This is an atmospheric hourly hindcast for the German Bight using COSMO-CLM version 5.00_clm2 from 1948-August 2015 (http://www.cosmo-model.org/content/model/documentation/core/default.htm). The model uses a rotated grid with 250 x 180 grid points and a grid point distance of 0.025 degrees, the rotated North pole is located at 172.97 W, 34.925 N. The forcing is coastDat2 doi:10.1594/WDCC/coastDat-2_COSMO-CLM .
In rotated coordinates the model area extends from 2.25 W to 2.25 E, 3.125 S to 3.125 N, in geographical coordinates this corresponds to about 1.3 E to 12.8 E, 52.7 N to 57.3 N.
COSMO-CLM version 5.00_clm2 from 1948-August 2015 : model details are described in https://www.clm-community.eu/
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Description
COSMO-CLM version 5.00_clm2 from 1948-August 2015 : model details are described in https://www.clm-community.eu/ Forcing: coastDat2 doi:10.1594/WDCC/coastDat-2_COSMO-CLM .
Resolusion and structure: the model uses a rotated grid with 250 x 180 grid points and a grid point distance of 0.025 degrees, the rotated North pole is located at 172.97 W, 34.925 N. In rotated coordinates the model area extends from 2.25 W to 2.25 E, 3.125 S to 3.125 N, in geographical coordinates this corresponds to about 1.3 E to 12.8 E, 52.7 N to 57.3 N.
The data quality has been validated in terms of surface wind speed, wind direction, sea level pressure, precipitation and cloud cover for ten storm events. For further details, the users can refer to publication of Schaaf et al. (2018).
However, the quality of other variables such as temperature has not been validated. Additionally, the model results cannot be interpreted as point related exact values: Instead, they represent mean values in space and time with the model resolution (grid spacing and time step). In terms of use of spectral nudging for the simulation the data were analyzed by Schaaf et al. (2017).
FAIR
F-UJI result: total 66 %
Description
Summary: Findable: 6 of 7 level; Accessible: 2 of 3 level; Interoperable: 3 of 4 level; Reusable: 5 of 10 level
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2018-06-07
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 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] DOISchaaf, Benjamin; Feser, Frauke. (2018). Is there added value of convection-permitting regional climate model simulations for storms over the German Bight and Northern Germany?. doi:10.26491/mhwm/85507
[2] DOISchaaf, Benjamin; von Storch, Hans; Feser, Frauke. (2017). Does Spectral Nudging Have an Effect on Dynamical Downscaling Applied in Small Regional Model Domains?. doi:10.1175/MWR-D-17-0087.1