Project: Hamburg urban climate data on 250 m resolution with METRAS - In this project, the impact of selected climate adaptation measures on the climate of the metropolitan region of Hamburg is quantified. The impact of different climate adaptation measures like green roofs, increased albedo of structures such as roofs, streets and parking areas, and changes in building density is considered, with an investigation of their effects on meteorological variables. Three socio-economic scenarios are considered. The third scenario shows the highest impact on the urban summer climate and is investigated for the winter months as well to complete the assessment. This project contains results of the mesoscale transport and stream model METRAS (Schlünzen et al., 2018) for 20 summer and 43 winter situations described in detail in Boettcher et al. (in prep.). They characterise the Hamburg urban summer and winter climate based on statistical-dynamical downscaling (Boettcher et al., in prep.). The situation selection is based on analysed in-situ data for years 1981 to 2010 (Boettcher et al., in prep.). The model data cover Hamburg with a spatial resolution of 250 m in horizontal. 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. This work was supported by the project KLIMZUG-NORD, funded under grant 01LR0805D by the German Federal Ministry of Education and Research, by the Cluster of Excellence 'CliSAP' (EXC177), University of Hamburg, funded through the German Science Foundation (DFG) and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany‘s Excellence Strategy – EXC 2037 'CLICCS - Climate, Climatic Change, and Society' – Project Number: 390683824, contribution to the Center for Earth System Research and Sustainability (CEN) of Universität Hamburg. Summary: 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.
