Algorithm for detecting cyclone and anticyclone centres from mean sea level pressure layer

ABSTRACT

Automatic methods for identifying and tracking pressure systems have been traditionally focused on cyclones (and particularly on tropical cyclones), but the question of anticyclone centre detection remained unsolved since they are usually not a source of turbulent weather, precipitation, etc. An algorithm for automatic detection of both, cyclones and anticyclones based on the mean sea-level pressure field, is presented. The main advantages of our solution are easy implementation based on two-dimensional raster data, sufficient performance of the algorithm, and especially the possibility of high-pressure systems detection. Moreover, the presented solution does not need direct terrain filtering.

KEYWORDS:

• Cyclone detection
• anticyclone detection
• autodetection
• image processing

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/14498596.2022.2134221

Additional information

Funding

This work was supported by the Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University, and partially supported by the Czech Ministry of Education, Youth and Sports, project [PUNTIS (LO1506)].