Research school: Mathematics of Climate Sciences
Location
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, blaise.tchapnda@aims.ac.rw)
Alberto CARRASSI (University of Reading (United Kingdom) and University of Utrecht (Netherlands), alberto.carrassi@nersc.no)
Scientific committee
Alberto CARRASSI (University of Reading (United Kingdom) and University of Utrecht (Netherlands))
Barry GREEN (AIMS Global Secretariat, Rwanda & South Africa)
Chris K.R.T. JONES (University of North Carolina in Chapel Hill, USA)
Valerio LUCARINI (University of Reading, United Kingdom)
Marc BOCQUET (ENPC, France)
Marie-Alice FOUJOLS (IPSL, France)
Scientific program
Course 1: "Dynamical systems -Introduction to the predictability of the atmosphere and climate", Stephane VANNITSEM (Royal Meteorological Institute of Belgium, Belgium)
Course 2: "Response and fluctuations in the climate systems", Valerio LUCARINI (University of Reading, United Kingdom)
Course 3: "A primer on data assimilation for the climate science", Alberto CARRASSI (University of Reading (United Kingdom) and University of Utrecht (Netherlands))
Course 4: "Geostatistics", Laurent BERTINO (NERSC, Norway)
Course 5: "Simple models of tropical dynamics", Amit APTE (ICTS, India)
Course 6: "Strategies for forecasting uncertain hazards in a changing climate", Elaine SPILLER (Marquette University, USA)
Course 7: "Climate prediction", François COUNILLON (NERSC, Norway)
Course 8: "Experimental learning in chaos and information", Colin Grudzien (University of Nevada in Reno, USA)
Course 9: "Data assimilation coding and experiments", Ali Aydogdu (CMCC, Italy)
How to participate:
Participate in a CIMPA School
All persons, except the lecturers, wishing to attend a CIMPA School are requested to register on the local web site of the school. People who require support to cover all or part of their costs of participation (travel and/or living expenses) can apply for a financial support from CIMPA on the web page:
Only the students and research teaching staff of an institution located in a developing country different from the country of the school are eligible to a financial support from CIMPA. Applications must be submitted before the deadline which is given on the CIMPA webpage of the school. Applications shall include a cover letter and two recommendation letters that will be sent electronically by the referees. Candidates are advised to complete their applications early enough and to ask the referees to send the letters long before the deadline. CIMPA will not assume responsibility for any last-minute application which cannot be completed due to technical reasons.
Applications to financial supports to participte in CIMPA Schools 2020 will open on June 3, 2019.
Deadline for registration and application: March 1st, 2020.