coastDat_COSMO-CLM German Bight 0028

doi:10.1594/WDCC/coastDat_COSMO-CLM_GB0028

Schaaf, Benjamin

ExperimentDOI
Summary
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.
Project
coastDat (coastDat)
Contact
Benjamin Schaaf (
 benjamin.schaaf@nullhzg.de
)
Location(s)
North Sea Germann Bight
Spatial Coverage
Longitude 1.3 to 12.8 Latitude 52.7 to 57.3 Altitude: -11.5 m to 22700 m
Temporal Coverage
1948-01-01 to 2015-08-31 (calendrical)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
7.33 TiB (8063521730548 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2027-11-18
Cite as
Schaaf, Benjamin (2018). coastDat_COSMO-CLM German Bight 0028. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/coastDat_COSMO-CLM_GB0028

BibTeX RIS
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).
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 v2.2.1 automated
Method Description
Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.4081213 Metric Version: metrics_v0.5
Method Url
Result Date
2022-12-06
Result Date
2018-06-07
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
Method Url
Result Date
2018-06-07
Contact typePersonORCIDOrganization
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Cites

[1] DOI Geyer, Beate; Rockel, Burkhardt. (2013). coastDat-2 COSMO-CLM Atmospheric Reconstruction. doi:10.1594/WDCC/coastDat-2_COSMO-CLM

Is documented by

[1] DOI Schaaf, 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] DOI Schaaf, 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

Attached Datasets ( 27 )

Details for selected entry

Parent project(s)

coastDat

[Entry acronym: coastDat_COSMO-CLM_GB0028] [Entry id: 3580496]