Hurricane path projection and mathematics

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Discussion Overview

The discussion focuses on the mathematical methods and models used to predict hurricane paths, exploring the complexities and challenges involved in meteorological forecasting. Participants discuss the role of differential equations, statistics, and computer models in this context.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants propose that differential equations and statistics are fundamental to predicting hurricane paths, with an emphasis on computer models that vary in assumptions and parameters.
  • Others argue that while calculus is certainly used, the limited availability of detailed statistical data on environmental factors like water and air temperatures restricts the effectiveness of statistical methods.
  • A participant highlights the complexity of models, suggesting that numerical solutions to coupled nonlinear partial differential equations (PDEs) are likely involved.
  • Concerns are raised about the decreasing number of meteorological stations and the implications for data quality and availability in hurricane forecasting.
  • There is a discussion about the reliability of weather buoys as marine meteorological stations, with some participants noting the various errors associated with remote observation methods.
  • A participant recalls a specific instance of hurricane Jeanne in 2004, illustrating the unpredictability of storm paths and the challenges faced by meteorologists.

Areas of Agreement / Disagreement

Participants express a range of views regarding the mathematical approaches used in hurricane forecasting, with no consensus on the effectiveness or reliability of the methods discussed. The discussion remains unresolved regarding the best practices and models for predicting hurricane paths.

Contextual Notes

Limitations include the dependence on the availability and accuracy of meteorological data, as well as the challenges posed by the complexity of the models and the assumptions made in their development.

HeLiXe
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I imagine differential equations and statistics are used. What type of math is used to predict the path of hurricanes?
 
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HeLiXe said:
I imagine differential equations and statistics are used. What type of math is used to predict the path of hurricanes?

Virtually all major hurricane path predictions are based on computer models. Most of these models differ in their basic assumptions (algorithms), the values given to various parameters, and in the size and complexity of the geographic and temporal grids. Calculus is certainly used, but statistics have only a limited use. We simply don't have the detailed statistics necessary on water temperature, air temperatures, humidity and the like for all ocean areas that support hurricanes.

Meteorological stations (both marine and terrestrial) cost money. We actually have fewer first order meteorological stations today (2011) than we did in 1950.
 
klimatos said:
Virtually all major hurricane path predictions are based on computer models. Most of these models differ in their basic assumptions (algorithms), the values given to various parameters, and in the size and complexity of the geographic and temporal grids. Calculus is certainly used, but statistics have only a limited use. We simply don't have the detailed statistics necessary on water temperature, air temperatures, humidity and the like for all ocean areas that support hurricanes.

Meteorological stations (both marine and terrestrial) cost money. We actually have fewer first order meteorological stations today (2011) than we did in 1950.

Thanks so much klimatos...I can only imagine the models are complex with various assumptions, parameters, variables and constants which is why I figured differential equations are used.

And forgive my ignorance as I am an expert in nothing yet, but are weather buoys also considered marine meteorological stations?
 
HeLiXe said:
I imagine differential equations and statistics are used. What type of math is used to predict the path of hurricanes?
Probably numerical solutions to coupled nonlinear PDEs, i.e., CFD.

Here - http://www.nhc.noaa.gov/HAW2/english/basics/models.shtml

http://www.nhc.noaa.gov/aboutmodels.shtml

Kaplan, J., DeMaria, M., 1995: A Simple Empirical Model for Predicting the Decay of Tropical Cyclone Winds After Landfall. J. App. Meteor., 34, No. 11, 2499-2512.

http://www.srh.noaa.gov/ssd/nwpmodel/html/nhcmodel.htm

http://www.olcf.ornl.gov/2011/08/19...help-model-hurricane-structure-and-intensity/

Fitting Statistical Distributions to Data in Hurricane Modeling
http://hurricane.methaz.org/papers/auburn.pdf
 
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Thanks Astronuc :biggrin: :biggrin::biggrin:
 
One storm and its projection which has always stood out in my mind is hurricane Jeanne in 2004. I remember the projected path kept changing and one day the meteorologist said, "Frankly, we have no idea where this storm is going to go."
1801295_f520.jpg

It made a full circle. Very impressive!
 
Found this in one of the links you provided. Pretty cool stuff :D:D:D:D:D
http://www.nhc.noaa.gov/modelsummary.shtml"
 
Last edited by a moderator:
HeLiXe said:
And forgive my ignorance as I am an expert in nothing yet, but are weather buoys also considered marine meteorological stations?

Yes, they are. There are, however, many types of so-called weather bouys. They suffer from all of the ills that remotely-operated stations are heir to. There are observation errors, transcription errors, compilation errors, transmission errors, reception errors, and transcription errors on the receiving end. What you end up with is a string of numbers some millions of characters long. Some of these number are valid and some are not.

Some poor meteorologist has to decide one by one which are valid and which are not. Sometimes you throw out individual measurements, sometimes you throw out whole hours, sometimes you throw out days and sometimes you throw out entire months.

Remote stations are never as reliable as all-day, every-day stations manned by professional meteorologists. They are, however, much much cheaper.
 
Wow months! That's terrible. One would think there would be a way for the buoys to operate more effectively. Thanks so much for the info klimatos.
 

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