NEW DATES - Mathematics of Climate Science (Online format) (2020 CIMPA School postponed due to Covid 19)

Location

KIGALI
,
Rwanda

Dates

to

Presentation

The school aims at introducing graduate students and young researchers to the mathematic of climate science. Lectures will cover key topics in the field focusing on their mathematical complexity and dimension. Climate science is genuinely interdisciplinary and this is reflected in the breath of topics offered in the school: predictability, data assimilation, climate prediction, climate sensitivity and thermodynamics. The mathematics to address and understand these problems will be the characteristic of the school and will include dynamical system, statistics, numer­ical methods, statistical mechanics and linear algebra. The lectures will start by presenting the phys­ical concrete challenge and then will focus on the mathematical tools and concept used to solve them. At the same time, there will be tutorials with practical problems to be solved by the students under
the mentors' guidance.

Official language of the school: English

Administrative and scientific coordinators

Blaise TCHAPNDA (African Institute for Mathematical Sciences (AIMS) Rwanda,
Rwanda
, )
Alberto CARRASSI (University of Reading (United Kingdom) and University of Utrecht (Netherlands), , )

Scientific program

Course 1: "Predictability of the Atmosphere and Climate", Stephane VANNITSEM (Royal Meteorological Institute of Belgium, Belgium)

Course 2: "Response and Fluctuations in the Climate System", Valerio LUCARINI (University of Reading, United Kingdom)

Course 3: "Data Assimilation ", Alberto CARRASSI (University of Reading (United Kingdom) and University of Utrecht (Netherlands))

Course 4: "Geostatistics", Laurent BERTINO (NERSC, Norway)

Course 5: "Tropical Dynamics", Amit APTE (ICTS, India)

Course 6: "Forecasting Uncertain Hazards in a Changing Climate", Elaine SPILLER (Marquette University, USA)

Course 7: "Climate Prediction", François COUNILLON (NERSC, Norway)

Course 8: "Tutorial on Experimental Learning in Chaos and Information", Colin Grudzien (University of Nevada in Reno, USA)

Course 9: "Tutorial on Data Assimilation: Coding and Experiments", Ali Aydogdu (CMCC, Italy)

Course 10: "Fossil Fuel Economies: Impacts on the Environment and on Society", Maria-Rita Rosaria D’ORSOGNA (California State University at Northridge, USA)

Website of the school

How to participate

For registration and application to a CIMPA financial support, follow the instructions given here

Deadline for registration and application: April 25, 2021