Information Technologies in Remote Sensing of the Earth

The paper presents an automatic algorithm for the air masses classification by the distribution of the total precipitable water values. Studying the atmosphere over the ocean makes it possible to distinguish three main classes that can be associated with air masses of the lower, high, and middle latitudes, the latter being a dynamic mixture of the first two. The classification is based on the approximation of histograms of the total precipitable water by the sum of four Gaussian functions (modes). Data analysis was performed for all basins of the World Ocean in a continuous interval of observations for the years 2003–2017. The implemented automatic analysis provides progress in studying the structure of atmospheric circulation and, in particular, in detecting and studying the characteristics of atmospheric rivers. In addition the problem of the study of atmospheric circulation over land was briefly addressed.

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Information Technologies in Remote Sensing of the Earth - RORSE 2018

Proceedings of the 16th Conference (November 12-16, 2018, Moscow, Russia)

Development of Automatic Algorithms for Detecting Atmospheric Rivers

Section 2. Methods and algorithms for processing remote monitoring data