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Dataset on Weather-related Disasters in Agriculture (WDA) in Italy 2005-2021
Antonella Pontrandolfi1, Roberta Alilla1, Flora De Natale1
1Council for Agricultural Research and Economics - CREA, Via della Navicella 2/4 00184 Rome, Italy.
A new geodatabase details agricultural weather disasters in Italy from 2005-2021. This dataset aids in assessing weather-related risks and analyzing extreme agrometeorological events.
Area of Science:
- Agricultural Science
- Climatology
- Disaster Management
Background:
- The Council for Agricultural Research and Economics (CREA) established an Observatory for Agricultural Meteorology and Climatology.
- A relational SQL geodatabase was created using official decrees on agricultural disaster declarations in Italy.
- Data originates from the "National Solidarity Fund for natural disasters in agriculture" (Italian law d.lgs. 102/2004).
Purpose of the Study:
- To create and publish a comprehensive dataset on weather-related agricultural disasters.
- To provide valuable data for agricultural risk assessment and agrometeorological analyses.
- To support research on the impacts of extreme weather events on agriculture.
Main Methods:
- Data compilation from official Italian Ministry decrees on disaster declarations.
- Creation of a relational SQL geodatabase managed by CREA.
- Extraction and publication of a dataset (2005-2021) in CSV format on the Zenodo repository with metadata.
Main Results:
- A publicly accessible dataset covering agricultural weather disasters from 2005 to 2021 is now available.
- The dataset includes various disaster types: drought, snow, frost, hail, heat stress, floods, heavy rain, tornadoes, and strong winds.
- The data is annotated with discovery and structural metadata for enhanced usability.
Conclusions:
- The published dataset facilitates improved weather-related risk assessment in agriculture.
- This resource supports agrometeorological studies on extreme weather events impacting crops and farming.
- The dataset will be periodically updated to ensure continued relevance and accuracy.
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