A joint initiative of World Meteorological Organization and CNR-IBE, with the collaboration of MeteoSwiss.
Learning and teaching about seasonal climate forecasts: a Mediterranean educational experience toward operational climate services. | Vieri Tarchiani et al. | Special Issue: 17th EMS Annual Meeting: European Conference for Applied Meteorology and Climatology 2017
What is it
T.O.P. Seasonal Forecast is a shared set of online resources to enhance knowledge in the theory of seasonal forecasting and operational use of seasonal climate forecasts.
The training materials
The goal of the online course is to allow seasonal climate forecast knowledge transfer to increase operational capabilities of the targeted users. It provides theoretical and practical set of knowledge on seasonal forecast and predictability models, climate and data analysis, forecast verification, and specific application of seasonal forecast for agriculture and water management.
The Training content
The course package includes model outline with learning objectives, case studies, in-depth studies, quizzes, structured bibliography, readings.
The Course Package is organized in modules where each module contains a group of lessons focusing a specific topic.
The T.O.P. Guide
for content adaptation.
This course is designed for forecasters and climatologists with knowledge on general meteorology as well as physical and dynamic meteorology.
The course package addresses National hydro-meteorological service staff members who wish to improve climate services competencies or to specialize in Seasonal Forecasting. TOP provides theoretical and practical knowledge on seasonal forecast and predictability models, climate and data analysis, forecast verification, and specific application of seasonal forecast for agriculture and water management.
Some of this content will be covered briefly in the context of offering more specific expertise in climate predictions.
This approach will provide learners with a personalised learning path based on their interaction with learning components, following the idea that it is more effective to take into account different levels and needs rather than “one size fits all”.
According to the Climate Services Competency Framework approved by the WMO Executive Council of June 2016, the training course addresses the Competency 3:
Create and/or interpret climate forecasts, climate projections and model output, and more specifically the following Performance Criteria.