Tropical Cyclone Detection and Tracking
This project is in Alpha, it might not be easy to get working and the documentation may be lacking details
The main aim of this project is to develop a procedure to detect and track tropical cyclones in the C20 Reanalysis Project (20CR). The procedure uses vorticity maxima to locate potential candidates for cyclones. These cylone candidates are then matched to best tracks from the IBTrACS catalogue. The matching allows the cyclone candidates to be classified as being either hurricanes or not hurricanes based on their characteristics (such as temp at 850hPa), using the matched best tracks to train the classifiers. This can be done in a period for which reliable best tracks exist: the satellite era (from 1965 to present day). Once the classifier has been trained, the number of estimated hurricanes can be worked out from just the 20CR data, which can then be used to produce an objective estimate of the historical numbers of hurricanes from earlier time periods. This provides a way of estimating how many hurricanes there were in the period from 1890 to 1965 from the 20CR data, and this can be compared with the best tracks numbers.
This project was developed for Mark Muetzelfeldt’s MSc Dissertation at UCL Geography Department. If you would like a copy of the dissertation please email me: firstname.lastname@example.org.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size stormtracks-0.5.2.7.tar.gz (226.5 kB)||File type Source||Python version None||Upload date||Hashes View|