Summary
This paper presents the Teddy tool v1.1, an open-source temporal disaggregation algorithm designed to convert daily climate model outputs to hourly sub-daily resolution for use in agricultural, water and energy impact models. The method uses daily climate analogues identified through rank statistics applied to historical reanalysis data (WFDE5), preserving physical dependencies between variables and strictly maintaining mass and energy conservation. Validation against the reference reanalysis dataset demonstrates the tool's ability to capture local and seasonal features of diurnal climate profiles whilst reproducing the original daily climate model values.
Regional applicability
The Teddy tool is designed for global application and is validated using globally available reanalysis data. Results are therefore applicable internationally, including to United Kingdom impact modelling, though effectiveness may vary regionally depending on the availability of suitable climate analogues in the historical reference dataset for specific locations and seasons.
Key measures
Accuracy of temporal disaggregation for seven climate variables (temperature, precipitation, humidity, longwave and shortwave radiation, surface pressure, wind speed); preservation of daily mass and energy balance; comparison of disaggregated hourly data against reference WFDE5 reanalysis data (1980–2019)
Outcomes reported
The study describes and validates the Teddy tool, an open-source method for disaggregating daily climate model data to hourly sub-daily resolution whilst preserving mass and energy balance. The tool is applied to CMIP6 climate model data and validated against hourly reanalysis data (WFDE5) for temperature, precipitation, humidity, radiation, surface pressure, and wind speed.
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