Synoptic conditions of heavy snowfalls in europe

Bednorz, Ewa

doi:10.1111/geoa.12001

Cited by 12 publications

(9 citation statements)

References 23 publications

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“…The phenomenon of snowy or severe winters is of interest to many people and institutions, e.g. in connection with the considerable damage these can wreak in many economies (Beniston et al 2003;Bednorz 2008Bednorz , 2013Kulasová and Bubeníčková 2009).…”

Section: Introductionmentioning

confidence: 99%

Winter severity and snowiness and their multiannual variability in the Karkonosze Mountains and Jizera Mountains

Urban

Richterová

Kliegrová

et al. 2017

Theor Appl Climatol

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This paper analyses winter severity and snow conditions in the Karkonosze Mountains and Jizera Mountains and examines their long-term trends. The analysis used modified comprehensive winter snowiness (WSW) and winter severity (WOW) indices as defined by Paczos (1982). An attempt was also made to determine the relationship between the WSW and WOW indices. Measurement data were obtained from eight stations operated by the Institute of Meteorology and Water Management -National Research Institute (IMGW-PIB), from eight stations operated by the Czech Hydrological and Meteorological Institute (CHMI) and also from the Meteorological Observatory of the University of Wrocław (UWr) on Mount Szrenica. Essentially, the study covered the period from 1961 to 2015. In some cases, however, the period analysed was shorter due to the limited availability of data, which was conditioned, inter alia, by the period of operation of the station in question, and its type.Viewed on a macroscale, snow conditions in the Karkonosze Mountains and Jizera Mountains (in similar altitude zones) are clearly more favourable on southern slopes than on northern ones. In the study area, negative trends have been observed with respect to both the WSW and WOW indices-winters have become less snowy and warmer. The correlation between the WOW and WSW indices is positive. At stations with northern macroexposure, WOW and WSW show greater correlation than at ones with southern macroexposure. This relationship is the weakest for stations that are situated in the upper ranges (Mount Śnieżka and Mount Szrenica).

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Section: Introductionmentioning

confidence: 99%

Winter severity and snowiness and their multiannual variability in the Karkonosze Mountains and Jizera Mountains

Urban

Richterová

Kliegrová

et al. 2017

Theor Appl Climatol

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“…The development of the technique can be traced back to Petterssen (1940), with one of the first applications to the understanding of airmass origins and associated implications for identifying pollution sources attributable to Fox and Ludwick (1976). Although not without its problems and caveats (Draxler and Taylor 1982;Kahl 1993;Seibert 1993;Stohl 1998;Polissar et al 1999;Hondula et al 2010;Fleming et al 2012), back trajectory analysis has been frequently applied in both meteorological and climatological analyses of environmental variables relevant to human health, such as air pollution (Riccio et al 2007;Suthawaree et al 2008;Karaca et al 2009;Makra et al 2011;He et al 2013), precipitation and temperature (Theoharatos et al 2010;Bednorz 2013;Hernandez-Ceballos et al 2013;Katarzyna 2013;Tosic and Unkasevic 2013), pollen (Stach et al 2007;Zemmer et al 2012), and dust (Engelstaedter et al 2009;Sunnu et al 2013). …”

Section: Introductionmentioning

confidence: 99%

Exploring Winter Mortality Variability in Five Regions of England Using Back Trajectory Analysis

et al. 2016

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Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. ABSTRACT: This paper aims to define atmospheric pathways related with the occurrence of daily winter low temperature episodes (LTE) in England, for the 26-yr period 1974-99, and to reveal possible associations with increased mortality rates. For this purpose, backward airmass trajectories, corresponding to LTE in five regions of England, were deployed. A statistically significant increase in mortality levels, at the 0.05 level, was found for LTE, compared to non-LTE days across all five regions. Seven categories of atmospheric trajectory patterns associated with LTE were identified: east, local, west, North Atlantic, Arctic, southwest, and Scandinavian. Consideration of the link between airmass trajectory patterns and mortality levels by region revealed a possible west-to-east split in the nature of air masses connected with elevated mortality. Specifically, for the West Midlands and northwest regions, relatively warm winter weather conditions from the west, most likely associated with the eastward progression of low pressure systems, are allied with the highest daily average mortality counts, whereas, for the northeast, Humberside/York, and southeast regions, cold continental air advection from northern or eastern Europe, which lasts for several days and is linked with either a blocking pattern over the western margins of Europe or an intense high pressure anomaly over eastern or northern Europe, appears important in mortality terms. This finding confirms that winter weather health associations are complex, such that climate setting and airmass climatology need to be taken into account when considering climate and health relationships.

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“…Back trajectories are initialized using wind, pressure, relatively humidity, and temperature fields. Previous studies have applied HYSPLIT to explore the atmospheric flow patterns associated with pollutants (Hondula et al, 2010), precipitating storms (Bednorz, 2013), and extreme cold temperatures (Dimitriou et al, 2016).…”

Section: Back-trajectory Analysismentioning

confidence: 99%

Diagnosing Non‐Gaussian Temperature Distribution Tails Using Back‐Trajectory Analysis

2021

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Anthropogenic warming has intensified drought conditions (Lehner et al., 2006), reduced frost day occurrence (Easterling, 2002), and altered ecosystems (Walther et al., 2002). Although continued and projected warming broadly increases warm and decreases cold extremes (Kharin et al., 2013), these changes will not occur at a uniform rate globally. For example, some regions have experienced changes in seasonal temperature extremes in excess of changes in the mean, including winter warm extremes in Europe (Gross et al., 2019). Previous work showed this region exhibits a shorter-than-Gaussian temperature distribution warm tail, meaning it would experience a more-rapid-than-Gaussian increase in exceedance frequency of a fixed extreme temperature threshold under a uniform warm shift, consistent with climate model projections (Loikith et al., 2018).The prevalence of non-Gaussian near-surface temperature distributions is well-documented (Cavanaugh & Shen, 2014;Perron & Sura, 2013). Recent work has investigated how large-scale dynamics within a background meridional temperature gradient produces large, spatially coherent regions of asymmetrical temperature distributions. For example, atmospheric stirring generated by Rossby wave propagation plays a role in mid-latitude distribution asymmetry (Garfinkel & Harnik, 2017;Linz et al., 2018). Tamarin-Brodsky et al. (2019) also highlighted the role of temperature advection in governing distribution skewness using a Lagrangian feature-tracking technique, with implications for changes in extreme temperatures under global warming (Tamarin-Brodsky et al., 2020).Identifying the fundamental dynamics governing broad temperature distribution symmetry is valuable for determining how extreme temperatures may change in a warming climate. However, non-Gaussian

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Synoptic conditions of heavy snowfalls in europe

Cited by 12 publications

References 23 publications

Winter severity and snowiness and their multiannual variability in the Karkonosze Mountains and Jizera Mountains

Winter severity and snowiness and their multiannual variability in the Karkonosze Mountains and Jizera Mountains

Exploring Winter Mortality Variability in Five Regions of England Using Back Trajectory Analysis

Diagnosing Non‐Gaussian Temperature Distribution Tails Using Back‐Trajectory Analysis

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