This experiment contains the model output of a simulation by the microscale obstacle resolving model MITRAS (Salim et al., 2018; Schluenzen et al., 2018, model version MITRAS ver2 rev471a5b5). MITRAS can resolve small scale atmospheric processes in urban areas and is maintained by the MEMI working group of the University of Hamburg (https://www.mi.uni-hamburg.de/en/arbeitsgruppen/memi/).

The aim of this simulation was to create an obstacle resolving model (ORM) dataset to test the suitability of the newly established ATMODAT standard (Ganske et al., 2021) in standardising ORM results, as a part of the AtMoDat project (https://www.atmodat.de/).

The simulation results show the distribution of passive tracer and wind field within the city center of Hamburg, Germany.

Emitted tracer represent particulate matter (pm10), emitted from green spaces in the city center. Only dynamical effects are calculated in this simulation. The model domain covers an area of 2000x2000x8000 m, using a non-equidistant, cartesian grid with an spatial resolution of 2.5 m in horizontal and 5 m in vertical direction with increasing grid cell size towards the model boundaries. Information about the location and height of the obstacles are provided within the dataset. The model domain is based on the study of Hefny Salim et al., (2015).

The simulation covers one hour model time, starting at 4 am model time, with a temporal resolution of 5 minutes. This dataset contains a selection of output variables; control variables are not included.

Model Settings: passive tracer emission; no diurnal cycle; stable stratification; low wind speed (u,v = 3 m/s, 0 m/s).

This dataset has been standardized according to the ATMODAT Standard (v3.0) (Ganske et al., 2021). The AtMoDat project was funded in the framework of \"Forschungsvorhaben zur Entwicklung und Erprobung von Kurationskriterien und Qualitaetsstandards von Forschungsdaten\" by the German Federal Ministry of Education and Research (BMBF; FKZ: 16QK02C). This data was prepared in the project AtMoDat and acts as an example dataset for standardisation of microscale model data using the ATMODAT standard.