Science which goes into computing hurricane predictions

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SUMMARY

The discussion focuses on advancements in hurricane prediction models, particularly in light of Hurricane Harvey's impact on the Texas Gulf Coast. Key insights include the ongoing challenges of predictive analysis in multiphysics and the significant improvements in forecast accuracy over the decades, with average track errors for 1-day forecasts now under 50 nautical miles compared to 2-3 times that in the early 1970s. The conversation references multiple resources, including a 2008 PDF on storm science and recent articles from Science magazine discussing new approaches in weather prediction.

PREREQUISITES
  • Understanding of multiphysics predictive analysis
  • Familiarity with hurricane forecasting models
  • Knowledge of atmospheric pressure variables in simulations
  • Awareness of historical advancements in meteorological accuracy
NEXT STEPS
  • Research the latest methodologies in multiphysics for weather prediction
  • Explore the impact of atmospheric pressure on hurricane simulations
  • Study the evolution of hurricane forecasting accuracy from 1970 to 2020
  • Investigate current technologies used in real-time weather prediction
USEFUL FOR

Meteorologists, climate scientists, and anyone involved in weather forecasting and predictive modeling will benefit from this discussion.

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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