The Application of the Interpolation of Satellite Data to
Recover Lake Baikal Water Surface Temperature Values
In the paper, an attention was paid to the study of the possibility of using linear temporal interpolation of time series data of the surface temperature of Lake Baikal retrieved from AVHRR data to recover the gaps caused by cloudiness. This approach was verified using a set of coincident water surface temperature estimates acquired by AVHRR-based regional retrieval algorithms and evaluations through time series interpolation. During the research, maps of the spatial distribution of absolute values of the differences between coincident interpolated temperature estimates and temperature retrievals obtained with regional algorithms were compiled. Also values of the mean absolute error of interpolation of the surface temperature of Lake Baikal were assessed. It was shown, that if the shift between the times of day of the interpolation result and of data used for interpolation was greater, then the error of interpolation was larger too. So, if the shift was not more than 1.3 hour, then the mean absolute error was less than 1 °C. Apparently, this was due to the diurnal variability of the surface temperature of Lake Baikal. According to AVHRR data, the diurnal range of the mean lake water surface temperature reached almost 3 °C in June and 4 °C in July.
Sutyrina Ekaterina Nikolaevna, Candidate of Sciences (Geography), Associate Professor, Department of Hydrology and Nature Management, Irkutsk State University, 1, K. Marx st., Irkutsk, 664003, Russian Federation, tel.: (3952) 52-10-72, е-mail: email@example.com
Timofeeva Sofia Sergeevna, Student, Faculty of Geography, Irkutsk State University, 1, K. Marx st., Irkutsk, 664003, Russian Federation, tel.: (3952) 52-10-72, e-mail: firstname.lastname@example.org
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