The National Weather Service (NWS) is responsible for ensuring that the U.S is a weather ready nation. The mission of the NWS focuses on protecting the lives and property of those in the U.S, while also enhancing the national economy. The number of high-impact weather events have increased over the past decades, suggesting a need for a more effective NWS. This paper focuses on improving the NWS by following the systems engineering approach and using system architecting principles.

One of the greatest natural hazards that is faced with in much of the United States are tornadoes. Despite improvements in the warning processes, the risk of significant loss of life remains high. That is particularly true with vulnerable communities which have higher proportions of mobile homes; however, violent tornadoes are very difficult to manage in permanent homes or buildings as well. As a result, tornado shelters have been built in some communities and have become available to the public. However, their presence is intermittent, and there are many tornado-prone areas that lack such shelters. After a public survey, it was found that there was unmet demand for tornado shelters and, at least in the most extreme circumstances, a large percentage of the population would be willing to utilize such. It was also found that better communication of tornado shelters would increase utilization rates either in circumstances where they already exist or where the need exists. Some residents, particularly those in mobile homes, were likely to utilize shelters more frequently, which increased their need to an even greater extent. Once both the public and broadcast meteorologists were surveyed, it was found that the public was strongly supportive of mobile applications about tornado shelters in their area, and local television sources and the websites and applications related to those stations were also popular sources. Broadcast meteorologists in the Deep South in particular mentioned the need for more shelters and advocated construction, but not as much in other regions. They mentioned that mobile apps would be quite useful for the public to locate shelters. A case study in the context of the concurrent COVID-19 pandemic (knowing that crowded spaces was not a desirable situation amidst the pandemic) found that shelters were still potentially useful with mitigation. Those concurrent hazards made for a more challenging study and proved to be a valuable case study in tornado sheltering. The results found that it was possible to attenuate both threats provided that careful planning and actions were undertaken. As a result, both short-term and long-term recommendations were suggested which may also be useful in future pandemic situations.

Yes / In this study a method for 3D representation of active regions and sunspots that are detected from Solar and Heliospheric Observatory/Michelson Doppler Imager magnetogram and continuum images is provided. This is our first attempt to create a visual solar catalogue. Because of the difficulty of providing a full description of data in text based catalogues, it can be more accurate and effective for scientist to search 3D solar feature models and descriptions at the same time in such a visual solar catalogue. This catalogue would improve interpretation of solar images, since it would allow us to extract data embedded in various solar images and visualize it at the same time. In this work, active regions that are detected from magnetogram images and sunspots that are detected from continuum images are represented in 3D coordinates. Also their properties extracted from text based catalogues are represented at the same time in 3D environment. This is the first step for creating a 3D solar feature catalogue where automatically detected solar features will be presented visually together with their properties.

Yes / Solar imaging is currently an active area of research. A fast hybrid system for the automated detection of filaments in solar images is presented in this paper. The system includes three major stages. The central solar region is detected in the first stage using integral projections. Intensity filtering and image enhancement techniques are implemented in the second stage to enhance the quality of detection in the central region. Local detection windows are implemented in the third stage to detect the positions of filaments and to define various sized arrays to contain them. The extracted arrays are fed later to a neural network for verification purposes.

Mesonet stations are environmental monitoring systems used to examine environmental features such as Precipitation, Temperature, Insolation, Soil Moisture, and Localized Hazards. network of Mesonet stations is an integral part of weather and climate monitoring and the data produced are essential for agriculture, planning, transportation, and other industries. Tennessee is one of the few states without a Mesonet; a bill currently before the state assembly includes funding for such a system. Therefore, this research describes development of a Mesonet suitability layer for Tennessee that can be used to guide placement of individual Mesonet stations across the state, taking into account spacing, terrain, land use, construction suitability, and other factors. Land cover, road centerline, roughness, elevation, flood zone, building footprint, and soil type data were obtained from USGS, FEMA, NLCD, and the Tennessee state database to create each layer. Using ArcGIS Pro, each data layer was converted to a raster and then masked to the state of Tennessee at 30-meter resolution to ensure proper alignment of data overlays. The combined overlay map will identify zones that meet suitability criteria, and it is expected that multiple areas in each county will meet the such that a complete Mesonet network can be sited across the state. This study provides important information needed for final placement of Tennessee’s future Mesonet stations, which will provide essential weather and environmental monitoring data important for Tennessee.

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The development of posttraumatic stress disorder (PTSD) and severe weather phobia (SWP) symptoms in relation to weather-related trauma was examined. Participants were college students (N = 815) enrolled at Mississippi State University. Findings suggest that distinct factors (specifically, disorder-specific cognitions and anxiety sensitivity) contribute to the development of PTSD and in the onset of SWP symptoms following exposure to weather-related trauma. A weather trauma model taking into account disorder-specific cognitive vulnerabilities, previous exposure to weather-related trauma, and levels of anxiety sensitivity is suggested to provide an explanation for these differences. The results suggest that prevention and treatment efforts should address learned fear response, aim at reducing anxiety sensitivity, and target disorder-specific cognitions.

Small UAV?s and flight vehicles in other atmospheres such as Mars are characterized by low Reynolds numbers. Low Reynolds number airfoil testing has been difficult to achieve and there are few centers that can accomplish this task. This study is an effort to develop a flight test system that will enable low Reynolds number tests to be performed with a simple glider design. The concept is to develop a high altitude glider that will be transported to altitudes reaching 100,000 feet or more by a helium filled balloon. At altitude, the glider will be released and will perform flight experiments as it descends. This region of Earth?s atmosphere, ?near space? has the conditions desired for low Reynolds number testing as well as similar properties to the surface of Mars. With the knowledge gained from this experiment, a better understanding of accomplishing flight on Mars may be attained.

Studies show teenagers are influenced by television. This study tested the hypothesis that students can learn meteorology by viewing a weather forecast on Music Television (MTV). MTV was used because it is the network watched most by adolescents. Two surveys were administered to 175 high school students along with a DVD showing a weather forecast for MTV’s Spring Break. Half of the sample group was told the forecast was for MTV and the other was told it was for Channel One. Results showed that there was no statistically significant difference between MTV and Channel One in information recalled from the forecast. Results also showed the White student population recalled more information from the weather forecast format than the other races surveyed in the study. Additionally a series of concert forecasts was pilot-tested on 15 bands with very positive and promising feedback.

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