Many countries and subnational jurisdictions are constructing REDD+ reference levels for carbon stores and fluxes in forests and other land uses. This course will provide students with the skills needed to build statistically rigorous REDD+ reference levels and terrestrial carbon accounts that can be eligible for pay-for-performance funding. The course will follow the IPCC Good Practice Guidelines and help students learn and master World Bank Forest and Carbon Partnership Facility methodological guidance on REDD+ reference levels.
• Overview and background on statistics
• REDD+ reference levels
• Intergovernmental Panel on Climate Change Good Practice Guidelines
• World Bank Forest and Carbon Partnership Facility Methodologies
• Land use classes, activity data and emissions factors
• Uncertainty, error propagation, Monte Carlo simulations
• Confidence intervals, normal distribution, central limit theorem
• R programming introduction
Students are encouraged to bring their own data to receive individualized training and support for building credible REDD+ reference levels that include uncertainty and error propagation. Instructors will provide templates for students to compute their own statistically rigorous reference levels that can be shared with domestic and international policy communities. There are no prior math or statistics requirements for the course and students will be provided with review materials in advance.
Successful students will receive a Certificate in Terrestrial Carbon Accounting Statistics from the Centre for Climate Risk and Opportunity Management, the Greenhouse Gas Management Institute and the Carbon Institute.
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