Search Results
managers and policy makers, as they must make decisions about the impacts of climate change on the systems they manage. Decision support systems (DSSs) are tools that can be used to bridge the information gap for managers and policy makers and can specifically aid with communication about climate change. “Decision support provides a link between decision making, scientific information, and analytical tools” and can take many forms, such as documents or software tools ( Pyke et al. 2007 ). DSSs have
managers and policy makers, as they must make decisions about the impacts of climate change on the systems they manage. Decision support systems (DSSs) are tools that can be used to bridge the information gap for managers and policy makers and can specifically aid with communication about climate change. “Decision support provides a link between decision making, scientific information, and analytical tools” and can take many forms, such as documents or software tools ( Pyke et al. 2007 ). DSSs have
preparedness and responsiveness to extreme weather events when the forecasts are understood and acted upon by public safety decision-makers. This connection between forecasts and key decision points in the emergency management, water resource management, and public safety communities has been termed impact-based decision support services (IDSS) and is the lynchpin that connects science, technology, forecasts, and warnings to societal outcomes ( Uccellini and Ten Hoeve 2019 ). Specifically, IDSS is defined
preparedness and responsiveness to extreme weather events when the forecasts are understood and acted upon by public safety decision-makers. This connection between forecasts and key decision points in the emergency management, water resource management, and public safety communities has been termed impact-based decision support services (IDSS) and is the lynchpin that connects science, technology, forecasts, and warnings to societal outcomes ( Uccellini and Ten Hoeve 2019 ). Specifically, IDSS is defined
. There has always been a myriad of resources for EMs to use ( Morss and Ralph 2007 ; Morris et al. 2002 ), although there is often a disconnect with dissemination, response, and planning ( Hoss and Fischbeck 2016 ; Weaver et al. 2014 ; Morris et al. 2002 , 2001 ). In effect, not only is there a need to improve EMs’ training and decision support tools, but an in-depth investigation is necessary to understand the needs and cues EMs require to make assessments and decisions during severe events
. There has always been a myriad of resources for EMs to use ( Morss and Ralph 2007 ; Morris et al. 2002 ), although there is often a disconnect with dissemination, response, and planning ( Hoss and Fischbeck 2016 ; Weaver et al. 2014 ; Morris et al. 2002 , 2001 ). In effect, not only is there a need to improve EMs’ training and decision support tools, but an in-depth investigation is necessary to understand the needs and cues EMs require to make assessments and decisions during severe events
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
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
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
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
. 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
. 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
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
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
. Similarly, both the engineer and planner of the same municipality stated that the report had allowed them to begin to discuss the possibility of pursuing managed retreat from some vulnerable areas. Although this conversation remains extremely preliminary and little to no support from key decision-makers exists for retreat, the report has at least allowed the issue to be raised, whereas in the past it was off limits. Staff members also found that the report acted as a valuable repository of institutional
. Similarly, both the engineer and planner of the same municipality stated that the report had allowed them to begin to discuss the possibility of pursuing managed retreat from some vulnerable areas. Although this conversation remains extremely preliminary and little to no support from key decision-makers exists for retreat, the report has at least allowed the issue to be raised, whereas in the past it was off limits. Staff members also found that the report acted as a valuable repository of institutional
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
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
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
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
