Polar night jet characterization through artificial intelligence

María Rodríguez-Montes,Blanca Ayarzagüena,María Guijarro

Computers & Geosciences(2022)

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摘要
The stratospheric polar vortex is a cyclonic circulation that forms over the winter pole, whose edge is characterized by a strong westerly jet (also called polar night jet, PNJ). The PNJ plays a key role in processes such as the distribution of atmospheric constituents in the polar stratosphere or the wave propagation. Further, variations in PNJ can also affect the troposphere, being behind the occurrence of extreme events near the Earth’s surface. Thus, it is important to correctly characterize the mean state of the PNJ and its variability. Already existing algorithms, although working, may present several issues. The simplest ones, those based on zonal mean wind, can miss important information. In contrast, the 2-dimensional ones usually involve multiple calculations with several fields, some of them not always included in typical datasets.
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关键词
Stratosphere,Polar night jet,Region growing,Machine learning,Climate change,Decision trees
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