Science of the Total Environment 524–525 (2015) 32–39 Contents lists available at ScienceDirect Science of the Total Environment journal homepage: www.elsevier.com/locate/scitotenv Atmospheric conditions associated with extreme fire activity in the Western Mediterranean region Malik Amraoui a,b,⁎, Mário G. Pereira c,b, Carlos C. DaCamara b, Teresa J. Calado b a b c Universidade de Trás-os-Montes Alto Douro, UTAD, Escola de Ciências e Tecnologia, Quinta de Prados, 5000-801 Vila Real, Portugal University of Lisbon, Instituto Dom Luiz (IDL), Lisbon, Portugal Centro de Investigação e de Tecnologias Agro-Ambientais e Biológicas, CITAB, Universidade de Trás-os-Montes e Alto Douro, UTAD, Quinta de Prados, 5000-801 Vila Real, Portugal H I G H L I G H T S • • • • • West Iberia (WI) and North Africa are the sub-regions most affected by fires. Fire annual cycle has a main peak in August and secondary peak in March over WI. Extreme fire activity episodes are identified in both summer and winter seasons. Extreme fire episodes occur in 5% of days but represent 22% of total fire pixels. Fire occurs under similar weather conditions but different circulation patterns. a r t i c l e i n f o Article history: Received 23 February 2015 Received in revised form 10 April 2015 Accepted 10 April 2015 Available online xxxx Editor: D. Barcelo Keywords: Fire pixels Extreme fire activity MODIS Fire weather Atmospheric circulation patterns Mediterranean a b s t r a c t Active fire information provided by TERRA and AQUA instruments on-board sun-synchronous polar MODIS platform is used to describe fire activity in the Western Mediterranean and to identify and characterize the synoptic patterns of several meteorological fields associated with the occurrence of extreme fire activity episodes (EEs). The spatial distribution of the fire pixels during the period of 2003–2012 leads to the identification of two most affected sub-regions, namely the Northern and Western parts of the Iberian Peninsula (NWIP) and Northern Africa (NAFR). The temporal distribution of the fire pixels in these two sub-regions is characterized by: (i) high and non-concurrent inter- and intra-annual variability with maximum values during the summer of 2003 and 2005 in NWIP and 2007 and 2012 in NAFR; and, (ii) high intra-annual variability dominated by a prominent annual cycle with a main peak centred in August in both sub-regions and a less pronounced secondary peak in March only evident in NWIP region. The 34 EEs identified were grouped according to the location, period of occurrence and spatial configuration of the associated synoptic patterns into 3 clusters (NWIP-summer, NWIP-winter and NAFR-summer). Results from the composite analysis reveal similar fire weather conditions (statistically significant positive anomalies of air temperature and negative anomalies of air relative humidity) but associated with different circulation patterns at lower and mid-levels of the atmosphere associated with the occurrence of EEs in each cluster of the Western Mediterranean region. © 2015 Elsevier B.V. All rights reserved. 1. Introduction Vegetation fires are an ecological disturbance occurring worldwide with climatological, social and economic impacts at the global, regional and local scales (Le Page et al., 2008; Oom and Pereira, 2013). Fire disturbance was classified as an “essential climate variable” by the Global Climate Observing System that has highlighted the need for long data ⁎ Corresponding author at: Universidade de Trás-os-Montes e Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal. E-mail addresses: [email protected] (M. Amraoui), [email protected] (M.G. Pereira), [email protected] (C.C. DaCamara), [email protected] (T.J. Calado). http://dx.doi.org/10.1016/j.scitotenv.2015.04.032 0048-9697/© 2015 Elsevier B.V. All rights reserved. time series to quantify the links between climate and fire (GCOS-107, 2006). In terms of accuracy and reliability, satellite information is an especially appropriate tool to monitor fire activity at the global level (Justice and Korontzi, 2001). This is mainly due to the spatial and temporal homogeneity of remote-sensed data and to its independence from fire policies of the different countries (Pereira et al., 2011; Amraoui et al., 2013). During the last decades several fire detection algorithms were developed using remote sensed data obtained from different sensors on board polar orbiters (Dwyer et al., 2000; Stroppiana et al., 2000; Justice et al., 2002; Giglio et al., 2003; Arino et al., 2005) or geostationary satellites (Prins and Menzel, 1992; Calle et al., 2006; Roberts and M. Amraoui et al. / Science of the Total Environment 524–525 (2015) 32–39 Wooster, 2008; Amraoui et al., 2010). In this context, the MODIS active fire product (Justice et al., 2002) is especially appropriate in climatological studies since it provides consistent daily information about fire activity, at 1 km resolution over a period of 10 years (2003–2012) (Csiszar et al., 2005; Oom and Pereira, 2013). The Mediterranean basin is struck by a large number of devastating fire events that burn hundreds of thousands of hectares of forests, shrub and grasslands every year (Barbosa et al., 2007), with dramatic consequences for ecosystems and population (Pereira, 1999). The western part of the Mediterranean basin which includes the Iberian Peninsula, Southern France and Sardinia in Europe and Northern parts of Morocco, Algeria and Tunisia in North Africa has been the most affected by vegetation fires in the last decades (Schmuck et al., 2013). In the Mediterranean region fire ignition is strongly conditioned by human behaviour and socioeconomic activities (Costa et al., 2010) but natural factors like the morphology of the landscape, land use, land cover, and meteorological conditions have also to be taken into account (Amraoui et al., 2013). In particular, weather and climate have a profound influence at all stages of biomass burning from ignition, spread and behaviour up to severity and effects (Benson et al., 2009). The vast majority of burned area in Mediterranean regions is due to a reduced number of extreme events that occur during a short period of time, and are associated with several atmospheric processes interacting at different temporal and spatial scales (Pereira et al., 2005). Particular attention is therefore to be devoted to fire activity associated with extreme events and to the roles played by climate and weather on such extreme events. In two previous studies, the authors used composite analysis of meteorological fields to identify and characterize the synoptic patterns associated with large fire episodes. The first study (Pereira et al., 2005) focused on summer fire activity in Portugal in 1980–2000 and relied on the official Portuguese database of burned area based on in situ observations. The second study (Amraoui et al., 2013) focused on Italy and Greece in summer 2007–2009 and was based on active fire detections by Meteosat-8, a geostationary satellite operated by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). As mentioned above, these two studies focused on the extreme fire activity events that occurred only during the summer season. In addition and regarding to the first case, the study relied on the largest fire database in Europe based on ground observations which is not usually available for several regions around the Mediterranean basin, while the second study is based on geostationary remote sensing data which present low spatial resolution over the region (Pereira et al., 2011; Amraoui et al., 2013). In this sense, the novelty of this study is to (i) extend the similar rationale to the detection and characterization of extreme fire episodes throughout the year and to expand the analysis to North Africa; and, (ii) use the MODIS dataset which is particularly useful to characterize fire activity at the regional scale (Western Mediterranean basin) thanks to its highest spatial resolution and relatively longterm database. In this context, the specific aims of the study are to (i) characterize the spatial and temporal distribution of fire pixels over Western Mediterranean during the 2003–2012 period including the identification of extreme fire episodes throughout the year; and, (ii) assess the meteorological conditions associated with identified extreme episodes based on the analysis of the atmospheric fields of mean sea level pressure, geopotential, wind, air temperature and relative humidity. 2. Data and methods 2.1. Fire and meteorological data Information about active fires was extracted from the MCD14ML Collection 5 active fire product which relies on MODIS imagery data (Justice et al., 2002). The dataset covers the 10-year study period, 33 from January 2003 to December 2012. Fire detection is performed using a contextual algorithm that exploits the strong emission of midinfrared radiation from fires and is based on brightness temperatures derived from the 3.9 and 10.5 μm channels (Giglio et al., 2003). Meteorological information was derived from the ERA-Interim dataset, the most recent global atmospheric re-analysis product of the European Centre for Medium-Range Weather Forecasts (ECMWF). Detailed information about the product may be found in Dee et al. (2011). Extracted information covers the 30-year period (1983–2012) and consists of daily fields at 12 UTC, with a spatial resolution of 0.75° × 0.75° lat-lon, over the Western Mediterranean sector (30°W– 20°E, 20°N–60°N) of the following meteorological variables: ▪ ▪ ▪ ▪ mean sea level pressure (hereafter MSLP); air temperature at 2 m height (hereafter T2m); wind speed and direction at 10 m (hereafter W10m); air temperature, geopotential height and relative humidity at 850 hPa which corresponds to about 1500 m of altitude (hereafter T850, Z850 and RH850, respectively); ▪ geopotential height at 500 hPa, in the mid atmosphere, at about 5 000 m of altitude (hereafter Z500). 2.2. Analysis of extreme fire activity episodes The identification of a given extreme episode (hereafter referred to as EE) of fire activity in a given region is defined based on the following criteria: the episode should consist of at least 3 consecutive days, each day having a minimum of 10 fire pixels over the region and each day ranking first in number of fires among the respective 10 records for that day of observations (covering the study period 2003–2012). The role played by the meteorological conditions during EEs over a given region is assessed by analysing the associated patterns of meteorological fields at different levels. Analysed patterns are anomaly composites, consisting of arithmetic means (performed over all days associated with EEs) of daily departures of 12 UTC meteorological fields from the respective average for that day over the reference period (1983–2012). The statistical significance (p-value) of obtained anomalies in each grid point was evaluated by bootstrapping (Efron and Tibshirani, 1993). Anomaly fields are plotted only when statistically significant at 0.999 level, i.e. when values are higher (lower) than the 99.9th (0.1th) percentile if positive (negative). 3. Results 3.1. Fire activity in the Western Mediterranean region During the 10-year study period (2003–2012), a grand total of 126 887 fire pixels (all data used) were detected over the study area (Fig. 1). The spatial distribution of fire pixels suggests defining two sub-regions of high fire activity. The first sub-region (hereafter referred to as NWIP) covers the Northern and Western parts of the Iberian Peninsula and accounts for 57% of the grand total of fire pixels. The second region (hereafter referred to as NAFR) spreads over Northern Africa and South-Eastern Iberia and contributes to 40% of the grand total. The vast majority of fire pixels occur from May to October, and account for 82% and 91% of the total number observed in NWIP and NAFR, respectively. The temporal distribution of fire pixels reveals high inter-annual variability (Fig. 2, upper panel), with 43% of the total number occurring in three years, i.e. 13% in 2003, 15% in 2005 and 15% in 2012; 2008 is the year with the lowest fire activity, representing just 5% of the grand total. The contribution of NWIP to the grand total is larger than that of NAFR in seven out of the 10 years analysed. The contribution of NWIP to the total fire pixels each year is especially high in 2003 and 2005, reaching 34 M. Amraoui et al. / Science of the Total Environment 524–525 (2015) 32–39 Table 1 Extreme episodes (EEs) characteristics. The list of features includes: starting date, ending date (Day/Month/Year), number of fire pixels, and the ratio between observed (OFP) and expected (EFP) daily mean number of fire pixels in each month. OFP corresponds to the daily mean number of fire pixels during the EEs. EFP is the daily mean of fire pixels after removing the number of fire pixels during the EEs. The 34 EEs are located in the abovementioned two sub-regions: NWIP (31 episodes: 18/13 in summer/winter periods) and NAFR (3 episodes during summer). NWIP summer Month Starting date Ending date N. fire pixels Fire pixels ratio May 11/05/03 29/05/06 02/05/09 19/06/03 13/06/04 07/06/05 04/06/06 25/07/04 08/07/05 20/07/05 02/08/03 19/08/05 06/08/06 12/09/03 26/09/04 02/09/12 11/10/11 20/10/11 01/11/07 22/12/05 27/01/08 24/01/11 08/01/12 30/01/05 13/02/05 17/02/05 21/02/12 19/03/09 09/03/12 26/03/12 02/04/12 28/06/12 15/07/05 27/08/07 14/05/03 31/05/06 05/05/09 21/06/03 17/06/04 10/06/05 06/06/06 28/07/04 13/07/05 22/07/05 04/08/03 23/08/05 12/08/06 16/09/03 30/09/04 04/09/12 18/10/11 22/10/11 14/11/07 24/12/05 29/01/08 26/01/11 11/01/12 03/05/05 15/02/05 19/02/05 02/03/12 25/03/09 12/03/12 01/04/12 06/04/12 01/07/12 17/07/05 30/08/07 98 91 86 277 308 235 177 1546 893 934 2495 3245 4632 1146 616 653 2021 276 651 54 46 44 56 85 103 65 748 831 332 936 211 922 684 2970 5 6 4 9 6 6 5 13 5 10 11 9 10 8 4 7 13 4 19 21 10 9 9 2 4 3 11 8 5 9 5 28 7 13 June July Fig. 1. Fire pixels over the Western Mediterranean region from January 2003 to December 2012. Coloured dots represent fire pixels belonging to extreme fire activity episodes grouped by year of occurrence; grey dots correspond to the remaining fire pixels. Boundaries of NWIP and NAFR sub-regions are also shown. August September 71% and 75% respectively, whereas NAFR contributes with 65% and 64% in 2007 and 2012. There is also a prominent annual cycle of fire activity, showing a peak in August that accounts for 36% and 41% of the grand total of fire pixels detected in NWIP and NAFR, respectively. A secondary peak is also observed in March in the case of NWIP, which represents about 8% of fire activity in that sub-region. Despite the similar annual cycles of fire activity obtained (Fig. 2, bottom panel), the two sub-regions are differently affected by EEs, in number of events, time of the year and year of occurrence (Table 1). A total of 31 episodes were identified in NWIP, 18 in May–October and the remaining 13 in November–April; 3 episodes were identified in NAFR, all of them occurring in summer (June–August). Differences between NWIP and NAFR are also apparent when restricting the analysis to the spatial distribution of fire pixels associated with EEs (Fig. 1), and 2003, 2005 and 2006 are conspicuous over NWIP, whereas 2005, 2007 and 2012 dominate over NAFR. Although representing just 4.5% of the days covered by the study period, the number of days associated with EEs accounts for 28 467 of the fire pixels, representing 22% of the grand total. The latter amount is distributed as follows by region and time of the year: 69% results from the contribution of the 18 episodes in NWIP in May–October; 15% from the Fig. 2. Inter-annual (upper panel) and intra-annual (lower panel) variability of fire activity over NWIP and NAFR. The used data in the figure refers to all fire pixels detected over the study region during the 2003–2012 period and includes fire pixels associated with EEs. October NWIP winter November December January February March NAFR April June July August 13 episodes in NWIP in November–April; and the remaining 16% from the 3 episodes in NAFR that occurred in June 2012, July 2005 and August 2007. In the case of NWIP, the years of 2005, with 8 events, presents the largest number of extreme episodes and is followed by 2012 with 5 Fig. 3. Number of EEs per year (upper panel) and per month (lower panel) counted during the 2003–2012 period for NWIP sub-region. M. Amraoui et al. / Science of the Total Environment 524–525 (2015) 32–39 EEs (Fig. 3, upper panel). No EEs were observed in 2010 and only 1 episode was observed in 2007. Although EEs in NWIP are evenly distributed between the two considered periods of the year (i.e. 18 in May– October and 13 in November–April) (Fig. 3, lower panel) they are responsible for a very different amount of fire pixels (i.e. 19 729 and 4162, respectively). However EEs in both periods account for one third of total fire pixels in the respective periods (i.e. 59 418 and 12 765, respectively). 3.2. The atmospheric conditions associated with extreme fire activity episodes Results obtained in the previous section suggest performing an assessment of the role played by meteorological conditions on the onset and spreading of fire events in the Western Mediterranean. An exhaustive analysis of the composites and anomaly fields of all meteorological variables listed in Section 2.2 was performed for each day of the 34 EEs. A total number of 476 (=7 meteorological variables × 2 statistics × 34 EEs) plots were produced and analysed. Composites and anomaly composites fields of meteorological variables obtained for all days of extreme fire activity in each sub-region and season will be presented (Figs. 4–6). Each plot includes results obtained for more than one meteorological field and, for each cluster, two figures of composites and two other figures of anomalies are presented. Two plots respect to meteorological fields near the surface (T2m, MSLP and W10m) and the other two at 500 hPa and 850 hPa levels (Z500 and RH850). 35 3.2.1. NWIP during summer (May to October) The prevailing synoptic conditions at the surface (Fig. 4, upper left panel) and at 850 hPa (not shown) are characterized by an amplification of the anticyclone of Azores, extending from the Atlantic to Central Europe and by a sub-Saharan thermal low centred at South Algeria. This circulation pattern leads to strong North-Eastern and South-Eastern advections of continental dry and warm air, locally known as Soão winds, resulting in high average surface air temperatures (above 36 °C in some episodes) together with extreme values of relative humidity (as low as 15%) over Western Iberia. Associated anomalies (Fig. 4, right panels) reach values as large as 4 °C in surface temperature (exceeding 10 °C in some events) and as low as − 20% in relative humidity at 850 hPa (lower than −40% in several episodes). Composites of the atmospheric flow at 500 hPa (Fig. 4, lower left panel) reveal synoptic baroclinic activity with a pronounced ridge with axes in the Southeast to Northwest direction over the Atlantic Ocean and West of Iberia, forcing warmer and drier air mass into the NWIP sub-region. The 500 level composite anomaly patterns (Fig. 4, lower right panel), exhibit positive departures of 120 gpm enhancing the subsidence of air into the Troposphere, reinforcing the increase of air temperature through adiabatic heating at lower levels. 3.2.2. NWIP during winter (November to April) The overall synoptic configuration presents similarities with the one of NWIP during summer where due to the high Northwest-Southeast gradient of geopotential height, both at surface and at upper levels, the atmospheric circulation is dominated by: (i) North and North- Fig. 4. Composites (left panels) and anomaly composites (right panels) for the EEs over the NWIP sub-region during summer period (May–October) of air temperature (°C) at 2 m (T2m), mean air pressure (hPa) at sea level (MSLP), wind speed (m·s−1) and direction at 10 m (W10m) (upper panels), relative humidity (%) at 850 hPa level (RH850) and geopotential height (gpm) at 500 hPa (Z500) (lower panels). Anomalies are only plotted for statistically significant values at the 99.9% level. 36 M. Amraoui et al. / Science of the Total Environment 524–525 (2015) 32–39 Fig. 5. As in Fig. 4, but respecting the EEs over the NWIP sub-region during winter period (November–April). Eastern advection of continental dry air over Western France, Western and Northern Parts of Iberia, and North of Morocco and; (ii) NorthWestern advection of wet air over North-Western Algeria, Tunisia and Italy. These patterns are a consequence of anticyclonic blocking activity over Eastern Atlantic defined as persistent and quasi-stationary synoptic-scale high pressure systems, often accompanied by low pressure systems at lower latitudes, which interrupt the zonal flow and the eastward progression of synoptic systems (Dunn‐Sigouin and Son, 2013). The blocking pattern is conspicuous in the composite of MSLP (Fig. 5, upper left panel) and it may be noted that the anticyclone evolves with height into a predominant omega pattern located west of Europe, constituted by a very strong high-pressure ridge located on the Central Atlantic and flanked by two troughs (Fig. 5, lower left panel). The region covered by the omega block pattern experiences dry weather for an extended period of time and therefore prolonged droughts (García-Herrera et al., 2007). The anomalous circulation patterns at the 500 hPa level are dominated by positive departures of Z500 reaching the impressive value of about 210 gpm (Fig. 5, lower right panel) west of the British Isles. Anomalies of meteorological fields (Fig. 5, right panels) reveal smaller values of T2m (2 °C) than for summer EEs but higher values of RH850, lower than − 30% (reaching − 60% in some of the cases). 3.2.3. NAFR during summer (May to October) The atmospheric circulation at the surface over Northern Algeria and Tunisia, is dominated by an intense Southerly/South-Easterly advection of very hot and very dry Saharan air, brought to the region by the anticyclonic circulation, centred over Italy, and the cyclonic flow, due to the presence of a Saharan heat low centred over South-Western Algeria and to the Atlas Low located in Central Morocco (Fig. 6, upper left panel). The mentioned advection process may be identified as the wellknown Shergui (in Morocco) or Chili (in Algeria) winds that may occur primarily from February to September with peak occurrences from July to August. The regions under the influence of these winds experience extreme dryness and heat with extensive dust and haze layers aloft (Donahue et al., 1996). The surface circulation patterns over South-Eastern Spain are dominated by the convergence of: (i) the abovementioned very hot and dry Southerly winds from North Africa, named Leveche in Spain; and (ii) Easterly wind steered by the anticyclonic circulation over the Atlantic, that become warmer and drier as it crosses the Iberian Peninsula. It may be noted that the more general term for Shergui, Chili and Leveche winds is the Scirocco. The associated high departure values of air temperature (above 8 °C) obtained in both T2m (Fig. 6, upper right panel) and T850 (not shown), and very low anomaly values of relative humidity at 850 hPa reaching the impressive value of − 40% (Fig. 6, lower right panel) are well apparent over this sub-region. The flow at the 500 hPa level (Fig. 6, lower left panel) is dominated by a pronounced ridge whose axis is directed from Southwest to Northeast, affecting Northern Algeria and Tunisia and bringing warmer and drier air mass to the region. The air subsidence associated with this ridge further contributes to the increase of air temperature throughout adiabatic heating at low levels. M. Amraoui et al. / Science of the Total Environment 524–525 (2015) 32–39 37 Fig. 6. As in Fig. 4, but respecting the EEs over the NAFR sub-region during summer period (June–August). 4. Discussion and concluding remarks Due to its spatial and temporal homogeneity, accuracy and reliability, remote sensing data obtained by the MODIS radiometer on-board the polar-orbiter satellites, namely TERRA and AQUA, are especially suitable for monitoring vegetation fires (Justice and Korontzi, 2001; Oom and Pereira, 2013). In addition, the relatively long period of operability of the abovementioned satellites allows providing long and precise database at local, regional and even at global scales. Furthermore, the present study demonstrated that information on fire activity derived from these satellites is particularly useful for studying the extreme episodes of vegetation fires in the Iberian Peninsula and Northern Africa, particularly struck by this phenomenon. The spatial distribution of fire pixels detected by MODIS over the Western Mediterranean region during the 2003–2012 period (Fig. 1) reveals the existence of two sub-regions particularly affected by this natural hazard: the Western and Northern parts of Iberian Peninsula; and South-Eastern Iberia and Northern region of Algeria and Tunisia, in North of Africa. For each region, EEs were identified based on a criterion that requires a minimum of three consecutive days, each day requires to have a minimum of 10 fire pixels detected and having to rank first among the 10 records for that day in the study period (2003–2012). Instead of adopting a simple procedure where extreme events are identified as the largest ones recorded in the entire study period, or even at the annual scale, the criterion adopted allows identifying extreme events at daily scale throughout the year. While the former simple procedure would lead to the detection of the largest summer events mainly in Northwest Iberia, the criterion adopted in this study also allows unveiling other extreme episodes in other sub-regions and seasons, namely the existence of a secondary peak of fire activity in NWIP region at the end of the winter semester and high fire activity in North Africa. EEs were identified in all months of the year, February and June being the months that presented the higher frequency. The years of 2005 and 2012 were those presenting the highest number of EEs. The secondary peak of fire activity observed late winter and early spring in NWIP is essentially of anthropogenic nature, as fires are caused by land-use practices, negligence or even arson (Krawchuk and Moritz, 2014). Agricultural burnings are applied world-wide for soil fertilization, to prepare fields for harvest work and to dispose of crop residues (Yevich and Logan, 2003; Korontzi et al., 2006). Besides these human pyrogenic behaviours, weather conditions, at intra-seasonal scale, also play a crucial role on the fire activity by controlling fire ignition, fire spread and fire extinction (Le Page et al., 2010). Atmospheric patterns associated with EEs in the different subregions were characterized following a methodology previously validated for Portugal (Pereira et al., 2005; Trigo et al., 2013) as well as for Italy and Greece (Amraoui et al., 2013). Large fire activity in NWIP mostly results from the contribution of North-western Iberia, encompassing Northern Portugal and the Spanish region of Galicia. The atmospheric circulation associated with EEs is characterized by predominant easterlies crossing that advect continental air into the sub-region. During summer, the circulation is characterized by a predominant hot and dry flow from continental Europe and north Africa, contributing to values of air temperature (relative humidity) well above (below) average. During winter, the extremely low values of relative humidity are 38 M. Amraoui et al. / Science of the Total Environment 524–525 (2015) 32–39 the most conspicuous feature, which result from the anomalous Eastward circulation over the cold and dry Western Europe. The main drivers of the atmospheric circulation are nevertheless different in summer and winter. In the latter season, the mid Troposphere is characterized by a strong omega blocking configuration located west of Europe, enhancing the effect of the anticyclone over Western and Northern Iberia. In summer, the atmospheric configuration is dominated by a presence of an extended ridge over the North-Eastern Atlantic, associated with the Azores anticyclone, and to the occurrence of heat waves. In the case of NAFR, the atmospheric patterns associated with the occurrence of EEs during summer are dominated by South-Easterly very hot and dry Scirocco winds at the surface and by a pronounced ridge over Central Mediterranean at 500 hPa, advecting warm and dry air into the sub-region. The observed atmospheric circulation and the meteorological variables associated with the NWIP summer season EEs are in close agreement with the results of Pereira et al. (2005) and with the findings of Trigo et al. (2006). This fact validates the methodology adopted and proves the usefulness of the MODIS active fire data applied to such studies. Furthermore, this study also demonstrates that these patterns associated with typical summer EEs are not only limited to the three months of the referred season (June, July and August) but extend over a longer period of 6 months (May to October), corresponding to the dry season of the studied region. However, the novelty of this study is the identification of the atmospheric patterns associated with (i) NWIP winter EEs, extending from November to April; and (ii) North Africa summer EEs. In the first case, and as mentioned above, the extreme episodes of fire activity are the consequence of the anomalous Eastward circulation over the region which leads to long periods with no precipitation and extremely low values of relative humidity. In the second case, the occurrence of EEs is the result of the South-Eastern very hot and dry Saharan winds and a pronounced ridge over Central Mediterranean at 500 hPa. The latter atmospheric configuration is very similar to the one observed over the Balkan Peninsula and Italy when the two extreme events of fire activity, which struck the referred region during the summer of 2007, were analysed (Founda and Giannakopoulos, 2009; Amraoui et al., 2013). As in other regions of the globe, the intra- and inter-annual variability of fire activity is related to the type of climate (Fauria and Johnson, 2008; Benson et al., 2009; Costa et al., 2010; Drobyshev et al., 2012) and to the occurrence of extreme weather conditions (Fauria and Johnson, 2006; Cardil et al., 2011; García-Ortega et al., 2011). On the one hand, the temperate type of climate (Csa: temperate climate with hot and dry summer, Csb: temperate climate with warm and dry summer and Cfb: temperate climate without dry season and warm summer) of the Mediterranean basin (Peel et al., 2007) is characterized by wet and mild winters followed by warm and dry weather during summer, favouring the growth of vegetation during winter and springtime, followed by severe hydric and thermal stress during summer months (Lichtenthaler, 1996; Lindner et al., 2010; Pereira et al., 2013). On the other hand the most catastrophic fire events and, consequently the highest annual amounts of burnt area are associated with extreme atmospheric conditions (Pereira et al., 2005; Trigo et al., 2006; Good et al., 2008; Amraoui et al., 2013). However, there is not a cause–effect relationship between atmospheric conditions and fire activity in the sense that fire ignition in the Mediterranean region is mainly due to human activities (Ganteaume et al., 2012; San-Miguel-Ayanz et al., 2013). Instead, weather conditions during and before the fire events should be viewed as a primary factor of fire danger in this region because of their influence on fuel availability and vegetation hydric and thermal stress, particularly during severe regional summer heatwaves that are highly correlated with the occurrence of the most devastating fires in the Mediterranean (Lichtenthaler, 1996; Ciais et al., 2005; Trigo et al., 2006; Peñuelas et al., 2007; Lindner et al., 2010). In addition, like in many other ecosystems, a small number of large fires are responsible for the major fraction of total burned area in the Mediterranean biome (Strauss et al., 1989; Pereira et al., 2011). For this reason, knowing the spatial configuration of the meteorological fields associated with highest fire activity is of paramount importance for the planning of fire prevention activities and management of fire suppression resources. In this sense, the findings of this study can be used to improve projections of fire activity and forestry for the Western Mediterranean (Mouillot et al., 2002; Maracchi et al., 2005; Bowman et al., 2009; Dury et al., 2010; Pereira et al., 2013). Acknowledgments This work was supported by national funds by FCT — Portuguese Foundation for Science and Technology, under project PEst-OE/AGR/ UI4033/2014 and by project “SUSTAINSYS: Environmental Sustainable Agro-Forestry Systems” — NORTE-07-0124-FEDER-0000044. References Amraoui, M., DaCamara, C.C., Pereira, J.M.C., 2010. Detection and monitoring of African vegetation fires using MSG-SEVIRI imagery. Remote Sens. Environ. 114, 1038–1052. 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