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 London

9am Beijing

9am Los Angeles

Upcoming talks:

February 1st (9am Los Angeles): Ted Shepherd, Department of Meteorology, University of Reading

Bringing physical reasoning into statistical practice in climate-change science

The treatment of uncertainty in climate-change science is dominated by the far-reaching influence of the ‘frequentist’ tradition in statistics, which interprets uncertainty in terms of sampling statistics and emphasizes p-values and statistical significance. This is the normative standard in the journals where most climate-change science is published. Yet a sampling distribution is not always meaningful (there is only one planet Earth). Moreover, scientific statements about climate change are hypotheses, and the frequentist tradition has no way of expressing the uncertainty of a hypothesis. As a result, in climate-change science, there is generally a disconnect between physical reasoning and statistical practice. In this talk, I explain how the frequentist statistical methods used in climate-change science can be embedded within the more general framework of probability theory, which is based on very simple logical principles. In this way, the physical reasoning represented in scientific hypotheses, which underpins climate-change science, can be brought into statistical practice in a transparent and logically rigorous way. The principles are illustrated through three examples of controversial scientific topics: the alleged global warming hiatus, Arctic-midlatitude linkages, and extreme event attribution. These examples show how the principles can be applied, in order to develop better scientific practice.

Future talks:

March 1st (TBC)

Scientific Committee:


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)

  • 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'