coastDat historical severe storm tides in the German Bight

doi:10.26050/WDCC/CoastdatStormTides

Meyer, Elke M. I.

ExperimentDOI
Summary
The hydrodynamic model Trim-NP (2.6) was used to get an impression of the spatial distribution of water levels at the coast during historical severe storm tides. For these events, the atmospheric reanalysis products from the Twentieth Century Reanalysis project (20CR), (Compo et al., 2011; Slivinski et al., 2019) and from the ECMWF (ERA5 and UERRA-HARMONIE) (Hersbach et al., 2018, Copernicus Climate Change Service, 2019) are used to force the model. Additionally, the German weather service (DWD) developed reanalysis data for storm surge events for the project OptempS-MohoWif (Kristandt et al., 2014). These reanalysis data are calculated three days before the event and two days after. Based on the comparison between tide gauge observations and model output, we can estimate, the skill of the reanalyses in simulating severe storms. All model runs are forced by finite element solutions tidal atlases FES2004 at the lateral boundaries (Lyard et al., 2006). Further information about the reanalyses:
https://psl.noaa.gov/data/20thC_Rean/
https://www.ecmwf.int/en/research/climate-reanalysis/reanalysis-climate-monitoring
https://www.ecmwf.int/en/forecasts/dataset/uncertainties-ensembles-regional-reanalysis
Copernicus Climate Change Service, Climate Data Store, (2019): Complete UERRA regional reanalysis for Europe from 1961 to 2019. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: 10.24381/cds.dd7c6d66 (Accessed on 01-APR-2023)

The file name of the data sets is composed as follows.
trim_<grid>.<variable>.<forcing>_<year>_<run>.nc

grid: 2 ( 6.4 km resolution) and 4 (1.6km resolution)
variables: u10(x_wind), v10(y_wind) und e(sea_surface_height_above_sea_level)
forcing: 20CR versions(v2c und v3) and (UERRA, ERA5) for ECMWF and OptemptS
Year: 1825, 1949, 1953, 1962, 1967, 1976, 1999, 2013
run: only used for the 20CR project with 56 (v2c) and 80 (v3) ensemble members

Depending on whether the forcing data was available, data are generated.
Newer Version(s)
doi:10.26050/WDCC/CoastdatStormTides1825v2
Project
coastDat_Storm_Tides (coastDat Storm Tides (German Coast))
Contact
Dr. Elke M. I. Meyer (
 elke.meyer@nullhereon.de
0000-0002-4874-4821)
Spatial Coverage
Longitude 1.7 to 10 Latitude 51 to 55.8
Temporal Coverage
1825-02-01 to 2013-12-31
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
619.62 GiB (665308814056 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2033-05-04
Cite as
Meyer, Elke M. I. (2023). coastDat historical severe storm tides in the German Bight. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/CoastdatStormTides

BibTeX RIS
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 v2.2.5 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
2023-06-09
Result Date
2023-06-09
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
Method Url
Result Date
2023-06-09
Contact typePersonORCIDOrganization

Is previous version of

[1] DOI Meyer, Elke M. I. (2023). coastDat historical severe storm tides in the German Bight Year 1825 (Version 2). doi:10.26050/WDCC/CoastdatStormTides1825v2

Is documented by

[1] DOI Compo, G. P.; Whitaker, J. S.; Sardeshmukh, P. D.; Matsui, N.; Allan, R. J.; Yin, X.; Gleason, B. E.; Vose, R. S.; Rutledge, G.; Bessemoulin, P.; Brönnimann, S.; Brunet, M.; Crouthamel, R. I.; Grant, A. N.; Groisman, P. Y.; Jones, P. D.; Kruk, M. C.; Kruger, A. C.; Marshall, G. J.; Maugeri, M.; Mok, H. Y.; Nordli, Ø.; Ross, T. F.; Trigo, R. M.; Wang, X. L.; Woodruff, S. D.; Worley, S. J. (2011). The Twentieth Century Reanalysis Project. doi:10.1002/qj.776
[2] DOI Slivinski, Laura C.; Compo, Gilbert P.; Whitaker, Jeffrey S.; Sardeshmukh, Prashant D.; Giese, Benjamin S.; McColl, Chesley; Allan, Rob; Yin, Xungang; Vose, Russell; Titchner, Holly; Kennedy, John; Spencer, Lawrence J.; Ashcroft, Linden; Brönnimann, Stefan; Brunet, Manola; Camuffo, Dario; Cornes, Richard; Cram, Thomas A.; Crouthamel, Richard; Domínguez‐Castro, Fernando; Freeman, J. Eric; Gergis, Joëlle; Hawkins, Ed; Jones, Philip D.; Jourdain, Sylvie; Kaplan, Alexey; Kubota, Hisayuki; Blancq, Frank Le; Lee, Tsz‐Cheung; Lorrey, Andrew; Luterbacher, Jürg; Maugeri, Maurizio; Mock, Cary J.; Moore, G.W. Kent; Przybylak, Rajmund; Pudmenzky, Christa; Reason, Chris; Slonosky, Victoria C.; Smith, Catherine A.; Tinz, Birger; Trewin, Blair; Valente, Maria Antónia; Wang, Xiaolan L.; Wilkinson, Clive; Wood, Kevin; Wyszyński, Przemysław. (2019). Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system. doi:10.1002/qj.3598
[3] DOI Hersbach, H.; Bell, B.; Berrisford, P.; Biavati, G.; Horányi, A.; Muñoz Sabater, J.; Nicolas, J.; Peubey, C.; Radu, R.; Rozum, I.; Schepers, D.; Simmons, A.; Soci, C.; Dee, D.; Thépaut, J-N. (2018). ERA5 hourly data on single levels from 1940 to present. doi:10.24381/cds.adbb2d47
[4] DOI Copernicus Climate Change Service, Climate Data Store. (2019). Complete UERRA regional reanalysis for Europe from 1961 to 2019. doi:10.24381/cds.dd7c6d66
[5] Kristandt,J.; Brecht,B.; Frank, H.; Knaack, H. (2014). Optimization of Empirical Storm Surge Forecast - Modelling of High Resolution Wind Fields.
[6] DOI Lyard, Florent; Lefevre, Fabien; Letellier, Thierry; Francis, Olivier. (2006). Modelling the global ocean tides: modern insights from FES2004. doi:10.1007/s10236-006-0086-x

Attached Datasets ( 9 )

Details for selected entry
[Entry acronym: CoastdatStormTides] [Entry id: 3970931]