"Enhanced pan-Arctic AVHRR land surface temperature dataset (1km spatial resolution)"

"Land surface temperature (LST) is an Essential Climate Variable critical for monitoring land\u2013atmosphere interactions and climate change, particularly in the rapidly warming Arctic. This dataset provides a 42-year (1981\u20132023) pan-Arctic LST record at 1 km spatial resolution for regions north of 50\u00b0N, derived from thermal infrared observations acquired by AVHRR sensors onboard the NOAA and MetOp satellite series.The native ~4 km AVHRR Global Area Coverage (GAC) data are downscaled to 1 km using a deep learning\u2013based super-resolution approach based on a deep anisotropic diffusion model, trained on MODIS LST data and guided by high-resolution ancillary datasets. Cloud-contaminated observations are filtered using the CLARA-A3 probabilistic cloud mask.This dataset provides twice-daily LST observations and is validated against multiple in situ measurement networks (SURFRAD, ARM, KIT, and selected Arctic stations from BSRN). It supports applications in permafrost modelling, near-surface air temperature reconstruction, and Arctic climate monitoring, while extending high-resolution observations into the pre-MODIS era.More information can be found in Dupuis et al.: Four decades of circumpolar super-resolved satellite land surface temperature data, 2025, ArXiv."