Word Meteorologial Day 2023
The Future of Weather, Climate and the Water across generations.
The Future of Weather, Climate and the Water across generations.
A new paper has been published on arXiv about the statistical modelling of environmental risks using the AgrImOnIA dataset.
This page contains Milestones and Deliverables of the AgrImOnIA Project. Milestones are related to Work Packages (WP), see section progettoĀ to know more about WP.
The first Milestone (M1) is the Italian dataset. The dataset is the result of the collection and the harmonization of several different data across different dimensions: Air Quality (AQ), Weather (WE), Emissions (EM), Livestock (LI), Land (LA). The building process of the ItalianĀ Dataset is detailed in the companion paper (link). The Italian DatasetĀ is available from the Zenodo recordĀ (link)Ā under the name of “Agrimonia Dataset” along with supplementary files. The Italian Dataset includes the following Deliverables:
The second Milestone (M2) is theĀ German Dataset. This dataset is structured similarly to the Italian Dataset with the difference of the geographical region of interest: Lower Saxony (Germany) instead of Lombardy (Italy). The M2 includes the following Deliverables:
TheĀ German DatasetĀ is described by a report and a metadata table, both downloadable below:
In preparation
The fifth Milestone (M5) corresponds to the Work Package 7 “Communication”. It collects methods used by the AgrImOnIA team to explain the project, assess results, update followers on socials and other actions aiming to increase the visibility of the project itself and raise curiosity and expectations around it. M5 contains the following Deliverables:
At the end of the project a workshop will be held by the University of Bergamo where results from the AgrImOnIA project will be summarized and enriched with further considerations and future developments. The M7 includes the following Deliverable:
The Future of Weather, Climate and the Water across generations.
A new paper has been published on arXiv about the statistical modelling of environmental risks using the AgrImOnIA dataset.