Optimal Planning of a Weather Radar Network

Minciardi, R.; Sacile, Roberto; Siccardi, F.

doi:10.1175/1520-0426(2003)020<1251:opoawr>2.0.co;2

Cited by 28 publications

(16 citation statements)

References 28 publications

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“…Zhang [10] gives a detailed analysis of ADS-B ground-station range calculation and visual field calculation based on Geographical Information System (GIS) data in order to realize seamless coverage of few air routes in western China. Similar research work on radar or sensor networks can also provide useful guidelines for research on this subject, see for instance [7,9].…”

Section: A Previous Related Workmentioning

confidence: 96%

Automatic Dependent Surveillance-Broadcast Ground-Station Optimal Deployment Problem

Wang

Delahaye

Gondran

et al. 2018

Journal of Air Transportation

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ADS-B (Automatic Dependent Surveillance and Broadcast) is a new surveillance technology that allows an aircraft to broadcast its own position periodically to ground stations. It has better precision, higher refresh rate, and lower cost than traditional secondary radar. Therefore, it is envisaged as a potential solution for air traffic surveillance in the context of nowadays growing traffic. In this study, we focus on a location problem that aims to deploy a network of ADS-B ground stations, in order to cover a given traffic space at minimum cost. We propose three mathematical optimization models based on a 2D discretized airspace under the form of discrete-optimization problems. Results obtained with the Mixed-Integer Linear Programming (MILP) solver Gurobi tested on a real-life size problem (8,476 daily flights over France) shows that our approach is viable in an operational context. The performances of the three proposed formulations are analyzed and compared. I. Introduction Automatic dependent surveillance-broadcast (ADS-B) is a new aeronautic surveillance technology that has been applied broadly around the world in recent years. ADS-B system consists of ground infrastructures and on-board transponders. This system provides two different services:

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Section: A Previous Related Workmentioning

confidence: 96%

Automatic Dependent Surveillance-Broadcast Ground-Station Optimal Deployment Problem

Wang

Delahaye

Gondran

et al. 2018

Journal of Air Transportation

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“…however, because of the high cost associated with deploying and operating large antenna, S-band (WSr-88D type) radars, a more cost-effective solution may be to deploy limited numbers of "gap filling" (X or C band) radars to fill in coverage gaps between WSr-88Ds (McLaughlin et al 2009). geometric, statistical, and genetic algorithm techniques have been developed to optimize the low-level coverage and maximize multi-Doppler overlap (ray and Sangren 1983;de Elía and Zawadzki 2001;Minciardi et al 2003;Junyent and Chandrasekar 2009;Kurdzo and Palmer 2012). A third option for improving radar coverage is to sample more frequently.…”

Section: Detection Challengesmentioning

confidence: 99%

The Tornado Warning Process: A Review of Current Research, Challenges, and Opportunities

Brotzge

Donner²

2013

Bulletin of the American Meteorological Society

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With the unusually violent tornado season of 2011, there has been a renewed national interest, through such programs as NOAA's Weather Ready Nation initiative, to reevaluate and improve our tornado warning process. This literature review provides an interdisciplinary, end-to-end examination of the tornado warning process. Following the steps outlined by the Integrated Warning System, current research in tornado prediction and detection, the warning decision process, warning dissemination, and public response are reviewed, and some of the major challenges for improving each stage are highlighted. The progress and challenges in multi-day to short-term tornado prediction are discussed, followed by an examination of tornado detection, focused primarily upon the contributions made by weather radar and storm spotters. Next is a review of the warning decision process and the challenges associated with dissemination of the warning, followed by a discussion of the complexities associated with understanding public response. Finally, several research opportunities are considered, with emphases on understanding acceptable risk, greater community and personal preparation, and personalization of the hazard risk.

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“…NEXRAD radars were originally deployed to operate as single autonomous systems; however, merged, multiradar data have proven more effective for extracting severe weather information (Lakshmanan et al 2006). Geometric, statistical, and genetic algorithm techniques have been developed to optimize the low-level coverage and maximize multi-Doppler overlap (Ray and Sangren 1983;de Elía and Zawadzki 2001;Minciardi et al 2003;Junyent and Chandrasekar 2009;Kurdzo and Palmer 2012). Nevertheless, the addition and/or replacement of radars will require a significant financial public investment.…”

Section: Detection Challengesmentioning

confidence: 99%

Articles

2013

Bulletin of the American Meteorological Society

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Optimal Planning of a Weather Radar Network

Cited by 28 publications

References 28 publications

Automatic Dependent Surveillance-Broadcast Ground-Station Optimal Deployment Problem

Automatic Dependent Surveillance-Broadcast Ground-Station Optimal Deployment Problem

The Tornado Warning Process: A Review of Current Research, Challenges, and Opportunities

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