Science which goes into computing hurricane predictions

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Discussion Overview

The discussion revolves around the science and methodologies involved in computing hurricane predictions, particularly in light of recent hurricanes like Harvey and Maria. Participants explore various computer models, predictive analysis, and advancements in forecasting techniques, while referencing articles and data related to these topics.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants note that despite advances in real-time prediction methods, estimates of hurricane paths often disagree with each other.
  • Predictive analysis in multiphysics is described as challenging by one participant.
  • Several participants share links to articles discussing new approaches in weather and climate prediction, indicating ongoing developments in the field.
  • One participant highlights the importance of low pressure readings as a key variable in hurricane simulations.
  • Another participant references improvements in average track errors for hurricane forecasts over the decades, suggesting significant advancements in prediction accuracy.

Areas of Agreement / Disagreement

Participants express a general acknowledgment of the challenges and advancements in hurricane prediction, but there is no consensus on the effectiveness of current models or the implications of the discrepancies in predictions.

Contextual Notes

The discussion includes references to specific articles and data, but does not resolve the complexities of the predictive models or the assumptions underlying them.

scottdave
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With Hurricane Harvey hitting the Texas Gulf Coast, I came across this article, while trying to learn about these different computer models.
I found the article in this PDF file an interesting read. I'm sure that there have been some advances in real-time prediction methods, since this article (Nov. 2008). And yet we still have estimates, which often disagree with each other.
https://www.tacc.utexas.edu/documents/13601/125287/science_center_of_storm.pdf
 
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scottdave said:
And yet we still have estimates, which often disagree with each other.
Predictive analysis in multiphysics is challenging.
 
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You might find this open access news article from Science magazine interesting.

Its about new approaches in weather and climate prediction.
 
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Here is another news article from Science magazine, on this subject, WRT the current storm.
 
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Here is a summary of Maria. There is an image showing the predicted paths Maria will take over the next 5 days, hopefully out to sea, rather than over the coast.

The last image is a table with the low pressure readings from various intense hurricanes. The pressure is just one key variable one has to include in a simulation.

http://www.msn.com/en-us/news/us/as-hurricane-maria-slowly-pulls-away-from-puerto-rico-the-us-east-coast-awaits-its-next-move/ar-AAsgETl?li=BBmkt5R
 
Five years later - https://www.forbes.com/sites/marsha...use-false-narratives-about-weather-forecasts/

. . . graphic below shows the reduction in average track errors in the Atlantic Basin from 1970 to 2020. Clearly, there are dramatic improvements in the 1 to 5 day range. Today, the average error at 1-day is less than 50 nautical miles. In the early 1970s, it was 2 to 3 times that amount. Today, a 3-day forecast is better than a 1-day forecast in 1970.

http://bmcnoldy.blogspot.com/2022/04/2022-cone-of-uncertainty-update.html
 
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