A radar-based centroid tracking algorithm for severe weather surveillance: identifying split/merge processes in convective systems

Moral, Anna del; Rigo, Tomeu; Llasat, M. C.

doi:10.1016/j.atmosres.2018.05.030

Cited by 40 publications

(40 citation statements)

References 29 publications

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“…At the same time, autoregenerating V-shaped convective cells, like the one formed during the 6 November 2017 major event ( Figure 6), are systems able to release persistent and intense rainfalls in a given location [77,78]. Taking into account all these considerations, as well as drawbacks affecting remote sensing technologies, we believe that if specific numerical models had been available, both radar and satellite data would have allowed to track and forecast the spatial and temporal evolution of the convective systems that impacted the study area [79,80]. If coupled with suitable rainfall thresholds, they could have been also used in operational early warning systems aimed at risk reduction.…”

Section: Discussionmentioning

confidence: 99%

Characterizing Consecutive Flooding Events after the 2017 Mt. Salto Wildfires (Southern Italy): Hazard and Emergency Management Implications

Esposito¹,

Parodi²,

Lagasio³

et al. 2019

Water

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Every summer, wildfires affect thousands of steep watersheds in Italy, causing the partial or complete destruction of vegetation, and changes in soil hydraulic properties. Such effects alter the hydrologic response of watersheds, increasing post-fire debris and sediment-laden flow hazard. This study characterizes the most relevant predisposing and triggering factors for a sequence of four post-fire flooding events, which, in the late summer-autumn of 2017, affected Montoro village in southern Italy. This research work consists of a fire severity assessment based on multispectral satellite images, characterization of meteorological systems and related flood-triggering rainfall, and provides an overview of the damage that occurred in the repeatedly affected urban area using crowdsourced data. The research findings demonstrate that the analyzed area burned with moderate-high (64.4%) and low severity (35.6%) levels. All the flooding events were triggered by rainfall evaluated as non-extreme, but with relevant peak intensities (I10 and I30), associated with the first convective storms impacting the burned watersheds. The crowdsourced data highlight the fact that roads and buildings on footslopes were inundated by mud and debris transported by rapid flows. The study identifies a clear relationship between wildfires and flooding processes and provides useful information for hazard assessment and emergency management operations.

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Section: Discussionmentioning

confidence: 99%

Characterizing Consecutive Flooding Events after the 2017 Mt. Salto Wildfires (Southern Italy): Hazard and Emergency Management Implications

Esposito¹,

Parodi²,

Lagasio³

et al. 2019

Water

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“…Radar and satellite imagery are often used to track thunderstorm cells in real time for the purpose of nowcasting (anticipating the next most likely movement of the cell) using 3-D reflectivity profiles to define the extent and structure of a thunderstorm (Dixon and Wiener, 1993;Johnson et al, 1998;del Moral et al, 2018). These tracking algorithms have also been applied to historical thunderstorms to develop a catalogue of thunderstorm movements and severity (Chronis et al, 2015;Farnell and Rigo, 2020).…”

Section: Remote Sensing: Satellite Imagery and Radarmentioning

confidence: 99%

“…When using output from multiple radar datasets, they need to be merged into a composite so that thunderstorm clusters can be tracked (Lock and Houston, 2015). The linking of clusters into a track has been achieved using both wind direction data (Lock and Houston, 2015) and the previous motion of the storm (Dixon and Wiener, 1993;Johnson et al, 1998;del Moral et al, 2018). The initiation point of a thunderstorm can be approximated by interpolating backwards using the trajectory of the thunderstorm by a time step of 15 min before it was first detected (Lock and Houston, 2015).…”

Section: Remote Sensing: Satellite Imagery and Radarmentioning

confidence: 99%

Review article: A comprehensive review of datasets and methodologies employed to produce thunderstorm climatologies

Hayward

Whitworth

Pepin

et al. 2020

Nat. Hazards Earth Syst. Sci.

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Abstract. Thunderstorm and lightning climatological research is conducted with a view to increasing knowledge about the distribution of thunderstorm-related hazards and to gain an understanding of environmental factors increasing or decreasing their frequency. There are three main methodologies used in the construction of thunderstorm climatologies: thunderstorm frequency, thunderstorm tracking or lightning flash density. These approaches utilise a wide variety of underpinning datasets and employ many different methods ranging from correlations with potential influencing factors and mapping the distribution of thunderstorm day frequencies to tracking individual thunderstorm cell movements. Meanwhile, lightning flash density climatologies are produced using lightning data alone, and these studies therefore follow a more standardised format. Whilst lightning flash density climatologies are primarily concerned with the occurrence of cloud-to-ground lightning, the occurrence of any form of lightning confirms the presence of a thunderstorm and can therefore be used in the compilation of a thunderstorm climatology. Regardless of approach, the choice of analysis method is heavily influenced by the coverage and quality (detection efficiency and location accuracy) of available datasets as well as by the controlling factors which are under investigation. The issues investigated must also reflect the needs of the end-use application to ensure that the results can be used effectively to reduce exposure to hazard, improve forecasting or enhance climatological understanding.

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“…This and the topography contribute to the occurrence of many severe weather events and heavy rain episodes in Catalonia. Some of these events can produce extended floods or local flash-floods [32][33][34][35]. Most of the flash-floods are due to deep convective systems [36,37]) similar to those that produce severe weather.…”

Section: Area Of Studymentioning

confidence: 99%

The Lightning Jump Algorithm for Nowcasting Convective Rainfall in Catalonia

Farnell

Rigo

2020

Atmosphere

Self Cite

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Previous studies in Catalonia (NE Iberian Peninsula) showed a direct relationship between the Lightning Jump (LJ) and severe weather, from the study of different events, occurring in the last few years in this region. This research goes a step beyond by studying the relationship between LJ and heavy rainfall, considering different criteria. It selects those episodes exceeding the 40 mm/h threshold, dividing them between those with or without LJ occurrence (3760 and 14,238 cases, respectively). The time and distance criteria (<150 km and <50 min, respectively) allow the detection of rainfall episodes with LJ, to establish an accurate relationship between the jump and the heavy rain occurrence. Then, lightning and radar data are analyzed, considering monthly and hourly distributions. Skill scores for the period 2013–2018 showed good results, especially in summer, with values of POD ≃ 90% and FAR ≃ 10%

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A radar-based centroid tracking algorithm for severe weather surveillance: identifying split/merge processes in convective systems

Cited by 40 publications

References 29 publications

Characterizing Consecutive Flooding Events after the 2017 Mt. Salto Wildfires (Southern Italy): Hazard and Emergency Management Implications

Characterizing Consecutive Flooding Events after the 2017 Mt. Salto Wildfires (Southern Italy): Hazard and Emergency Management Implications

Review article: A comprehensive review of datasets and methodologies employed to produce thunderstorm climatologies

The Lightning Jump Algorithm for Nowcasting Convective Rainfall in Catalonia

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