Call for Applications: The World Climate Research Programme (WCRP) School on Climate Prediction Across Timescales (travel support available for participants from South America and the Global South)
Closing Date: 30 September 2025
Call for Applications: The World Climate Research Programme (WCRP) School on Climate Prediction Across Timescales (travel support available for participants from South America and the Global South)
The World Climate Research Programme (WCRP) School on Climate Prediction Across Timescales will take place 23–27 February 2026 in Buenos Aires, Argentina. A limited amount of funding is available to support participants from South America and the Global South. Don’t miss your chance to apply for the World Climate Research Programme (WCRP) School on Climate Prediction Across Timescales!
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.
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 skills are expected, proficiency in Python is encouraged but not required.
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:
- Engage in group discussions and applied exercises with real (i.e. not synthetic) data.
- Gain new theoretical and technical skills
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 number 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
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