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Journal articles on the topic 'Weather warning information'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Drost, Robert, Mark Casteel, Julie Libarkin, Stephen Thomas, and Matt Meister. "Severe Weather Warning Communication: Factors Impacting Audience Attention and Retention of Information during Tornado Warnings." Weather, Climate, and Society 8, no. 4 (2016): 361–72. http://dx.doi.org/10.1175/wcas-d-15-0035.1.

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Abstract Weather hazards in the United States inflict both personal and economic tolls on the public. Communicating warnings about weather hazards is an important duty of TV weathercasters. Televised weather warnings are typically conveyed through live radar, live coverage, and warning scrolls. However, these traditional approaches may not be entirely effective given the limited attention some members of the public pay to these warnings. A study comparing individual responses to a traditional warning, an animated warning, and an audio warning was undertaken to evaluate the impact of delivery m

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Schroeter, Serena, Harald Richter, Craig Arthur, et al. "Forecasting the impacts of severe weather." January 2021 10.47389/36, No 1 (2021): 76–83. http://dx.doi.org/10.47389/36.1.76.

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National meteorological and hydrological services provide severe weather warning information to inform decision-making by emergency management organisations. Such information also helps communities to take defensive and mitigating actions prior to and during severe weather events. Globally, warning information issued by meteorological and hydrological services varies widely. This can range from solely hazard-based to impact-based forecasting encompassing the exposure and vulnerability of communities to severe weather. The most advanced of these systems explicitly and quantitatively model the i

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Stumpf, Gregory J., and Alan E. Gerard. "National Weather Service Severe Weather Warnings as Threats-in-Motion." Weather and Forecasting 36, no. 2 (2021): 627–43. http://dx.doi.org/10.1175/waf-d-20-0159.1.

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AbstractThreats-in-Motion (TIM) is a warning generation approach that would enable the NWS to advance severe thunderstorm and tornado warnings from the current static polygon system to continuously updating polygons that move forward with a storm. This concept is proposed as a first stage for implementation of the Forecasting a Continuum of Environmental Threats (FACETs) paradigm, which eventually aims to deliver rapidly updating probabilistic hazard information alongside NWS warnings, watches, and other products. With TIM, a warning polygon is attached to the threat and moves forward along wi

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Ash, Kevin D., Ronald L. Schumann, and Gregg C. Bowser. "Tornado Warning Trade-Offs: Evaluating Choices for Visually Communicating Risk." Weather, Climate, and Society 6, no. 1 (2014): 104–18. http://dx.doi.org/10.1175/wcas-d-13-00021.1.

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Abstract Recent improvements in weather observation and monitoring have increased the precision of tornado warnings. The National Weather Service currently issues storm-based tornado warnings, and even more geographically specific warnings that include probability information are under development. At the same time, the widespread proliferation of smartphone and mobile computing technology supports the rapid dissemination of graphical weather warning information. Some broadcasters and private companies have already begun using probabilistic-style tornado warning graphics. However, the developm

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Zhang, Fang, Jin Ding, Yu Chen, et al. "Analysis of the Multi-Dimensional Characteristics of City Weather Forecast Page Views and the Spatiotemporal Characteristics of Meteorological Disaster Warnings in China." Atmosphere 15, no. 5 (2024): 615. http://dx.doi.org/10.3390/atmos15050615.

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In order to provide insights into how various page views are influenced by public engagement with weather information and to shed light on the patterns of warning issuance across different seasons and regions, this study analyzes the multi-dimensional characteristics of city weather forecast page views and the spatiotemporal characteristics of early warning information in China, from 1 March 2020 to 31 August 2023. This is achieved by utilizing the daily page views of city weather forecasts and meteorological warning data, comparing the public’s attention to weather during holidays versus regu

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Weyrich, Philippe, Anna Scolobig, David N. Bresch, and Anthony Patt. "Effects of Impact-Based Warnings and Behavioral Recommendations for Extreme Weather Events." Weather, Climate, and Society 10, no. 4 (2018): 781–96. http://dx.doi.org/10.1175/wcas-d-18-0038.1.

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Abstract Bad weather continues not only to inflict damage on property but also to kill and injure people, despite significant advances in the predictive power of meteorological warnings. There is evidence that people tend to underreact to weather warning information, to a large extent because of insufficient understanding of the impacts that severe weather events can have, as well as to demonstrate the appropriate response behavior. A growing number of experts are suggesting that standard warning information should be augmented with additional information about these factors, but this has so f

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Vrotsou, Katerina, Carlo Navarra, Kostiantyn Kucher, et al. "Towards a Volunteered Geographic Information-Facilitated Visual Analytics Pipeline to Improve Impact-Based Weather Warning Systems." Atmosphere 14, no. 7 (2023): 1141. http://dx.doi.org/10.3390/atmos14071141.

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Extreme weather events, such as flooding, are expected to increase in frequency and intensity. Therefore, the prediction of extreme weather events, assessment of their local impacts in urban environments, and implementation of adaptation measures are becoming high-priority challenges for local, regional, and national agencies and authorities. To manage these challenges, access to accurate weather warnings and information about the occurrence, extent, and impacts of extreme weather events are crucial. As a result, in addition to official sources of information for prediction and monitoring, cit

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Bostrom, Ann, Rebecca E. Morss, Jeffrey K. Lazo, Julie L. Demuth, Heather Lazrus, and Rebecca Hudson. "A Mental Models Study of Hurricane Forecast and Warning Production, Communication, and Decision-Making*." Weather, Climate, and Society 8, no. 2 (2016): 111–29. http://dx.doi.org/10.1175/wcas-d-15-0033.1.

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Abstract The study reported here explores how to enhance the public value of hurricane forecast and warning information by examining the entire warning process. A mental models research approach is applied to address three risk management tasks critical to warnings for extreme weather events: 1) understanding the risk decision and action context for hurricane warnings, 2) understanding the commonalities and conflicts in interpretations of that context and associated risks, and 3) exploring the practical implications of these insights for hurricane risk communication and management. To understa

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Sanders, Shadya, Terri Adams, and Everette Joseph. "Severe Weather Forecasts and Public Perceptions: An Analysis of the 2011 Super Outbreak in Tuscaloosa, Alabama." Weather, Climate, and Society 12, no. 3 (2020): 473–85. http://dx.doi.org/10.1175/wcas-d-18-0090.1.

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AbstractThis paper uses the “Super Outbreak” of 2011 as a case study to examine the potential gaps between the dissemination of severe weather warnings and the public’s behavioral response to this information. This study focuses on a single tornado track that passed through Tuscaloosa, Alabama. The tornado caused massive damage and destruction and led to a total of 62 fatalities. The threat of severe storms was known days in advance, and forecasts were disseminated to the public. Questions were raised about the forecasts, warning lead times, and the perception of the warnings among residents.

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Golding, Brian, Elizabeth Ebert, David Hoffmann, and Sally Potter. "Preparing for the unprecedented." Advances in Science and Research 20 (July 31, 2023): 85–90. http://dx.doi.org/10.5194/asr-20-85-2023.

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Abstract. In 2021, several weather disasters occurred in which conditions surpassed recorded extremes. Analysis of the performance of warning systems in these disasters by the WWRP HIWeather project shows that in most, but not all cases, there was adequate forewarning of the magnitude of the event, but that lack of preparedness and/or communication failures led to loss of life in particularly vulnerable groups. Using information from the HIWeather value chain database, we present an overview of key aspects of each event – the weather and its impact, the forecasts, the warnings, and the respons

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Schumacher, Russ S., Daniel T. Lindsey, Andrea B. Schumacher, Jeff Braun, Steven D. Miller, and Julie L. Demuth. "Multidisciplinary Analysis of an Unusual Tornado: Meteorology, Climatology, and the Communication and Interpretation of Warnings*." Weather and Forecasting 25, no. 5 (2010): 1412–29. http://dx.doi.org/10.1175/2010waf2222396.1.

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Abstract On 22 May 2008, a strong tornado—rated EF3 on the enhanced Fujita scale, with winds estimated between 136 and 165 mi h−1 (61 and 74 m s−1)—caused extensive damage along a 55-km track through northern Colorado. The worst devastation occurred in and around the town of Windsor, and in total there was one fatality, numerous injuries, and hundreds of homes significantly damaged or destroyed. Several characteristics of this tornado were unusual for the region from a climatological perspective, including its intensity, its long track, its direction of motion, and the time of day when it form

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Howard, Seth P., Kim E. Klockow-McClain, Alison P. Boehmer, and Kevin M. Simmons. "Firm Behavior in the Face of Severe Weather: Economic Analysis between Probabilistic and Deterministic Warnings." Weather and Forecasting 36, no. 3 (2021): 757–67. http://dx.doi.org/10.1175/waf-d-20-0107.1.

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AbstractTornadoes cause billions of dollars in damage and over 100 fatalities on average annually. Yet, an indirect cost to these storms is found in lost sales and/or lost productivity from responding to over 2000 warnings per year. This project responds to the Weather Research and Forecasting Innovation Act of 2017, H.R. 353, which calls for the use of social and behavioral science to study and improve storm warning systems. Our goal is to provide an analysis of cost avoidance that could accrue from a change to the warning paradigm, particularly to include probabilistic hazard information at

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Casteel, Mark A., and Joe R. Downing. "How Individuals Process NWS Weather Warning Messages on Their Cell Phones." Weather, Climate, and Society 5, no. 3 (2013): 254–65. http://dx.doi.org/10.1175/wcas-d-12-00031.1.

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Abstract U.S. government officials are focusing their attention on how to deliver timely and effective warning information to the public, especially given the devastating weather-related events that have occurred in recent years. With the increase of cell phones (and in particular, web-capable smartphones), weather warnings sent through various cellular technologies represent one way for officials to quickly notify an increasingly mobile public. Cellular technology innovations also make it possible for officials to broadcast information-rich media like graphics to cell phones. Whether warning

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Grasso, Valentina, Alfonso Crisci, Marco Morabito, et al. "Italian codified hashtags for weather warning on Twitter – who is really using them?" Advances in Science and Research 14 (April 4, 2017): 63–69. http://dx.doi.org/10.5194/asr-14-63-2017.

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Abstract. During emergencies, an increasing number of messages are shared through social media platforms, becoming a primary source of information for lay people and emergency managers. Weather services and institutions have started to employ social media to deliver weather warnings even if sometimes this communication lacks in strategy. In Twitter, for example, hashtagging is very important to associate messages with certain topics; in recent years, codified hashtagging is emerging as a practical way to coordinate Twitter conversations during emergencies and quickly retrieve relevant informat

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Tran, Martin, Samuel Kreinberg, Eric Specking, et al. "Smart Installation Weather Warning Decision Support." Systems 12, no. 1 (2024): 14. http://dx.doi.org/10.3390/systems12010014.

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Army installation commanders need timely weather information to make installation closure decisions before or during adverse weather events (e.g., hail, thunderstorms, snow, and floods). We worked with the military installation in Fort Carson, CO, and used their Weather Warning, Watch, and Advisory (WWA) criteria list to establish the foundation for our algorithm. We divided the Colorado Springs area into 2300 grids (2.5 square kilometers areas) and grouped the grids into ten microclimates, geographically and meteorologically unique regions, per pre-defined microclimate regions provided by the

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Weyrich, Philippe, Anna Scolobig, Florian Walther, and Anthony Patt. "Responses to severe weather warnings and affective decision-making." Natural Hazards and Earth System Sciences 20, no. 10 (2020): 2811–21. http://dx.doi.org/10.5194/nhess-20-2811-2020.

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Abstract. When public agencies provide information provision to help people make better decisions, they often face the choice between economy and completeness. For weather services warning people of high-impact weather events, this choice is between offering standard warnings (SWs) only of the weather event itself, such as wind-speed, or also describing the likely impacts (so-called impact-based warnings, IBWs). Previous studies have shown IBWs to lead to a greater behavioral response. These studies, however, have relied on surveys describing hypothetical weather events; given that participant

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Shilenje, Zablon W., and Bob A. Ogwang. "The Role of Kenya Meteorological Service in Weather Early Warning in Kenya." International Journal of Atmospheric Sciences 2015 (March 12, 2015): 1–8. http://dx.doi.org/10.1155/2015/302076.

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Early warning in weather forecasting entails provision of timely and effective weather information that allows individuals, organisations, or communities exposed to likely weather hazards to take action that avoids or reduces their exposure to risks. Various sectors have developed different ways to mitigate the effects of climate anomalies. The study reviews the existing monitoring and response structures, and communications flow channels of weather data at different levels, focusing on the role of Kenya Meteorological Service (KMS). The methodology employed was literature review of various do

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Lakshmanan, Valliappa, Travis Smith, Gregory Stumpf, and Kurt Hondl. "The Warning Decision Support System–Integrated Information." Weather and Forecasting 22, no. 3 (2007): 596–612. http://dx.doi.org/10.1175/waf1009.1.

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Abstract The Warning Decision Support System–Integrated Information (WDSS-II) is the second generation of a system of tools for the analysis, diagnosis, and visualization of remotely sensed weather data. WDSS-II provides a number of automated algorithms that operate on data from multiple radars to provide information with a greater temporal resolution and better spatial coverage than their currently operational counterparts. The individual automated algorithms that have been developed using the WDSS-II infrastructure together yield a forecasting and analysis system providing real-time products

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19

Hoffmann, David, Elizabeth E. Ebert, Carla Mooney, Brian Golding, and Sally Potter. "Using value chain approaches to evaluate the end-to-end warning chain." Advances in Science and Research 20 (July 11, 2023): 73–79. http://dx.doi.org/10.5194/asr-20-73-2023.

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Abstract. The weather information value chain provides a framework for characterising the production, communication, and use of information by all stakeholders in an end-to-end warning system covering weather and hazard monitoring, modelling and forecasting, risk assessment, communication and preparedness activities. Warning services are typically developed and provided through a multitude of complex and malleable value chains (networks), often established through co-design, co-creation and co-provision. In November 2020, a 4-year international project under the World Meteorological Organizati

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Kamaya, Noriko, Mitsuyuki Hoshiba, Akio Katsumata, and Keiji Doi. "Continuity of Earthquake and Tsunami Monitoring by Japan Meteorological Agency under Critical Conditions." Seismological Research Letters 92, no. 1 (2020): 17–25. http://dx.doi.org/10.1785/0220200259.

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Abstract The Japan Meteorological Agency (JMA) is a governmental organization that has responsibilities for mitigation of natural disasters. JMA issues warnings and information about natural disasters, in addition to daily weather forecasts. When an earthquake occurs, JMA analyzes seismic data to issue an earthquake early warning and to warn of possible tsunamis when a tsunami is expected to strike coastal areas of Japan. During tsunami warning in effect, JMA monitors tsunami meters and updates the warning. JMA also provides several types of macroseismic information. To fulfill these responsib

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Schultz, David M., Eve C. Gruntfest, Mary H. Hayden, Charles C. Benight, Sheldon Drobot, and Lindsey R. Barnes. "Decision Making by Austin, Texas, Residents in Hypothetical Tornado Scenarios*." Weather, Climate, and Society 2, no. 3 (2010): 249–54. http://dx.doi.org/10.1175/2010wcas1067.1.

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Abstract One of the goals of the Warning Project is to understand how people receive warnings of hazardous weather and subsequently use this information to make decisions. As part of the project, 519 surveys from Austin, Texas, floodplain residents were collected and analyzed. About 90% of respondents understood that a tornado warning represented a more serious and more likely threat than a tornado watch. Most respondents (86%) were not concerned about a limited number of false alarms or close calls reducing their confidence in future warnings, suggesting no cry-wolf effect. Most respondents r

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Losee, Joy E., Karen Z. Naufel, Lawrence Locker, and Gregory D. Webster. "Weather Warning Uncertainty: High Severity Influences Judgment Bias." Weather, Climate, and Society 9, no. 3 (2017): 441–54. http://dx.doi.org/10.1175/wcas-d-16-0071.1.

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Abstract Information about hurricanes changes as the storm approaches land. Additionally, people tend to think that severe events are more likely to occur even if the probability of that event occurring is the same as a less severe event. Thus, holding probability constant, this research tested the influence of severity on storm judgments in the context of updates about the approaching storm’s severity. In two studies, participants watched one of four (experiment 1) or one of five (experiment 2) sequences of updating hurricane warnings. The position of category 1 and category 5 hurricane warni

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Lusambili, Adelaide, Veronique Filippi, Britt Nakstad, et al. "Community perspectives of heat and weather warnings for pregnant and postpartum women in Kilifi, Kenya." PLOS ONE 19, no. 11 (2024): e0313781. http://dx.doi.org/10.1371/journal.pone.0313781.

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Background Extreme weather is a recognised risk factor for stillbirth and preterm birth, disrupts women’s access to healthcare during pregnancy and childbirth, and negatively affects the care of newborns. Reliable and accessible heat and weather warning systems are key in alerting individuals to undertake protective measures. There is a notable gap in understanding how women and caregivers in rural East Africa perceive and utilize weather information. We investigated community members’ heat and weather warning information-seeking behaviour, identified available sources, assessed their reliabil

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Gao, Jidong, Travis M. Smith, David J. Stensrud, et al. "A Real-Time Weather-Adaptive 3DVAR Analysis System for Severe Weather Detections and Warnings." Weather and Forecasting 28, no. 3 (2013): 727–45. http://dx.doi.org/10.1175/waf-d-12-00093.1.

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Abstract A real-time, weather-adaptive three-dimensional variational data assimilation (3DVAR) system has been adapted for the NOAA Warn-on-Forecast (WoF) project to incorporate all available radar observations within a moveable analysis domain. The key features of the system include 1) incorporating radar observations from multiple Weather Surveillance Radars-1988 Doppler (WSR-88Ds) with NCEP forecast products as a background state, 2) the ability to automatically detect and analyze severe local hazardous weather events at 1-km horizontal resolution every 5 min in real time based on the curre

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Eachus, Joshua D., and Barry D. Keim. "A Survey for Weather Communicators: Twitter and Information Channel Preferences." Weather, Climate, and Society 11, no. 3 (2019): 595–607. http://dx.doi.org/10.1175/wcas-d-18-0091.1.

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Abstract It has been almost a decade since researchers assessed user preferences in gathering weather information. Maturing channels and increasingly mobile audiences necessitate the need for understanding what channels people use for weather information, what information people want, and how they react to specific content—especially potentially life-saving warnings. Furthermore, geographically compartmentalizing this information will allow communication strategies to be tailored to a more localized audience. As an initiative to this effort, a survey of digitally connected Louisianians found d

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Kolawole, Oluwatoyin Dare, Moseki Ronald Motsholapheko, Barbara Ntombi Ngwenya, Ananias Moses, Melda Nonhle Makebea, and Matshidiso Tshidi Kaisara. "Smallholder Farmers’ Responses to Scientific Early Warning on Weather in the Okavango Delta, Botswana." Journal of Sustainable Development 11, no. 6 (2018): 82. http://dx.doi.org/10.5539/jsd.v11n6p82.

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Although formal channels of communication exist for conveying early warning scientific weather messages, it is widely believed that small-scale farmers continue to utilize traditional practices in obtaining weather information. This study identifies and assesses the factors which influence the uptake of scientific early warning weather information by small farmers in the Okavango Delta, Botswana. A descriptive-analytical design was used to study 90 farmers in Kareng and Bodibeng communities situated within the delta basin. A multi-stage sampling procedure was used to select the sample from an

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Tomczyk, Samuel, Maxi Rahn, Henriette Markwart, and Silke Schmidt. "A Walk in the Park? Examining the Impact of App-Based Weather Warnings on Affective Reactions and the Search for Information in a Virtual City." International Journal of Environmental Research and Public Health 18, no. 16 (2021): 8353. http://dx.doi.org/10.3390/ijerph18168353.

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Background: Warning apps can provide personalized public warnings, but research on their appraisal and impact on compliance is scarce. This study introduces a virtual city framework to examine affective reactions when receiving an app-based warning, and subsequent behavioral intentions. Methods: In an online experiment, 276 participants (M = 41.07, SD = 16.44, 62.0% female) were randomly allocated to one of eight groups (warning vs. no warning, thunderstorm vs. no thunderstorm, video vs. vignette). Participants were guided through a virtual city by a mock-up touristic app (t1). Then, the app i

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Bi, HuiJing, HongYan Zhang, YueMei Jiang, and XiLan Zhao. "A New Security Warning Model about Power Grid." MATEC Web of Conferences 160 (2018): 04005. http://dx.doi.org/10.1051/matecconf/201816004005.

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In recent years, lots of power grid blackouts at home and abroad indicates that the meteorological disasters caused by external meteorological conditions has gradually rose to major contradiction of power grid security. Basing on release information of meteorology, lightning monitoring information and power transmission equipment monitoring information, it established a weather warning model about power grid security, combined with real-time security analysis. Firstly, mathematical models of various types of weather conditions and weather risk assessment model grid were built, then actual oper

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Prianti, Ni Putu Nonik, Roddialek Pollo, Judi K. Nasjoro, and Sulton Kharisma. "Perbandingan Estimasi Radar Cuaca Dopler Baron Terhadap Data Observasi Kejadian Hujan Di Kota Kupang." Bumi Lestari Journal of Environment 20, no. 2 (2020): 1. http://dx.doi.org/10.24843/blje.2020.v20.i02.p01.

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Radar is able to provide information about extreme weather observations in the form of heavy rain, so it is important to find the level of accuracy of the radar in providing extreme weather information. So that with accurate data disaster mitigation can be done by creating an early warning system using radar data in order to minimize the impact that will occur. Comparative analysis of the estimated rainfall events on the radar with surface observation data shows a good level of accuracy, but the blankness of the data on the radar due to damage thus influences the decision making of the forecas

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Mohsen, S. Alsaadi, and D. Alotaibi Naif. "5G Network Slicing for Improved Meteorological Warning Dissemination." Journal of Intelligent Systems and Applied Data Science (JISADS) 1, no. 2 (2024): 35–40. https://doi.org/10.5281/zenodo.15477254.

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This study addresses challenges in meteorological warning dissemination by examining the limitations of traditional communication methods that have been used. Leveraging 5G technologies such as mobile communications, IoT, and advanced satellites, the research focuses on integrating 5G network slicing to enhance the transmission speed and accuracy of meteorological disaster warnings. The paper proposes a concise design reference scheme, defining key indices and requirements for 5G network slicing tailored to meteorological information transmission. The three-tiered end-to-end architecture of 5G

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Ali, Abdullah, Iddam Hairully Umam, Hesti Heningtyas, et al. "Pengembangan Sistem Peringatan Dini Cuaca Ekstrem Terintegrasi Berbasis Y-Model Webgis Development Methodology (Y-WDM)." Jurnal Geografi, Edukasi dan Lingkungan (JGEL) 6, no. 2 (2022): 87–100. http://dx.doi.org/10.22236/jgel.v6i2.8222.

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The incidence of hydrometeorological disasters in Indonesia is in the largest percentage for the last 10 years. The development of an integrated extreme weather early warning system is one of the initial processes in a series of hydrometeorological disaster mitigation efforts. Data models, observation and remote sensing become the database in early warning of extreme weather, the officers who carry out early detection of hazards so that they have sufficient waiting time to prepare an effective emergency response plan. In this study, an early warning system was built by implementing the Y-Model

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Yoder-Bontrager, Daryl, Joseph E. Trainor, and Madison Swenson. "Giving Attention: Reflections on Severe Weather Warnings and Alerts on Mobile Devices." International Journal of Mass Emergencies & Disasters 35, no. 3 (2017): 169–90. http://dx.doi.org/10.1177/028072701703500304.

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Smartphones are an increasingly important channel through which to issue weather alerts and warnings. Yet it is important to consider the nature of these devices and the implications for alerts and warnings. Alerts have traditionally been designed to get the attention of recipients while warnings provide the information needed to decide if it is necessary to take protective action. Smartphones are distinct from traditional channels in that they do both. They can be incredibly effective at delivering alerts and are also able to deliver multiple streams of warning information simultaneously to a

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Piciullo, Luca, Mads-Peter Dahl, Graziella Devoli, Hervé Colleuille, and Michele Calvello. "Adapting the EDuMaP method to test the performance of the Norwegian early warning system for weather-induced landslides." Natural Hazards and Earth System Sciences 17, no. 6 (2017): 817–31. http://dx.doi.org/10.5194/nhess-17-817-2017.

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Abstract. The Norwegian national landslide early warning system (LEWS), operational since 2013, is managed by the Norwegian Water Resources and Energy Directorate and was designed for monitoring and forecasting the hydrometeorological conditions potentially triggering slope failures. Decision-making in the LEWS is based upon rainfall thresholds, hydrometeorological and real-time landslide observations as well as on landslide inventory and susceptibility maps. Daily alerts are issued throughout the country considering variable size warning zones. Warnings are issued once per day for the followi

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Trinh Thu Phuong, Nguyen Tien Kien, Luong Huu Dung, and Luong Phuong Linh. "BUILDING A REAL-TIME INFORMATION AND FLASH FLOODS, LANDSLIDES EARLY WARNING SYSTEM IN MOUNTAINOUS AND MIDLAND AREAS OF VIET NAM." Tạp chí Khoa học Biến đổi khí hậu, no. 27 (September 30, 2023): 44–55. http://dx.doi.org/10.55659/2525-2496/27.85960.

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Flash flood is a natural disaster occurring shortly on small scale albeit with great devastation. In fact, the current flash flood events, landslide investigations and surveys from research agencies and local authorities play an important role in creating diverse data sources for researching and exploring the signs as well as modeling adjustment for detecting the risks. This article presents the results of making a Web portal used for the reception and integration of early warnings from citizens, local authorities and governing bodies against flash floods and landslides. This system collects r

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Demuth, Julie L., Rebecca E. Morss, Jeffrey K. Lazo, and Douglas C. Hilderbrand. "Improving Effectiveness of Weather Risk Communication on the NWS Point-and-Click Web Page." Weather and Forecasting 28, no. 3 (2013): 711–26. http://dx.doi.org/10.1175/waf-d-12-00118.1.

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Abstract The National Weather Service's (NWS) point-and-click (PnC) web page is a primary channel through which NWS directly provides routine and hazardous weather information to its users. The research presented here aims to improve risk communication of hazardous weather information on the PnC web page. The focus is on improving communication of threat existence and threat timing because this important information influences how individuals perceive and respond to a weather risk. Experimental presentations of PnC forecast information were designed for two weather scenarios: a severe thunders

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Krennert, Thomas, Georg Pistotnik, Rainer Kaltenberger, and Christian Csekits. "Crowdsourcing of weather observations at national meteorological and hydrological services in Europe." Advances in Science and Research 15 (May 18, 2018): 71–76. http://dx.doi.org/10.5194/asr-15-71-2018.

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Abstract. National Meteorological and Hydrological Services (NMHSs) increase their efforts to deliver impact-based weather forecasts and warnings. At the same time, a desired increase in cost-efficiency prompts these services to automatize their weather station networks and to reduce the number of human observers, which leads to a lack of “ground truth” information about weather phenomena and their impact. A possible alternative is to encourage the general public to submit weather observations, which may include crucial information especially in high-impact situations. We wish to provide an ov

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Shapovalov, Vitaliy A. "System of Warning about Dangerous Atmospheric Phenomena in the North Caucasus for Objects of Economic Activity." Materials Science Forum 931 (September 2018): 1019–24. http://dx.doi.org/10.4028/www.scientific.net/msf.931.1019.

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This paper presents the developed program-mathematical software for receiving, archiving, analysis and display of radar, lightning and satellite data on clouds and precipitation, interfacing of meteorological information. The program of processing of meteorological information "GIMET-2010" is established on a network of weather radars DMRL-C of the Russian Federation. An automated system combining radar and lightning detection system information applies to the command posts of the uniformed services on the fight against hail and centers of severe storm warning. Following items are provided: a

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Karstens, Christopher D., James Correia, Daphne S. LaDue, et al. "Development of a Human–Machine Mix for Forecasting Severe Convective Events." Weather and Forecasting 33, no. 3 (2018): 715–37. http://dx.doi.org/10.1175/waf-d-17-0188.1.

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Abstract Providing 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, transitioni

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USHIYAMA, Motoyuki. "AN ANALYSIS OF UNDERSTANDING OF USERS FOR GRADED WEATHER WARNING INFORMATION." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 70, no. 4 (2014): I_1513—I_1518. http://dx.doi.org/10.2208/jscejhe.70.i_1513.

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Tamamadin, M., A. Susandi, A. F. Pratama, et al. "Automation Process to Support an Information System on Extreme Weather Warning." IOP Conference Series: Materials Science and Engineering 803 (May 28, 2020): 012044. http://dx.doi.org/10.1088/1757-899x/803/1/012044.

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Wallace, Zebulon C. "Forecasters, emergency managers, and residents: Building better risk communication." Journal of Emergency Management 22, no. 3 (2024): 235–48. http://dx.doi.org/10.5055/jem.0745.

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The US National Weather Service (NWS) and emergency managers (EMs) around the country are tasked with communicating severe weather information to the public. Frequent interaction between professionals and residents is essential to building effective partnerships. This paper investigates these interactions and also explores the perspectives of NWS forecasters, EMs, and rural residents related to the efficacy of warning communication, message understanding, preferred platforms, and engagement in protective actions. Data for this study were collected through three original survey instruments that

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Krennert, Thomas, Rainer Kaltenberger, Georg Pistotnik, Alois M. Holzer, Franz Zeiler, and Mathias Stampfl. "Trusted Spotter Network Austria – a new standard to utilize crowdsourced weather and impact observations." Advances in Science and Research 15 (May 18, 2018): 77–80. http://dx.doi.org/10.5194/asr-15-77-2018.

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Abstract. Information from voluntary storm spotters has been an increasingly important part for the severe weather warning process at the Zentralanstalt für Meteorologie and Geodynamik (ZAMG), Austria's National Weather Service, for almost 15 years. In 2010 a collaboration was formalized and an annual training was established to educate voluntary observers into “Trusted Spotters”. The return of this investment is a higher credibility of their observations after these spotters have undergone a basic meteorological training and have become aware of their responsibility. The European Severe Storm

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de Baar, Jouke H. S., Irene Garcia-Marti, and Gerard van der Schrier. "Spatial regression of multi-fidelity meteorological observations using a proxy-based measurement error model." Advances in Science and Research 20 (June 6, 2023): 49–53. http://dx.doi.org/10.5194/asr-20-49-2023.

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Abstract. High-resolution weather maps are fundamental components of early warning systems, since they enable the (near) real-time tracking of extreme weather events. In this context, crowd-sourced weather networks producing low-fidelity observations are often the only type of data available at local (e.g. neighborhood) scales. In this work, we demonstrate that we can provide such maps by combining high-fidelity official weather data with low-fidelity crowd-sourced weather data and high-resolution covariate information. Because the crowd-sourced data contains significant bias and noise, we dev

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De la Luz, V., J. A. González-Esparza, M. Sergeeva, P. Corona-Romero, J. Mejía-Ambriz, and L. X. González. "The Mexican Early Warning System for Space Weather." Proceedings of the International Astronomical Union 13, S335 (2017): 236–39. http://dx.doi.org/10.1017/s1743921317010158.

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AbstractEarly Warning of Space Weather phenomena is one of the most important products produced by Mexican Space Weather Service (SCiESMEX). The aim is to deliver a verified warning to Mexican National Center for Disaster Prevention (CENAPRED) as well as to general public in near-real time automatically. First, the international pubic warning (or alert) is produced by Space Weather Prediction Center of National Oceanic and Atmospheric Administration, U.S.A. Further, the alert is received by SCiESMEX system, decodified, translated in Spanish and put in the context of local current conditions. T

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Raddaoui, Omar, and Mohamed M. Ahmed. "Evaluating the Effects of Connected Vehicle Weather and Work Zone Warnings on Truck Drivers’ Workload and Distraction using Eye Glance Behavior." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 3 (2020): 293–304. http://dx.doi.org/10.1177/0361198120910743.

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This study acts in support of the Wyoming Department of Transport (WYDOT) connected vehicle pilot efforts in the deployment of effective, safe, and user-centered connected vehicle (CV) applications and human machine interface (HMI) displays. This study sought to quantify the workload demands and distraction introduced by the pilot’s spot weather impact warning (SWIW) and work zone warning (WZW) applications on professional truck drivers. Using driving simulator experimentation and eye-tracking technology, the effects of exposure to the CV warnings on the participants’ glance behavior were quan

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Ou, Tsung-Hua, Tsun-Hua Yang, and Pei-Zen Chang. "Combination of Large Language Models and Portable Flood Sensors for Community Flood Response: A Preliminary Study." Water 17, no. 7 (2025): 1055. https://doi.org/10.3390/w17071055.

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The effectiveness of early warning systems can help people take action to mitigate the impact of extreme weather events once warnings are issued. The early warning systems developed by public agencies usually issue standard messages that, in many situations, may not affect all the people who receive the messages. In the long run, this can lead to behaviors in people who may not respond to relevant warnings, resulting in inefficiency. Users demand faster and more customized information that matches their needs, such as “How does this affect me right now?” or “What can I do to mitigate the impac

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Kim, Dae-Jun, Jin-Hee Kim, Eun-Jeong Yun, Dae Gyoon Kang, and Eunhye Ban. "Farmstead-Specific Weather Risk Prediction Technique Based on High-Resolution Weather Grid Distribution." Atmosphere 15, no. 1 (2024): 116. http://dx.doi.org/10.3390/atmos15010116.

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In recent years, the importance and severity of weather-related disasters have escalated, attributed to rising temperatures and the occurrence of extreme weather events due to global warming. The focus of disaster management has shifted from crisis management (e.g., repairing and recovering from damage caused by natural disasters) to risk management (e.g., prediction and preparation) while concentrating on early warning, thanks to the development of media and communication conditions. The Rural Development Administration (Korea) has developed the “early warning service for weather risk managem

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Lee, Ghangshin, Sooncheon Hwang, and Dongmin Lee. "Improvements of Warning Signs for Black Ice Based on Driving Simulator Experiments." International Journal of Environmental Research and Public Health 19, no. 12 (2022): 7549. http://dx.doi.org/10.3390/ijerph19127549.

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Black ice is one of the main causes of traffic accidents in winter, and warning signs for black ice are generally ineffective because of the lack of credible information. To overcome this limitation, new warning signs for black ice were developed using materials that change color in response to different temperatures. The performance and effects of the new signs were investigated by conducting driver behavior analysis. To this end, driving simulator experiments were conducted with 37 participants for two different rural highway sections, i.e., a curve and a tangent. The analysis results of the

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Hameed Rasheed, Ahmed, and Mohammed Al-Nouman. "RFID based Infrastructure to Vehicle Communication System for Road Sign Identification." Al-Iraqia Journal for Scientific Engineering Research 2, no. 1 (2023): 24–36. https://doi.org/10.58564/ijser.2.1.2023.58.

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This paper produces an efficient, low-cost solution for communication between Infrastructure and vehicles by exploiting the passive UHF RFID features to deploy a scalable platform that overcomes the limitation of current technology GPS, WIFI and camera used in intelligent transportation system (ITS). The limitations are GPS inaccuracy, camera failure in bad weather, WIFI extra time handshake, and high deployment cost. The suggested system provides fast communication in real time that's required in warning message transmission between Infrastructure and vehicles, like speed limit warning and cu

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Karavaev, D. M., Yu V. Kuleshov, and G. G. Shchukin. "Study of Ultra-High Frequency Radiometric Humidity Sounding of the Atmosphere for the Early Warning of Hazardous Weather Phenomena." Радиотехника и электроника 68, no. 6 (2023): 615–20. http://dx.doi.org/10.31857/s0033849423060050.

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Ground-based microwave radiometry was used to study the characteristics of the moisture content of the atmosphere during the development of cloud-related hazardous weather phenomena, precipitation, and thunderstorms. On the basis of complex radiophysical studies of the atmosphere, carried out in the Leningrad oblast, the possibility of improving the methods of early warning of dangerous weather phenomena and diagnostics Ground-based microwave radiometry was used to study the characteristics of the moisture content of the atmosphere during the development of cloud-related hazardous weather phen

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