ClimEx Hydro-SMILE Bavaria: peak-over-threshold precipitation and corresponding flood events

Authors:

Florian Willkofer Raul R Wood Manuela Brunner Ralf Ludwig

Owners:

Raul R Wood

Type:

Resource

Storage:

The size of this resource is 101.2 MB

Created:

Jul 20, 2021 at 7:54 a.m.

Last updated:

Jul 22, 2021 at 8 a.m. (Metadata update)

Published date:

Jul 22, 2021 at 8 a.m.

DOI:

10.4211/hs.945d7b4f61d145d789eb090f0bf51cb5

Citation:

See how to cite this resource

Content types:

Geographic Feature Content

Sharing Status:	Published
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Abstract

This dataset provides extreme precipitation and corresponding high flow events for 78 catchments in Bavaria for the period 1961-2099. Hydrological simulations were obtained by driving the hydrological model WaSiM with the CRCM5-LE, a regional Single climate Model Initial-Condition Large Ensemble (SMILE). The underlying simulations were originally generated by Willkofer et al. 2020 as part of the ClimEx project (www.climex-project.org, Leduc et al. 2019). Using the daily streamflow simulations from the 50 members of the hydro-SMILE, we identifed pairs of extreme precipitation (i.e. areal sum over catchment) and corresponding streamflow. For more details on the hydrological setup see Willkofer et al. 2020 and further information on the simulations and event identification see Brunner et al. 2021.
The hydrological simulations were funded by the Bavarian State Ministry for the Environment and Consumer Protection. Computations of the hydrological simulations for the ClimEx project were made on the SuperMUC supercomputer at the Leibniz Supercomputing Centre (LRZ) of the Bavarian Academy of Sciences and Humanities.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Hydrological Bavaria

North Latitude

50.4485°

East Longitude

13.9466°

South Latitude

46.6095°

West Longitude

9.2005°

Streets Terrain Satelite

Spatial Extent

Leaflet Map data © OpenStreetMap contributors

Content

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Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Web Map Service

https://geoserver.hydroshare.org/geoserver/HS-945d7b4f61d145d789eb090f0bf51cb5/wms?request=GetCapabilities

Web Feature Service

https://geoserver.hydroshare.org/geoserver/HS-945d7b4f61d145d789eb090f0bf51cb5/wfs?request=GetCapabilities

Additional Metadata

Name

Value

Acknowledgements

We thank all members of the ClimEx project working group for their contributions to produce the CRCM5-LE and WaSiM-LE. The production of ClimEx was funded within the ClimEx project by the Bavarian State Ministry forthe Environment and Consumer Protection. The CRCM5 was developed by the ESCER centre of Université du Québec à Montréal (UQAM; www.escer.uqam.ca) in collaboration with Environment and Climate Change Canada. We acknowledge Environment and Climate Change Canada's Canadian Centre for Climate Modelling and Analysis for executing and making available the CanESM2 Large Ensemble simulations used in this study, and the Canadian Sea Ice and Snow Evolution Network for proposing the simulations. Computations with the CRCM5 and WaSiM for the ClimEx project were made on the SuperMUC supercomputer at Leibniz Supercomputing Centre (LRZ) of the Bavarian Academy of Sciences and Humanities. The operation of this supercomputer is funded via the Gauss Centre for Supercomputing (GCS) by the German Federal Ministry of Education and Research and the Bavarian State Ministry of Education, Science and the Arts.

Related Resources

This resource is referenced by	M. Brunner, D. L. Swain, R. R. Wood, F. Willkofer, J. M. Done, E. Gilleland, and R. Ludwig (2021), An extremeness threshold determines the regional response of floods to changes in rainfall extremes, Communications Earth and Environment
The content of this resource is derived from	F. Willkofer, R. R. Wood, F. V. Trentini, J. Weismüller, B. Poschlod, and R. Ludwig (2020), A holistic modelling approach for the estimation of return levels of peak flows in Bavaria, Water, 12, 2349, 10.3390/w12092349
The content of this resource is derived from	M. Leduc, et al. (2019), The ClimEx project: A 50-member ensemble of climate change projections at 12-km resolution over Europe and northeastern North America with the Canadian Regional Climate Model (CRCM5), Journal of Applied Meteorologyand Climatology, 58(4), 663–693, 10.1175/JAMC-D-18-0021.1

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
Bavarian State Ministry for the Environment and Consumer Protection	ClimEx	81-0270-024570/2015

How to Cite

Willkofer, F., R. R. Wood, M. Brunner, R. Ludwig (2021). ClimEx Hydro-SMILE Bavaria: peak-over-threshold precipitation and corresponding flood events, HydroShare, https://doi.org/10.4211/hs.945d7b4f61d145d789eb090f0bf51cb5

This resource is shared under the Creative Commons Attribution-NoCommercial CC BY-NC.

http://creativecommons.org/licenses/by-nc/4.0/

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