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1723192 
Journal Article 
ANALYSIS OF THE ATMOSPHERIC AND EMISSIVITY INFLUENCE ON THE SPLIT-WINDOW EQUATION FOR SEA-SURFACE TEMPERATURE 
Coll, C; Caselles, V 
1994 
Yes 
International Journal of Remote Sensing
ISSN: 0143-1161
EISSN: 1366-5901 
15 
9 
1915-1932 
WOS:A1994NV16700013 
In this paper we have analysed the effects of the different atmospheric species (water vapour, fixed gases and aerosols) and the surface emissivity on the split-window method for determining the sea surface temperature. The widely used split-window method is based on the differential absorption of water vapour in the atmospheric window 10.5-12.5 mum. Other atmospheric species with absorption coefficients different to that of water vapour can then have a large influence on the split-window. The effect of gases, such as CO2, N2O, CH4, CO and O3, and maritime aerosols is evaluated by comparing the effect of the water vapour alone. To do this we simulated AVHRR measurements in channels 4 and 5 for a set of mid-latitude atmospheres using LOWTRAN 7 code. Our results indicated that the fixed gases have a negative effect on the split-window specially for dry atmospheres; in this case the error in retrieved temperatures was shown to increase by about 70 per cent with respect to that obtained considering water vapour only. The effect of maritime aerosols was parameterised in terms of the surface meteorological range and the path optical thickness was measured at 0.55 mum, which can be obtained from both visible channels of AVHRR. The total effect on the split-window appeared to be a linear function of the path optical thickness. On the other hand, we analysed the impact of sea surface emissivity showing that it is strongly dependent on the observation angle, especially for angles larger than 40-degrees. In addition to this it has been shown that the emissivity effect depends on the atmospheric moisture. However, for angles lower than 40-degrees the atmospherically averaged emissivity effect is close to zero. Finally we have given a correction algorithm accounting for all the studied effects, yielding an error estimated at 0.34 deg K over the simulated mid-latitude data set.