Climate Data and Seasonal Forecast Analysis Techniques | (smr 3691)
Starts 21 Nov 2022
Ends 16 Dec 2022
Central European Time
A collaboration with UNESCO, this online workshop will outline how to access and process gridded climate data.
Based on the eDX open-learning platform, the course will take the form of a series of pre-recorded, video-based lectures, each one focussed on a specific topic outlined below, with related exercises. The course assessment will consist of two larger assignments, which are assessed automatically. The successful completion of the assignments will lead to course certification. Once a week, the lecturer will be available for an interactive tutorial sessions to help with issues related to the course.
In this initial release of this course the focus is on basic analysis techniques of reanalysis and climate data, the extension to sub-seasonal and seasonal prediction will be contained in part 2 which will follow in 2023.
Accessing state-of-the-art reanalysis climate data from the Copernicus Climate Data store
Extracting data for specific areas and locations
Calculating spatial and temporal statistics and anomalies
Calculating derived variables and indices for extreme weather and heatwaves.
Making your own ENSO and Indian-Ocean Dipole indices
Calculating the impact of ENSO on weather in your region of interest