Abstract

Abstract A simple physically-based method for estimating the daily surface outgoing longwave radiative flux during cloudless days is presented. The proposed algorithm is well-suited for remote sensing purposes, in the framework of surface net radiation and evapotranspiration studies: it only requires the NOAA-AVHRR derived surface temperature acquired in the early afternoon, the minimum air temperature easily obtainable from the meteorological network, and the day-length computed from the site coordinates and the date. The algorithm features one single empirical coefficient, adjusted statistically on a large data set generated by a coupled heat and mass transfer model between the soil and the atmosphere. The method is then validated against ten different experimental data sets, covering a wide range of surface, climate and weather conditions. The validation is performed at the daily and five-day scales and is shown to lead to a good precision. The sources of errors are then discussed and a map of the surf...

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