This data contains results of the mesoscale transport and stream model METRAS (Schlünzen et al., 2018) for 43 winter situations described in detail in Boettcher et al. (in prep.). Combined they characterise the Hamburg urban winter climate based on statistical-dynamical downscaling (Boettcher et al., in prep.). They are used as reference climate for quantifying the impact of climate adaptation measures. The situation selection is based on analysed in-situ data for years 1981 to 2010 (Boettcher et al., in prep.). The data include wind speed, wind direction, wind components, real air temperature, relative humidity, total air pressure and total air density at lowest model level (about 10 m above ground). A non-uniform grid is used. The data cover an area of approximately 240 x 240 km² with a horizontal spatial solution of 6000 m at the lateral boundaries and down to 250 m resolution in the inner domain. Forcing data are ECMWF analysis data at lateral and upper model boundaries. Each situation covers 3 days of model time. Data have a resolution of 30 minutes.
Boettcher, Marita; Flagg, David D.; Grawe, David; Hoffmann, Peter; Schoetter, Robert; Petrik, Ronny; Schlünzen, K. Heinke (2024). Hamburg urban winter climate data on 250 m resolution (Version 1.0). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/METRAS_1981-2010_winter_v1
Number of checked netCDF files: 43 Mandatory ATMODAT Standard checks passed: 172/172 (0 missing, 0 error(s)) Recommended ATMODAT Standard checks passed: 688/860 (172 missing, 0 error(s)) Optional ATMODAT Standard checks passed: 258/387 (129 missing, 0 error(s)) CF checker errors: 0 (Ignoring errors related to the leading underscore in the attribute _CoordinateAxisType, which, according to CF convention section on Naming Conventions, is not recommended but also not prohibited.) CF checker warnings: 1247
Method
ATMODAT Standard Compliance Checker Version: 1.3.2
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2024-09-27
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, time steps are correct and the time coordinate is continuous: 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