7th Workshop on Forest Fire Management - EARSeL, European ...
7th Workshop on Forest Fire Management - EARSeL, European ...
7th Workshop on Forest Fire Management - EARSeL, European ...
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34<br />
I - PRE-FIRE PLANNING AND MANAGEMENT<br />
ios. Most of them there were c<strong>on</strong>ducted at world level and some specific at<br />
USA level. In Europe several studies have been c<strong>on</strong>ducted at country level<br />
but no <strong>on</strong>e c<strong>on</strong>sidering the overall <strong>European</strong> Mediterranean regi<strong>on</strong> (EU-<br />
Med) (Portugal, Spain, southern France, Italy and Greece). The goal of this<br />
work is to use the results of statistical modelling of historical (1985-2004)<br />
m<strong>on</strong>thly burnt areas in EU-Med, as a functi<strong>on</strong> of m<strong>on</strong>thly weather data and<br />
derived fire danger indexes, and to analyse potential trends under present<br />
and future climate c<strong>on</strong>diti<strong>on</strong>s.<br />
2 - Dataset<br />
2.1 - EU fire statistic<br />
The fire data were extracted from the <strong>European</strong> <strong>Forest</strong> <strong>Fire</strong> Informati<strong>on</strong><br />
System (EFFIS) EU fire database. This database is a collecti<strong>on</strong> of EU member<br />
states of individual fire event records. For the five EU-Med countries the<br />
complete available time window expands from 1985 until 2004. The fire<br />
events are recorded at NUTS3 level (provinces) and aggregated at m<strong>on</strong>thly<br />
time frame.<br />
2.2 - Weather dataset<br />
Daily weather data, temperature, total precipitati<strong>on</strong>, air relative humidity<br />
and wind speed, were used to calculate Canadian <strong>Fire</strong> Weather Index (FWI)<br />
system comp<strong>on</strong>ents. The FWI system is a system of daily meteorologicalbased<br />
indexes designed for the Canadian forest but amply used and tested<br />
around the world, and also in EU. The success of this system is based <strong>on</strong><br />
his easy calculati<strong>on</strong> but also in the presence of sub-indexes which summarize<br />
the fuel moisture. It includes a litter moisture model (Fine Fuel<br />
Moisture Code - FFMC), an upper organic moisture model (Duff Moisture<br />
Code - DMC) and a deep organic or soil moisture model (Drought Code - DC).<br />
These codes directly influence the fire behaviour expressed by four indexes<br />
(Initial Spread Index - ISI, Build Up Index - BUI, <strong>Fire</strong> Weather Index - FWI,<br />
Daily Severity Rating - DSR).<br />
Meteorological variables were extracted from the <strong>European</strong> Centre for<br />
Medium Range Weather Forecast (ECMWF) ERA-40 (40 Years Re-Analysis)<br />
dataset to compute daily value of fire danger in Europe, with a resoluti<strong>on</strong><br />
of 1.25° for the period 1961 to 2002. The time series has been extended<br />
until 2004 with data from the MARS archive of the same ECMWF. The ECMWF<br />
dataset was manly divided in two time frames. The 1961-1990 was c<strong>on</strong>sidered<br />
as c<strong>on</strong>trol period and the 1985-2004 was used to built up the statistical<br />
model.<br />
Instead, the future weather c<strong>on</strong>diti<strong>on</strong>s were simulated by the regi<strong>on</strong>al climate<br />
simulati<strong>on</strong> model HIRHAM. The HIRHAM (Christensen et al., 1996) is