An ensemble of daily average global wet bulb globe temperature (WBGT) estimates based on the primary and secondary ISIMIP3b (https://www.isimip.org) model ensemble (10 models). This dataset group comprises the historical period 1985-2014.
WBGT was estimated on an hourly basis using the PyWBGT python package (Kong and Huber, 2022, doi:10.1029/2021EF002334) based on the Liljegren method (Liljegren et al., 2008, doi:10.1080/15459620802310770). This method estimates WBGT from 2m-temperature (tas), near surface relative humidity (hurs), surface pressure (ps), 10m-windspeed (sfcWind) and surface solar radiation downwards (rsds). We calculated hourly from daily values using an average daily cycle for each Julian day separately. WBGT was estimated for each hour and subsequently averaged over each day. The dataset covers the entire globe, excluding Antarctica.
The dataset was developed within the CCH CP2 project (https://www.pik-potsdam.de/en/output/projects/all/977).
[ Derived from parent entry - See data hierarchy tab ]
Menz, Christoph; Lange, Stefan; Volkholz, Jan; Hattermann, Fred F. (2025). Global WBGT estimates based on ISIMIP3b. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/WBGT_ISIMIP