ECAS

This training event has been provided during Real Use Case sessions at the EUDAT CDI - PRACE Summer School in Trieste. It was divided into two main blocks: a first part concerning theoretical aspects of the scientific data management life cycle, EOSC, ECAS, ECASLab and the Ophidia framework; and a second more practical part concerning live demos about the main ECASLab features, as well as a series of guided Hands-on exercises about climate data management and analysis through Jupyter Notebooks.

Materials used during the ECAS training in 3rd ENES Workshop on Workflows workshop

Repository for training/demo materials

This notebook calculates the time series extraction

This notebook calculates the time series difference

This notebook computes subsetted_map

COMPUTE DTR, Daily temperature range: Monthly mean difference between TX and TN

This notebook aggregate the map

This notebook computes the Tropical Nights index: starting from the daily minimum temperature (1980-1990) TN, the Tropical Nights index is the number of days where TN > T (T is a reference temperature, e.g. 20°C)

This notebook computes the Summer Days index: starting from the daily maximum temperature (1980-1990), the Summer Days index is the annual count of days number of days where TX (daily maximum temperature) > 25°C