WCRP School on Climate Prediction Across Timescales
This edition of the school is on "Prediction Across Timescales: Predictability Assessment and Communication of Uncertainty for Applications in Environment and Society"
WCRP School on Climate Prediction Across TimescalesThis edition of the school is on "Prediction Across Timescales: Predictability Assessment and Communication of Uncertainty for Applications in Environment and Society"https://www.wcrp-esmo.org/activities/wcrp-school-on-climate-prediction-across-timescaleshttps://www.wcrp-esmo.org/activities/wcrp-school-on-climate-prediction-across-timescales/@@images/image-1200-f214e8cb12cb3e7bf3d44453417a01d8.svg
The school will take place on 23-27 February, 2026
Where
Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
Applications now open - apply here* by September 30th, 2025!
*You will need to create your profile on the ICTP platform to access the form.
About the School
Forecasts on sub-seasonal to inter-decadal timescales have a diverse range of applications in climate services, including disaster preparedness, and short- mid- and long-term planning. However, the complexity of methods, uncertainty assessment and ways to merge forecasts across timescales presents a significant knowledge and skill gap. The WCRP School on Climate Prediction Across Timescales aims to address these gaps, and it is, designed for early-career researchers and advanced students interested in the science and application of climate predictions. The school will offer foundational and advanced lectures in the mornings and interactive, hands-on lab sessions in the afternoons.
Have a look at the School concept note and draft programme here
Objectives and outcomes
Foster understanding of key concepts including predictability, forecast skill, sources of predictability, and cross-timescale interactions
Provide an overview of novel tools to determine the predictability and assess forecast skill.
Introduce emerging tools in machine learning and AI for forecasting.
Develop practical skills through interactive lab sessions focused on real data
Participants will:
Gain new theoretical and technical skills
Engage in group discussions and applied exercises with real (i.e. not synthetic) data.
Target Audience
The target audience of the school is: Graduate students and postdocs in atmospheric, climate, and data sciences; and junior researchers and professionals working in climate services or operational prediction.
Participants are expected to have a basic background in climate science, statistics, or a related field; basic programming experience is expected,proficiency in Python is encouraged. The school will be taught in English.
Total n. of participants: 30
Prospective Lecturers
Constantin Ardilouze, CNRM (Université de Toulouse, Météo-France, CNRS), France
Leandro Diaz, DCAO-CIMA-IFAECI (UBA-CONICET-CNRS-IRD), Argentina
Laurel Di Sera, ICTP, Italy
Leon Hermanson, MetOffice, UK
Debbie Hudson, Bureau of Meteorology, Australia
Kirsten Mayer, NSF NCAR, USA
William Merryfield, ECCC, Canada
Andrea Molod, NASA, USA
Ángel Muñoz, ICTP, Italy
Marisol Osman, DCAO-CIMA-IFAECI (UBA-CONICET-CNRS-IRD), Argentina
Yuhei Takaya, Meteorological Research Institute, Japan
Bimochan Niraula, ESMO IPO
The school is hosted and supported by the Universidad de Buenos Aires, CONICET – Universidad de Buenos Aires. Centro de Investigaciones del Mar y la Atmósfera (CIMA), and CNRS – IRD – CONICET – UBA Instituto Franco-Argentino para el Estudio del Clima y sus Impactos (IRL 3351 IFAECI).
The WCRP School on Climate Prediction Across Timescales is supported by the Abdus Salam International Centre for Theoretical Physics
