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Dive into the research topics where Andrew R. Dean is active.

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Featured researches published by Andrew R. Dean.


Bulletin of the American Meteorological Society | 2012

An Overview of the 2010 Hazardous Weather Testbed Experimental Forecast Program Spring Experiment

Adam J. Clark; Steven J. Weiss; John S. Kain; Israel L. Jirak; Michael C. Coniglio; Christopher J. Melick; Christopher Siewert; Ryan A. Sobash; Patrick T. Marsh; Andrew R. Dean; Ming Xue; Fanyou Kong; Kevin W. Thomas; Yunheng Wang; Keith Brewster; Jidong Gao; Xuguang Wang; Jun Du; David R. Novak; Faye E. Barthold; Michael J. Bodner; Jason J. Levit; C. Bruce Entwistle; Tara Jensen; James Correia

The NOAA Hazardous Weather Testbed (HWT) conducts annual spring forecasting experiments organized by the Storm Prediction Center and National Severe Storms Laboratory to test and evaluate emerging scientific concepts and technologies for improved analysis and prediction of hazardous mesoscale weather. A primary goal is to accelerate the transfer of promising new scientific concepts and tools from research to operations through the use of intensive real-time experimental forecasting and evaluation activities conducted during the spring and early summer convective storm period. The 2010 NOAA/HWT Spring Forecasting Experiment (SE2010), conducted 17 May through 18 June, had a broad focus, with emphases on heavy rainfall and aviation weather, through collaboration with the Hydrometeorological Prediction Center (HPC) and the Aviation Weather Center (AWC), respectively. In addition, using the computing resources of the National Institute for Computational Sciences at the University of Tennessee, the Center for A...


Weather and Forecasting | 2012

Convective Modes for Significant Severe Thunderstorms in the Contiguous United States. Part II: Supercell and QLCS Tornado Environments

Richard L. Thompson; Bryan T. Smith; Jeremy S. Grams; Andrew R. Dean; Chris Broyles

AbstractA sample of 22 901 tornado and significant severe thunderstorm events, filtered on an hourly 40-km grid, was collected for the period 2003–11 across the contiguous United States (CONUS). Convective mode was assigned to each case via manual examination of full volumetric radar data (Part I of this study), and environmental information accompanied each grid-hour event from the hourly objective analyses calculated and archived at the Storm Prediction Center (SPC). Sounding-derived parameters related to supercells and tornadoes formed the basis of this investigation owing to the dominance of right-moving supercells in tornado production and the availability of supercell-related convective parameters in the SPC environmental archive. The tornado and significant severe thunderstorm events were stratified by convective mode and season. Measures of buoyancy discriminated most strongly between supercell and quasi-linear convective system (QLCS) tornado events during the winter, while bulk wind differences ...


Weather and Forecasting | 2011

Probabilistic Forecast Guidance for Severe Thunderstorms Based on the Identification of Extreme Phenomena in Convection-Allowing Model Forecasts

Ryan A. Sobash; John S. Kain; David R. Bright; Andrew R. Dean; Michael C. Coniglio; Steven J. Weiss

AbstractWith the advent of convection-allowing NWP models (CAMs) comes the potential for new forms of forecast guidance. While CAMs lack the required resolution to simulate many severe phenomena associated with convection (e.g., large hail, downburst winds, and tornadoes), they can still provide unique guidance for the occurrence of these phenomena if “extreme” patterns of behavior in simulated storms are strongly correlated with observed severe phenomena. This concept is explored using output from a series of CAM forecasts generated on a daily basis during the spring of 2008. This output is mined for the presence of extreme values of updraft helicity (UH), a diagnostic field used to identify supercellular storms. Extreme values of the UH field are flagged as simulated “surrogate” severe weather reports and the spatial correspondence between these surrogate reports and actual observed severe reports is determined. In addition, probabilistic forecasts [surrogate severe probabilistic forecasts (SSPFs)] are ...


Bulletin of the American Meteorological Society | 2013

A Feasibility Study for Probabilistic Convection Initiation Forecasts Based on Explicit Numerical Guidance

John S. Kain; Michael C. Coniglio; James Correia; Adam J. Clark; Patrick T. Marsh; Conrad L. Ziegler; Valliappa Lakshmanan; Stuart D. Miller; Scott R. Dembek; Steven J. Weiss; Fanyou Kong; Ming Xue; Ryan A. Sobash; Andrew R. Dean; Israel L. Jirak; Christopher J. Melick

Abstract The 2011 Spring Forecasting Experiment in the NOAA Hazardous Weather Testbed (HWT) featured a significant component on convection32 initiation (CI). As in previous HWT experiments, the CI study was a collaborative effort between forecasters and researchers, with 34 equal emphasis on experimental forecasting strategies and evaluation of prototype model guidance products. The overarching goal of the CI effort was to identify the primary challenges 36 of the CI-forecasting problem and establish a framework for additional studies and possible routine forecasting of CI. This study confirms that convection-allowing models with grid spacing ~ 4 km38 represent many aspects of the formation and development of deep convection clouds explicitly and with predictive utility. Further, it shows that automated algorithms can 40 skillfully identify the CI process during model integration. However, it also reveals that automated detection of individual convection cells, by itself, provides inadequate guidance for


Weather and Forecasting | 2013

Measured Severe Convective Wind Climatology and Associated Convective Modes of Thunderstorms in the Contiguous United States, 2003–09

Bryan T. Smith; Tomas E. Castellanos; Andrew C. Winters; Corey M. Mead; Andrew R. Dean; Richard L. Thompson

AbstractA severe thunderstorm wind gust climatology spanning 2003–09 for the contiguous United States is developed using measured Automated Surface Observing System (ASOS) and Automated Weather Observing System (AWOS) wind gusts. Archived severe report information from the National Climatic Data Center publication Storm Data and single-site volumetric radar data are used to identify severe wind gust observations [≥50 kt (25.7 m s−1)] associated with thunderstorms and to classify the convective mode of the storms. The measured severe wind gust distribution, comprising only 2% of all severe gusts, is examined with respect to radar-based convective modes. The convective mode scheme presented herein focuses on three primary radar-based storm categories: supercell, quasi-linear convective systems (QLCSs), and disorganized. Measured severe gust frequency revealed distinct spatial patterns, where the high plains received the greatest number of gusts and occurred most often in the late spring and summer months. S...


Weather and Forecasting | 2011

Conditional Probability Estimation for Significant Tornadoes Based on Rapid Update Cycle (RUC) Profiles

William E. Togstad; Jonathan M. Davies; Sarah J. Corfidi; David R. Bright; Andrew R. Dean

AbstractRecent literature has identified several supercell/tornado forecast parameters in common use that are operationally beneficial in assessing environments supportive of supercell tornadoes. These parameters are utilized in the computation of tornado forecast guidance such as the significant tornado parameter (STP), a dimensionless parameter developed at the Storm Prediction Center (SPC) that applies a subjectively chosen scale. The goal of this research is to determine if useful logistic regression equations can be developed to estimate the conditional probability of supercell tornadoes that are categorized as level 2 or stronger on the enhanced Fujita scale (EF) when a similar set of environmental background parameters is applied as variables. A large database of Rapid Update Cycle (RUC) analysis soundings in proximity to a representative sample of tornadic and nontornadic supercells over the central and eastern United States, a number of which were associated with EF2 or stronger tornadoes, was us...


Weather and Forecasting | 2016

Investigation of Near-Storm Environments for Tornado Events and Warnings

Alexandra Anderson-Frey; Yvette Richardson; Andrew R. Dean; Richard L. Thompson; Bryan T. Smith

AbstractIn this study, a 13-yr climatology of tornado event and warning environments, including metrics of tornado intensity and storm morphology, is investigated with particular focus on the environments of tornadoes associated with quasi-linear convective systems and right-moving supercells. The regions of the environmental parameter space having poor warning performance in various geographical locations, as well as during different times of the day and year, are highlighted. Kernel density estimations of the tornado report and warning environments are produced for two parameter spaces: mixed-layer convective available potential energy (MLCAPE) versus 0–6-km vector shear magnitude (SHR6), and mixed-layer lifting condensation level (MLLCL) versus 0–1-km storm-relative helicity (SRH1). The warning performance is best in environments characteristic of severe convection (i.e., environments featuring large values of MLCAPE and SHR6). For tornadoes occurring during the early evening transition period, MLCAPE ...


Weather and Forecasting | 2017

Structure and Motion of Severe-Wind-Producing Mesoscale Convective Systems and Derechos in Relation to the Mean Wind

Matthew A. Campbell; Ariel E. Cohen; Michael C. Coniglio; Andrew R. Dean; Stephen F. Corfidi; Sarah J. Corfidi; Corey M. Mead

AbstractThe goal of this study is to document differences in the convective structure and motion of long-track, severe-wind-producing MCSs from short-track severe-wind-producing MCSs in relation to the mean wind. An ancillary goal is to determine if these differences are large enough that some criterion for MCS motion relative to the mean wind could be used in future definitions of “derechos.” Results confirm past investigations that well-organized MCSs, including those that produce derechos, tend to move faster than the mean wind, exhibiting a significantly larger degree of propagation (component of MCS motion in addition to the component contributed by the mean flow). Furthermore, well-organized systems that produce shorter-track swaths of damaging winds likewise tend to move faster than the mean wind with a significant propagation component along the mean wind. Therefore, propagation in the direction of the mean wind is not necessarily a characteristic that can be used to distinguish derechos from nond...


Weather and Forecasting | 2017

Breaking New Ground in Severe Weather Prediction: The 2015 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment

Burkely T. Gallo; Adam J. Clark; Israel L. Jirak; John S. Kain; Steven J. Weiss; Michael C. Coniglio; Kent H. Knopfmeier; James Correia; Christopher J. Melick; Christopher D. Karstens; Eswar R. Iyer; Andrew R. Dean; Ming Xue; Fanyou Kong; Youngsun Jung; Feifei Shen; Kevin W. Thomas; Keith Brewster; Derek Stratman; Gregory W. Carbin; William E. Line; Rebecca D. Adams-Selin; Steve Willington

AbstractLed by NOAA’s Storm Prediction Center and National Severe Storms Laboratory, annual spring forecasting experiments (SFEs) in the Hazardous Weather Testbed test and evaluate cutting-edge technologies and concepts for improving severe weather prediction through intensive real-time forecasting and evaluation activities. Experimental forecast guidance is provided through collaborations with several U.S. government and academic institutions, as well as the Met Office. The purpose of this article is to summarize activities, insights, and preliminary findings from recent SFEs, emphasizing SFE 2015. Several innovative aspects of recent experiments are discussed, including the 1) use of convection-allowing model (CAM) ensembles with advanced ensemble data assimilation, 2) generation of severe weather outlooks valid at time periods shorter than those issued operationally (e.g., 1–4 h), 3) use of CAMs to issue outlooks beyond the day 1 period, 4) increased interaction through software allowing participants t...


Weather and Forecasting | 2018

Near-Storm Environments of Outbreak and Isolated Tornadoes

Alexandra Anderson-Frey; Yvette Richardson; Andrew R. Dean; Richard L. Thompson; Bryan T. Smith

AbstractBetween 2003 and 2015, there were 5343 outbreak tornadoes and 9389 isolated tornadoes reported in the continental United States. Here, the near-storm environmental parameter-space distribut...

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Bryan T. Smith

National Oceanic and Atmospheric Administration

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Israel L. Jirak

National Oceanic and Atmospheric Administration

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Steven J. Weiss

National Oceanic and Atmospheric Administration

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Michael C. Coniglio

National Oceanic and Atmospheric Administration

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John S. Kain

National Oceanic and Atmospheric Administration

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Adam J. Clark

National Oceanic and Atmospheric Administration

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Fanyou Kong

University of Oklahoma

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Ming Xue

University of Oklahoma

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