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On the 8 of March 2010 a heavy snowfall accompanied by lightning occurred over Catalonia (NE Spain), in the Western Mediterranean. Total lightning observations included 101 cloud-to-ground flashes and 169 intra-cloud flashes. Precipitation amounts in 24 h exceeded 100 mm and snow depths over low altitude terrain, where snow is rare, surpassed 30 cm. Snow accumulations collapsed the regional communication transport network and the border with France was closed several hours. Occurrence of wet snow combined with increasingly strong winds caused widespread damage over large forest areas estimated in more than 20 MEur and affected dramatically the high voltage power line distribution grid due to ice accretion, particularly in NE Catalonia where 33 high power electrical towers were knocked down. The meteorological framework at synoptic scale was dominated at low levels by a northern flow over Iberia due to a blocking high pressure system on the British Isles, and an upper level cold trough, which favoured a rapid cyclogenesis over the Mediterranean (9.2 hPa drop in 12 h). Weather radar observations indicated predominance of stratiform precipitation and some low-topped convection, with maximum reflectivities and tops mostly below 40 dBZ and 4 km respectively. The presence of mesoscale gravity waves, caused by wind-shear instability, is suggested as a triggering element for convection and subsequent lightning. Comparison of accumulated precipitation and lightning maps indicated clusters of lightning data unrelated to precipitation maxima. Further investigation of total lightning characteristics and co-located radar observations suggested a triggering effect by tall telecommunication towers inducing cloud‐to‐ground flashes and subsequent intra-cloud lightning.
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Remote sensing analysis of a Mediterranean thundersnow and low-altitude
heavy snowfall event
Joan Bech
a,
, Nicolau Pineda
b
, Tomeu Rigo
b
, Montserrat Aran
b
a
Dep. Astronomy and Meteorology, University of Barcelona, Av. Marti i Franques 1, Barcelona E-08028, Spain
b
Meteorological Service of Catalonia, Berlín 38, Barcelona E-08029, Spain
article info abstract
Article history:
Received 14 January 2012
Received in revised form 18 May 2012
Accepted 19 June 2012
On the 8 of March 2010 a heavy snowfall accompanied by lightning occurred over Catalonia
(NE Spain), in the Western Mediterranean. Total lightning observations included 101
cloud-to-ground flashes and 169 intra-cloud flashes. Precipitation amounts in 24 h exceeded
100 mm and snow depths over low altitude terrain, where snow is rare, surpassed 30 cm.
Snow accumulations collapsed the regional communication transport network and the border
with France was closed several hours. Occurrence of wet snow combined with increasingly
strong winds caused widespread damage over large forest areas estimated in more than
20 MEur and affected dramatically the high voltage power line distribution grid due to ice
accretion, particularly in NE Catalonia where 33 high power electrical towers were knocked
down.
The meteorological framework at synoptic scale was dominated at low levels by a northern
flow over Iberia due to a blocking high pressure system on the British Isles, and an upper level
cold trough, which favoured a rapid cyclogenesis over the Mediterranean (9.2 hPa drop in
12 h). Weather radar observations indicated predominance of stratiform precipitation and
some low-topped convection, with maximum reflectivities and tops mostly below 40 dBZ and
4 km respectively. The presence of mesoscale gravity waves, caused by wind-shear instability,
is suggested as a triggering element for convection and subsequent lightning. Comparison of
accumulated precipitation and lightning maps indicated clusters of lightning data unrelated to
precipitation maxima. Further investigation of total lightning characteristics and co-located
radar observations suggested a triggering effect by tall telecommunication towers inducing
cloudtoground flashes and subsequent intra-cloud lightning.
© 2012 Elsevier B.V. All rights reserved.
Keywords:
Thundersnow
Low altitude snowfall
Heavy precipitation
Tower triggered lightning
1. Introduction
The occurrence of a thunderstorm accompanied by snow
(i.e., thundersnow) is a relatively uncommon phenomenon,
compared to the frequencies of ordinary snowfalls and thun-
derstorms without snow (Schultz and Vavrek, 2009). In fact
the term thundersnow does not appear explicitly in special-
ized glossaries such as the World Meteorological Organization
terminology database METEOTERM (WMO, 2011), or the
American Meteorological Society Glossary (Glickman, 2000).
However, the concept is mentioned in other texts such as the
UK Met. Office Meteorological Glossary (HMSO, 1991), or the
Standard Dictionary of Meteorological Sciences by Proulx
(1971) where appears as thundery snowfall. Because of the
combination of lightning and snow, thundersnows may reduce
substantially visibility and thus affecting surface transport
or aviation activities and also increasing the risk of lightning
accident to individuals staying outdoors (Cherington, 2001). It
should be noted that not all winter thunderstorms are nec-
essarily thundersnows and also that not all thundersnows
produce heavy snowfalls. On the other hand, general charac-
teristics and originating mechanisms associated to cold season
thunderstorms are of primary importance in thundersnows so
they are also considered here.
Atmospheric Research 123 (2013) 305322
Corresponding author. Tel.: +34 93 402 11 23; fax: +34 93 402 11 35.
E-mail address: joan.bech@ub.edu (J. Bech).
0169-8095/$ see front matter © 2012 Elsevier B.V. All rights reserved.
doi:10.1016/j.atmosres.2012.06.021
Contents lists available at SciVerse ScienceDirect
Atmospheric Research
journal homepage: www.elsevier.com/locate/atmos
The number of articles in the scientific literature related to
thundersnows, either climatologies or case studies, is rela-
tively scarce and mostly focussed in North America USA and,
to a lesser extent, Canada and Japan. For example Michimoto
(1991, 1993),Takeuchi et al. (1978) and Kitagawa and
Michimoto (1994) describe meteorological and electrical
characteristics associated to winter thunderstorms in Japan.
Thundersnow case studies in the USA are described by Sanders
and Bosart (1986),Martin (1998),Market et al. (2007),and
Pettegrew et al. (2009). Other studies are provided by Henson
et al. (2007), who examine an event affecting Montreal,
Canada, and by Dolif Neto et al. (2009) who describe a cou-
ple of low latitude thundersnow events in the US (Texas Coast)
and southern Brazil. Climatologies or statistical analysis con-
sidering thundersnow events in the US can be found in Hunter
et al. (2001),Market et al. (2002, 2006),Crowe et al. (2006) or
Schultz (2009). On the other hand, specific winter thunder-
storm characteristics are given by Munzar and Franc (2003),
dealing with cold season precipitation events in the Czech
Republic in Europe, or by Altaratz et al. (2001) examining
winter thunderstorm characteristics in Israel, in the Eastern
Mediterranean. There are other works specifically related with
lightning characteristics of winter thunderstorms from the
point of view of the microphysical electrification processes or
the engineering electrical protection. For example Miyake et al.
(1990),orDiendorfer et al. (2006) present results from studies
of lightning from winter thunderstorms affecting high towers
or tall structures and López et al. (2013) report in detail a case
study of winter thunderstorm lightning which damaged a
weather radar installed on a high tower. Necessary factors for
the occurrence of thundersnows are summarized by Schultz
and Vavrek (2009) and include abundant moisture, lifting
mechanism, unstable temperature profile plus low tempera-
tures to have snow reaching the ground. General characteris-
tics of winter thunderstorms are a relatively low number of
lightning strokes, compared to summer season events, while in
thundersnows, cloud-to-ground lightning is typically associat-
ed to precipitation maxima, which is sometimes organized as
heavy snow bands.
The objective of this study is to provide an analysis of
meteorological conditions and remote sensing observations of
a heavy snowfall and thundersnow event that took place on
the 8 March of 2010 over Catalonia (NE Spain), a mid-latitude
region in the Western Mediterranean. The snowfall had an
unusual large extension and local intensity (in some places
24 h accumulations exceeded 100 mm of equivalent liquid
precipitation), causing substantial disruption to socioeconomic
activities and transport as it affected low altitude areas where
snow is relatively rare. Therefore, the purpose of documenting
this event is twofold. Firstly, to describe the synoptic and
mesoscale conditions leading to the heavy snowfall, contrib-
uting to improve our understanding of this type of events in
the region and helping to identify those features in future
forecasts. Secondly, to provide a specific analysis of the
thundersnow characteristics, with special emphasis on total
lightning (i.e. cloud to ground and intracloud strokes) and
weather radar observations, so that they can be identified in
the surveillance process, i.e. very short range forecast process, in
similar future events.
The organization of the rest of the paper is as follows.
Section 2 describes briefly the data used and the region study,
to present the main geographical features explained later and
also an overview of low altitude events in the region. Section 3
is focussed on general characteristics of the event, including an
overview of the damage, observed precipitation, and synoptic
and mesoscale meteorological features. In Section 4, a detailed
discussion of total lightning and weather radar observations
is provided highlighting substantial differences with warm
season thunderstorms. Finally, Section 5, gives a discussion and
concluding remarks of the study presented.
2. Region of study and observational data
2.1. Region of study
The thundersnow and heavy snowfall event considered in
this study affected Catalonia, located in the NE of the Iberian
Peninsula (Fig. 1). Catalonia, with an area about 32,000 km
2
,
is limited by the Mediterranean Sea to the east and south, and
by the Pyrenees mountain range to the north, with average
heights of 2000 m and maximum tops exceeding 3000 m.
There are also other lower mountain ranges such as the
Pre-Pyrenees range (parallel and south to the Pyrenees), or
the Coastal range maximum heights about 700 m and
Pre-coastal range, with the highest hills between 1000 m and
1700 m approximately. Most population of the region (about
5 out of 7 million inhabitants) live in Barcelona city and the
surrounding metropolitan area (ca. 50 km from the city),
which concentrates a large number of industry, communica-
tion and transport infrastructure, being one of the largest
conurbations in Europe.
While snowfall is usual every winter in the Catalonia
Pyrenees and Pre-Pyrenees, where there are about a dozen of
mountain ski-resorts, it is not that frequent in lower areas such
as the Barcelona metropolitan region. Due to their high impact
to socio-economical activity several meteorological episodes
producing heavy low altitude snowfalls in Catalonia have been
documented in the past see, for example, Pages et al. (2003),
Pascual et al. (2003) or Mateo et al. (2006).Aran et al. (2010)
examined the climatological frequency of snowfalls through
snow on ground observations affecting Barcelona City from
1947 to 2009 and found 16 cases (about once every four years).
However, high impact cases as this one, characterized by large
extensions and persistence of the snow on ground for several
days, occur much less frequently.
2.2. Observational data and products
Observational data used in this study were provided by the
Meteorological Service of Catalonia, including weather radar
observations, total lightning data, satellite data, radiosonde
data, and surface observations recorded with the automated
surface observation network (Prohom and Herrero, 2008),
covering Catalonia (see Fig. 1a).
Weather radar observations were obtained with a net-
work of four C-band Doppler radar systems (Fig. 1b), designed
to provide quantitative precipitation estimates in a hilly re-
gion where topographical beam blockage is a common prob-
lem (Bech et al., 2003). The weather radars use Travelling
Wave Tube transmitters which allow pulse-compression to
achieve sensitivities and radial resolution similar to those of
higher power systems (O'Hora and Bech, 2007). Weather
306 J. Bech et al. / Atmospheric Research 123 (2013) 305322
radar products considered in the analysis include, among
others, radar reflectivity composites, velocity volume pro-
cessing displays (Siggia and Holmes, 1991), or quantitative
precipitation estimates derived from quality controlled radar
corrected data (Sánchez-Diezma et al., 2002). Temporal
resolution of radar data is 6.
Total lightning (cloud-to-cloud and cloud-to-ground)
data was obtained with the Lightning Mapping System
(hereafter, XDDE), composed of four Total Lightning Sensors
(Fig. 1b). Intracloud (IC) and cloud-to-ground (CG) lightning
discharges are detected and processed separately by the
system. IC lightning is detected with a VHF sensor, that
operates in the range from 110 to 118 MHz, and located with
an interferometric technique (Lojou and Cummins, 2006). On
the other hand, cloud-to-ground return strokes are mainly
observed by the low frequency (LF) sensor. The algorithm to
locate the CG strokes is a combined Time-of-Arrival/Magnetic
Direction Finding technique (Cummins et al., 1998). This
network has been experimentally evaluated by means of
electromagnetic field measurements and video recordings
resulting in CG flash detection efficiency above 90% with an
average location accuracy between 0.5 and 1 km (Montanya
et al., 2006). More information on the XDDE can be found in
Pineda and Montanya (2009).
Moreover, the operational SMC object-oriented precipita-
tion tracking system (Rigo et al., 2010), which was employed
Fig. 1. Area of study with relevant geographical features. a). Iberian Peninsula, showing the location of Catalonia (rectangle) in the NE, limited by the Pyrenees to
the north (2000 to 3000 m high) and the Mediterranean Sea to south and east. b) Geographical distribution of the C-band Doppler radar systems (circles) and the
total lightning sensors (squares) considered in the study.
Fig. 2. Monthly averaged cloud-to-ground hourly distributions during the period 2004 to 2008 in Catalonia.
Adapted from Pineda et al., 2011b.
307J. Bech et al. / Atmospheric Research 123 (2013) 305322
in the past to characterize warm season severe convective
events (Aran et al., 2009; Bech et al., 2007, 2011; Pineda et al.,
2011a) has also been used in this analysis. This system is
similar in some aspects to the TITAN (Dixon and Wiener,
1993) or SCIT (Johnson et al., 1998) systems, and considers
both radar and total lightning data to track and characterize
precipitating storms.
3. The 8 of March 2010 event
Several aspects of the 8 of March 2010 snowfall in Catalonia
have been described recently. Amaro et al. (2010) focussed on
the social impact of the event, Vilaclara et al. (2010) on the
operational warnings issued, and Aran et al.(2010) and Pascual
(2011), provided an overview of the meteorological conditions.
The snow depth recorded at the Fabra observatory in Barcelona
city (16 to 20 cm) was comparable to previous important
snowfalls asthe 8 March 1964 (18 cm), 1 March 1993 (20 cm)
but inferior to the 30 January 1986 (20 to 30 cm) and 15
December 2001 (25 cm) (SMC, 2010). Moreover, during the
event lightning was present (101 CG and 169 IC flashes) and
thunderstorm occurrence in March in this area is per se a rather
anomalous event as most lightning is concentrated in the
warm season. Fig. 2 shows the monthly distribution of hourly
lightning averaged during the period 2004 to 2008 (Pineda et
al., 2011b), indicating thatduring March a thunderstorm event
Fig. 3. Comparison of 850 hPa temperatures (in Celsius) in March 2010 over Barcelona obtained with SMC radiosonde data (blue dotted line) with SMC
radiosonde average (19982011) (red line), and ERA-Interim database (19892009) (thick black line).
Fig. 4. Examples of the 8 March 2010 snowfall effects. a). One of the 33 high power line towers collapsed due to icing. b). Widespread fallen trees affected not only
vast forest areas but also damaged locally houses and cars. c). Montcau (1053 m asl) and other hills near the coast, were covered by enough snow to allow ski
touring, a very rare circumstance.
308 J. Bech et al. / Atmospheric Research 123 (2013) 305322
like this is rather uncommon. Several SMC mountain observa-
tories in the Pyrenees broke absolute low temperature records
such as 20.8 °C in Boí (2540 m) and 20.2 °C in Salòria
(2445 m). On the Girona coast, the observatory of L'Estartit
also reached a remarkable minimum low March value with
2.1 °C, equal to the previous March record in the time
series started in 1968. The below normal temperatures of the
event are illustrated in Fig. 3, which shows March temperatures
over Barcelona at 850 hPa. Climatologicalvalues, obtained both
from the SMC radiosonde data (19982011), and the ERA-
Interim database (19892009), indicate temperatures above
2.5 °C. In contrast, during the cold advection which caused
this event, temperatures sank below 7.5 °C on the 10 March
2010.
Our focus here is to provide an in-depth analysis the syn-
optic and mesoscale framework and later examine in detail
the thundersnow characteristics through the use of weather
radar and total lightning data.
3.1. Damage overview
As outlined in Amaro et al. (2010) and Aran et al. (2010)
this event caused a high social impact not only in the
Barcelona metropolitan region but also in other large areas
of Catalonia, particularly on the NE. The N part of Catalonia
was affected before 12 Z and due to the heavy snowfall road
authorities closed the highway border between Spain and
France at La Jonquera, leaving about 300 lorries stranded. The
Barcelona airport service had several delays and the effects
were more important in the Girona airport, with 26 out of 31
flights cancelled that day. Regional communication net-
works (highways and railways) were completely affected by
snow accumulations combined with strong winds, especially
during the period from 12Z to 18Z, when most part of the
regional transport system was either stopped or substantially
delayed many secondary road where completely impass-
able for several hours.
Fig. 5. Top panels: satellite (MODIS) derived snow cover over Catalonia before (a) and after (b) the 8 March 2010 snowfall. c) Precipitation analysis (mm)
performed with automatic surface observations. d). Snow depth analysis (cm) performed with manual and automatic observations.
309J. Bech et al. / Atmospheric Research 123 (2013) 305322
310 J. Bech et al. / Atmospheric Research 123 (2013) 305322
During some periods of the event the concurrence of
snowfall with humid and light to moderate winds favoured
substantial accumulations of wet snow, which are a relatively
rare phenomenon at low altitudes in this region. Large areas in
relatively low altitude terrain, including hills of the Pre-Coastal
and Coastal range mountains where snow is rare, were affected
by these deep snow accumulations. Wet snow was partic-
ularly important in forests where it broke branches and
downed trees, some of which damaged houses or parked cars
(see Fig. 4)an area of 35,000 ha was affected according to
regional forest services and mitigation financial support
(21 MEuro) was provided by the regional government. Dam-
age in forests was not onlyan economical problem due to wood
losses, but alsoa serious hazard as favouring factor for wildfires
for the next summer season. Another high impact effect,
particularly in NE Catalonia, was the collapse of a large number
of electrical power lines and subsequent blackouts, some of
which lasted several days. A total of 33 high power tower lines
were knocked down leaving 220,000 users without power. A
preliminary analysis of the most affected areas indicated the
existence of favourable conditions for wet snowicing accretion
on power lines,i.e. combination of near zerotemperatures with
high moisture and moderate to low wind for more details
see, for example, Makkonen (1998) or Savadjiev and Farzaneh
(2004).
3.2. Precipitation, snow extension and depth
The large extension of the snowfall is illustrated in Fig. 5,
where the upper panels show, before and after the snowfall,
the snow cover variation. The images are derived from
MODIS sensor observations of the Terra satellite, processed
to highlight snow covered surfaces (Hall et al., 2002). Before
the event (Fig. 5a), snow is present only over the Pyrenees
and Pre-Pyrenees mountains, at heights about 2000 m, as
usual at the beginning of March. The change in the snow cover
after the snowfall (Fig. 5b) is evident, and affects the whole of
Catalonia except the SW. The lower panels show accumula-
tions in liquid equivalent, in mm (Fig. 5c), and snow depth
(Fig. 5d), derived from automatic, and manual and automatic
Fig. 7. a) Trajectory of the low pressure centres from the 7 March 2010 12 UTC to 9 March 2010 00 UTC. The observatory locations of Santander (S), Zaragoza (Z),
Barcelona (B), Girona (G), and Palma de Mallorca (P) are indicated with a cross. b). Sea level pressure fall geographical distribution over Catalonia between 00 and
15 UTC on 8 March 2010 obtained from the analysis of surface automatic observations. c). Sea level pressure fall during 8 March 2010 at Barcel ona (thick line),
Girona (dotted line), and Palma de Mallorca (semi-dashed line) airports (AEMET data); see panel a) for location of these observatories.
Fig. 6. MM5 meteorological analysis at 00Z (left column) and 12 Z (right column) showing 300 hPa winds (panels a and b), 500 and 850 hPa geopotential height
contours (gpm) and temperature (shaded, °C) (panels c and d, and e and f, respectively), and higher resolution mean see level pressure field over the region of
study (panels g and h).
311J. Bech et al. / Atmospheric Research 123 (2013) 305322
observations, respectively. The highest accumulations ex-
ceeded 100 mm in 24 h: Torroella de Montgrí 101.7 mm and
Roses 100.1 mm, in NE Catalonia, while snow depths reached
50 cm above 1000 m in the Pyrenees and Pre-Pyrenees
mountains and valleys, and 30 cm in lower areas. In Barcelona
City, the snow depth was 2 to 3 cm on the beach (at sea level),
about 15 cm in the centre and reached 20 cm at the Fabra
Observatory, located near the Tibidabo hill (SMC, 2010).
3.3. Synoptic and mesoscale framework
The synoptic framework was dominated by several ele-
ments present in other heavy snowfall events previously
documented in this region (Esteban et al., 2005; Pagès et al.,
2003). Previous days were characterized by a northern flow
and cold advection over N Spain due to the presence of a
blocking high over the British Isles (1035 hPa), impinging
cold air from central to southern Europe. This brought lower
than normal temperatures at low levels. The 8 March 2010 a
mid and upper level trough associated to a deep and cold
depression in Central Europe extended over N Spain and the
presence of a strong jet provided a marked cyclonic curvature
at mid-tropospheric levels. Fig. 6 illustrates this setting with
300 hPa winds, 500 and 850 hPa geopotential height and
temperature fields, and sea level pressure at 00 and 12 UTC,
obtained with the operational analysis. Between 00 and 12, at
500 hPa UTC a slow movement of the trough to the SE is
noted (the low centre migrates from SW France to NE
Spain), while changes in the sea level pressure field are
much more dramatic. At 12 UTC over Catalonia a cold air
pool about 30 °C was present and at 850 hPa temperature
was 5 °C. A sudden cyclogenesis over the Mediterranean
generated a surface low pressure area (998 hPa) located
between the Balearic Islands and Catalonia. This changed
completely the low-level (see sea level and 850 hPa maps in
Fig. 6) wind regime in this region leading to increasingly strong
winds, surface convergence, and subsequent cloud development
and precipitation, which was mainly stratiform, but with some
convective parts, and occasional thunder as discussed later.
The movement of the minimum sea-level pressure centres
during the event is depicted in Fig. 7a. The sea level pressure
field evolved in such a way that two lows of similar value on
the 7 March 2010 12 UTC (1012 hPa) moved from N, and
central Spain to the E coast, on the 8 March 2010 00 UTC
(1006 hPa). During the next 12 h the low moved E and then
NE, over the Balearic Islands, reaching a minimum value of
998 hPa located N of the Islands. A secondary low, less intense
(1002 hPa), appeared on the N, nearer to the Catalan coast.
Over Catalonia there was a relatively fast pressure fall il-
lustrated in Fig. 7b which shows a sea level surface pressure
variation map obtained from objective analysis of automatic
observations from 00 to 15 UTC the pressure drop on the NE
Fig. 8. Meteosat Second Generation infra-red (10.8 μm) and water vapour (6.2 μm) channel images at 12 and 18 UTC 8 March 2010. Note the spiral cloud band
structure associated to the rapidly developing surface low (see inset 18 UTC infra-red image).
312 J. Bech et al. / Atmospheric Research 123 (2013) 305322
is particularly remarkable, with a variation higher than 9 hPa
in 15 h. Fig. 7c shows more specifically the temporal evo-
lution of mean sea level pressure over three airport observa-
tories: Barcelona, Girona and Palma de Mallorca (locations
shown in Fig. 7a). Barcelona and Girona 12 h pressure drops
were 9.2 and 7.2 hPa respectively. Meteosat Second Genera-
tion images show the cloud shield associated with the rapid
developing surface low (Fig. 8), where a distinct spiral cloud
band structure, an even limited cloudless small area, similar
to a hurricane eye may be observed (see 18 UTC infrared
channel inset). Moreover, the water vapour images indicate
clearly the high level dry intrusion, corresponding to 300 hPa
strong winds according to model data (Fig. 6).
Low altitude snowfalls in Catalonia are usually character-
ized by the combination of cold and dry air advection over the
region and a warmer and more humid flow justabove typically
from the Mediterranean Sea. This configuration was well
identified in this event with the aid of an equivalent potential
temperature cross section analysis. Fig. 9, built with upper air
observations from the observatories indicated in Fig. 7a, i.e.
Santander, Zaragoza, Barcelona, and Palma de Mallorca, shows
cross sections of equivalent potential temperature at 00 and 12
UTC. The cold air advection at low levels is very clear, below a
relatively warmer and more humid air mass. In this case, there
is also an increase in potential instability over the region of
study, particularly at low levels as can be seen comparing
Fig. 9a and b where the stability of each atmospheric layer is
indicated by colour codes (see figure caption for details); as
will be discussed later the absence of deep unstable layers is
also noteworthy during the event considering that lightning
was observed.
During the event temperatures were near 0 °C see for
example Fig. 10 showing the evolution of wind, precipita-
tion and temperature at La Bisbal d'Empordà (near Girona).
Precipitation type was highly variable, including rain, sleet,
and snow, supported by a constant and relatively weak warm
maritime advection over a much colder and drier air mass
on-shore. As mentioned earlier, the combination of precipi-
tation near 0 °C and winds about 5 m/s favoured ice growth
accretion by riming over surfaces, in particular over power
lines. A few hours later, as the low pressure system developed
near the coast, winds intensified (12 m/s with gusts higher
than 20 m/s) and acted effectively over important ice loads on
the main power lines in Girona which collapsed.
Fig. 9. Upper panels: Barcelona radiosonde plots at 00UTC (a) and 12 UTC (b). On the right of each panel the stability character for each layer is depicted: yellow
(unstable), green (conditionally unstable), and blue (stable). Lower panels: equivalent potential temperature cross sections at 00 UTC (c) and 12 UTC (d). Data
are interpolated approximately along a segment connecting the Bay of Biscay and the Balearic Islands from radiosonde observations recorded at Santander
(08023), Zaragoza (08160), Barcelona (08190), and Palma de Mallorca (08032) (Fig. 7a shows their locations).
313J. Bech et al. / Atmospheric Research 123 (2013) 305322
Further analysis of visible channel images befor e the onset of
thunderstorm development reveals a cloud structure in bands,
consistent with radar echo top products as seen in Fig. 11
note that the flow was from the S, not from the N as it is usual
for mountain gravity waves caused by the Pyrenees in this
region. This banded structure is very similar to that found in
Bosart and Sanders (1986) or Bosart et al. (1998) where they
identified gravity waves as the main triggering and organizing
mechanism of convection in heavy snowfall events. Unlike in
those studies, no evident sign of pressure oscillations was found
on the barometric surface automated records examined
however, it should be noted that our analysis considered 30
observations and higher temporal resolution data might
provide more information. The presence of mesoscale gravity
waves in this event seems consistent with the important wind
shear at mid and high levels of the troposphere commented
above. In the absence of airflow over mountains, or penetration
of stable layers by convection from previous deep convection
activity neither of them existent in this case vertical wind
shear instability seems the most plausible origin of the gravity
waves observed.
4. Thundersnow characteristics
4.1. Radar data
Weather radar observations allow describing in detail the
spatial distribution and evolution of the precipitation field
Fig. 10. Automatic surface observations from the SMC station at La Bisbal d'Empordà (near Girona) during 8 March 2010 (UTC hours). Variables shown are
temperature (red thick line), mean wind velocity (yellow circle symbols), wind gusts (yellow square symbols), and hourly precipitation amounts (bars).
Fig. 11. a) Radar echo top composite and b) Meteosat Second Generation RGB image composed with HVIS:HVIS:MIR (3.9 μm) channels. Both images correspond
to 8 March 2010 10 UTC.
314 J. Bech et al. / Atmospheric Research 123 (2013) 305322
during the event, in particular the characteristics of individual
storms. Storm characterization was performed with the SMC
object-oriented storm tracking system (Rigo et al., 2010)based
on the operational analysis of weather radar and lightning
observations. The system distinguishes between non-vertically
developed, or so-called 2-D storm structures, present only in
the lowest radar data volume grid (made up of approximately
2×2 × 1 cubic km bins), and structures with vertical develop-
ment or 3-D structures, whichindicate moreintense convection
and possibly thunderstorms. For each type of structure a cen-
troid is determined. Fig. 12 indicates the position of centroids
of vertically developed storms (3D structures), maximum
reflectivity values (ZMAX) and the volume of each structure
during the event. It may be noted that the number of storms
was relatively low and that were not intense (reflectivitiesb
40 dBZ), with echo top heights around 5 km (not shown). To
examine in more detail these characteristics Fig. 13 illustrates
the evolution of the largest of the precipitating structures in
Fig. 12. Weather radar based precipitation structures (echo tops higher than 2 km) identified during 8 March 2010 over Catalonia with the SMC object-oriented
storm tracking system (Rigo et al., 2010).
315J. Bech et al. / Atmospheric Research 123 (2013) 305322
terms of lightning and radar data obtained from the storm
tracking system. Maximum reflectivities and 12 dBZ echo tops
were mostly below 40 dBZ and 6 km, respectively, very modest,
compared to typical values found in warm season convective
structures of this area, i.e. maximum reflectivities above 55 dBZ
and echo tops higher than 10 km. Cloud-to-ground flash rates
where about 1 or 2 every 6 min, very low compared to typical
summer thunderstorms with average sustained rates above
5, and peaks above 35 flashes every 6 min (Pineda et al., 2007,
Rigo et al., 2010)as discussed in more detail in the following
paragraphs.
4.2. Lightning activity
The overall lightning activity recorded by the XDDE during
the thundersnow episode was of 101 CG flashes (231 strokes)
Fig. 13. Example of temporal evolution of selected parameters of a convective precipitation structure during the event derived with the SMC thunderstorm
tracking system (Rigo et al., 2010). The y-axis provides reference units for the variables (radar echo tops TOPS, maximum radar reflectivity ZMAX, areal extension
AREA, and cloud-to-ground flashes CG). Radar echo tops are directly expressed in km; area in reference units/E5 square km, ZMAX in reference units/5 dBZ, and
CG in flash rate.
0
10
20
30
40
50
60
9:00
9:20
9:40
10:00
10:20
10:40
11:00
11:20
11:40
12:00
12:20
12:40
13:00
13:20
13:40
14:00
14:20
14:40
15:00
15:20
15:40
16:00
16:20
16:40
17:00
17:20
17:40
18:00
18:20
18:40
19:00
19:20
19:40
20:00
Time (UTC)
Lightning counts
IC Flash
Stroke 2 Tower"
CG strokes
Fig. 14. Temporal evolution of intra-cloud (IC) and cloud-to-ground (CG) flashes on 8 March 2010 over Catalonia. CG strokes associated to towers are also marked.
316 J. Bech et al. / Atmospheric Research 123 (2013) 305322
and 169 IC flashes (see Fig. 14). The lightning activity lasted
for almost 8 h, but 90% of the strokes were recorded only in
a five hour period, from 1220 to 1740 UTC. Even during this
period, the intensity was very weak, with a CG flash rate
below 1 flash per minute. Only around 1700 UTC the CG flash
rate reached a 1.7 CG flash per minute.
The lightning data, compared to a typical late spring
or summer thunderstorm day presents some remarkable
differences. Maybe the most noticeable is related to the
intracloud to cloud-to-ground flash ratio, which in summer,
ranges from5 to 10, a higher value sometimes related to severe
weather or heavy precipitation (Boccippio et al., 2001; Cheze
and Sauvageot, 1997). In contrast, in the average value found in
the present case study this ratio is about 1.7, very low (similar
to the specific convective structure examined above).
In comparison to average lightning statistics for the whole
year 2010, the negative CG average first stroke peak current
(17.4 kA) is similar to the 2010 average (16.8 kA) while
for the positive CG the thundersnow presented higher values
(34.6 kA) compared to the average (16.6 kA).
Fig. 15. Radar-derived 24 h quantitative precipitation estimates overlaid with cloud-to-ground strokes on different events. Top panel: 28 June 2010 (typical warm
season episode). Bottom panel: 8 March 2010 thundersnow.
317J. Bech et al. / Atmospheric Research 123 (2013) 305322
4.2.1. Temporal evolution
The first lightning evidence during the thundersnow was
at 0954 UTC with two isolated CG, in the NE of Catalonia, in
the border with France (Fig. 14). No more lightning was
recorded until 1128 UTC, when other CGs began to appear in
the same region. Activity became more regular, with CG flash
Fig. 16. Lightning stroke clusters in the vicinity of telecommunication towers recorded the 8 March 2010 overlaid on Google maps underlays. For each site an inset
with the nearby strokes and another with the tower is shown. a). Puig Neulós (1261 m), on the FranceSpain border; b) Rocacorba (991 m), near Girona;
c) Collserola telecommunication tower (447 m, reaching 713 m asl), in Barcelona.
318 J. Bech et al. / Atmospheric Research 123 (2013) 305322
rates between 0.1 and 0.6 CG min
1
. The activity at that time
was still in the NE, affecting mainly the coastal area. Only after
1330 UTC some intracloud flashes were observed, but the few
IC flashes of the episode presented big extensions, sometimes
covering distances between 20 and 30 km long. The lightning
activity remained in the same coastal area, in between
Barcelona and the French border until 1500 UTC. Intracloud
activity was larger from 1400 to 1500 compared to the pre-
vious hours, but still with IC:CG ratios around 1. Lightning is
located in regions where radar reflectivity was between 20
and 30 dBZ, with echotops between 5 and 6 km. It is worth
mentioning that at the same moment there were cells located
above the sea but far from the coast with 3035 dBZ and
echotops between 7 and 8 km but with no lightning at all.
Around 1600 UTC some lightning activity began to be
recorded in the area of the city of Barcelona. As the previous
lightning, the activity is related to radar reflectivity around 25
and 30 and echotops between 5 and 6 km. The higher flash
rates were recorded around 1700 UTC, with a maximum of 17
CG flashes in 10 min. After that, the activity lowered until
1740 UTC, when the last CG flash was recorded. Through the
remainder of this event only intracloud activity was observed.
4.2.2. Spatial distribution
A striking feature, already noticed by SMC weather fore-
casters on duty that day, is that lightning is not collocated
within convective cells and higher reflectivity areas; neither
is coincident with regions with the highest accumulations of
snow. This was evident as the event progressed and the total
precipitation map overlaid with lightning data was available.
During the warm season the maxima of precipitation and
lightning are approximately coincident. To illustrate this dis-
crepancy Fig. 15 shows two examples of radar-derived 24 h
precipitation and cloud-to-ground lightning, one correspond-
ing to an ordinary warm season event, and the other to this
case study. The differences are obvious; in a typical warm
season day only a marginal part of the lightning is not related
to precipitation maxima, while here both locations seem
almost independent. Lightning is not collocated with the
higher storm totals, but it is sparsely disseminated around the
coastal area between Barcelona and the French border. On the
other hand, the distance between a large part of the lightning
and precipitation maxima cannot be explained only by snow
drift below the weather radar beam (Lauri et al., 2012), given
the relative proximity of precipitation observations to radars
and their height.
A more detailed analysis was performed considering a
higher spatial resolution map which showed several spots of
high flash density or clusters. Overlaying the data to high
resolution geographical maps (such as Google Earth TM with
local cartography provided by the Cartographical Institute of
Catalonia) we found that those clusters corresponded to sites
with three high telecommunication towers (see Fig. 16). The
first two towers are on hills in NE Catalonia, on the Pyrenees
and Pre-Pyrenees (at 1260 and 991 m asl respectively), and
the third one is the Barcelona telecommunication tower, built
for the Barcelona 1992 olympic games by the British architect
Sir Norman Foster. It is located over the Collserola mountain
range at 447 m with a height of 266 m, reaching 713 m asl.
4.2.3. Flash clusters and towers
To examine in more detail the characteristics of the
lightning clusters associated to towers, the lightning data set
was split into two groups. The first group was formed by
lightning in radii of 1 km around the towers, assumed to be
direct strikes to the metallic structure, based on the average
error location parameter given by the XDDE system. The rest
of the data was the other group.
Table 1 shows selected characteristics of the two lightning
groups classified as described above. It can be seen that a third
of CG flashes (34 out of 101) are related to one of the three
identified telecommunication towers. Those CGs, almost all of
negative polarity, show higher multiplicity than the other
data set, and also an average peak current about half of the
other group. Taking into account only the first stroke of each
CG flash, the difference in the average peak current is higher,
being almost one third of the average compared to that of
the other group. These results suggest that the characteristics
of the lightning data group related to towers are distinct to
the other one, and are consistent with previous studies of
Diendorfer et al. (2006) or López et al. (2012). Therefore it
seems very plausible that lightning related to towers in this
event was actually triggered by those high structures. This
hypothesis would explain the apparent disconnection of light-
ning clusters to convective activity and subsequent precipita-
tion maxima.
Fig. 17 provides additional insight about convective
precipitation and lightning during the 8 March 2010 event.
It shows a plan view of maximum radar reflectivity of the
radar polar volume, i.e. the so-called MAX product (Vaisala,
2008), with lightning data overlaid, and two complementary
cross-sections. The MAX product was obtained at 14:54 UTC
Table 1
Summary of lightning observations including intra-cloud (IC) and cloud-to-ground (CG) data. Statistics are shown for the whole set considering all lightning data,
and also separately for tower related and non-tower related lightning.
All lightning Lightning to towers Other lightning
Total Neg. Pos. Total Neg. Pos. Total Neg. Pos.
IC flashes 169
CG flases 101 82 19 34 33 1 67 49 18
CG strokes 231 212 19 97 96 1 134 116 18
CG multiplicity 2.6 1 2.9 1 2.4 1
Average peak current (kA) 17.4 34.6 11.3 8.9 22.5 36.0
First stroke ave. Peak cur. 23.4 12.4 31.8
Subsequent stroke ave. PC 13.7 10.7 16.4
Maximum peak current 116.0 100.1 33.4 8.9 116.0 100.1
319J. Bech et al. / Atmospheric Research 123 (2013) 305322
Fig. 17. Radar MAX product and two cross sections recorded with the Puig d'Arques radar (near Girona) at 14:54 UTC on 8th March 2010. The cross sections
correspond to the segments indicated by the letters A and B for the central panel, and C and D for the bottom panel. Reflectivities are expressed in dBZ. Intracloud
VHF sources (black crosses) and cloud-to-ground strokes (black dots) are overlaid on the upper panel.
320 J. Bech et al. / Atmospheric Research 123 (2013) 305322
with the PDA radar (near Girona) and the lightning data was
observed between 14:50 and 15:00. Two areas with relative
high reflectivity, with values above 30 dBZ, are present
(Fig. 17 upper panel). The first one is over the sea, marked
with the segment AB, associated to a low pressure centre
system and without lightning strokes nearby. The second one
is on the coast of Catalonia, near a tall tower, at about 42°N
latitude, marked with the segment CD and a large number of
lightning flashes. The cross sections reveal that the AB core
over the sea (without lightning) is much more developed
vertically (25 dBZ above 6 km) than the CD region, much
shallower (25 dBZ below 4 km) with abundant lightning.
This apparent contradiction maybe interpreted by checking
the precise time of lightning data. A cloud-to-ground CG
stroke, shown as a black dot, near label C at (3°W, 42°N), was
observed at 14:58:33.363 UTC followed by a series of
cloud-to-cloud activity initiated at 14:58:33.424 moving to
the E, shown as black crosses (VHF sources). This chronology
of lightning types (first CG and then ICs) seems again con-
tradictory with previous observations of total lightning,
where in a given region ICs occur before CGs.
A possible hypothesis to explain this process is that the IC
activity near the region CD, present with very limited convective
development, is activated by a non-standard mechanism the
fact that there is no lightning in the CD core would suggest
that the environment was not supportive for electrical dis-
charges. However, a self-triggered CG, i.e. induced by the
presence of a tall tower, may have contributed to charge
redistribution, triggering subsequent IC activity. This would
explain why during this event CG precedes ICs, and IC and CG
are more frequent near tall towers, and are not necessarily
associated with precipitation maxima.
5. Discussion and concluding remarks
The 8 of March 2010 thundersnow event over Catalonia
was remarkable for a number of reasons, including both me-
teorological and social impact aspects due to the abundance
of wet snow combined with wind. Daily precipitation was
over 100 mm and snow accumulations, particularly over low
altitude terrain, were important exceeding 50 cm in some
areas, and reaching 2 to 3 cm at sea level, covering large
extensions of beaches along the coast and collapsing the
transport communication system.
The synoptic framework was dominated at low levels by a
northern flow over Spain due to a blocking high pressure
system on the British Isles, and an upper level cold trough,
which favoured a rapid cyclogenesis over the Mediterranean.
This setting provides necessary elements for heavy precipi-
tation which, given the low temperatures explain the intense
snowfall. However, the mechanisms that lead to thunder-
storm occurrence were not so clear. Radiosonde data in-
dicated that no deep unstable layer was present but there
was an increase of potential instability at low levels. Weather
radar observations indicated predominance of stratiform
precipitation and some low-topped convection, with maxi-
mum reflectivities and tops mostly below 40 dBZ and 4 km
respectively in agreement with similar winter thunder-
storm studies in the Mediterranean such as Altaratz et al.
(2001). The presence of mesoscale gravity waves, revealed
here by satellite and radar observations, could be a triggering
element for convection, as described in the past regarding
several thundersnow events explaining local intensification
of precipitation. However, in this case lightning was relative-
ly unrelated to total precipitation maxima.
Therefore a second, possibly complementary factor, lead-
ing to lightning occurrence was the triggering effect by tall
telecommunication towers of cloudtoground flashes. Ac-
cording to Rakov and Uman (2003) the proximity of the cloud
charge to ground and the relatively large horizontal extent of
that charge observed in winter thunderstorms favours the tall
tower lightning triggering effect. Under these favourable
conditions, the simple presence of a tall structure may lead to
the formation of upward leaders and an increase in the num-
ber of lightning strikes (of upward lightning) to the structure
(Mazur et al., 2010). This hypothesis is supported on the
particular characteristics of total lightning observations near
and far from telecommunication towers and comparisons
with weather radar data in precipitation areas with and with-
out convection.
Acknowledgements
Pictures shown in Fig. 4a and b were adapted from Aran et
al. (2010) and the picture in Fig. 4c was provided by the first
author. The satellite MODIS images were retrieved from the
MODIS NASA web site. We appreciate valuable discussions
with Ramon Pascual (AEMET) about this event, data and
comments provided by the Voluntary Spotter Team and the
Forecasting Team of the Meteorological Service of Catalonia,
and also suggestions by two anonymous reviewers which
helped to improve the final form of this paper.
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... The first one considers a set of severe or non-severe thunderstorms, searching for relationships during their life cycle ( [11,12]). In general, the analyses are focused only on particular events, considering some different radar parameters, such as the surface reflectivity, the echo top for a certain reflectivity threshold, the Quantitative Precipitation Estimation (QPE) ( [13,14]), or the Vertically Integrated Liquid (VIL) ( [15]). Other studies are centered on the relationship in mesoscale convective systems ( [16]) or in contrast to lightning activity in thunderstorms over land and sea surfaces ( [17]). ...
... Finally, the Ebro Valley is a plateau that connects Catalonia with the rest of the Iberian Peninsula, resulting in a route whereby deep convective thunderstorms approach from the West ( [28][29][30]). Different studies presented different precipitation regimes occurring in the analysis region ( [11,13,31]). For instance, warm rain events occur during the transitions between cold and warm seasons (and vice versa). ...
... Third, the thundersnow events of the cold season affect the smaller ranges near or over the coastal areas. These events could have moderate lightning flashes rates ( [13]). During the cold season, the stratiform regime predominates with vertical cloud development around 2-4 km ( [36][37][38]). ...
Article
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The rainfall regime is changing in the Catalan territory, likely in most areas in the Mediterranean Basin. This variability, spatial and temporal, means that there may be periods of severe drought combined with periods of heavy rainfall and floods. In this way, the management of water resources is complicated and can produce a high impact on different social aspects. The high convective activity leads to investigating the relationship between the electric discharges and radar parameters (reflectivity, echo top, vertically integrated liquid, and accumulated rainfall). The correlation allows identifying some elements that may be significant in terms of changes in rainfall regimes. Besides, using several radar parameters apart from precipitation accumulation reveals interesting explicit patterns of the previously known. These patterns can help better understand the precipitation behavior and the changes associated with it.
... Snowfall episodes generally occur between late autumn and early spring and are mainly restricted to mountainous areas. However, occasional snowfall at low altitudes has been reported below 700 m a.s.l, and can generate a significant socioeconomic impact because of infrastructure vulnerability and high population density (Bech et al., 2013;Llasat et al., 2014). ...
... These events, their identification code, and the number of observations are listed in Table 1. They included the March 8, 2010 event, which notably affected the city of Barcelona and the NE of Catalonia (Bech et al., 2013;Llasat et al., 2014), a three-day event in February 2018 and the so-called Storm Filomena in January 2021, which affected extensive parts of the Iberian Peninsula. Two precipitation phase observation sources were used: the Integrated Surface Database (ISD) and Xarxa d'Observadors Meteorològics (XOM). ...
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Heavy snowfall events can cause substantial transport disruption and exert a negative socioeconomic impact, particularly in low‐altitude and midlatitude regions, where it seldom snows. Such problems may be exacerbated if there are rapid transitions between different precipitation phases within the same event. Previous studies have addressed this issue using precipitation‐phase nowcasting techniques, often focusing on critical infrastructures such as airports. Very short‐range forecasts are usually based on trends of observations and numerical weather prediction models. Nowcasting schemes considering the precipitation phase generally merge extrapolated surface observations, modelled vertical temperature profiles, and extrapolated weather radar precipitation fields. In this study, a precipitation‐phase nowcasting scheme was developed and evaluated, initially using eight different algorithms to classify precipitation into rain, sleet or snow, together with a probabilistic weather radar data extrapolation technique. In addition, three combinations of the previous algorithms were also evaluated. The nowcasting scheme was applied to a midlatitude region in the Northwestern Mediterranean to assess its performance during eight snowfall events. Single and combined algorithms were compared to determine their suitability in conditions close to freezing point, when there is increased uncertainty about the precipitation phase. The results indicate that, although single and combined algorithms perform similarly, the latter can provide valuable information during event monitoring. Precipitation phase transitions were also analysed, finding that on average they can be forecast correctly with a lead time of 120 min. The proposed methodology can be readily applied to other regions where ground‐based observations, weather radar data, and model forecasts are available.
... Moreover, Parsivel provides the precipitation type in different standard formats used at SYNOP weather reports or METAR observations defined by the World Meteorological Organization [12], including the following eight classes: 1) drizzle, 2) rain, 3) rain and drizzle, 4) snow with rain and/or drizzle, 5) snow, 6) snow grains, 7) soft hail -also called graupel-and 8) hail. Precipitation type is an important feature of precipitation for many applications, for example when there are cold season thunderstorms or storms with transitions from liquid to solid precipitation [13,14,15]. ...
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Precipitation has an effect on wind power at several levels. It affects the wind current, blade status, wake development and power production. Power production is affected by the harmful effect of precipitation on the blades eroding its surface and altering their aerodynamic performance. In the past decades, wind has been characterized using different techniques, but less effort has been devoted to precipitation measurement. In this work, the results of an experimental campaign performed at a high altitude complex terrain site to characterize precipitation using high resolution observations are presented. The campaign, carried out at CENER’s experimental wind farm (Alaiz) during 2023 within the framework of the Horizon Europe AIRE project, lasted nine months and different precipitation types (rain, snow, graupel) were recorded using a Micro Rain Radar (MRR), a Parsivel disdrometer and a rain gauge co-located with an instrumented wind mast with anemometers and wind vanes at different heights. Two case studies are selected to illustrate the wide range of variability found in precipitation conditions, particularly during the cool season. Precipitation characterization is very challenging at high temporal resolution, making necessary measurement campaigns with different precipitation equipment to optimize their performance and optimise its calibration. The study of precipitation profiles with MRR will support the study of precipitation impingement on wind turbine blades responsible of blade erosion. Moreover, these measurements will contribute to create the link between in-field wind farm data, laboratory experiments in rain erosion test rig and blade damage models necessary to improve wind turbine and wind farm design and operation.
... Sounding data used are from twice a day, for 00.00 and 12.00 UTC. This region is prone to be affected by different types of adverse weather (hail [2], heavy rain and floods [26], snow at low altitude [27], tornadoes [28], etc.). Before, the understanding capacity of the thermodynamic conditions over Catalonia was poor (Gibergans-Báguena and Llasat [22]). ...
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The hailstorm of 30 August 2022 in the NE of Catalonia (NE of the Iberian Peninsula) produced the largest hail size, with diameters exceeding 10 cm. Furthermore, hail occurrence exceeded 2 cm in fourteen days and 4 cm in seven days during August 2022. The size and the days number constituted new records in Catalonia for at least the last 30 years. The analysis has compared the thermodynamic values derived from the sounding of Barcelona with the climatic data for 1998–2022 (25 years of data). This fact has allowed the selection and evaluation of different thermodynamic parameters’ behaviour during hail days in Catalonia. In this research, the precipitable water mass provided the best results as a hail forecaster. Second, the study has evaluated if the different parameters have a significant trend during the study period. The answer is yes in all cases, but some parameters presented a stepped rise while others increased smoothly. Finally, the research has analysed if the parameter values during August 2022 were extraordinary compared with the rest of the period. In this case, the thermodynamic parameters nature was well correlated with the hail size and occurrence maximums of August 2022.
... en/solutions/linet-systems/) and the Blitzortung network (https://www.blitzortung.org). Some studies have shown that electrical discharges can be triggered by tall structures such as skyscrapers or telecommunication towers, or by gravity waves that are affected by rugged orography (Bech et al., 2013;Warner et al., 2014). From this viewpoint the shape of the hill and the shape of the observatory including a telecommunication tower located near the observatory could have a triggering effect, but we cannot confirm it for the winter storm investigated in this article. ...
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The study analyses a winter thunderstorm that passed over the Milešovka meteorological observatory on 4 February 2022, between 2300 and 2330 UTC. Lightning was recorded directly over the observatory by both the observer and the EUCLID lightning network at 2320 UTC. To analyse the state of the atmosphere at the time when the lightning occurred, we used data from the X‐band Doppler polarimetric radar and the Ka‐band Doppler polarimetric vertical profiler, both located at the observatory. We also applied data from the Meteosat Second Generation satellite, and data from standard meteorological instruments located at the observatory. In addition, we run our cloud electrification model to simulate cloud electrification of the winter thunderstorm to find out whether the model develops conditions suitable for the occurrence of lightning and if so, under what circumstances. Our results show that the lightning appeared at the very end of the storm passage defined by high radar reflectivity. At the same time, it is clear from the radar observations that before lightning occurred, the cloud contained hydrometeors (graupel, cloud or rain water, and ice or snow) which are commonly associated with charge separation by collisions. Our analysis of the radar data also suggests that in at least several parts of the cloud the electric field was strong. Although the cloud top height was very low compared to summer storms, the model results indicate conditions suitable for lightning occurrence. However, uncertainty remains on how to properly formulate the initial conditions for model simulations for this type of storm which was shallow and occurs rarely in winter.
... A closer look showed that lightning flashes were sometimes clustered, mostly near wind farms (Fig 2). Clustering around tall human-made objects such as communication towers and WT, has already been reported during winter snowstorm episodes [44,45,46]. [47,48,49], which require less intense electric fields compared to negative streamers, by about a factor of 2 [50]. ...
Conference Paper
Winter storm Filomena battered the Iberian Peninsula on the 9-10th January 2021, covering the eastern half of Spain with a huge amount of snow. Apart from the historical snowfall, lightning activity was observed during this snowstorm episode. Although most of lightning was oversea, lightning hotspots were observed in different regions across the Iberian Peninsula, such as Galicia, Asturias, Catalunya and Andalucía. A closer look at the inland lightning hotspots showed wind turbines in the close vicinity of most of the lightning. The analysis of the ERA5 variables has shown that environmental conditions were prone to winter lightning. One of the most representative is the height of the −10 °C isotherm, a key variable for cloud electrification. A low height of the −10 °C enhances electric fields at the top of tall man-made structures, like the wind turbines, favouring the inception of upward lightning. Moreover, moving blades are exposed to stronger local electric fields than static objects, favouring the initiation of stable lightning leaders and subsequent lightning strokes.
... The study of the thunderstorm's life cycle considers a set of cases, mainly severe, searching for the links between radar observations and electrical activity [13,14]. Few of the different radar parameters used are the surface reflectivity (adjusted to zero km height), the echo-top of 40 dBZ, and the Quantitative Precipitation Estimation (QPE) [15,16], the echo top of 12 and 50 dBZ, and the Vertically Integrated Liquid (VIL) [17]. ...
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The Metropolitan Area of Barcelona is a densely populated region in the North-East of the Iberian Peninsula. Infrastructures in this area play a significant role in the economy of this part of Europe. The combination of the Mediterranean Sea and the complex topography is responsible for the occurrence of severe weather events in this location and the surrounding areas. The use of remote sensing data in an hourly resolution allows the identification and characterization of those severe episodes, helping in determining the future trends of the adverse weather. This fact is crucial in the development of new engineering projects, as well as in the maintenance of the current ones. Weather radar and lightning observations have enabled the monitoring of an increase in severe weather occurrence and, in addition, the prime characteristics of the thunderstorms responsible for producing them. Deepening vertical developments, the presence of hail, and the decrease of the rainfall efficiency are some of the characteristics that must be taken into account in the near future.
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Globally there is already a lot of pressure on water resources because of climate change, economic development, as well as an increasing global populace. Many rivers originate in the mountains, where snowfall fluctuations and the global climate’s inherent unpredictability affect the hydrological processes. Climate change sensitivity has been recognized in recent years and would affect hydropower, such as humidity, cloudiness, and precipitation, that are considered; global warming emerges as one of the most important contributors to climate change. The Yangtze River supports rich biodiversity and provides important ecosystem services for human survival and development. In addition, climate changes, particularly short-term and long-term precipitation and temperature fluctuations, influence the snow regime and the hydrological development of river flow response at the basin and sub-basin scales. More precise this review focused to understand the hydropower potential, freshwater fisheries, and hydrological response of snow dynamics in snow-dominated basins.
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This study aimed to reveal the temporal statistics, formation mechanisms, suitable land/sea surface (LS/SS) and upper-level atmospheric conditions, and predictability of thundersnow (TSSN) events that occurred between 2000 and 2021 in the Marmara Region with atmospheric stability indexes. Aviation reports from 11 airports were analyzed throughout the period, and no TSSN events were found at four airports. A total of 19 TSSN events were identified, and six events were found in 2015, when the sea-effect snow (SES) mechanisms were observed four times. The majority of TSSN events were of very short duration (0–1 h), and no significant trend was observed in terms of intraday distribution. SES mechanism was observed in 17 of the 19 TSSN events, and the dominance of northern flows was detected at all airports and at the sub-inversion upstream levels. In terms of air-sea interaction, suitable temperature differences between the SS and 850/700 hPa (17 °C and 27 °C on average), and the transfer of heat-moisture fluxes from the SS to the upper-atmosphere were possible in almost all TSSN events. In this way, meteorological parameters were sufficient for the formation and strengthening of the convective layer. In addition, the presence of directional wind shear and the observation of inversion layers restricting convective movements at higher levels instead of near the surface ensured that the moisture requirement, lifting mechanism, and unstable atmospheric conditions required for the formation of TS were provided. The CAPE values were very low for winter TSs. Total Total Index and TQ Index produced the most appropriate results for TSSN prediction.
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The detection and characterisation of the radar Bright Band (BB) are essential for many applications of weather radar quantitative precipitation estimates, such as heavy rainfall surveillance, hydrological modelling or numerical weather prediction data assimilation. This study presents a new technique to detect the radar BB levels (top, peak and bottom) for Doppler radar spectral moments from the vertically pointing radars applied here to a K-band radar, the MRR-Pro (Micro Rain Radar). The methodology includes signal and noise detection and dealiasing schemes to provide realistic vertical Doppler velocities of precipitating hydrometeors, subsequent calculation of Doppler moments and associated parameters and BB detection and characterisation. Retrieved BB properties are compared with the melting level provided by the MRR-Pro manufacturer software and also with the 0 °C levels for both dry-bulb temperature (freezing level) and wet-bulb temperature from co-located radio soundings in 39 days. In addition, a co-located Parsivel disdrometer is used to analyse the equivalent reflectivity of the lowest radar height bins confirming consistent results of the new signal and noise detection scheme. The processing methodology is coded in a Python program called RaProM-Pro which is freely available in the GitHub repository.
Conference Paper
Upward lightning is known to be the most common type of lightning that interacts with tall structures on the surface of the earth. The initial stage of every upward lightning flash is an upward leader. A dart leader-return stroke cycle, i.e., a phase of a cloud-to-ground flash, may follow it. The objective of our study was to identify and interpret the various processes during development of upward positive leaders from tall structures. The objects of our observational setup were two TV towers (324 m and 295 m tall) situated in downtown Kansas City, Missouri, separated by a distance of 1.1 km. Measurements of electrical field changes (dE and dE/dt) were made using a network of five stations in close proximity to the towers. We also used a high-speed video system (1000 frames/sec) that viewed the tops of both towers. We provide a physical interpretation for both the varying luminosity of the upward leader channel during its initial ascent and the pulsing luminosity during much later stages of the established leader channel. Our analysis confirms that pulsed-channel luminosity such as this is a result of recoil leaders (the product of previous stages of the branched upward leader) intercepting the current-carrying leader channel that is still connected to ground. Applying the bidirectional leader concept and electrostatic approximation, we introduce a physical model that interprets the pulse-type luminosity of the existing upward leader channel, referred to in the literature as an “M-component”.
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In the present work, winter thunderclouds and active convective clouds were observed by means of radar with CAPPI (Constant Altitude Plan Position Indicator). The lightning activity is monitored by a local network of sferics direction finders around Komatsu Airport. In midwinter, from January to early March, active convective clouds, 30 dBZ echo tops of which develop up to the -20°C temperature level, exhibit very weak lightning activity called “Single-Flash Storm”, or sometimes fail to generate even a single lightning discharge. The altitude of the -10°C temperature level is between 1.8 to 1.4km in the former case. On the other hand, it is lower than 1.4km in the latter case. These significantly low altitudes of the -10°C temperature level are the main reason for keeping such clouds in a weak or non-lightning situation. Concerning the classification of the lightning activity, the author has proposed the following criteria: (a) When the altitude of the -10°C temperature level is higher than 1.8km, clouds exhibit strong lightning activity. (b) When the altitude of the -10°C temperature level is between 1.8 to 1.4km, clouds exhibit very weak or no lightning activity. (c) When the altitude of the -10°C temperature level is lower than 1.4km, clouds never generate a lightning discharge. Along with the results of thundercloud investigation stated in Part I of the present article (Michimoto, 1991), it is concluded that the necessary conditions for convective clouds to generate lightning discharge are as follows: (1) The 30 dBZ echo of the clouds has to develop at a level higher than the -20°C temperature level. (2) The altitude of the -10°C temperature level has to be higher than 1.4km. (3) The clouds have to involve rapid development of graupel particle precipitation; specifically, they have to involve formation and rapidly vertical movement of 40-to-50 dBZ echo cells.
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The ascent rates of individual radar echoes of thunderclouds in the Hokuriku district were investigated in relation to lightning activity. Both CAPPI radar and the sferics direction-finding system were used for this investigation. Multicell-type thunderstorms containing several moderate to strong precipitating domains were observed by means of a conventional 5.7 cm weather radar and 100.5 MHz sferics direction-finding system installed at Komatsu Airport and its periphery. The results are briefly summarized as follows: 1) The first lightning discharge appears about five minutes after the 30 dBZ reflectivity echo exceeds the -20°C temperature level. 2) The mean ascending velocity of echoes just before the initial reception of sferics from them is about the same both in summer and winter. By contrast, in cases without lightning activity, the 20-to-45 dBZ echoes have nearly the same ascending velocity as those with lightning activity in winter, but, in summer, the 20 and 25 dBZ echoes have a higher ascending velocity and the 30 and 35 dBZ echoes and equal or lower velocity than those with lightning activity. 3) In cases of very intense lightning activity, the 20-to-35 dBZ echoes ascend much faster than the 40 and 45 dBZ echoes in summer, while in winter, the 20-to-35 dBZ echoes ascend slowly or remain stationary and the 40 and 45 dBZ echoes ascend very fast. 4) In both summer and winter, the peak of lightning activity is observed when several strong echoes of 45 or 50 dBZ are formed at the -10°C temperature level and descend toward the 0°C temperature level. Takahashi (1984) established a rational thundercloud model through numerical calculation and clarified the characteristic convective and electrical activity of cloud cells in correlation with their life cycle. The present observational results can be interpreted as evidence that Takahashi's model corresponds well with actual thunderclouds observed in the Hokuriku district.
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The US National Lightning Detection NetworkTM (NLDN) has provided lightning data covering the continental United states since 1989. Using information gathered from more than 100 sensors, the NLDN provides both real-time and historical lightning data to the electric utility industry, the National Weather Service, and other government and commercial users. It is also the primary source of lightning data for use in research and climatological studies in the United States. In this paper we discuss the design, implementation, and data from the time-of-arrival/magnetic direction finder (TOA/MDF) network following a recent system-wide upgrade. The location accuracy (the maximum dimension of a confidence region around the stroke location) has been improved by a factor of 4 to 8 since 1991, resulting in a median accuracy of 500 m. The expected flash detection efficiency ranges from 80% to 90% for those events with peak currents above 5 kA, varying slightly by region. Subsequenmt strokes and strokes with peak currents less than 5 kA can now be detected and located; however, the detection efficiency for these events is not quantified in this study because their peak current distribution is not well know.
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There is no absolute protection against lightning because of its random and capricious nature. However, the risk of being struck by lightning can be substantially reduced. There are general safety rules that apply to all athletic and recreational events. The athlete should have a proactive plan that can be instituted when storms approach. He/she should go to a safe shelter before the storm arrives and stay there until the danger is gone. Because the location, climate, terrain and playing site vary with different sporting activities, safety plans may have distinct elements for different recreational activities. Mountain climbers should know the weather patterns of their locale. The highest frequency of lightning strikes in the Rocky Mountains occurs between 11am and 9pm during the months of April to September. There is less chance of a hiker encountering lightning during the early morning hours. Many tourists are unaware of this pattern, which may possibly explain the finding that most lightning victims are visitors from other states. The bicyclist is as vulnerable as anyone in the open. In the event of lightning he/she should seek safe shelter and get off the bike. Rubber tires do not provide protection from lightning. Golfers continue to make the same mistakes year after year. Golfers should know to seek safe shelter (clubhouse or closed metal vehicle) before the storm arrives and not return prematurely to the golf course. They should avoid isolated trees, open fields, unsafe sheds and metal poles. They should separate from each other rather than gather together. Swimmers should get out of the pool and find a safe shelter. Safe areas do not include poolsides, under awnings or under trees. A nearby closed automobile may be the safest place until the danger is gone. Applying precautions when engaging in these sporting or recreational activities will help to minimise the risk of casualties or fatalities caused by lightning.