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Featured researches published by Daphne LaDue.


Weather and Forecasting | 2012

Exploring Impacts of Rapid-Scan Radar Data on NWS Warning Decisions

Pamela L. Heinselman; Daphne LaDue; Heather Lazrus

AbstractRapid-scan weather radars, such as the S-band phased array radar at the National Weather Radar Testbed in Norman, Oklahoma, improve precision in the depiction of severe storm processes. To explore potential impacts of such data on forecaster warning decision making, 12 National Weather Service forecasters participated in a preliminary study with two control conditions: 1) when radar scan time was similar to volume coverage pattern 12 (4.5 min) and 2) when radar scan time was faster (43 s). Under these control conditions, forecasters were paired and worked a tropical tornadic supercell case. Their decision processes were observed and audio was recorded, interactions with data displays were video recorded, and the products were archived. A debriefing was conducted with each of the six teams independently and jointly, to ascertain the forecaster decision-making process. Analysis of these data revealed that teams examining the same data sometimes came to different conclusions about whether and when to...


Weather and Forecasting | 2015

Tornado Warning Decisions Using Phased-Array Radar Data

Pamela L. Heinselman; Daphne LaDue; Darrel M. Kingfield; Robert R. Hoffman

AbstractThe 2012 Phased Array Radar Innovative Sensing Experiment identified how rapidly scanned full-volumetric data captured known mesoscale processes and impacted tornado-warning lead time. Twelve forecasters from nine National Weather Service forecast offices used this rapid-scan phased-array radar (PAR) data to issue tornado warnings on two low-end tornadic and two nontornadic supercell cases. Verification of the tornadic cases revealed that forecasters’ use of PAR data provided a median tornado-warning lead time (TLT) of 20 min. This 20-min TLT exceeded by 6.5 and 9 min, respectively, participants’ forecast office and regions’ median spring season, low-end TLTs (2008–13). Furthermore, polygon-based probability of detection ranged from 0.75 to 1.0 and probability of false alarm for all four cases ranged from 0.0 to 0.5. Similar performance was observed regardless of prior warning experience. Use of a cognitive task analysis method called the recent case walk-through showed that this performance was d...


Bulletin of the American Meteorological Society | 2010

Strengths and Limitations of Current Radar Systems for Two Stakeholder Groups in the Southern Plains

Daphne LaDue; Pamela L. Heinselman; Jennifer F. Newman

Advancements in radar technology since the deployment of the Weather Surveillance Radar-1988 Doppler (WSR-88D) network have prompted consideration of radar replacement technologies. In order for the outcomes of advanced radar research and development to be the most beneficial to users, an understanding of user needs must be established early in the process and considered throughout. As an important early step in addressing this need, this study explored the strengths and limitations of current radar systems for nine participants from two key stakeholder groups: NOAAs NWS and broadcast meteorologists. Critical incident interviews revealed the role of each stakeholder group and attained stories that exemplified radar strengths and limitations in their respective roles. NWS forecasters emphasized using radar as an essential tool to assess the current weather situation and communicate hazards to key stakeholder groups. TV broadcasters emphasized adding meaning and value to NWS information and using radar to ...


Weather and Forecasting | 2018

Development of a Human–Machine Mix for Forecasting Severe Convective Events

Christopher D. Karstens; James Correia; Daphne LaDue; Jonathan Wolfe; Tiffany Meyer; David Harrison; John L. Cintineo; Kristin M. Calhoun; Travis M. Smith; Alan Gerard; Lans P. Rothfusz

AbstractProviding advance warning for impending severe convective weather events (i.e., tornadoes, hail, wind) fundamentally requires an ability to predict and/or detect these hazards and subsequently communicate their potential threat in real time. The National Weather Service (NWS) provides advance warning for severe convective weather through the issuance of tornado and severe thunderstorm warnings, a system that has remained relatively unchanged for approximately the past 65 years. Forecasting a Continuum of Environmental Threats (FACETs) proposes a reinvention of this system, transitioning from a deterministic product-centric paradigm to one based on probabilistic hazard information (PHI) for hazardous weather events. Four years of iterative development and rapid prototyping in the National Oceanic and Atmospheric Administration (NOAA) Hazardous Weather Testbed (HWT) with NWS forecasters and partners has yielded insights into this new paradigm by discovering efficient ways to generate, inform, and ut...


Archive | 2017

Minding the Weather: How Expert Forecasters Think

Robert R. Hoffman; Daphne LaDue; H. Michael Mogil; Paul J. Roebber; J. Gregory Trafton


Bulletin of the American Meteorological Society | 2018

Facilitating the Self-Directed Learning Efforts of Professional Meteorologists

Daphne LaDue; Ariel E. Cohen


98th American Meteorological Society Annual Meeting | 2018

Using the Case Walk Through Method to Elucidate the Interplay of Forecaster and Emergency Manager Decision-Making under an Experimental Warning Paradigm

Daphne LaDue


Archive | 2017

Minding the Weather

Robert R. Hoffman; Daphne LaDue; H. Michael Mogil; Paul J. Roebber; J. Gregory Trafton


97th American Meteorological Society Annual Meeting | 2017

Impacts of the National Weather Center Research Experiences for Undergraduates Program

Daphne LaDue


97th American Meteorological Society Annual Meeting | 2017

Temporal and Spatial Aspects of Emergency Manager Use of Prototype Probabilistic Hazard Information

Daphne LaDue

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Pamela L. Heinselman

National Oceanic and Atmospheric Administration

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Robert R. Hoffman

Florida Institute for Human and Machine Cognition

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Paul J. Roebber

University of Wisconsin–Milwaukee

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Alan Gerard

National Oceanic and Atmospheric Administration

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Ariel E. Cohen

National Oceanic and Atmospheric Administration

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Christopher D. Karstens

National Oceanic and Atmospheric Administration

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Heather Lazrus

National Center for Atmospheric Research

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