During the summer season, the Italian territory is vulnerable to extended wildfres, whichcan have dramatic impact on human activities and ecosystems. Such wildfre events areusually associated with the presence of drought conditions and are generally more severe insouthern Italy, owing to the high temperatures and reduced precipitation that characterizethis geographical region. In this work, we discuss the statistical analysis of the burned area(BA) in Italy and build simple data-driven models linking BA to diferent climatic drivers, comparing the relevance of direct surface soil moisture information to that providedby drought indices such as the Standardized Precipitation Index and the Standardized Precipitation Evapotranspiration Index (SPEI). We show that considering surface soil moisturealone is sufcient to produce reliable out-of-sample predictions in a large part of the country. By contrast, SPEI allows for better model performances in the more arid regions.

Testing drought indicators for summer burned area prediction in Italy

Vissio Gabriele;Provenzale Antonello
2023

Abstract

During the summer season, the Italian territory is vulnerable to extended wildfres, whichcan have dramatic impact on human activities and ecosystems. Such wildfre events areusually associated with the presence of drought conditions and are generally more severe insouthern Italy, owing to the high temperatures and reduced precipitation that characterizethis geographical region. In this work, we discuss the statistical analysis of the burned area(BA) in Italy and build simple data-driven models linking BA to diferent climatic drivers, comparing the relevance of direct surface soil moisture information to that providedby drought indices such as the Standardized Precipitation Index and the Standardized Precipitation Evapotranspiration Index (SPEI). We show that considering surface soil moisturealone is sufcient to produce reliable out-of-sample predictions in a large part of the country. By contrast, SPEI allows for better model performances in the more arid regions.
2023
Istituto di Geoscienze e Georisorse - IGG - Sede Secondaria Torino
Istituto di Geoscienze e Georisorse - IGG - Sede Pisa
wildfires; climatic drivers; soil moisture; drought indicators; empirical models; fire prediction
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Descrizione: Testing drought indicators for summer burned area prediction in Italy
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/432298
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