The GloSAT project developed a new global record of gridded near-surface monthly air temperature anomalies. What distinguishes it from most existing global temperature datasets is that it begins earlier (in 1781, though with limited spatial coverage) and that it uses air temperature observations over both land and ocean regions (rather than the surface water temperature over the oceans that most other datasets use).
UEA's Climatic Research Unit led the development of the land component of GloSAT, with funding from NERC (grant number NE/S015582/1).
GloSATref uses the HadCRUT5-style gridding methods but using the newly developed GloSAT LAT (land air temperature) and GloSAT MAT (marine air temperature) datasets as input. Reference: Morice et al. (2025).
GloSATLAT is the gridded Land Air Temperature station dataset for land areas. References: Morice et al. (2025) and Taylor et al. (2025).
GloSATMAT is the gridded Marine Air Temperature station dataset for ocean areas. Reference: Cornes et al. (2025).
GloSAT LATsdb is the Land Air Temperature station database used for the GloSATref gridded dataset. Reference: Taylor et al. (2025).
These datasets are made available under the Open Database License. Any rights in individual contents of the datasets are licensed under the Database Contents License under the conditions of Attribution and Share-Alike.
Updated: August 2025