Multi-sensor evaluation demonstrates robust warming trends in global skin temperature from 2008 to 2022, highlighting the reliability of satellite infrared observations for climate monitoring.
Earth's skin temperature (Tskin), i.e. land, ocean/sea, and ice surface temperatures (LST, SST, and IST), directly reflects surface–atmosphere energy exchanges and is an Essential Climate Variable (ECV). Yet it remains less exploited than near-surface air temperature in climate monitoring. Here, we intercompare and assess the capability of several infrared instruments and Tskin products to monitor climate variability during morning and evening overpasses from a multi-sensor and reanalysis perspective over 2008–2022. Two Infrared Atmospheric Sounding Interferometer (IASI) satellite products are analysed: the EUMETSAT all-sky Climate Data Record (IASI-CDR) and a newly developed clear-sky neural-network product (IASI-NN). These IASI products are compared with the Moderate Resolution Imaging Spectroradiometer MODIS Terra Land Surface Temperature (LST) (v6.1), ESA LST CCI (v3.00), ESA CCI/C3S SST and IST product, and ERA5 skin temperature. Over land, daytime global means agree within ∼ 2 K across datasets, but ESA LST CCI is consistently higher, and deseasonalised anomalies are highly consistent, except for LST CCI, which exhibits sensor-transition discontinuities. At night, MODIS shows a prevalent cold bias relative to all other products. Over the ocean, inter-dataset biases and RMSE between IASI, ERA5 and ESA CCI/C3S SST and IST globally remain below 1 K. Trend analyses reveal robust warming in Tskin since 2008 across the different datasets over land, while significant regional cooling is observed over India (daytime) and parts of central/eastern Africa, and in the southeastern Pacific associated with the Humboldt upwelling system.
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Safieddine et al. (2026) studied this question.
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