dataset

Metadata for 'BINGO HESS Extremal Episodes'

General Information

Name
BINGO HESS Extremal Episodes
Acronym
DKRZ_LTA_961_ds00004
Summary
Within the framework of the BINGO project http://www.projectbingo.eu/ a methodology has been developed for identifying days with an increased likelihood of extreme precipitation in coarser-resolution climate model or reanalysis data, so that these can be selectively dynamically downscaled to convection-permitting resolution, thus saving the high computational expense associated with continuous, multi-decadal convection-permitting simulations. The method is published and described in detail in the paper "A classification algorithm for selective dynamical downscaling of precipitation extremes", by EP Meredith, HW Rust and U Ulbrich, and published in Hydrol. Earth Syst. Sci., 22, 4183-4200, https://doi.org/10.5194/hess-22-4183-2018, 2018. This publication focuses solely on the Wupper catchment in western Germany, one of the research catchments in the BINGO project, in summer and winter.

This dataset contains the extremal episodes identified from ERA-Interim forced EURO-CORDEX simulations (0.11° resolution) and dynamically downscaled to 0.02° for the aforementioned publication. The 0.11° EURO-CORDEX simulations are archived here <https://cera-www.dkrz.de/WDCC/ui/cerasearch/entry?acronym=DKRZ_LTA_961_ds00002>.

The files in this dataset contain all extremal episodes dynamically downscaled from 0.11° ERA-Interim forced EURO-CORDEX simulations to 0.02° for the Wupper catchment, packed into yearly tgz files. A separate tar file contains the constant files and model settings.

For more detailed information, please see the attached PDF file(s) under the "Data Hierarchy" tab and the publication Meredith et al. (2018).

Note that these extremal episodes should not be confused with those stored for the Wupper catchment under the archived experiment "BINGO Extremal Episodes". For the current experiment, the methodology was further tested and developed to enhance the skill of the classification algorithm, and the predictor variables and thresholds are thus not identical. The predictor variables and thresholds for the current experiment are fully explained in the aforementioned publication.

References:

Meredith, E. P., Rust, H. W., and Ulbrich, U.: A classification algorithm for selective dynamical downscaling of precipitation extremes, Hydrol. Earth Syst. Sci., 22, 4183-4200, https://doi.org/10.5194/hess-22-4183-2018, 2018.
Spatial Coverage
Longitude 3.5 to 10.9 Latitude 48.9 to 53.4
Temporal Coverage
1979-06-01 to 2015-07-31 (gregorian)
Use constraints
Creative Commons Attribution NonCommercial ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Access constraints
registered users
Size
1.69 TiB (1859105387550 Byte)
Format
tar-File(s)
Progress
completely archived
Creation Date
2018-12-06
Future Review Date
2028-12-08
Download Permission
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Citation

Citation
Meredith, Edmund P.; Rust, Henning W.; Ulbrich, Uwe (2018). BINGO HESS Extremal Episodes. World Data Center for Climate (WDCC) at DKRZ. http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=DKRZ_LTA_961_ds00004

 
[Entry id: 3843675]