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Dive into the research topics where Neil I. Fox is active.

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Featured researches published by Neil I. Fox.


Meteorological Applications | 2004

A study of twentieth‐century extreme rainfall events in the United Kingdom with implications for forecasting

William H. Hand; Neil I. Fox; C. G. Collier

Rainfall events in the United Kingdom during the twentieth century have been surveyed and those identified as extreme by the Flood Studies Report (1975) standards have been examined for common features. Events of duration up to 60 hours were considered in order to investigate those that could cause flash floods. More than half of the 50 events identified were short-period convective storms. The rainfall events were classified by meteorological situation, location and season, allowing the identification of conditions under which extreme rainfall occurred. Suitable conditions for extreme rainfall were split into three categories: orographic, frontal and convective. The frontal and convective classes were then divided into two sub-classes according to whether significant embedded instability was present in the frontal cases and the nature of the convection in the convective cases. The study revealed a lot of commonality between the cases. For example, all of the orographic events occurred in winter in moist west to southwest airflows, and 80% of the frontal cases involved a slow-moving depression to the south or east and also a slow moving frontal system. A conceptual airflow diagram has been developed for some of the frontal cases. The key result, however, was the discovery that each category of meteorological situation occupied a unique space in a rainfall amount versus duration diagram for each extreme event. This offers exciting opportunities for applying the results of this study and a framework for studying future events. Copyright


Journal of the American Statistical Association | 2005

A Kernel-Based Spatio-Temporal Dynamical Model for Nowcasting Weather Radar Reflectivities

Ke Xu; Christopher K. Wikle; Neil I. Fox

A good short-period forecast of heavy rainfall is essential for many meteorological and hydrological applications. Traditional deterministic and stochastic nowcasting methodologies have been inadequate in their characterization of pixelwise rainfall reflectivity propagation, intensity, and uncertainty. The methodology presented herein uses an approach that efficiently parameterizes spatio-temporal dynamic models in terms of integro-difference equations within a hierarchical framework. The approach accounts for the uncertainty in the prediction and provides relevant distributional information concerning the nowcast. An application is presented that shows the effectiveness of the technique and its potential for nowcasting weather radar reflectivities.


Weather and Forecasting | 2004

The Nowcasting of Precipitation during Sydney 2000: An Appraisal of the QPF Algorithms

Clive Pierce; Elizabeth E. Ebert; Alan Seed; Michael Sleigh; C. G. Collier; Neil I. Fox; N. Donaldson; James W. Wilson; Rita D. Roberts; Cynthia K. Mueller

Abstract Statistical and case study–oriented comparisons of the quantitative precipitation nowcasting (QPN) schemes demonstrated during the first World Weather Research Programme (WWRP) Forecast Demonstration Project (FDP), held in Sydney, Australia, during 2000, served to confirm many of the earlier reported findings regarding QPN algorithm design and performance. With a few notable exceptions, nowcasting algorithms based upon the linear extrapolation of observed precipitation motion (Lagrangian persistence) were generally superior to more sophisticated, nonlinear nowcasting methods. Centroid trackers [Thunderstorm Identification, Tracking, Analysis and Nowcasting System (TITAN)] and pattern matching extrapolators using multiple vectors (Auto-nowcaster and Nimrod) were most reliable in convective scenarios. During widespread, stratiform rain events, the pattern matching extrapolators were superior to centroid trackers and wind advection techniques (Gandolf, Nimrod). There is some limited case study and s...


Bulletin of the American Meteorological Society | 2003

The Sydney 2000 World Weather Research Programme Forecast Demonstration Project: Overview and Current Status

T. D. Keenan; Paul Joe; James W. Wilson; C. G. Collier; Brian Golding; Donald W. Burgess; Peter T. May; Clive Pierce; J. Bally; A. Crook; Alan Seed; D. Sills; L. Berry; R. Potts; I. Bell; Neil I. Fox; Elizabeth E. Ebert; M. Eilts; K. O'Loughlin; R. Webb; Richard E. Carbone; K.A. Browning; Rita D. Roberts; Cynthia K. Mueller

The first World Weather Research Programme (WWRP) Forecast Demonstration Project (FDP), with a focus on nowcasting, was conducted in Sydney, Australia, from 4 September to 21 November 2000 during a period associated with the Sydney 2000 Olympic Games. Through international collaboration, nine nowcasting systems from the United States, United Kingdom, Canada, and Australia were deployed at the Sydney Office of the Bureau of Meteorology (BOM) to demonstrate the capability of modern forecast systems and to quantify the associated benefits in the delivery of a real-time nowcast service. On-going verification and impact studies supported by international committees assisted by the WWRP formed an integral part of this project. A description is given of the project, including component systems, the weather, and initial outcomes. Initial results show that the nowcasting systems tested were transferable and able to provide valuable information enhancing BOM nowcasts. The project provided for unprecedented intercha...


Weather and Forecasting | 2010

An Object-Oriented Multiscale Verification Scheme

Steven A. Lack; George L. Limpert; Neil I. Fox

Abstract Object-oriented verification methodology is becoming more and more common in the evaluation of model performance on high-resolution grids. The research herein describes an advanced version of an object-oriented approach that involves a combination of object identification on multiple scales with Procrustes shape analysis techniques. The multiscale object identification technique relies heavily on a novel Fourier transform approach to associate the signals within convection to different spatial scales. Other features of this new verification scheme include using a weighted cost function that can be user defined for object matching using different criteria, delineating objects that are more linear in character from those that are more cellular, and tagging object matches as hits, misses, or false alarms. Although the scheme contains a multiscale approach for identifying convective objects, standard minimum intensity and minimum size thresholds can be set when desirable. The method was tested as par...


Weather and Forecasting | 2005

A Bayesian Quantitative Precipitation Nowcast Scheme

Neil I. Fox; Christopher K. Wikle

Abstract Very short-period quantitative precipitation forecast (QPF) or nowcast schemes provide deterministic output that fails to convey explicit measures of the uncertainty in the forecast. Presented here is a forecast methodology based upon a Bayesian hierarchical model that produces a QPF product for a 1-h period along with an associated estimated forecast error field. The precipitation forecast quality is comparable to other nowcast schemes and the uncertainty measures increase the utility of the methodology by allowing forecasters to judge the trustworthiness of the products.


Weather and Forecasting | 2004

The 3 November tornadic event during Sydney 2000: Storm evolution and the role of low-level boundaries

David M. L. Sills; James W. Wilson; Paul Joe; Donald W. Burgess; Rob Webb; Neil I. Fox

Abstract Several severe thunderstorms, including a tornadic supercell, developed on the afternoon of 3 November 2000, during the Sydney 2000 Forecast Demonstration Project. Severe weather included three tornadoes, damaging wind gusts, hail to 7-cm diameter, and heavy rain causing flash flooding. A unique dataset was collected including data from two Doppler radars, a surface mesonet, enhanced upper-air profiling, storm photography, and a storm damage survey. Synoptic-scale forcing was weak and mesoscale factors were central to the development of severe weather. In particular, low-level boundaries such as gust fronts and the sea-breeze front played critical roles in the initiation and enhancement of storms, the motion of storms, and the generation of rotation at low levels. The complex and often subtle boundary interactions that led to the development of the tornadic supercell in this case highlight the need for advanced detection and prediction tools to improve the warning capacity for such events.


Weather and Forecasting | 2004

The Impact of Advanced Nowcasting Systems on Severe Weather Warning during the Sydney 2000 Forecast Demonstration Project: 3 November 2000

Neil I. Fox; Rob Webb; John Bally; Michael Sleigh; Clive Pierce; David M. L. Sills; Paul Joe; James W. Wilson; C. G. Collier

Abstract One of the principal aims of the Sydney 2000 Forecast Demonstration Project was to assess the utility of advanced nowcasting systems to operational severe weather forecasters. This paper describes the application of the products of a variety of systems by forecasters during a severe weather event in Sydney, Australia, on 3 November 2000. During this day a severe storm developed to the south of the metropolitan area and tracked north producing large, damaging hail, heavy rainfall, and at least three tornadoes. A number of severe weather warnings were issued by the Australian Bureau of Meteorology to a variety of customers throughout the day. This paper investigates how the novel nowcast products were used by the forecasters and the impact they had on the forecast and warning dissemination procedure. The products used are contrasted with those that were available or could have been made available at various stages of the storm development and the efficiency of use of these products is discussed. Th...


Advances in Meteorology | 2017

Composites of Heavy Rain Producing Elevated Thunderstorms in the Central United States

Laurel P. McCoy; Patrick S. Market; Chad M. Gravelle; Charles E. Graves; Neil I. Fox; Scott M. Rochette; Joshua S. Kastman; Bohumil M. Svoma

Composite analyses of the atmosphere over the central United States during elevated thunderstorms producing heavy rainfall are presented. Composites were created for five National Weather Service County Warning Areas (CWAs) in the region. Events studied occurred during the warm season (April–September) during 1979–2012. These CWAs encompass the region determined previously to experience the greatest frequency of elevated thunderstorms in the United States. Composited events produced rainfall of >50 mm 24 hr−1 within the selected CWA. Composites were generated for the 0–3 hr period prior to the heaviest rainfall, 6–9 hours prior to it, and 12–15 hours prior to it. This paper focuses on the Pleasant Hill, Missouri (EAX) composites, as all CWA results were similar; also these analyses focus on the period 0–3 hours prior to event occurrence. These findings corroborate the findings of previous authors. What is offered here that is unique is (1) a measure of the interquartile range within the composite mean fields, allowing for discrimination between variable fields that provided a strong reliable signal, from those that may appear strong but possess large variability, and (2) composite soundings of two subclasses of elevated thunderstorms. Also, a null case (one that fits the composite but failed to produce significant rainfall) is also examined for comparison.


Bulletin of the American Meteorological Society | 2007

Advancing Renewables in the Midwest

Christopher S. Foltz; Steven A. Lack; Neil I. Fox; Anthony R. Lupo; Jay R. Hasheider

In final form 20 March 2007 ©2007 American Meteorological Society iven the rising costs of fossil fuels, and their role in polluting the environment, including the atmosphere, there is an increasing body of interdisciplinary research devoted to examining the resources of the midwestern United States to determine whether energy alternatives, such as wind or solar energy, are economically and naturally feasible for use in this region (information available online at www.dnr.mo.gov/energy/renewables/wind-energy. htm). This necessarily must include the study of longterm trends in climate as well as the intraseasonal and interannual variability of relevant atmospheric quantities. Also, a better understanding of the climatological frequency and structure of the low-level jet (from about 950 to 850 hPa) is crucial to any discussion of the future of wind energy in this part of the country. Such research is currently underway at the University of Missouri. The University of Missouri, Columbia, was the host of the First Conference on Advancing Renewables in the Midwest. Regional meetings such as this one, which bring together operational, private, and research sectors to discuss technological and environmental issues in order to find common interests, have been occurring more frequently during the past few years [e.g., the conference on Weather Analysis and Forecasting Issues in the Central United States (Lupo and Market 2003), and the Northeast Regional Workshop (Auciello 2002)]. Those in attendance and speakers at this meeting were from all interested sectors, which included government agencies (e.g., the Missouri Department of Natural Resources and the Missouri Department of Conservation), the private sector, and the academic community. The Joint Chapter of the University of Missouri, Columbia American Meteorological Society (AMS) and National Weather Association (NWA) cosponsored the meeting. More than 210 people attended.

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James W. Wilson

National Center for Atmospheric Research

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