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Valliappa Lakshmanan, Travis Smith, Gregory Stumpf, and Kurt Hondl

1. Introduction The first version of the Warning Decision Support System (WDSS; Eilts et al. 1996 ) was developed in the early 1990s and was based on data from individual radars. The tornado vortex signature ( Mitchell et al. 1998 ) and mesocyclone detection ( Stumpf et al. 1998 ) algorithms that are currently used in operations by the National Weather Service were first implemented, tested, and validated within the WDSS framework. To support university and other researchers, workstation

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Scott E. Kalafatis, Jasmine Neosh, Julie C. Libarkin, Kyle Powys Whyte, and Chris Caldwell

work more effectively in these efforts. These individuals have participated in collaborations exemplifying the importance and challenge of working across professional, cultural, institutional, and historical boundaries: collaborations between those affiliated with Native American Tribes in the United States (hereinafter “Tribes”) and climate science organizations (CSOs)—governmental and nongovernmental organizations providing decision support. Though the development of supportive collaborative

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A. J. M. Jacobs and N. Maat

. Figure 2 shows the combined effect leads to a significant improvement in forecast skill. 5) Advanced features of the TREND guidance After a first evaluation proved the usefulness of the TAF guidance for decision-making support to the aviation forecaster, it was decided to develop the TREND guidance according to the same principles. Here the key issue was to generate meteorological forecasts of high accuracy for the short term, 0–6 h, on an output time interval of 30 min and issued every 30 min

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Steven M. Quiring, Andrea B. Schumacher, and Seth D. Guikema

Uncertainty in power outage prediction models and other decision-support systems that are run prior to hurricane landfall can be improved using ensembles from the Monte Carlo wind speed probability model. Effects of Hurricane Ike on the Bolivar Peninsula, Texas. (Photo credit: Michael Potts.) The National Hurricane Center (NHC) is responsible for issuing official track and intensity forecasts for all tropical cyclones 1 (TC) in the Atlantic and northeast Pacific basins. Official tropical

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Jeffrey K. Lazo, Heather R. Hosterman, Jennifer M. Sprague-Hilderbrand, and Jeffery E. Adkins

Weather Service (NWS) efforts to provide consistent messaging to the meteorological community and as part of the NWS Roadmap’s focus on Building a Weather-Ready Nation (WRN), the NWS has increased their efforts to provide decision support services to core partners. Two recent National Academy of Sciences, Engineering, and Medicine (NAS) reports noted the importance of a more integrated warning system that is built on social science research and ensures full communication between all actors throughout

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Elizabeth M. Argyle, Jonathan J. Gourley, Zachary L. Flamig, Tracy Hansen, and Kevin Manross

Incorporating usability evaluation into the iterative design of decision-support tools, such as Hazard Services, can improve system efficiency, effectiveness, and user experience. In the weather enterprise, the forecaster’s role is one that often requires managing large amounts of information under significant time pressures ( Daipha 2015 ). Hazard Services is a software toolkit currently under development that is intended to streamline the forecasting process and assist forecasters in

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Rachel E. Riley

Arkansas climate hazards, a climate decision support tool (DST), because of needs expressed at a workshop with planners and emergency managers (herein referred to as the “decision-makers”). SCIPP is a climate boundary organization, an organization whose goal is to support the production of actionable knowledge for various decision contexts ( Goodrich et al. 2020 ). An evaluation was conducted to understand the SPT’s utility, or usefulness, to decision-making. Before explaining how and why the SPT was

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Evan Ruzanski and V. Chandrasekar

–based nowcasting method with DARTS in the WSDDM system to nowcast LWE rates for aviation deicing decision support. Both TREC and DARTS estimate the motion of precipitation patterns represented by a sequence of radar reflectivity observations. While TREC produces these estimates using an iterative search method, DARTS is formulated in a Fourier domain–based linear model framework amenable to computationally efficient algorithms. Additionally, the structure of DARTS imposes the continuity of motion vectors over

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Brooke Fisher Liu and Anita Atwell Seate

–22 strategic plan calls for the agency to “evolve” toward “a partner and customer-centric service delivery model,” including greater emphasis on decision support ( National Weather Service 2019 , p. 16). This call reflects the 2017 Weather Research and Forecasting Innovation Act that expanded the provision of consistent, high quality impact-based decision support services (IDSS) for NWS forecasters across the United States ( National Weather Service 2019 ). According to the NWS director, IDSS “develops

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Justin G. McLay

weather forecasts and take action in support of an operation at an upcoming date. A second toolset is composed of medium-range NWP forecast ensembles. These ensembles allow one to compute weather event probabilities, and thereby to exploit the fact that the dynamic decision models tend to afford the greatest benefit when the weather forecasts in question are probabilistic ( Epstein and Murphy 1988 ; Wilks 1991 ). The ensemble-derived event probabilities are particularly attractive for decision

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