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Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Seasonal predictability of summer fires in a Mediterranean environment

Raül Marcos A E , Marco Turco B , Joaquín Bedía C , Maria Carmen Llasat A and Antonello Provenzale D
+ Author Affiliations
- Author Affiliations

A Department of Astronomy and Meteorology, University of Barcelona, Avinguda Diagonal 647, 08028 Barcelona, Spain.

B Institute of Atmospheric Sciences and Climate (ISAC), National Research Council (CNR), Corso Fiume 4, 10133 Torino, Italy.

C Meteorology Group, Institute of Physics of Cantabria, Centro Superior de Investigaciones Científicas (CSIC) – Universidad de Cantabria, Avinguda Los Castros s/n, 39005 Santander, Spain.

D Institute of Geociences and Earth Resources (IGG), National Research Council (CNR), Via Moruzzi 1, 56124 Pisa, Italy.

E Corresponding author. Email: rmarcos@am.ub.es

International Journal of Wildland Fire 24(8) 1076-1084 https://doi.org/10.1071/WF15079
Submitted: 15 November 2014  Accepted: 28 July 2015   Published: 28 September 2015

Abstract

In this study we explore the seasonal predictability of summer wildfires in a Mediterranean region (north-eastern Spain), developing a multiple linear regression model with antecedent and current-summer drought indices (Standardised Precipitation Index; and Standardised Precipitation Evapotranspiration Index). This model is based on the assumption that large summer fires in Mediterranean environments are favoured by current-summer drought (proxy for the climatic factors that affect fuel flammability) and by antecedent wet conditions (proxies for the climatic factors influencing fine fuel availability and connectivity). We test three forecast systems based on (i) seasonal European Centre for Medium-Range Weather Forecasts (ECMWF) System-4 forecasts; (ii) persistence and (iii) climatology. These approaches are evaluated through a leave-one-out cross-validation over the period 1983–2012. The climatology forecast, which considers only antecedent wet or dry conditions with a time lag of 2 years, shows some amount of skill in simulating above- or below-normal summer fire activity. ECMWF System-4 proves to be of limited added value with respect to the climatology forecast. Finally, the persistence forecast, which is driven by antecedent conditions and drought conditions just before the start of the fire season, allows more satisfactory results (correlation of 0.49). The results suggest that long-term forecasts of above-normal burned area are feasible in Catalonia (north-eastern Spain), information that could be potentially applied also to other Mediterranean-type regions.

Additional keywords: Catalonia, drought, ECMWF System 4, regression model, seasonal forecast.


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