Hourly ISIMIP3b bias-adjusted atmospheric climate input data

Cite as

Michel Bechtold, Florian Zabel, Benjamin Poschlod, Christian Otto, Matthias Büchner, Jan Volkholz (2026): Hourly ISIMIP3b bias-adjusted atmospheric climate input data (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.170328

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.170328
Title:
Hourly ISIMIP3b bias-adjusted atmospheric climate input data
Version:
1.0
Creators:
Contact person:

For inquiries concerning this dataset, please contact info@isimip.org.

Abstract:

This dataset provides hourly CMIP6-based, bias-adjusted atmospheric climate data derived from temporal disaggregation of daily ISIMIP3b bias-adjusted climate input data (Lange et al., 2021) using the version 1.3 of the Teddy tool (Zabel and Poschlod, 2023).

This dataset provides hourly data from the five CMIP6 global climate models used in the ISIMIP3b protocol (GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL) across the historical, ssp126, ssp370, and ssp585 experiments, excluding picontrol.

It includes the following variables: humidity (hurs [%]), precipitation (pr [mm h-1]), air pressure (ps[hPa]), incoming longwave solar radiation (rlds[W m-2]), incoming shortwave solar radiation (rsds[W m-2]), 10m wind speed (sfcwind[m s-1]), 2m air temperature (tas[K]). Snowfall and specific humidity are not included but can be estimated from other provided fields.

Methods:

We disaggregate daily ISIMIP climate model data to hourly temporal resolution using version 1.3 of the Teddy tool (Zabel and Poschlod, 2023). The methodology for temporal disaggregation in Teddy is based on the choice of daily climate analogues. As a reference, globally available bias-corrected hourly reanalysis WFDE5 (WATCH Forcing Data methodology applied to ERA5) data from 1980 – 2019 (Cucchi et al., 2020) are used to take specific local and seasonal features of the empirical diurnal profiles into account. For a given location and day within the climate model data, the Teddy tool screens the reference data set to find the most similar meteorological day based on rank statistics. The diurnal profile of the reference data is then applied to the climate model. Teddy strictly preserves daily mass and energy from the climate models, and maintains temporal coherence between variables. Teddy is described and validated in detail by Zabel and Poschlod (2023). The code is available open-source (https://github.com/flozabel/Teddy).

Publication date:
April 13, 2026
Publisher:
ISIMIP Repository
Contributors:

Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset.

Rights

CC0 1.0 Universal Public Domain Dedication
CC0 1.0 Universal Public Domain Dedication (CC0 1.0)
When using ISIMIP data for your research, please appropriately credit the data providers, e.g. either by citing the DOI for the dataset, or by appropriate acknowledgment. We strongly encourage to offer co-authorship to at least a representative of the data providers. Further information can be found in our terms of use.

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References

  • Cucchi, M., G. P. Weedon, A. Amici, N. Bellouin, S. Lange, H. Müller Schmied, H. Hersbach, and C. Buontempo. 2020. 'WFDE5: bias-adjusted ERA5 reanalysis data for impact studies', Earth Syst. Sci. Data, 12: 2097-120. https://doi.org/10.5194/essd-12-2097-2020
  • Zabel, F., and B. Poschlod. 2023. The Teddy tool v1.1: temporal disaggregation of daily climate model data for climate impact analysis, Geosci. Model Dev., 16: 5383-99. https://doi.org/10.5194/gmd-16-5383-2023

Source datasets

Other references

Version History

  • Version 1.0 was created on April 13, 2026.
    this version

GCMD Keywords

  • EARTH SCIENCE > ATMOSPHERE
  • Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled vocabularies maintained by NASA (more information).

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