Modelled non-stationary kilometer-scale hourly precipitation extremes of a 100-year event under 2 GWL scenarios for Germany +3K Scenario

Laux, Patrick

Dataset
Summary
[ Derived from parent entry - See data hierarchy tab ]

Given the importance of sub-daily extreme precipitation events for the occurrence of pluvial floods, it is a key component in climate change adaptation to quantify the likelihood of such extreme events under current and future climate conditions. Such assessments are usually limited by a lack of sufficiently dense and sub-daily precipitation observations, (ii) high-resolution convection-permitting regional climate model (CPM) simulations that realistically represent sub-daily precipitation extremes, and (iii) statistical methods that allow us to extrapolate extreme precipitation return levels under limited data availability and non-stationary conditions (i.e., climate change) based on the main governing physical processes.
We overcome these constraints through the utilization of kilometer-scale hourly radar precipitation estimates (RADKLIM) and spatially disaggregated observed daily temperature data (HYRAS-DE-TAS), and the implementation of a novel CPM ensemble covering the entirety of Germany, obtained from the NUKLEUS project within the BMBF-funded RegIKlim (Regionale Information zum Klimahandeln) initiative. Additionally, we introduce the Temperature-dependent Non-Asymptotic statistical model for eXtreme return levels (TENAX) model, a new approach that integrates daily temperature as a covariate, aligning with observed Clausius-Clapeyron scaling rates. This innovation results in a groundbreaking dataset of hourly extreme precipitation for Germany, marking the first instance of accounting for non-stationary climate conditions, i.e., in a +2K and +3K warmer world. The new dataset contains kilometer-scale hourly precipitation extremes for the return level of a 100-year event. Due to the inherent biases of radar-based estimates compared to ground observations, the precipitation extremes have been bias-adjusted on return level basis using KOSTRA.
Project
KARE (Klimawandelanpassung auf lokaler Ebene)
Spatial Coverage
Longitude 5.5 to 15.49 Latitude 47 to 54.99
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
Access constraints
registered users
Size
2.75 MiB (2883700 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2034-03-17
Download Permission
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Cite as
[ Derived from parent entry - See data hierarchy tab ]
Laux, Patrick (2024). Modelled non-stationary kilometer-scale hourly precipitation extremes of a 100-year event under 2 GWL scenarios for Germany. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/PrecExtr100yr

BibTeX RIS
VariableUnit
precipitation_amountCF
kg m-2

Parent

Modelled non-stationary kilometer-scale hourly precipitation extremes of a 100-year event under 2 GWL scenarios for Germany
Details
[Entry acronym: PrecExtr100yr_3K] [Entry id: 5275121]