{
  "dates": [
    {
      "date": "2026-04-13",
      "dateType": "Issued"
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  "titles": [
    {
      "title": "Hourly ISIMIP3b bias-adjusted atmospheric climate input data"
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  "version": "1.0",
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      "name": "Michel Bechtold",
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  "language": "en",
  "subjects": [
    {
      "subject": "EARTH SCIENCE > ATMOSPHERE",
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      "rights": "CC0 1.0 Universal Public Domain Dedication",
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  "descriptions": [
    {
      "description": "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).<br>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.<br>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.",
      "descriptionType": "Abstract"
    },
    {
      "description": "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 \u2013 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).",
      "descriptionType": "Methods"
    }
  ],
  "geoLocations": [
    {
      "geoLocationBox": {
        "eastBoundLongitude": 179.5,
        "northBoundLatitude": 89.5,
        "southBoundLatitude": -89.5,
        "westBoundLongitude": -179.5
      },
      "geoLocationPlace": "global"
    }
  ],
  "schemaVersion": "http://datacite.org/schema/kernel-4",
  "publicationYear": "2026",
  "relatedIdentifiers": [
    {
      "citation": "Cucchi, M., G. P. Weedon, A. Amici, N. Bellouin, S. Lange, H. M\u00fcller 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",
      "relationType": "Cites",
      "relatedIdentifier": "https://doi.org/10.5194/essd-12-2097-2020",
      "relatedIdentifierType": "DOI"
    },
    {
      "citation": "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",
      "relationType": "Cites",
      "relatedIdentifier": "https://doi.org/10.5194/gmd-16-5383-2023",
      "relatedIdentifierType": "DOI"
    },
    {
      "citation": "Stefan Lange, Matthias B\u00fcchner (2020): ISIMIP3b bias-adjusted atmospheric climate input data (1.1). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.842396.1",
      "relationType": "IsDerivedFrom",
      "relatedIdentifier": "https://doi.org/10.48364/ISIMIP.842396.1",
      "relatedIdentifierType": "DOI"
    },
    {
      "citation": "Florian Zabel, & Benjamin Poschlod. (2025). Teddy-Tool v1.3: Temporal Disaggregation of Daily Climate Model Data (1.3). Zenodo. https://doi.org/10.5281/zenodo.17551135",
      "relationType": "References",
      "relatedIdentifier": "https://doi.org/10.5281/zenodo.17551135",
      "relatedIdentifierType": "DOI"
    },
    {
      "citation": "Teddy-Tool on GitHub https://github.com/flozabel/Teddy",
      "relationType": "References",
      "relatedIdentifier": "https://github.com/flozabel/Teddy",
      "relatedIdentifierType": "URL"
    }
  ]
}