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 Tuesday of each month. 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.
9am Los Angeles
June 6 (9am LA): Rupert Klein (Freie Universität Berlin)
How Mathematics helps structuring climate discussions
Mathematics in climate research is often thought to be mainly a provider of techniques for solving the continuum mechanical equations for the flows of the atmosphere and oceans, for the motion and evolution of Earth’s ice masses, and the like. Three examples will elucidate that there is a much wider range of opportunities.
Climate modellers often employ reduced forms of “the continuum mechanical equations” to efficiently address their research questions of interest. The first example discusses how mathematical analysis provides systematic guidelines for deriving and rigorously characterizing such reduced model equations.
The second example describes recent developments of data analysis techniques that are relevant for "small data", rather than "big data", problems in the context of seasonal weather (condition) prediction and climate research. As an example we will discuss the data-based one- to two-year prediction of El Niño periods.
Modern climate research has joined forces with economy and the social sciences to generate a scientific basis for informed political decisions in the face of global climate change. One major type of problems hampering progress of the related interdisciplinary research arise from often subtle language barriers. Accordingly, the third example describes how a mathematical formalization of the notion of “vulnerability w.r.t. climate change” has helped structuring the discourse in a related interdisciplinary research project.
July 4 (9am LA): David Neelin (UCLA)
September 5 (time TBC): Marina Hirota (Federal University of Santa Catarina)
October 3 (9am LA): Paul O’Gorman (MIT)
November 7 (9am London): Bedartha Goswami (University of Tübingen)
December 5 (time TBC): Martin Rypdal (UiT The Arctic University of Norway)
February 6 (time TBC): Pierre Gentine (Columbia University)
Dimitris Giannakis (Courant Institute, NYU)
John Wettlaufer (Yale University and Nordita Stockholm)
Amit Apte (Bengaluru, India)
Gary Froyland (UNSW, Australia)
Georg Gottwald* (University of Sydney, Australia)
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