NOAA-AVHRR Orbital Drift Correction: Validating Methods Using MSG-SEVIRI Data as a Benchmark Dataset

National Oceanic and Atmospheric Administration–Advanced Very High Resolution Radiometer (NOAA-AVHRR) data provides the possibility to build longest Land Surface Temperature (LST) dataset date, starting in 1981 up present. However, due orbital drift of NOAA platforms, no LST is available before 2000 arrival newer platforms. Although numerous methods have been developed correct this effect on LST, a lack validation has prevented their application. This gap we bridge here by using 15 min temporal resolution Meteosat Second Generation–Spinning Enhanced Visible Infra-Red Imager (MSG-SEVIRI) simulate drifted reference time series. We then use these series validate an correction method based solar zenith angle (SZA) anomalies that presented previous work (C1), as well two variations approach (C0 C2). Our results show C0 performs better than others, although its overall bias absolute value ranges 1 K, while standard deviation values remain around 3 K. verified for most land covers, all statistics mostly stable with noise SZA (from 0° ±10°). With study, can be thoroughly validated such should aim toward below 0.1 K 1.4 at coarse spatial resolution. To other approaches, used are freely download from first author’s webpage. will step building orbital-drift-corrected long-term dataset.