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1 2 Chapter 6 3 4 5 Cyclones in the Mediterranean Region: 6 7 Climatology and Effects on 8 the Environment 9 10 1 2 3 2 4 5 11 P. Lionello, J. Bhend, A. Buzzi, P.M. Della-Marta, S.O. Krichak, A. Jansa` , 6 7 8,9 9 12 P. Maheras, A. Sanna, I.F. Trigo, and R. Trigo 13 1 14 University of Lecce, Italy ([email protected]) 2 15 University of Bern, Switzerland ([email protected], [email protected]) 3ISAC-CNR, Italy ([email protected]) 16 4Tel Aviv University, Israel ([email protected]) 17 5INM Spain ([email protected]) 18 6University of Thessalonoki, Greece ([email protected])PROOF 19 7ARPA, Piemonte, Italy ([email protected]) 20 8Instituto de Meteorologia, Centro de Geofı´sica da, Universidade de Lisboa, 21 Portugal ([email protected]) 9 22 CGUL at University of Lisbon and Universidade Luso´fona Portugal (rmtrigo@ 23 fc.ul.pt) 24 25 26 27 28 29 6.1. Introduction 30 31 Cyclones represent the most important manifestation of the mid-latitude high- 32 frequencyUNCORRECTED variability, and play a fundamental role in the atmospheric large-scale 33 horizontal (and vertical) mixing and in modulating the air–sea interaction. 34 Cyclonic circulations, due to their frequency, duration and intensity, play an 35 important role in the weather and climate over the entire Mediterranean region 36 (Radinovic, 1987). A large spectrum of environmental variables and phenomena 37 are associated with cyclones in the Mediterranean region. Wind, pressure, 38 temperature, cloudiness, precipitation, thunderstorms, floods, waves, storm 39 surges, landslides, avalanches, air quality and even the fog and visibility in the 40 Mediterranean are influenced by the formation and passage of cyclonic 41 disturbances. Many phenomena are beneficial from the agricultural, hydrological File: {Elsevier}Lionello/Pageproofs/3d/N52170-Lionello-Ch006.3d Creator: / Date/Time: 5.11.2005/6:04pm Page: 313/358 ARTICLE IN PRESS
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42 and economical point of view. However, some of them are damaging and 43 occasionally disastrous (MEDEX, Jansa et al., 2001). 44 Cyclones are important when information more complete than that provided 45 by the average geopotential (or sea level pressure) field is required and when 46 aspects of the probability distribution characterizing the statistics of the atmo- 47 spheric circulation besides its average pattern are investigated. Consequently, 48 statistical analysis of cyclones is important especially for the ‘‘tails’’ of probability 49 distributions, that is the part characterizing extremes values of variables such 50 as precipitation, winds, waves, storm surges. The Mediterranean area, although 51 located to the south of the main Atlantic storm track that more directly affects 52 western and northern Europe, is quite frequently subjected to sudden events of 53 extreme and adverse weather, often having high social and economic impacts. 54 The morphology of the territory, with small and steep river basins and highly 55 populated, industrialized and tourist areas, makes the Mediterranean especially 56 sensitive to the impact of weather phenomena, especially heavy rain and con- 57 sequent flooding. A report (based on 10 years of data) prepared by the Munich 58 Reinsurance Company collects 166 cases of heavy rainfall and floods and 59 104 cases of strong wind and storms producingPROOF serious damages. The total 60 number of deaths is over 1,900 and the quantified economic losses are over 61 6,000 MEuro. These figures are certainly underestimates. For Spain alone, and 62 only in four years (1996–1999), the Programme of Natural Hazards of the 63 Spanish Directorate of Civil Defence reported 155 deaths by heavy rain and 64 flood events and 28 deaths by storms and strong winds (Jansa et al., 2001a) 65 in Greece according to the data published by the Hellenic Agricultural Insurance 66 Organization (ELGA) only for the year 2002 the economic losses due to heavy 67 precipitation, floods, hail and extreme winds were over 180 MEuro. Single 68 disastrous events have been recorded, such as the storm of 4 November 1966 69 which hit central and north eastern Italy, causing more than 50 deaths and 70 widespread, huge damages in the eastern Alps, Florence and Venice (where 71 the damage produced by the surge is estimated to be equivalent to 400 KEuros 72 present-day). Over the sea, significant wave height as large as 10 or 11 m are also 73 reportedUNCORRECTED in extraordinary storms, like the 10–11 November 2001 storm in the 74 Western Mediterranean, that produced the destruction of beaches and coastal 75 flooding in northern Mallorca (Gomez et al., 2002) and the big storm at the 76 end of December 1979, that seriously damaged the port of Oran (Algeria). 77 More examples can be found in the MEDEX list of selected cases, Jansa et al. 78 (2001a). A large portion of such severe weather-related events are associated 79 with cyclones in the Mediterranean (Jansa et al., 2001a). 80 Since the capability of climate models to reproduce intense cyclones and 81 extreme weather events is limited, it is necessary to determine the links 82 between their probability distribution and large-scale patterns or/and indices. File: {Elsevier}Lionello/Pageproofs/3d/N52170-Lionello-Ch006.3d Creator: / Date/Time: 5.11.2005/6:04pm Page: 313/358 ARTICLE IN PRESS
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83 The identification and analysis of the large-scale patterns associated to the 84 occurrence of cyclones is very important. In fact, as climate models are more 85 accurate in reproducing the large-scale structure of atmospheric circulation 86 than the statistics of cyclones and extreme events, the prediction of the behaviour 87 of large-scale patterns in future climate scenario could be a robust tool for 88 predicting changes in the intensity and characteristics of cyclones and extreme 89 events. 90 It is important to note that the link between the intensity of cyclones and 91 hazardous extreme events is not simple and different characteristics can be 92 involved as different impacts are considered. The intensity of circulation (winds), 93 precipitation (with consequent floods) and of the cyclone itself (measured as 94 the minimum value of the sea level pressure or the strength of the overall 95 associated circulation) are not necessarily related in a simple (linear) way. 96 An example is the disastrous flood which affected central and Northern Italy 97 during November 1966, characterized by very intense precipitation and high 98 winds, which but whose central minimum pressure was not remarkably low 99 (De Zolt et al., 2005). 100 Finally, Mediterranean cyclones have also an influencePROOF on regions outside their 101 region of origin. Radinovic (1987) suggests that cyclones in the Mediterranean 102 region influence the weather and climate further east in central Europe, in 103 countries such as Hungary, Romania, Ukraine and Russia, and in Asian areas, 104 like Syria, Iraq, Iran, Afghanistan or northern India. At the same time, besides 105 the large amount of cyclones entering the Mediterranean region from the middle 106 latitude storm track, there is evidence of a significant role played by tropical 107 cyclones, which can produce atmospheric circulation patterns advecting moisture 108 into the Mediterranean region and, occasionally, move into it during a later 109 stage of their life cycle after having experienced a transition to extratropical 110 systems (Pinto et al., 2001; Turato et al., 2004). 111 The introductory Section 6.1 of this chapter consists of Subsection 6.1.1 112 describing the evolution of research on cyclones in the Mediterranean region 113 and their role on climate. Section 6.2 describes the dynamics responsible for the 114 formationUNCORRECTED and evolution of cyclones in the Mediterranean region (Subsection 115 6.2.1), the datasets available for their analysis (Subsection 6.2.2) and the methods 116 for the identification of cyclones and the evaluation of the intensity of their 117 activity (Subsection 6.2.3). Section 6.3 describes the climatology of cyclones, 118 their characteristic spatial scales, seasonality, area and mechanisms of origin 119 (Subsection 6.3.1); the relation between cyclonic activity and large-scale 120 climate patterns (Subsection 6.3.2); and the observed trends (Subsection 6.3.3). 121 Section 6.4 describes the effects of cyclones on the Mediterranean environment; 122 it is divided into five subsections, describing their role on precipitation, winds, 123 storm surge, ocean waves and landslides. For each subsection, a description of File: {Elsevier}Lionello/Pageproofs/3d/N52170-Lionello-Ch006.3d Creator: / Date/Time: 5.11.2005/6:04pm Page: 313/358 ARTICLE IN PRESS
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124 the mechanism explaining the effects of cyclones on the specific phenomenon 125 is described, and climate trends are discussed. The concluding Section 6.5 126 summarizes the available knowledge on cyclones and on their effects in the 127 Mediterranean region. The outlook section 6.6 discusses the main open research 128 issues and subjects of ongoing and future research. 129 130 131 6.1.1. ‘‘Historical’’ Notes 132 133 Pioneering studies that include climatology of cyclones and cyclogenesis in the 134 Mediterranean (in the frame of hemispheric studies) are those by Pettersen (1956) 135 and Klein (1957). They are large-scale studies and show, at even this scale, that 136 the western Mediterranean is a distinct and very active area of cyclogenesis 137 and with frequent presence of cyclones in winter, in the northern Hemisphere. 138 These studies are based on hand-made analyses and subjective detection of the 139 cyclones. Subsequent studies, using the same techniques, were able to investigate 140 smaller scales, even including mesoscale features (Radinovic and Lalic, 1959; 141 Radinovic, 1978; Genoves and Jansa, 1989). The annualPROOF total number of cyclones 142 detected in the mesoscale studies (Radinovic, 1978 or Genoves and Jansa, 1989) 143 was, as expected, much larger than the number of cyclones found in larger 144 scale analyses. Since 1990 (Alpert et al., 1990), most of the studies on climatology 145 of the Mediterranean cyclones are based on objective analyses and objective 146 techniques aimed at detecting and tracking the cyclones, but there are also 147 studies based on mixed databases, subjective and objective, like Campins et al. 148 (2000). Several studies have focused on the characteristics of the cyclones in the 149 Mediterranean area, on their dynamics, locations, frequency and temporal 150 variability of cyclogenesis (Buzzi and Tosi, 1989; Tosi and Buzzi, 1989; Alpert 151 et al., 1990a,b; Trigo et al., 1999; Campins et al., 2000; Maheras et al., 2001, 2002, 152 Lionello et al., 2002). 153 A different category of studies have analysed the link between cyclones 154 and environment. Most studies have been focused on precipitation (Trigo et al., 155 2000; JansaUNCORRECTED et al., 2001; Kahana et al., 2002; Maheras et al., 2002, 2004), but also 156 other aspects such as storm surges, (Trigo and Davies, 2002; Lionello, 2005), 157 and wind waves (Lionello et al., 2002) have been considered. 158 The impact of extreme weather conditions on landslides occurrence has been 159 attempted over different areas of the Mediterranean. Recent techniques tend to 160 favour the use of satellite and airborne imagery to assess changes in geomorphol- 161 ogy. However the use of historical data obtained form in situ analysis plus 162 local newspapers and interviews is a more reliable tool to establish precise links 163 between the timing of intense rainfall events and concurrent observed landslide 164 episodes (e.g. Zeˆ zere et al., 1999; Polemio and Petrucci, 2003; Trigo et al., 2005) File: {Elsevier}Lionello/Pageproofs/3d/N52170-Lionello-Ch006.3d Creator: / Date/Time: 5.11.2005/6:04pm Page: 313/358 ARTICLE IN PRESS
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165 6.2. Mediterranean Cyclones: Data, Methods and Dynamics 166 167 This section contains a description of the dynamics responsible for formation 168 and evolution of cyclones in the Mediterranean region, and of data and metho- 169 dologies used for analysing their climatology. 170 171 172 6.2.1. Dynamics of Cyclones in the Mediterranean Region 173 174 The cyclones in the Mediterranean region represent a well-distinct element of 175 the global climate. A Mediterranean storm track structure has been put into 176 evidence in different studies and it has been shown that the regular cyclone tracks 177 over the Mediterranean are linked to the baroclinic waveguides (Wallace et al, 178 1988) and to high rate of alternation between cyclones and anticyclones 179 (Pettersen’s, 1956) in the Mediterranean region (Alpert, 1989). The presence of 180 a separate branch of the Northern Hemisphere storm track crossing the 181 Mediterranean region, with areas of more frequent cyclogenesis in the western 182 Mediterranean and of cyclolysis in the central and easternPROOF Mediterranean, though 183 less intense than the storm track in the Atlantic and Pacific, has been confirmed 184 in recent analysis of the Northern hemisphere (Hoskins and Hodges, 2002). 185 At the same time, there are studies showing that the Mediterranean region 186 presents the highest concentration of cyclogenesis in the world (Pettersen, 1956; 187 see also Radinovic, 1987, for a general view) during the northern hemisphere 188 winter. Some of them are so intense that they are classified as ‘‘meteorological 189 bombs’’ (Conte, 1986; Homar et al., 2000). 190 According to the conceptual model re-proposed by Hoskins et al. (1985), 191 cyclogenesis occurs when and where a high-level PV (Potential Vorticity) positive 192 anomaly overlaps a low-level potential temperature or PV positive anomaly or a 193 frontal zone. The formation of low-level shallow depressions by orography and 194 thermal contrasts is very frequent in the Mediterranean, owing to the complex 195 topography of the region. Therefore hundreds of cyclonic disturbances can be 196 subjectivelyUNCORRECTED and objectively detected in the Mediterranean every year (Campins 197 et al., 2000; Picornell et al., 2001). Actually many of them are shallow depres- 198 sions which cannot be considered deep cyclones, but, they can play a role in 199 the initiation of actual deep cyclogenesis events. There are three kinds of 200 evolution that can be identified in the Mediterranean: (a) The low-level 201 disturbance does not evolve and remains shallow, weak or moderate and 202 nearly stationary if the upper level PV anomaly is absent or too far away to 203 interact with it (Genoves and Jansa, 1991). In this case real or deep cyclogenesis 204 does not develop. (b) An upper level PV anomaly will create cyclogenesis 205 when arriving over a frontal zone, just under the maximum PV advection at File: {Elsevier}Lionello/Pageproofs/3d/N52170-Lionello-Ch006.3d Creator: / Date/Time: 5.11.2005/6:04pm Page: 313/358 ARTICLE IN PRESS
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206 high levels, with or without the presence of a depression at low level. 207 Some Mediterranean cyclogenesis could be, at least partially of this type, 208 comprising those cyclones generated at the quasi-permanent Mediterranean 209 border front (Alpert and Ziv, 1989) or at some internal fronts. (c) The low-level 210 disturbance rapidly deepens and cyclogenesis occurs when the upper level 211 perturbation moves close enough to interact with it. 212 The Mediterranean region presents geographic factors that can substantially 213 modify the cyclogenesis mechanism. The orography of the region changes 214 quantitatively and qualitatively the baroclinic instability process, usually 215 favouring or ‘‘focusing’’ the cyclogenesis (Speranza et al., 1985). The high 216 frequency of orographically induced low-level disturbances may partially 217 explain the high frequency of real cyclogenesis in the Mediterranean (Genoves 218 and Jansa, 1991, Jansa et al., 1994). Latent heat release usually sustains 219 and intensifies most of the cyclogenesis processes. In the Mediterranean region, 220 this effect seems to be quite important in the Eastern Mediterranean, when 221 a Sharav cyclone arrives there from the desert and intensifies over the sea 222 (Alpert and Ziv, 1989). Some cases in the western Mediterranean also have 223 the same evolution (Homar et al., 2000). EnhancedPROOF baroclinic instability in 224 saturated air (Fantini, 1995) influenced by latent heat release in an environ- 225 ment convectively stable can be another process contributing to cyclogenesis. 226 In general, the role of latent heat release and diabatic processes is a key issue 227 in the Mediterranean region, though of secondary importance when intense 228 orographic cyclogenesis, both Alpine (Buzzi and Tibaldi; 1978; Dell’Osso and 229 Radinovic, 1984; Speranza et al., 1985; Tibaldi et al., 1990; Stein and Alpert, 230 1993; Alpert et al., 1995; Buzzi, 1997) or non-Alpine (Garcia-Moya et al., 1989), 231 takes place. 232 Such complicate dynamics and the potential for many different mechanisms 233 favouring cyclogenesis imply that extremely diversified classes of cyclones are 234 present in the Mediterranean region. A tentative list, based partially on the 235 mechanisms producing cyclogenesis and partially on the geographical character- 236 istics, would include lee cyclones, thermal lows, small-scale hurricane-like 237 cyclones,UNCORRECTED Atlantic systems, African cyclones and Middle East lows. 238 Lee cyclones are triggered by the passage of a major synoptic low-pressure 239 system north of the region, so that their generation is expected to be very sensi- 240 tive to the location of the storm track above Europe. Lee cyclones develop 241 south of the mountain ridges representing the northern boundary of the 242 Mediterranean region. The Gulf of Genoa is the region of most frequent intense 243 cyclogenesis in the Mediterranean, but lee cyclones are also generated in the 244 Adriatic Sea (Flocas and Karacostas, 1994; Ivanc¸an Picek, 1996), in the Cyprus 245 and Aegean Sea areas (Reiter, 1975; Alpert et al., 1990), in the Black Sea, and 246 File: {Elsevier}Lionello/Pageproofs/3d/N52170-Lionello-Ch006.3d Creator: / Date/Time: 5.11.2005/6:04pm Page: 313/358 ARTICLE IN PRESS
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247 in several areas of the western Mediterranean sea (Jansa, 1986). The passage of 248 the same synoptic system can be responsible for successive and distinct 249 cyclogenesis in the Gulf of Genoa, Aegean and Black Sea (Trigo et al., 1999). 250 The spatial distribution of the frequency of cyclogenesis presents relative 251 maxima in the Cyprus and Aegean region, in the Adriatic, in the Palos- 252 Algerian sea, in the Catalonian-Balearic sea, and in the Gulf of Lyons 253 (Jansa, 1986). 254 Thermal lows are more frequent in spring and summer and their genesis 255 and lysis are modulated by the daily cycle of temperature. Their occurrence is 256 therefore depending on the amplitude of this cycle and on the land–sea 257 temperature contrast. Many of them remain shallow depressions confined to 258 the lower troposphere. Modeling studies suggest that they are also generated 259 over sea in autumn and winter, when the land–sea temperature gradient is 260 reversed. 261 Small-scale, hurricane-like Mediterranean Lows have been detected over sea. 262 They are a special class of Mediterranean cyclones in which the main source of 263 energy is the great amount of latent heat released in large convective cloud 264 clusters, as in tropical cyclones (Rasmussen and Zick,PROOF 1987).They are likely to 265 depend critically on the air–sea temperature difference and on the content of 266 moisture in the atmosphere. 267 Atlantic systems mostly enter in the Mediterranean region from the west 268 and northwest, and cross the Mediterranean during their attenuation phase. 269 Even when their central pressure minimum does not pass directly above the 270 Mediterranean Sea, they affect the Mediterranean weather as they can cause 271 secondary lee cyclones. 272 Northern Africa is the source of many cyclones arriving from the south 273 which often form or intensify south of the Atlas Mountains as lee cyclones. 274 Their formation is more likely to occur in spring and summer when static 275 stability is low. 276 The classification of cyclones in the south-eastern Mediterranean region 277 includes several types of cyclones, with different seasonality and origin, such as 278 the CyprusUNCORRECTED Lows, Syrian Lows and Red Sea Troughs. The Cyprus Lows 279 are mostly orographically generated or strengthened. The Syrian low (Kahana 280 et al., 2002) is a particular type of the Cyprus low system so intense that 281 penetrates into some areas of Syria. The Red Sea trough system develops during 282 spring and autumn due to topographic effects in the Red Sea area. Usually 283 it is a warm and shallow trough with a very dry southeasterly flow, but torren- 284 tial rains occur when an upper cold air trough penetrates southwards 285 above it, due to the extreme instability in this situation (Krichak et al., 1997ab; 286 Krichak and Alpert, 1998) 287 File: {Elsevier}Lionello/Pageproofs/3d/N52170-Lionello-Ch006.3d Creator: / Date/Time: 5.11.2005/6:04pm Page: 313/358 ARTICLE IN PRESS
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288 6.2.2. Available Sets of Data 289 290 As mentioned before, pioneering studies on the climatology of cyclones in the 291 Mediterranean were based on hand-made subjective analyses. Due to their own 292 nature, the subjective analysis datasets are in general not available except in the 293 institutions where the analyses were prepared, and often not recoverable for 294 subsequent studies. The subjectivity has the advantage that a hand-made analysis 295 can be even more careful and detailed than objective analyses in some areas, 296 due to appropriate conceptual models and complementary information, etc. 297 At the same time, the subjectivity has the disadvantage of being not homo- 298 geneous, neither in space nor in time, because some areas and situations can 299 be systematically poorly or incorrectly analysed due to the lack of specific skill 300 and experience of the authors. In general, the quality of objective analyses has 301 improved to the point where their advantages outweigh those of the subjective 302 analyses. 303 The operational objective analyses are presently the main source of data for 304 performing a climatological analysis of cyclones, although the frequent changes 305 in the procedure (due to changes in the forecastingPROOF model, in its resolution, in the 306 data available for its initialization and in the data assimilation method) makes 307 the series quite temporally heterogeneous. Generally, only relatively short 308 samples of operational analyses are homogeneous and can be used for climatic 309 studies. In order to compensate for these inadequacies, homogeneous reanalysis 310 datasets, like ERA15, NCEP or ERA40, have been produced, though with 311 resolution which is coarser than most of the advanced operational analyses 312 (Gibson et al., 1996; Kalnay et al., 1996; Simmons and Gibson, 2000). These 313 homogeneous reanalysis data sets (ERA15, NCEP and ERA40) are the basis for 314 all climatological studies in general and for cyclones in particular. Without them, 315 it would be difficult or even impossible to obtain reliable fields of geopotential 316 or SLP needed for systematic analysis of trends and variability. 317 As a practical compromise, attempting to exploit both advantages of the 318 high resolution of recent operational analyses and of the homogenous multi- 319 decadalUNCORRECTED re-analyses, the MEDEX database contains lists of cyclones identified 320 both in operational analyses (HIRLAM/INM, over the Western Mediterranean, 321 and ECMWF over the whole Mediterranean) and reanalyses (ERA40). 322 Another dataset has been created to investigate the changes and variability 323 in SLP from 1850 as part of the EMULATE project (European and North 324 Atlantic daily to multi-decadal climate variability project). The dataset is a 325 combination of homogenized daily SLP station series, ship observations and 326 previously reconstructed SLP fields (Ansell et al., 2005). 327 The dataset consists of daily mean sea level data on a 5 5 grid, and it has a 328 lower spatial and temporal resolution than the reanalysis datasets. Though, File: {Elsevier}Lionello/Pageproofs/3d/N52170-Lionello-Ch006.3d Creator: / Date/Time: 5.11.2005/6:04pm Page: 313/358 ARTICLE IN PRESS
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329 obviously, it cannot detect mesoscale systems or accurately locate the areas of 330 cyclogenesis, this dataset allows the identification and tracking of synoptic-scale 331 cyclones in the Mediterranean region from 1850. 332 Extreme cyclones can also be identified by their effects which can be measured 333 or recorded. Instrumental data on surges, waves, floods, and winds can be used 334 for reconstruction of time series of past cyclones. A peculiar example is provided 335 by the records of storm surges in Venice, from past chronicle and archives. 336 The highest surges have been reported with a precision which is sufficient to 337 reconstruct the frequency of past floods since the 8th century AD (Camuffo, 338 1993). The time series shows a succession of periods of recurrent floods, which 339 were particularly intense in the first half of the 16th and of the 18th century, 340 separated by more quiet periods, and a continuous positive trend during the 341 second half of the 20th century. This last part of the time series is very accurate 342 since the tide gauge records have begun in 1872. This example represents the 343 limits and potential of such local reconstructions. On one side, they are a tool 344 for obtaining very long time series in historical times. On the other side, in general 345 it is very difficult to associate past variability to large-scale regimes and make 346 the distinction between large-scale and local processesPROOF (the soil subsidence in 347 this case) for which additional information is needed. Also the homogeneity of 348 the time series along its whole extent can be argued, as its reconstruction often 349 involves subjective criteria which need to account for the temporal changes in 350 the level of vulnerability of society, in human activities, resources and techno- 351 logical capability. Finally, it is difficult to attribute the cause of trends without 352 supplementary information. Though floods of Venice occurred many times 353 during its history, the last 50 years represent an unprecedented period of fre- 354 quent and intense events. However, this is largely explained by the local loss 355 of relative sea level (a combination of ground subsidence and sea level rise) not 356 associated to a trend of storminess (Lionello, 2005) 357 358 359 6.2.3. Methodology 360 UNCORRECTED 361 In recent years, two distinct approaches have been used to study the storm 362 activity over the North Atlantic and Europe: storm track algorithms and analysis 363 of synoptic variability. Usually, storm track algorithms apply sophisticated 364 methods that can detect the regions of storm development (cyclogenesis) and 365 decay (cyclolysis) as well as the specific paths of each individual storm (Murray 366 and Simmonds, 1991; Serreze et al., 1997; Trigo et al., 1999, 2002; Lionello 367 et al., 2002). Analysis of synoptic variability is a simpler approach, which 368 corresponds to the identification of the synoptic variability using a band- 369 pass filter that retains mainly variability on the 2–8 day period of SLP or 850 File: {Elsevier}Lionello/Pageproofs/3d/N52170-Lionello-Ch006.3d Creator: / Date/Time: 5.11.2005/6:04pm Page: 313/358 ARTICLE IN PRESS
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370 or 500 hPa geopotential (Buzzi and Tosi, 1989; Hoskins and Hodges, 2002). 371 This second approach has been widely applied to quantify the synoptic activity 372 associated with a high and low NAO (North Atlantic Oscillation) index 373 (e.g. Rogers, 1997; Ulbrich and Christoph, 1999; Trigo et al., 2002; Krichak 374 and Alpert, 2005a,b). However, the first technique has also been used to show 375 the areas of significant difference in storm activity between winters with high 376 and low NAO index (Serreze et al., 1997). Figure 107, A–D shows the 1,000 hPa 377 geopotental height standard deviation and associated cyclone trajectories. 378 The analysis is applied to the band-pass filtered fields with cut-off periods 379 at 1 and 7 days. Two monthly periods are considered: January 1966 and 1983, 380 which are characterized with a low and high NAO index, respectively. Both 381 approaches show the existence of a major cyclone variability mode, which is 382 strongly associated with NAO (North Atlantic Oscillation). 383 A climatology of cyclones implies a definition of cyclone and a method of 384 detecting (and describing) it. In both these steps there is a wide margin of 385 arbitrariness, which produces significant differences in the results. When 386 considering subjective analyses and a subjective detection method it was usual 387 to retain a disturbance as a cyclone when it wasPROOF a minimum of pressure 388 389 A B 390 391 392 393 394 395 396 397 398 D 399 C 400 401 UNCORRECTED 402 403 404 405 406 Figure 107: Cyclone trajectories (top panels (A) and (B)) and 1,000 hPA standard 407 deviation (bottom panels (C) and (D)) for low (Jan. 1966, left) and high (Jan 1983, 408 right) monthly NAO index values. Analysis is applied to band-pass filtered data 409 (1 to 7 day window). Only trajectories of cyclones deeper than 25 hPa and with 410 duration longer than one day are shown. File: {Elsevier}Lionello/Pageproofs/3d/N52170-Lionello-Ch006.3d Creator: / Date/Time: 5.11.2005/6:04pm Page: 313/358 ARTICLE IN PRESS
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411 surrounded by a closed isobar. Of course, the results depend on the spacing 412 between isobars and of the scale of the map, so that the more detailed the 413 map, the higher the number of cyclones identified. These situations and problems 414 are not avoided by using objective methods. There are different conceptual 415 ways to define a cyclone. An option is to define a cyclone as a relative maximum 416 of vorticity (relative or geostrophic vorticity). Another definition states that 417 a cyclone is a relative minimum of sea level pressure (or geopotential height). 418 The choice of the definition will produce significantly different number of 419 cyclones, and will affect also other details, like their location. Not all the minima 420 of sea level pressure can be retained as cyclones, because many of them are too 421 weak or too close together, so that restrictions have to be imposed (like a 422 threshold for the minimum pressure gradient, a minimum distance between 423 centres, or other constraints), which introduce arbitrariness in the definition of 424 the cyclone and therefore in the results. Even more critical is the effect of the 425 resolution, since low-resolution analyses will permit the detection of relatively 426 large-scale cyclones, but will miss the smaller mesoscale disturbances, while, on 427 the contrary, high-resolution analyses will permit the detection of many small 428 mesoscale disturbances, but could miss the descriptionPROOF of the relatively large- 429 scale disturbances. In fact, the domain of a large-scale cyclone, defined as the 430 area of positive (geostrophic) vorticity, in a region like the Mediterranean 431 characterized by a complex orography and land–sea distribution, is often broken 432 in multiple fragments, without continuity, due to the existence of many high-low 433 small-scale disturbances, with negative–positive vorticity. The maximum detail in 434 the detection and description of small-scale cyclonic disturbances, is achieved by 435 using high-resolution objective analyses directly, but for a good description of 436 larger scale cyclones, lower resolution analyses have to be used or, alternatively, 437 the original fields of the high-resolution analyses have to be spatially smoothed. 438 The results from high-resolution unfiltered fields and from low-resolution or 439 smoothed fields are dramatically different, even with the same definition of 440 cyclones and the same restrictions to the definition. Figure 108 (Gil et al., 2002) 441 is based on a 3-year (Jun 1998 to May 2001) sample of operational analyses 442 from theUNCORRECTED ECMWF, consisting of four analyses per day at a T319 resolution, 443 which permits 0.5 latitude–longitude gridded maps. From non-smoothed 444 analyses (right-hand side in the figure), 2,248 cyclones are detected in the 445 Eastern Mediterranean (purple frame) and 2,910 in the Western Basin (blue 446 frame). From smoothed fields, using a Cressman filter with a 200 km radius of 447 influence (left side in the figure), these numbers are reduced to 353 cyclones in the 448 East and 437 in the West. Not only the number of cyclones are totally different, 449 but also some details in the distribution: the very important relative maximum 450 south of the Pyrenees obtained from the original fields disappears when the 451 smoothed fields are used. File: {Elsevier}Lionello/Pageproofs/3d/N52170-Lionello-Ch006.3d Creator: / Date/Time: 5.11.2005/6:04pm Page: 313/358 ARTICLE IN PRESS
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452 453 454 455 456 457 458 459 460 461 Figure 108: Number of cyclones detected in a three-year (Jun 1998 to May 2001) 462 sample of operational analyses from the ECMWF at T319 resolution. Right panel 463 shows the results of analysing non-smoothed analyses: 2,248 cyclones are detected 464 in the Eastern Mediterranean (purple frame) and 2,910 in the Western Basin 465 (blue frame). Left panel refers to smoothed fields (a Cressman filter of 200 km 466 of radius of influence has been used): 353 cyclones in the East and 437 in the West (from Gil et al., 2002). 467 468 469 PROOF 470 6.3. Climatology of Cyclones in the Mediterranean 471 472 The climatology of cyclones in the Mediterranean region is highly influenced by 473 the almost enclosed Mediterranean Sea, which represents an important source of 474 energy and moisture for cyclone development; and by its complex land top- 475 ography, which plays a major role in steering and deflecting air flows. Moreover, 476 being located within the transition between the subtropical high-pressure belt 477 and the mid-latitude westerlies, the Mediterranean is also subject to strong 478 interannual variability of cyclone activity and, consequently of its precipitation 479 regime, water resources. 480 In the following section, a climatology of Mediterranean cyclones is presented, 481 which decribes the spatial distribution of cyclogenesis and associated mechan- 482 isms. The average cyclone characteristics, including their intensity and spatial 483 and temporalUNCORRECTED scales, as well as their intra- and inter-annual frequency variability, 484 will be described. 485 486 487 6.3.1. Characteristics, Sub-areas of Cyclogenesis, Seasonality 488 and Generation Mechanisms 489 490 Mediterranean cyclones are generally characterized by shorter life-cycles and 491 smaller spatial scales than extra-tropical cyclones developed in the Atlantic, as 492 shown in the analysis of storm-tracks derived from 6-hourly near surface fields File: {Elsevier}Lionello/Pageproofs/3d/N52170-Lionello-Ch006.3d Creator: / Date/Time: 5.11.2005/6:04pm Page: 313/358 ARTICLE IN PRESS
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