Bechtold et al. (2026) Hourly ISIMIP3b bias-adjusted atmospheric climate input data

Identification

• Journal: ISIMIP Repository
• Year: 2026
• Date: 2026-04-13
• Authors: Michel Bechtold, Florian Zabel, Benjamin Poschlod, Christian Otto, Matthias Büchner, Jan Volkholz
• DOI: 10.48364/isimip.170328

Research Groups

• Potsdam Institute for Climate Impact Research (PIK)

Short Summary

This dataset provides hourly CMIP6-based, bias-adjusted atmospheric climate input data, derived by temporally disaggregating daily ISIMIP3b data using the Teddy tool, for use in climate impact analysis.

Objective

• To generate and provide a comprehensive dataset of hourly, bias-adjusted atmospheric climate input data from five CMIP6 global climate models across historical and future Shared Socioeconomic Pathway (SSP) experiments for climate impact studies.

Study Configuration

• Spatial Scale: Global
• Temporal Scale: Hourly resolution, disaggregated from daily data, covering historical and future climate scenarios (ssp126, ssp370, ssp585). Reference data spans 1980–2019.

Methodology and Data

• Models used:
  • Temporal disaggregation performed using version 1.3 of the Teddy tool (Zabel and Poschlod, 2023).
  • Input climate models: GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL (from CMIP6).
• Data sources:
  • Daily ISIMIP3b bias-adjusted climate input data (Lange et al., 2021).
  • Globally available bias-corrected hourly reanalysis WFDE5 (WATCH Forcing Data methodology applied to ERA5) data from 1980–2019 (Cucchi et al., 2020) used as a reference for diurnal profiles.

Main Results

• A comprehensive dataset of hourly CMIP6-based, bias-adjusted atmospheric climate input data is provided.
• The dataset includes data from five CMIP6 global climate models (GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL).
• It covers historical, ssp126, ssp370, and ssp585 experiments (excluding picontrol).
• Key variables provided at hourly resolution include:
  • Humidity (hurs) in percent (%).
  • Precipitation (pr) in millimeters per hour (mm h⁻¹).
  • Air pressure (ps) in hectopascals (hPa).
  • Incoming longwave solar radiation (rlds) in watts per square meter (W m⁻²).
  • Incoming shortwave solar radiation (rsds) in watts per square meter (W m⁻²).
  • 10-meter wind speed (sfcwind) in meters per second (m s⁻¹).
  • 2-meter air temperature (tas) in kelvin (K).
• The disaggregation method strictly preserves daily mass and energy from the climate models and maintains temporal coherence between variables.

Contributions

• This dataset provides a crucial resource for climate impact analysis by offering high-temporal-resolution (hourly) climate input data, which is often required for detailed impact modeling.
• It bridges the gap between daily climate model outputs and the sub-daily resolution needs of many impact models, using a validated and open-source disaggregation tool (Teddy).
• The dataset ensures consistency with the ISIMIP3b protocol and CMIP6 models, facilitating standardized climate impact assessments.

Funding

Not explicitly mentioned in the provided text.

Citation

@article{Bechtold2026Hourly,
  author = {Bechtold, Michel and Zabel, Florian and Poschlod, Benjamin and Otto, Christian and Büchner, Matthias and Volkholz, Jan},
  title = {Hourly ISIMIP3b bias-adjusted atmospheric climate input data},
  journal = {ISIMIP Repository},
  year = {2026},
  doi = {10.48364/isimip.170328},
  url = {https://doi.org/10.48364/isimip.170328}
}