Per- and Polyfluorinated Alkyl Substances (PFAS) constitute a group of often toxic, persistent, and bioaccumulative substances. We constructed a global Emissions model and inventory based on multiple datasets for 23 widely used PFAS. The model computes temporally and spatially resolved model ready emissions distinguishing between emissions to air and emissions to water covering the time span from 1950 up until 2020 on an annual basis to be used for chemistry transport modelling.

We introduce GLBD-FED (1981–2024), a global daily temperature dataset spanning ~17 000 stations. To harmonize varying national reporting times, we reconstruct sub-daily observations into consistent 24 h physical windows, preferentially aligned to 00:00–24:00 UTC. This effectively corrects Time of Observation Biases. GLBD-FED provides a globally uniform, first-hand observational baseline highly valuable for synoptic weather evaluation and validating numerical weather prediction models.