An Object-Oriented Approach to Nowcasting Showers

Hand, William H.; Conway, B. J.

doi:10.1175/1520-0434(1995)010<0327:aooatn>2.0.co;2

Cited by 23 publications

(10 citation statements)

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“…Most of these techniques automatically use radar echoes features (position, reflectivity, TOP, velocity...) in order to generate short-time forecasts (up to 1 h) and to analyse the life cycle of the storms, considering object-oriented techniques with or without lightning data Brovelli et al, 2005;Hand and Conway, 1996;Soul et al, 2002). In this way, strong relationships between lightning and radar characteristics have been observed (Williams et al, 1989), and they have been used for the development, in operative terms, of methods which combines one of the previous techniques with lightning flashes observations (Bonelli and Marcacci, 2008).…”

Section: Tracking Algorithmsmentioning

confidence: 99%

Analysis of warm season thunderstorms using an object-oriented tracking method based on radar and total lightning data

Rigo

Pineda

Bech

2010

Nat. Hazards Earth Syst. Sci.

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Abstract.Monitoring thunderstorms activity is an essential part of operational weather surveillance given their potential hazards, including lightning, hail, heavy rainfall, strong winds or even tornadoes. This study has two main objectives: firstly, the description of a methodology, based on radar and total lightning data to characterise thunderstorms in real-time; secondly, the application of this methodology to 66 thunderstorms that affected Catalonia (NE Spain) in the summer of 2006. An object-oriented tracking procedure is employed, where different observation data types generate four different types of objects (radar 1-km CAPPI reflectivity composites, radar reflectivity volumetric data, cloud-toground lightning data and intra-cloud lightning data). In the framework proposed, these objects are the building blocks of a higher level object, the thunderstorm.The methodology is demonstrated with a dataset of thunderstorms whose main characteristics, along the complete life cycle of the convective structures (development, maturity and dissipation), are described statistically. The development and dissipation stages present similar durations in most cases examined. On the contrary, the duration of the maturity phase is much more variable and related to the thunderstorm intensity, defined here in terms of lightning flash rate. Most of the activity of IC and CG flashes is registered in the maturity stage. In the development stage little CG flashes are observed (2% to 5%), while for the dissipation phase is possible to observe a few more CG flashes (10% to 15%). Additionally, a selection of thunderstorms is used to examine general life cycle patterns, obtained from the analysis of normalized (with respect to thunderstorm total duration and maximum value Correspondence to: T. Rigo (tomeur@meteo.cat) of variables considered) thunderstorm parameters. Among other findings, the study indicates that the normalized duration of the three stages of thunderstorm life cycle is similar in most thunderstorms, with the longest duration corresponding to the maturity stage (approximately 80% of the total time).

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Section: Tracking Algorithmsmentioning

confidence: 99%

Analysis of warm season thunderstorms using an object-oriented tracking method based on radar and total lightning data

Rigo

Pineda

Bech

2010

Nat. Hazards Earth Syst. Sci.

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Section: To Explore the Benefits Of An Object-oriented Conceptual Modmentioning

confidence: 99%

“…Office-Environment Agency R&D programme, known as the Thunderstorm Warning Project, was established to explore this approach. The primary aim of the programme was the evaluation of the predictive capabilities of an objectoriented conceptual model of convection, developed by Hand & Conway (1995) offers a number of advantages over extrapolation and NWP-based approaches to the prediction of convective precipitation. Most important of these is the capability to simulate the life cycles of individual showers independently.…”

Section: Introductionmentioning

confidence: 99%

GANDOLF: a system for generating automated nowcasts of convective precipitation

Pierce

Hardaker

Collier

et al. 2000

Meteorological Applications

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During the past decade hydrologists have become increasingly aware of the problems of fluvial flood prediction during periods of intense convection, particularly in urbanised catchments whose rainfall‐runoff responses tend to be rapid. Existing approaches to deterministic, short‐range rainfall prediction are often deficient in their treatment of convective precipitation because they cannot resolve individual convective clouds or effectively model their evolution. In 1994 the UK Met. Office established a joint R&D programme with the Environment Agency (responsible for flood prediction in England and Wales) to explore the benefits of an Object‐Oriented conceptual Model (OOM) of convection in the nowcasting of fluvial floods. This involved the development of an automated nowcasting system (GANDOLF) designed to run the OOM during episodes of air mass convection. This paper describes the structure and function of the GANDOLF system and compares the performance of the OOM with that of two other precipitation models routinely used by Thames Region of the Agency. Copyright © 2000 Royal Meteorological Society

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“…Fewer studies have focused on storm properties indicating the convective stage or intensity which can provide real‐time warning information. Hand and Conway (1995) used a simple conceptual model to depict and forecast the life cycle of a convective storm as a sequence of six stages. However, the initial stage is only determined by the corresponding reflectivities whose values were suggested by experience and by the beam height which varies with the distance from the radar.…”

Section: Introductionmentioning

confidence: 99%

A new radar‐based storm identification and warning technique

Wei

Niu³

et al. 2011

Meteorological Applications

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ABSTRACT:A new storm identification and warning technique is proposed which exclusively uses radar data as input. The new identification method assembles contiguous storm points to constitute 2D storm components and improve the vertical association of storm components to construct 3D storms, which can overcome the deficiencies existing in traditional identification methods. Based on the evolution properties and characteristic distributions, strong storms and general storms are specified to train support vector machines (SVMs) which then can be used to discriminate storms. The performance of the SVM shows that it can indicate the intensity and development of a storm, providing an important aid in severe weather warning.

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An Object-Oriented Approach to Nowcasting Showers

Cited by 23 publications

References 0 publications

Analysis of warm season thunderstorms using an object-oriented tracking method based on radar and total lightning data

Analysis of warm season thunderstorms using an object-oriented tracking method based on radar and total lightning data

GANDOLF: a system for generating automated nowcasts of convective precipitation

A new radar‐based storm identification and warning technique

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