One World Mathematics of Climate

One World Mathematics of Climate

The «  One World Mathematics of Climate »  is an online platform which aims at gathering the best scientists from all over the world on the subject of mathematics, theoretical physics and statistical mechanics for modelling and understanding climate. Our aim is to provide the best possible scientific discussions to a wide international audience, without the need for travel. The current situation offers a unique opportunity to begin organizing differently the way we have been conducting science as a community. 

The «  One World Mathematics of Climate »  community runs the regular online One World Mathematics of Climate seminars, and will experiment with other ways of fostering international collaborations online at the scale of the scientific community.

Dates, times and format

One World Mathematics of Climate seminars will take place on the first Monday of each month (unless there is a holiday). The time of the seminar will rotate to allow all time zones to participate in live seminars some of the time.  Seminars will be recorded and made available as soon as possible.

Seminars will take place via zoom. To receive the zoom details, please join the mailing list or register for each seminar.

The yellow region on the maps below shows approximately the region we are targetting with each seminar timeslot.

Next talk:

Note that seminars are on the first Monday of the month.

May 6th (9am London): Meagan Carney (University of Queensland)

Clustering of Extremes in Climate

We discuss extreme value theory in the dynamical framework where weak dependence causes clustering of extremes to occur. Motivated by the loss of clustering information in traditional return level estimates, we consider functionals defined as the windowed minimum and time-average of a weakly dependent sequence often used to describe heat-waves, cold-spells, or bursts of rainfall in a region. We derive a general lemma that extends the max-stability property of the shape parameter for the Generalised Extreme Value distribution of these functionals for any chosen window size and show that in certain settings we can obtain apriori estimates on the location and scale parameters as well. Our method results in increased numerical performance when benchmarked against traditional maximum likelihood fitting. Extreme clustering of rainfall and temperature in Germany is used as a case-study.

Upcoming talks:

June 3rd (9am London): Max Rietkerk (Utrecht University)

July 1st (9am LA): Stephan Hoyer

September 2nd (9am London): Matthew Chantry & Peter Dueben (ECMWF)

October 7th (9am London): Beth Wingate (University of Exeter)

November 4th (9am LA):

December 2nd (9am LA): Elisabeth Barnes (Colorado State University)

Scientific Committee:

Americas:

• 
Dimitris Giannakis (Courant Institute, NYU)

• John Wettlaufer (Yale University and Nordita Stockholm)

Asia/Pacific:


• Amit Apte (Bengaluru, India)

• Gary Froyland (UNSW, Australia)

• Georg Gottwald* (University of Sydney, Australia)

Europe:


• Freddy Bouchet* (ENS de Lyon)

• Niklas Boers* (Potsdam Institute for Climate Impact Research)

• Hannah Christensen* (University of Oxford)

• Anne Laure Dalibard (Sorbonne University, Paris)

• Henk Dijkstra (Utrecht University)

• Anna von der Heydt (Utrecht University)

• Jemma Shipton* (University of Exeter)

• Jacques Vanneste (University of Edinburgh)

*Organising committee. Please get in touch: oneworldmathsofclimate 'at' gmail.com