Supplementary data for storyline approaches to assess low-likelihood high-impact outcomes under different emission scenarios
Abstract
This dataset contains the supplementary data for a manuscript on storyline approaches to assess low-likelihood high-impact outcomes under different emission scenarios. The dataset contains estimates of 7-day running mean of daily maximum temperatures (Tx7day), precipitation minus evapotranspiration (P-E), and annual maximum daily maximum precipitation (Rx1day) for the scenarios SSP1-2.6, SSP2-4.5, and SSP3-7.0 for multiple CMIP6 models. Data are available averaged over two different time periods (1995-2014, 2081-2100) and for different storyline approaches (nearest neighbour, warming level, pattern scaling). Additionally, time series of global mean surface air temperature (GSAT) are available. Ancillary data contain the SREX regions at 1° spatial resolution as well as the five nearest-neighbour models for each SSP-RCP scenario. Note that the nearest-neighbour models available here are calculated based on the full model ensemble, that is without considering potential model interdependencies.
Fields of Study & Subjects
Climate variability and models
Climate Change and Environmental Impact
Climate Change Policy and Economics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 30 January 2026