A network-based detection scheme of the jet stream core
Abstract. The polar and subtropical jet streams are strong upper-level winds with a crucial influence on weather throughout the Northern Hemisphere mid-latitudes. In particular, the polar jet is located between cold Arctic air to the North and warmer sub-tropical air to the South. Strongly meandering states therefore often lead to extreme surface weather. So far algorithms to detect jets' core around the hemisphere, including strong North-South undulations, are lacking. We develop a network-based scheme using Dijkstra's shortest path algorithm to detect the polar and subtropical jet stream core. This algorithm considers not only the commonly used wind strength for core detection but also takes wind direction and climatological latitudinal position into account. Furthermore, it distinguishes between polar and subtropical jet, and between separate and merged jet states. The detection scheme is optimized using simulated annealing and compared against an algorithm developed by Rikus (2015). After the successful optimization process we apply our scheme to climatology data and analyse seasonal data sets. We present probabilistic, regionally distinct positions for both jets for all seasons. This shows that winter is characterized by two well separated jets at mean longitudes of 20° S and 140° N. In contrast, summer normally has a single merged jet over the western Hemisphere and both merged and separated jet states possible in the eastern Hemisphere. With this algorithm it is possible to investigate the position of the jets' cores around the hemisphere and is therefore well suitable for analyses of jet stream patterns in observations or models.