This is a website for an H2020 project which concluded in 2019 and established the core elements of EOSC. The project's results now live further in

ENES Climate Analytics Service

Real Use Case Session: the ENES climate analytics service

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.

ECAS training in 3rd ENES Workshop on Workflows

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

ECAS Training Repositories

Repository for training/demo materials

ECAS_notebooks: Time_series_extraction

This notebook calculates the time series extraction

ECAS_notebooks: Time_series_difference

This notebook calculates the time series difference

ECAS_notebooks: Subsetted_map

This notebook computes subsetted_map

ECAS_notebooks: Daily_Temperature_Range

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

ECAS_notebooks: Tropical+Nights.ipynb

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)

ECAS_notebooks: Summer+Days.ipynb

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