Workshop on Climate Data and Seasonal Forecast Analysis Techniques | (smr 3691)
Starts 11 Jan 2023
Ends 29 Mar 2023
Central European Time
An ICTP virtual meeting
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.
Open the page https://openedx.ictp.it/ in a browser, and click to sign in or register using the buttons in the top right hand corner. Once you have done this, click on the course "Climate Data Analysis" and then click to enroll. The first part of the course is divided into 5 chapters, with each lesson consisting of either a short youtube instructional video and/or a longer expert's lecture. Most modules also contain a small text explanation along with a short exercise to complete. At the end of section 4 and 5 there are several "projects" to complete with are more involved in nature and require you to put together several of the techniques acquired in the earlier videos.
The exercises are worth 20% of the total mark, the remainder is from the projects. Note that the exercises allow infinite attempts, but for the project you are limited to THREE attempts only. The pass grade for the course is 50%. On completion of the exercises and projects, certification is awarded automatically if you have achieved the pass grade. Note, that there is no certificate of attendance for this course.
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
A. ABID, ICTP, Italy
A. BENEDETTI, ECMWF, UK
S. BORDONI, University of Trento, Italy
C. BUONTEMPO, Director of Copernicus Climate Change Service (C3S) at ECMWF, UK
E. DUTRA, IPMA, Portugal
F. KUCHARSKI, ICTP, Italy
T. MCNALLY, ECMWF, UK
V. THOMPSON, KNMI, Netherlands
A. TOMPKINS, ICTP, Italy