https://github.com/aldomann/tropical-cyclones
Scripts to replicate the analyses and figures from "Scaling of tropical-cyclone dissipation" by Corral et al.
https://github.com/aldomann/tropical-cyclones
bachelor-thesis data-analysis hurricanes mathematical-statistics ocean studies
Last synced: about 1 month ago
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Scripts to replicate the analyses and figures from "Scaling of tropical-cyclone dissipation" by Corral et al.
- Host: GitHub
- URL: https://github.com/aldomann/tropical-cyclones
- Owner: aldomann
- License: gpl-3.0
- Created: 2017-04-27T12:37:00.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2020-12-21T17:25:26.000Z (over 5 years ago)
- Last Synced: 2024-12-06T19:46:50.959Z (over 1 year ago)
- Topics: bachelor-thesis, data-analysis, hurricanes, mathematical-statistics, ocean, studies
- Language: R
- Homepage:
- Size: 51.8 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Tropical-cyclones
My bachelor's thesis (with [Alvaro Corral](http://www.crm.cat/en/About/People/Researchers/acorral/Pages/PersonalContact.aspx?ItemId=CO000207) as my thesis supervisor) consists of the study of hurricanes; both statistical and real occurrences, and comparison with some simple model of self-organized criticality.
The scripts are used to replicate the analyses and figures from *Scaling of tropical-cyclone dissipation* [1].
## Summary of the analysis
Outline of the procedure used in the paper, and thus my bachelor's thesis.
### Storm track
Hurricane Katrina is selected as an illustration of the calculation of the PDI.

### PDI statistics
The large-scale application of the same calculation yields the PDI probability density.

### Climate analysis
Separating years of high and low sea surface temperature, for example, splits the probability density into two contributions, shown here for the North Atlantic.


## References
[1] : Osso, A., Corral, A., & Llebot, J. E. (2009). *Scaling of Tropical-Cyclone Dissipation*. Nature Physics, 6(9), 693–696. https://doi.org/10.1038/nphys1725