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oai:wdcc.dkrz.de:iso_5275119 2026-04-06T23:18:08Z iso-wdcc-doi

wdc-climate.de:5275119 eng; USA collection PrecExtr100yr Dr. Patrick Laux Karlsruhe Institute of Technology not filled pointOfContact 2024-03-14T11:26:00 ISO 19115 ISO 19115-2:2009 Modelled non-stationary kilometer-scale hourly precipitation extremes of a 100-year event under 2 GWL scenarios for Germany 2024-03-19 publication 1 PrecExtr100yr doi:10.26050/WDCC/PrecExtr100yr Dr. Patrick Laux Karlsruhe Institute of Technology not filled Email: patrick.laux@kit.edu principalInvestigator Dr. Patrick Laux Karlsruhe Institute of Technology not filled Email: patrick.laux@kit.edu author WDCC publisher 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. Dr. Patrick Laux Karlsruhe Institute of Technology not filled pointOfContact NetCDF KARE climate impact extreme events CC-BY-4.0: Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ eng; USA 5.5 15.5 47.0 55.0 info:eu-repo/grantAgreement/BMBF//01LR2006D/DE//RegIKLIM - KARE (Regional Information on Climate Action) precipitation_amount "Amount" means mass per unit area. "Precipitation" in the earths atmosphere means precipitation of water in all phases. [CF-Standard Name]; unit: kg m-2 NetCDF 6 https://www.wdc-climate.de/ui/entry?acronym=PrecExtr100yr information collection