Lake Surface Water Temperature retrieval using AVHRR and MODIS data: Validation and feasibility study

摘要: In this study we prove the feasibility of AVHRR and MODIS SST algorithms to derive operational lake surface water temperature (LSWT). A validation covering two years was done using data from on NOAA-12, -15, -16, -17, TERRA, AQUA, with different method ingested in situ sized lakes. Best results were found for N-16 nighttime at Lake Geneva (bias 0.18K standard deviation 0.73K) TERRA Constance (satellite buoy bias -0.08K 0.92K). For all sensor families, an overall scatter ranging 0.9K 1.6K found. Bias is larger -1.73K 1.9K than one (-0.28K 1.5K). The current orbital configuration platforms used revealed diurnal evolution amplitude space. damped mixing a typical calm clear sky regime open ocean conditions. As main error sources, undetected cloudy pixel. Furthermore, physical difference between skin bulk temperature, especially its relation thermocline, solar insolation, wind stress contributes within matchup dataset. datasets validated allow further application LSWT climatology assimilation into numerical weather prediction models. D R F T September 15, 2005, 3:49pm OESCH ET AL.: DERIVED FROM AND X 3