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The February 2012 exceptional snowfall along the Adriatic side of Central Italy

Authors:

Abstract

Between the end of January and mid February 2012, the Italian peninsula has been subject to the influence of many advections of arctic-continental air generating a series of cyclogenesis over the central Mediterranean Sea. This caused widely spread mainly snowy precipitation, often persistent, mostly affecting the central-southern Regions, as well as Rome and Naples. Snowfalls and low temperatures caused some sixty casualties, besides huge damage to economic and productive facilities. The analysis of a large number of nivometric monitoring points, belonging to different institutions (Meteomont, Military Aviation, Civil Protection and Universities) allowed evaluating the spatial distribution of total snowfall. Comparing these figures with those referring to past perturbation phases similar in length - recorded in the winter of 1929, 1956, 1985 and 2005 - demonstrates that the 2012 event can be considered exceptional being characterized by a higher total thickness of snow cover almost everywhere along the hills and low mountains of the Adriatic side of Central Italy.
THE FEBRUARY 2012 EXCEPTIONAL SNOWFALL ALONG THE
ADRIATIC SIDE OF CENTRAL ITALY
C.
B
ISCI
1
, M.
F
AZZINI
2
with collaboration of
G.B
ELTRANDO
3,
A.
CARDILLO
4
and
V.R
OMEO
5
1
University of Camerino, School of Environmental Sciences, Camerino, Italy.
2
University of Ferrara, Department of Physics and Earth Sciences, Ferrara, Italy.
3
Université Diderot – Sorbonne Paris Cité, UMR 8586 du CNRS, Paris, France.
4
Regione Molise – Department of Civil Protection – Campobasso, Italy.
5
Ministry of Agriculture and Forestry – Servizio Meteomont – Rome, Italy
.
Corresponding author: Massimiliano Fazzini, University of Ferrara - Department of Physics and Earth Sciences – Via Saragat, 1
44100 Ferrara; email: fzzmsm@unife.it
Abstract – Between the end of January and mid February 2012, the Italian peninsula has been subject to the
influence of many advections of arctic-continental air generating a series of cyclogenesis on the central
Mediterranean Sea. This brought to diffuse mainly snowy precipitation, often persistent, mostly affecting the
central-southern Regions, as well as Rome and Naples. Snowfalls and low temperatures caused some 60
casualties, besides huge damage to economic and productive facilities. The analysis of al large number of
nivometric monitoring points, belonging to different institutions (Meteomont, Military Aviation, Civil
Protection and Universities) allowed to evaluate the distribution of total snowfall. Comparing these figures
with those referring to past perturbation phases similar for length - recorded in the winter of 1929, 1956, 1985
e 2005 - it was possible to realize that the 2012 event can be considered exceptional being characterized by a
higher total thickness of snow cover almost everywhere along the hills and low mountains of the Adriatic side
of Central Italy.
Zusammenfassung - Zwischen dem Ende von Januar und der Mitte von Februar 2012, wurde die italienische
Halbinsel von der Ankuft der artische-kontinentale Luft getroffen, die ein Cyklogenesis im Raum des
zentralen Mediterran bewirken. Es folgen verbreitet, schneeige und andauernde Niederschlaege, die am
meistens die suedliche Regionen Italiens sowie die Staedte von Rom und Neapel treffen.Der Schneefall und
die niedrige Temperaturen haben etwa 60 Personen getoetet und die gesamt Produktionswirtschaft
beschaedigt. Von der Analysis von vielen nivometrischen Kontrollpunkte, die zu verschidenen
Forschungaemte gehoeren (Meteomont, Aeronautica Militare, Protezione Civile, Universitaet), hat man die
gesamte Schneeakkumulation rechnen gekoennt; von dem Vergleich der bestehende nivometrische Daten und
der historischen Winterdaten der Jahren 1929, 1956, 1985 und 2005, hat man beobachten gekoennt, wie das
neue Ereignis im Raum des Huegelgebietes des mittleren adriatischen Hanges “aussergewoehnlich” erklaert
koennte.
Keywords:, February 2012, exceptional snowfall, Central Italy
Introduction
This study aims at
analyzing
descriptive and dynamic climatologic features
of the atmospheric events which caused diffuse
snowfalls on most of Italy, and particularly the
central portion of its Adriatic side, during the
first two weeks of February 2012 These
phenomena, defined as “never occurred in living
memory” by almost every mass media, have
been sided by strong northern winds and a
definitely severe thermal scene, even though not
as much as in February 1956 and January 1985.
They caused some 60 casualties and economic
damage for ca. 1’000 million Euros, besides
roof collapses in more than 400 buildings and
long lasting seclusion of more than one hundred
villages in the hilly and mountainous sectors.
The Adriatic side of Central Italy every winter
is affected even at low elevations by often
abundant snowfalls. Notwithstanding this, until
a few years ago the monitoring of snowfalls has
been limited to the higher portion of the
Apennines; as a consequence, studies on
climatology of snowfalls and related synoptic
observations are very rare and mostly deal with
the mountain area (Fazzini et al., 2005 il y a
deux Fazzini 2005, precise ex 2005a, 2005 b;
Fazzini, 2007; Fazzini & Romeo, 2011).
The study area
The study area almost
exactly corresponds to the Adriatic side of
central Italy, including (from the North to the
South) the Emilia-Romagna, Marche, Abruzzo
and Molise Regions. It covers more than 35’000
sq.kms and is characterized by the presence of
the Central Apennines, a rather well organized
mountain belt siding to the West the Adriatic
Sea running almost in parallel at a distance
generally ranging between 40 and 60 km; this
distance becomes progressively larger to the
north (where the narrow coastal lowlands give
way to the wide Po Plain). To the south, the two
major reliefs of the Apennine are included: the
Gran Sasso d’Italia (2’912 m, where remnants
of the southernmost glacier of Europe, the
Calderone, are still present) and the Majella
(2’795 m).
Synoptic weather conditions on the
period
After a first half of winter
characterized by a rather mild and really dry
climate, at the end of January the synoptic
circulation dramatically changed as a
consequence of a moderate episode of polar
stratwarming. This caused a marked expansion
towards Scandinavia of the Azores anticyclone
which thus formed a Wejkoff bridge with the
Russian-Siberian anticyclon. Accordingly,
pressure fields on the Mediterranean
progressively yield and the baric contrast
activated intense fluxes of polar air (alternately
intermediate and continental) which in turn
originated continue and repeated cyclogenesys
on the Central Mediterranean area. As a result,
weather was continuously perturbed, with
diffuse instability phenomena.This atmospheric
event can be split into two phases, separated by
a period of relatively weak snowfalls.
The first phase (January 31
st
to
February 4
th
)
During the last day of
January 2012, intermediate polar air currents
connected to a well-structured low pressure
system coming from the British Isles reached
the Mediterranean through the Rhone valley;
this caused rapid cyclogenesis in the lee of the
Maritime Alps, along the Ligurian Gulf; the jet
at altitude determined a strong advection of
potential vorticity (APV). Orographic and
synoptic features brought the cyclonic structures
to move very slowly Southeastward, attracting
gradually colder and rather unstable currents
from the East on the Adriatic sectors. These
additional thermal contrasts determined the
typology of precipitations (even thunderstorms),
which reached their peak on February 1
st
and 2
nd
along the hills and low mountain area between
the Romagna and Marche Regions and on
February 2
nd
and 3
rd
in the high valleys of
Abruzzo and in the upper Molise (Sangro,
Aterno).During this phase, snowfalls
sporadically affected the coast, particularly
because of the strong northern winds stirring
atmospheric layers near the ground and bringing
heat from the sea, whose temperature was
around 12 C. Between February 3
rd
and 6
th
,
currents came from southwest at altitude and
from northeast at the ground, where the freezing
level dropped to the sea level. This induced a
secondary but significant phenomenology in the
whole study area, especially in February 4
th
,
with snowfall down to the coast and significant
accumulations on the ground along hills and
foothills exposed to the first quadrant, as a
consequence of an intense stau effect.
The second phase (February 9
th
to
February 12
th
)
Between February 6
th
and
9
th
, the cyclonic area migrated to the Central
Mediterranean, thus favoring short weather
amelioration even though temperatures become
even lower, mostly during the night. On Friday
10
th
, a new very cold vorticity nucleus,
originated on Scandinavia and present up to
500Hpa geopotential, reached Italy deepening
on the Tyrrhenian and bringing a new
significant worsening of climate. The most
significant effects have been observed on
Saturday 11
th
and Sunday 12
th
, when the entire
study area was affected by heavy snowfalls -
more abundant once again between the
Romagna and the Marche Regions - with
summed up to some 150 cm along some
windward Apennine slopes. Progressive
reduction of the phenomena has been observed
starting from the north since the morning of
February 13th.
Observations at the snow fields
A large amount of monitoring points (about
230) located at altitudes ranging from the sea
level up to ca. 1’900 m have been taken under
observation; most of them belong to the
monitoring networks Nevemont and
Meteomont”, both managed by the “Corpo
Forestale dello Stato” (State Forestry); the
Nevemontnetwork, covering hills and plains,
is mostly used by the Civil Protection. Further
observations have been collected from the
monitoring networks of the Meteorological
Services of the regional functional centers for
Civil Protection of the Emilia-Romagna,
Marche, Abruzzo and Molise Regions. The
latter have generally been created in the late
‘90s; from ca. 1920 up to their establishment,
snow cover was surveyed by the former
National Hydrographic Service (Ministry of
Public Works).Despite the change of operators
and the heterogeneity of the Institutions in
charge of the measures, surveys always
followed the same methodology, i.e. reading of
the total height of the snow cover on a vertical
graduated rod, at around 9 am each day.
Sometimes, this observation is sided by an
estimation of the amount of fresh snow
deposited during the last 24 hours, measured
over a small wooden board left clean and
horizontal every day above the snow blanket.
Unfortunately, in some places the location of
the measuring rod has been significantly
changed (sometimes bringing it to places with
an altitude that differs for several hundred
meters).Notwithstanding this lack of
homogeneity, it has been possible to compare
the February 2012 event with the most
conspicuous snowfalls of the last century, i.e.
with those having long duration and strong
intensity (Table 1; data deriving from stations
that have been significantly moved are in italics
while minor displacements have been
disregarded). Snow cover measurements in a
mild climate (such as the “almost-
Mediterranean” one of the Adriatic hills) are
always difficult to carry out and often bring to
underestimation as a consequence of fast
rearrangement processes affecting the snow in
the period comprised between the observations
(typically 24 hours) and, mostly, because of the
strong winds irregularly reshaping the blanket
during and/or after the snowfall.No significant
relationship between snow cover and altitude
(Fig. 1) has been found (R
2
=0.17 for linear
correlation, slightly better for higher order
interpolators, cela est fonction du nombre de
points utilizes pour faire ton calcul, mais OK sur
le fait qu’il y a peu de relation entre les deux);
also the spatial distribution of total snowfall
(Fig. 1) is uneven and difficult to describe.
Anyhow, it is important to highlight the peak
present at altitudes ranging around 500 m,
corresponding to stations located on the hills
between the Marche and Romagna, where
snowfalls were particularly abundant.The map
in figure 1 has been interpolated using GIS tools
(ESRI ArcInfo 9 and Intergraph GeoMedia Pro)
basing upon all the 228 available recording
stations, also taking into account a huge mass of
unofficial data that allowed to reconstruct at
best the pattern of snowfall distribution. It
highlights a noteworthy regularity of snowfall
distribution in the Romagna foothill area (inland
of Rimini), with isolines becoming closer
approaching the higher reliefs, thus confirming
the relevance of stau phenomena connected
with the complex orography of the sector. This
observation is confirmed by the penetration of
isolines along the bottom of some of the wider
valleys, i.e. by thicker snow cover on the low
hills close to the coast than on inner valley
bottoms. The 100 cm isoline is generally located
close to the coastline, exception made for the
wave-cut reliefs of the Ancona area, where also
along the coast higher values were recorded;
this once more testifies for orographic
precipitation, since elsewhere all along the coast
and in the terminal reach of the valley bottoms
the thickness of the snow blanket never exceeds
80 cm. Generally, on the hills closer to the sea
and along the intermediate reaches of the
valleys the overall snow cover ranges between
100 and 150 cm, to reach 150-200 cm on the
Romagna plain and on the inner hills of the
Marche, exceeding 200-250 cm in the
mountainous sector. The most outstanding
figures (250 to 340 cm) have been recorded
along the foothills at the boundary between
Marche and Romagna, with a peak exceeding
350 cm in the Mt. Carpegna (whose top reaches
1415 m) area. In this sector, noteworthy is the
snow cover recorded in the town of Urbino (426
m), where the cumulated values reached 326 cm
and 200 centimeters of snow was measured on
the ground (Serpieri Meteorological
Observatory, personal communication, fig. 3).
Conclusions
Comparing the records of the
2012 event with the historical ones referring to
the most conspicuous snowfalls of the last
century, collected for some 60 sites in the study
area (Table 1), it clearly emerges that this last
snowfall is indisputably to be considered as
exceptional along almost all the Adriatic side of
Central Italy, where its return time could be
considered more than centennial; as an instance,
the Serpieri Meteorological Observatory
(Urbino) evidenced that the overall snow cover
in 2012 was the most abundant from 1884,
whilst in the neighboring Republic of San
Marino it was very similar to that unofficially
measured in January 1895 (as referred by
NimbusWeb). Anyhow, as also observed in the
extremely snowy winter 2004-2005 (Fazzini et
al., 2005), the highest cumulative snowfalls
have been recorded at altitudes ranging between
400 and 800 m a.s.l., while they tended to
decrease at higher elevations. This observation
confirms that in almost all the study area a
meteoric optimumexists at altitudes between
600 and 900 m (Bisci et al., 2002); it could also
have been influenced by the strong action of
winds that dramatically remodeled the snow
blanket, mostly along the tops of the reliefs and
the ridges. Only locally, i.e. along the wind
exposed mountain slopes in the southern part of
the study area - in southern Abruzzo (e.g.
Pescasseroli) and in Molise (e.g. Capracotta) -
the figures recorded in February 2012 are
slightly lower than those measured during the
most conspicuous events of the last century.
Acknowledgements -
A special thank goes
to the Regional functional centers for Civil
Protection of the Emilia-Romagna, Marche and
Molise Regions, for having furnished
nivometric data and for the help given in finding
historical records, to Dott. Francesco Costanzo
for the linguistic revision of the paper and to the
many observers that gave us a huge amount of
unofficial data that were instrumental for a more
detailed regionalization of the official data.
References
B
ISCI
C.,
F
AZZINI
M.
&
C
OCCIA
N. (2002) –
Analyse spatio-temporelle des séries de
températures dans l’Apennin centro-
meridional italien per rapport aux
paramétres topo-géographiques. Actes XV
Colloque AIC “Application de la
climatologie aux echelles fines”, 29-30.
F
AZZINI
M. (2007) Caratterizzazione generale
dei fenomeni di innevamento in Italia. Neve e
Valanghe, 60, 36-49.
F
AZZINI
M.,
G
IUFFRIDA
A
&
F
RUSTACI
G. (2005)
Snowfall analysis over peninsular Italy in
relationship to the different types of synoptic
circulation: first results. Proc. 28
th
Conf. on
Alpine Meteorology (ICAM-MAP), Croatian
Meteorological Journal, 40, 650-653.
F
AZZINI
M.,
L
ANZARONE
D.,
R
OMEO
V.,
G
ADDO
M.
&
B
ILLI
P. (2005) Inverno 2005: le
nevicate eccezionali sull’Italia centrale
analisi meteo-climatica e nivologia
dell’evento. Neve e Valanghe, 55, 6-15.
F
AZZINI
M.
&
R
OMEO
V. (2011)
L’enneigement dans les Apennines durant les
dernier 30 ans. Actes XXIV Colloque AIC
“Climat montagnard et risque”, 249-254.
Figure1 – The Study area. White lines depict the distribution of total snowfall in the studied period,
while dashed gray lines follow the regional boundaries. For every station the overall recorded snow
thickness is indicated. The graph evidences poor relationship between total snowfall and elevation.
Figure 2 –500 hPa and T850 geopotential at 00:00h, February 2
nd
(left) and February 10
th
(right)
(source de la carte ???)
Figure 3 – Exceptional snow cover in the neighboring of Urbino (to the left) and in the Republic of
San Marino (right). Source photos
Table 1 – Cumulated snowfall (cm) for the five most relevant events of the last century in the study
area. Maximum values are highlighted in bold. In particular, the 1929 snowfalls apply to the
period February 6 - 19, the 1956period of February 3 -19, those of 1985 to the period January 2 -
18, those of 2005, to the period 24 January -3 February
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... FIGURE 2 | Schematic of compound hydrometeorological extremes: (A) heat-wet (Soneja et al., 2016;Wang S. S.-Y. et al., 2019;Imada et al., 2019;, (B) heat-humid extremes (Fischer and Knutti, 2013;Poppick and McKinnon, 2020;Yuan et al., 2020), (C) cold-wet (Bisci et al., 2012;Hao et al., 2018;Hochman et al., 2019;De Luca et al., 2020) and (D) cold-dry (Dabhi et al., 2018;Wu Y. et al., 2021;Potopová et al., 2021). The Clausius-Clapeyron scaling represents the water holding capacity of the atmosphere corresponding to air temperature changes (Held and Soden, 2006). ...
... With 195 days of snow cover (estimated from 1 December 1992), we identified 1993 as the last year in which snow covered the MM peaks until the beginning of June. The year 2012 was particularly snowy in that area (Bisci et al. 2012), but snow on the ground likely disappeared in May (Fig. 6c, red square). Our estimates are in agreement with snow-depth monthly records collected in 2012 at Campitello Matese (a ski resort of the MM, located at 1450 m a.s.l.), indicating that snow only stayed on the ground until the beginning of May. ...
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... Wintertime cold-wet events, especially when associated with snowfall, may also result in costly regional impacts (e.g. Hochman et al., 2019;Bisci et al., 2012). Summer heatwaves and droughts may lead to premature deaths and wildfires, as occurred during the 2003 and 2010 European heatwaves (Shaposhnikov et al., 2014;Bosch, 2003). ...
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... Wintertime cold-wet 40 events, especially when associated with snowfall, may also result in costly regional impacts (e.g. Hochman et al., 2019;Bisci et al., 2012). ...
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Abstract. The Mediterranean (MED) basin is a climate change hot-spot that has seen drying and a pronounced increase in heatwaves over the last century. At the same time, it is experiencing increasing heavy precipitation during wintertime cold spells. Understanding and quantifying the risks from compound events over the MED is paramount for present and future disaster risk reduction measures. Here, we apply a novel method to study compound events based on dynamical systems theory and analyse compound temperature and precipitation anomalies over the MED from 1979 to 2018. The dynamical systems analysis measures the strength of the coupling between different atmospheric variables over the MED. Further, we consider compound hot-dry days in summer and cold-wet days in winter. Our results show that these hot-dry and cold-wet compound days are associated with maxima in the temperature–precipitation coupling parameter of the dynamical systems analysis. This indicates that there is a strong interaction between temperature and precipitation during compound events. In summer, we find a significant upward trend in the coupling between temperature and precipitation over 1979–2018, which is likely driven by a stronger coupling during hot and dry days. Thermodynamic processes associated with long-term MED warming can best explain the trend. No such trend is found for wintertime cold-wet compound events. Our findings suggest that long-term warming strengthens the coupling of temperature and precipitation which intensifies hot-dry compound events.
Chapter
In a way, everything is more complicated than it appears, for we always find new mysteries and new questions in what we think we knew. In another way, everything is simpler than it looks like, for the general features of any complex phenomenon are usually explainable with a simplified representation of reality, called a “model.” Monetary theory and policy are complex topics, which are approached by economic theories based on such models. We won’t dwell deep into these models for we need to understand only two relatively simple points: increasing the money supply creates inf lation and inf lation reduces debt obligations. We’ll then be in a position to look at what the US government can do in this regard.
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