Climatology of hail in Argentina

Mezher, Romina; Doyle, Moira Evelina; Barros, Vicente

doi:10.1016/j.atmosres.2012.05.020

Cited by 66 publications

(65 citation statements)

References 19 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, Curić and Janc (2012) documented that frontal hailstorms (62.5%) are more frequent in this area using [1981][1982][1983][1984][1985][1986][1987][1988][1989][1990] data. Other studies (Etkin and Brun, 2001;Zhang et al, 2008;Mezher et al, 2012) have also indicated the strong connection between high hail frequencies and mountain areas. In the warm season, convection is enhanced due to higher temperatures within the boundary layer, leading to large hailstorm updraft velocities and strengths (Browning, 1978).…”

Section: Hail Frequencymentioning

confidence: 92%

Hail climatology in Serbia

Ćurić

Janc

2015

Intl Journal of Climatology

View full text Add to dashboard Cite

This study investigates the spatial and temporal characteristics of hail frequency in Serbia during the period 1949-2012. Two areas covering the whole territory of Serbia are treated: a complex terrain area (CTA) and a flat terrain area (FTA). Our research shows that the highest hail frequencies were found in the southwestern mountainous part of the country in the warm season. In the cold season, the area of maximum hail frequency lies in the region of the Sava and the Danube rivers. During the warm season, the highest hail frequencies are recorded in May and June and the smallest in August and September. This spatial pattern is influenced by the passages of the prevailing fronts, surface air temperatures and the convection enhancement by the mountains during the year. The trends of mean hail frequency are negative, except for the FTA in the dry season (August-September) and the cold season, in which nonparametric methods do not show any trends. The highest hail frequency area does not show any trend in the warm season, but interdecadal variability is significant. In general, the CTA has a greater mean hail frequency for all treated seasons. In contrast, the FTA has a greater maximum of mean hail frequency per station in the dry (August-September) and cold seasons. Although very small, the territory of Serbia also shows other peculiarities. In the last decade, the FTA has shown a strong positive trend of mean hail frequency as opposed to the CTA. This is due to the fact that the ridge of the Azores high extended over the CTA more frequently than before 2000.

show abstract

Section: Hail Frequencymentioning

confidence: 92%

Hail climatology in Serbia

Ćurić

Janc

2015

Intl Journal of Climatology

View full text Add to dashboard Cite

show abstract

“…They highlighted the importance of the moisture flow generated at mesoscale and its interaction with the topography, as well as the detection of sources of moisture and its transport. The influence of topography on convection and hail formation has also been examined in other parts of the world (Etkin and Brun, 1999;García-Ortega et al, 2007;Mezher et al, 2012;Sioutas et al, 2009;Vinet, 2001;Zhang et al, 2008). Quasi-stationary mesoscale convective systems often lead to intense deep convection, thereby producing heavy precipitation events (Nuissier et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Hailfall in southwest France: Relationship with precipitation, trends and wavelet analysis

Hermida

López

Merino

et al. 2015

Atmospheric Research

View full text Add to dashboard Cite

“…Most studies attempted to use the number of hail days or hail frequency as the hazard index, making it impossible to reveal the real hail risk [2,9,10,[12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][65][66][67][68][69][70][71][72][73]. In this study, the datasets of historical hail disasters affecting cotton instead of hailfall events were used.…”

Section: Hail Disaster Risk For Cotton Assessment Methodsmentioning

confidence: 99%

“…This means these areas have great interannual fluctuation in hail disaster occurrences. Numerous studies show that complex landforms result in higher fluctuation of hail occurrence, for example, mountainous areas [1,2,9,10,[13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]33,[36][37][38][39][40][41][42][43][44][45][46]. However, the factors that affect thespatial variance of hail disasters affecting cotton need further analysis.…”

Section: Spatial Variance Characteristicsmentioning

confidence: 99%

GIS-Based Risk Assessment of Hail Disasters Affecting Cotton and Its Spatiotemporal Evolution in China

Wang

Yue

et al. 2016

Sustainability

View full text Add to dashboard Cite

Understanding the spatiotemporal distribution pattern of hail disaster risk for cotton is crucial in mitigating hail disaster and promoting the sustainability of cotton farming. Based on such indexes as hail disaster frequency, spatiotemporal exposure, and vulnerability of cotton, we assess hail disaster risk for cotton, and analyze its spatiotemporal pattern and evolution in Mainland China from 1950 to 2009, supported by geographic information system (GIS). The following conclusions are drawn: (1) The proposed risk assessment method reveals the spatiotemporal difference of hail disaster risk for cotton at the county level.

show abstract

Climatology of hail in Argentina

Cited by 66 publications

References 19 publications

Hail climatology in Serbia

Hail climatology in Serbia

Hailfall in southwest France: Relationship with precipitation, trends and wavelet analysis

GIS-Based Risk Assessment of Hail Disasters Affecting Cotton and Its Spatiotemporal Evolution in China

Contact Info

Product

Resources

About