Login

Mathematics of Planet Earth

  • Home
  • About MPE
  • Programs
    • Long Term Programs
    • Summer Schools
    • Workshops
    • Meetings
    • Special Sessions
    • Colloquia and Seminars
    • Public Lectures
    • Simons Lectures
  • Education
    • Public Lectures
    • Speakers Bureau
    • Summer Schools
    • Resources
    • Posters
    • Curriculum Materials
    • Academic programs
  • Events
    • MPE Day at UNESCO
    • Public Lectures
    • Exhibitions
    • Competitions
    • Awareness events
  • Partners
    • MPE2013 Partner Reports
    • Societies
    • International Bodies
    • Institutes
    • Research Centers
    • Scientific Journals
    • Teacher Associations
    • Academic
    • Magazines
    • Science Centers
    • Others
    • Becoming a Partner
  • Learn More
    • Books
    • Articles
    • Educational Resources
    • Videos and Podcasts
    • Speakers Bureau
  • Newsroom
  • Blog
  • Calendar
  • Opportunities
  • Français

Search

Latest Posts

Using Milankovitch Cycles to create high-resolution astrochronologies

November 30, 2020

 [...]

AIM/MCRN Summer School: Week 6

August 2, 2020

 [...]

Professor Christopher K.R.T. Jones — Recipient of the 2020 MPE Prize


Professor Chris Jones is the Bill Guthridge Distinguished Professor in Mathematics at the University of North Carolina at Chapel Hill and Director of the Mathematics and Climate Research Network (MCRN). The 2020 MPE Prize recognizes Professor Jones for his many significant contributions to climate science and the mathematics of planet Earth.

Categories

Mathematics, Statistics, and Storm Surges

Natural Disasters, Risk Analysis, Uncertainty Quantification

View of Hurricane Sandy. NASA Earth Observatory image by Robert Simmon with data courtesy of the NASA/NOAA GOES Project Science team.

Last week Philadelphia was a suburb of New Jersey. At least it seemed that way, with all the local news media coverage of hurricane Sandy on the one-year anniversary of its landing on the Jersey shore, on October 29, 2012. The media reports quite naturally focused on the impact of the storm on the region and the progress of the recovery. In many cases the impact was quite tragic, and recovery, while under way, still has a way to go.

Digging deeper, however, one found that there were other long-term issues that reach beyond the Jersey shore. In particular, insurance companies were forced once again to come up with better models for assessing the impact of a storm surge such as Sandy’s. Digging one layer deeper, one finds work done by many statisticians and mathematicians to better model and simulate a storm surge and to better predict the expected cost of damage from such a surge.

One learns that insurance companies –- quiet employers of people in mathematical sciences — are working hard to develop and improve impact-forecasting models for storm surges. For example, Aon Benfield is further developing impact-forecasting models, noting that “it is now more important than ever to respond to these large events by researching, developing and implementing flood catastrophe models that can better analyze the hazard of hurricane coastal and inland riverine flooding.” Work like this is crucial to efforts of insurers and re-insurers to better perform risk assessment.

Improving models and simulations for storm surge and improving statistical tools for risk assessment are major research topics within the mathematical sciences community. To cite one example, SIAM News covered work by Clint Dawson and his co-workers on modeling hurricane storm surge — Uncertainty Quantification 2012: Modeling Hurricane Storm Surge. This article gives on overview of the mathematical/computational issues in creating high-fidelity simulations of a storm surge.

Of course, the National Oceanic Atmospheric Administration (NOAA), the agency that plays a major role in weather prediction, also is involved in developing storm surge models in collaboration with research mathematicians and computational scientists. NOAA’s web site provides information on the models being developed.

NOAA’s models also caught the attention of the media; as an example, The Washington Post covered NOAA models in the August 2013 story Hurricane Center Gives Storm Surge Model a Boost.

It is interesting to those involved in the mathematical and computational aspects of these issues to see media coverage that shows the impact of the ongoing research. At the same time, it is somewhat disappointing that this work is often not mentioned in the media reports.

This entry was posted in Natural Disasters, Risk Analysis, Uncertainty Quantification by SIAM. Bookmark the permalink.

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

  • Contact

IMU UNESCO ICIAM ICSU