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
For more details, please visit the School website.