Reconstruction and analysis of 1900-2017 snowfall events on the southeast coast of Spain

Martínez-Ibarra, Emilio; Serrano-Montes, José Luis; Arias-García, Jonatan

doi:10.3354/cr01557

Cited by 7 publications

(5 citation statements)

References 34 publications

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“…Zhou et al revealed an increase in the frequency of heavy snowfall events, while light snowfall events in NEC decreased during 1961-2014 [14]. Furthermore, there has been other research associated with reconstruction of snowfall events in China and other regions of globe, which enhance our understanding of snowfall variability [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Comparison of the Causes of High-Frequency Heavy and Light Snowfall on Interannual Timescales over Northeast China

Wang

Fan

2020

Atmosphere

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This study investigates and compares the reasons for high-frequency heavy and light snowfall in winter on interannual timescales over northeast China (NEC) during 1961–2017. Results indicate that the frequency and its variability are strong over southeastern NEC for heavy snowfall but over northern NEC for light snowfall. Analysis of the annual cycle shows that the maximum frequency of heavy snowfall occurs in November and March due to more warm–wet air masses and increased atmospheric instability, and that of light snowfall occurs in December–January due to drier conditions and increased atmospheric stability. The frequency of heavy snowfall exhibits an increasing trend which partly results from the warming trend in NEC, while that of light snowfall shows a decreasing trend. High-frequency heavy snowfall is associated with a positive North Atlantic Oscillation (NAO), warmer regional air temperatures, an increased water vapor budget associated with an anomalous anticyclone occupying the Kuril Islands, and relatively unstable atmospheric layers. High-frequency light snowfall is associated with a strengthened East Asian winter monsoon, colder regional air temperatures, a decreased water vapor budget, and relatively stable atmospheric layers. High-frequency heavy and light snowfall are both related to eastward-propagating quasi-stationary waves over Eurasia, but with different features. The waves of the former are located in midlatitude Eurasia and related to the positive phase of the NAO. The waves of the latter exhibit two pathways, located in midlatitude and northern Eurasia, respectively. The northern one can be partially attributed to a weak polar vortex. In addition, higher sea surface temperatures of the Kuroshio Extension may contribute to high-frequency heavy snowfall.

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Section: Introductionmentioning

confidence: 99%

Comparison of the Causes of High-Frequency Heavy and Light Snowfall on Interannual Timescales over Northeast China

Wang

Fan

2020

Atmosphere

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“…In some areas such as the one in our study, which considers a small portion of the Apennine chain in central Italy, no detailed or trend studies have been carried out to define a snow cover regime. Snow cover data are often subject to rather large gaps, in some cases recorded manually and only in rare cases automatically with snow measuring weather stations, so that data reconstructions are often necessary [10,11]. In addition, satellite survey data are not always reliable, both in terms of quantity and in terms of the presence or absence of the snow event, so major calibrations with weather stations are necessary, which do not always lead to acceptable results [12][13][14].…”

Section: Introduction 1aim Of the Study And State Of The Artmentioning

confidence: 99%

Analysis of Snow Cover in the Sibillini Mountains in Central Italy

Gentilucci

Catorci

Panichella

et al. 2023

Climate

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Research on solid precipitation and snow cover, especially in mountainous areas, suffers from problems related to the lack of on-site observations and the low reliability of measurements, which is often due to instruments that are not suitable for the environmental conditions. In this context, the study area is the Monti Sibillini National Park, and it is no exception, as it is a mountainous area located in central Italy, where the measurements are scarce and fragmented. The purpose of this research is to provide a characterization of the snow cover with regard to maximum annual snow depth, average snow depth during the snowy period, and days with snow cover on the ground in the Monti Sibillini National Park area, by means of ground weather stations, and also analyzing any trends over the last 30 years. For this research, in order to obtain reliable snow cover data, only data from weather stations equipped with a sonar system and manual weather stations, where the surveyor goes to the site each morning and checks the thickness of the snowpack and records, it were collected. The data were collected from 1 November to 30 April each year for 30 years, from 1991 to 2020; six weather stations were taken into account, while four more were added as of 1 January 2010. The longer period was used to assess possible ongoing trends, which proved to be very heterogeneous in the results, predominantly negative in the case of days with snow cover on the ground, while trends were predominantly positive for maximum annual snow depth and distributed between positive and negative for the average annual snow depth. The shorter period, 2010–2022, on the other hand, ensured the presence of a larger number of weather stations and was used to assess the correlation and presence of clusters between the various weather stations and, consequently, in the study area. Furthermore, in this way, an up-to-date nivometric classification of the study area was obtained (in terms of days with snow on the ground, maximum height of snowpack, and average height of snowpack), filling a gap where there had been no nivometric study in the aforementioned area. The interpolations were processed using geostatistical techniques such as co-kriging with altitude as an independent variable, allowing fairly precise spatialization, analyzing the results of cross-validation. This analysis could be a useful tool for hydrological modeling of the area, as well as having a clear use related to tourism and vegetation, which is extremely influenced by the nivometric variables in its phenology. In addition, this analysis could also be considered a starting point for the calibration of more recent satellite products dedicated to snow cover detection, in order to further improve the compiled climate characterization.

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“…The analysis of journalistic information is one of the most interesting lines of climate research that exist, with important precedents in our country. Together with the use of documentary sources -whether ecclesiastical, municipal or private (Barriendos 1995;Martín and Barriendos 2000)-, the press has revealed to be an important way of transforming qualitative information into quantitative (Ruiz 1998;Pérez 2001;Martínez-Ibarra 2019). As J. Olcina points out, "it brings the researcher closer to the knowledge of the perception of atmospheric facts and climatic variations actually experienced by a society, oblivious to calculations of means, deviations, trends or probabilities that nature often dismantles" (Olcina, 2000).…”

Section: Introductionmentioning

confidence: 99%

Methodology for the historical and synoptic analysis of snows. Its application to the region of Castilla y León (Spain)

Villazán

Morales

2022

Preprint

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A methodology is proposed for the study of snowfall, applied to the autonomous community of Castilla y León (Spain). It is based on two major pillars: the elaboration of a Snowfall Catalogue from the consultation of documentary sources (press) between 1979-2021, which allows cataloging all the episodes that occurred, from October to May; and the synoptic study of the atmospheric dynamics in those 43 years, identifying the different types of weather as a means of validating the cataloged episodes. The database created provides information on its intensity, duration and frequency, as well as its genesis, distribution, typology and climatic hazard. All this has been analyzed and has allowed to recognize different stages in its way of occurring and to estimate trends and behaviours both in the number of episodes and the number of snow days and their assessment in the current situation of climate change.

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Reconstruction and analysis of 1900-2017 snowfall events on the southeast coast of Spain

Cited by 7 publications

References 34 publications

Comparison of the Causes of High-Frequency Heavy and Light Snowfall on Interannual Timescales over Northeast China

Comparison of the Causes of High-Frequency Heavy and Light Snowfall on Interannual Timescales over Northeast China

Analysis of Snow Cover in the Sibillini Mountains in Central Italy

Methodology for the historical and synoptic analysis of snows. Its application to the region of Castilla y León (Spain)

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