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


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Created: Jul 20, 2021 at 7:54 a.m.
Last updated: Jul 22, 2021 at 8 a.m.
DOI: 10.4211/hs.945d7b4f61d145d789eb090f0bf51cb5
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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

Resource Level 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°

Content

readme.txt

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

Authors: Florian Willkofer, Raul R. Wood, Manuela Brunner, and Ralf Ludwig
Owners: Ralf Ludwig
Last update: 20.07.2021

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.

Dataset components:

(1) Shapefile of 78 catchments in hydrological Bavaria (catchment boundaries): 78_Bavarian_catchments.shp, ID: catchment ID
(2) List of ensemble member names: names_ensemble_members.txt
(3) Extracted peak-over-threshold precipitation events and corresponding flood events for each of the 78 catchments:
File name logic: sim___P_POT_events_and_Q_0.99_window_5_agg_1.txt
Content of each file: 
Date: date of extreme precipitation event (date YYYY-MM-DD); 
start: start of precipitation event (date YYYY-MM-DD); 
end: end of precipitation event (date YYYY-MM-DD);
duration: duration of precipitation event (days);
volume: volume of precipitation event (mm/event);
magnitude: peak intensity of precipitation event (mm/d);
q_sum: volume of discharge event (mm/event);
q_max: peak discharge (mm/d);
date_q_max: date of maximum discharge (date YYYY-MM-DD);
temp: temperature on the day of peak-precipitation (°C);
swe: snow-water-equivalent on the day prior to the occurrence of the precipitation extreme (mm);
sm: soil moisture anomalies on the day prior to the occurrence of the precipitation extreme (deviation from mean, percentage).

Related publications: 
Leduc, M., A. Mailhot, A. Frigon, J. L. Martel, R. Ludwig, G. B. Brietzke, M. Giguère, F. Brissette, R. Turcotte, M. Braun, and J. Scinocca (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, doi:10.1175/JAMC-D-18-0021.1
Willkofer, F., 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
Brunner, M., 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

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.

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.

References

Sources

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
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

Related Resources

The content of this resource serves as the data for: 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

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/
CC-BY-NC

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