker warnings: 199
Method
ATMODAT Standard Compliance Checker Version: 1.3.2
Method Description
Checking against: ATMODAT Standard 3.0. Metrics documentation: https://doi.org/10.35095/WDCC/atmodat_standard_en_v3_0 and CF Version 1.8
Method Url
Result Date
2025-04-08
Description
Summary:
Findable: 6 of 7 level;
Accessible: 2 of 3 level;
Interoperable: 3 of 4 level;
Reusable: 5 of 10 level
Method
F-UJI online v3.1.0 metrics_v0.5
Method Description
Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.6461229 Metric Version: metrics_v0.5
Method Url
Result Date
2025-06-03
Result Date
2025-04-22
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
Method Url
Result Date
2025-04-15
Contact typePersonORCIDOrganization

Is documented by

[1] DOI Ferner, 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] DOI Salim, 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
[2] Schlünzen, K. Heinke; Boettcher, Marita; Fock, Björn H.; Gierisch, Andrea; Grawe, David; Salim, Mohamed. (2018). Technical Documentation of the Multiscale Model System M-SYS. https://www.mi.uni-hamburg.de/en/arbeitsgruppen/memi/modelle/dokumentation/msys-technical-documentation-20180706.pdf

Attached Datasets ( 1 )

Details for selected entry
[Entry acronym: WINTER_HAM_MitrasModEx] [Entry id: 5285584]