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The Role of Automation in Aviation Weather: Product Development and General Aviation Pilot Performance
Published in Mustapha Mouloua, Peter A. Hancock, James Ferraro, Human Performance in Automated and Autonomous Systems, 2019
Yolanda Ortiz, Thomas A. Guinn, Jayde M. King, Robert L. Thomas, Beth L. Blickensderfer
Pilots who dial up ASOS or AWOS via radio receive nonaugmented weather information versus the augmented version they would obtain if they downloaded the official METAR. When the ASOS or AWOS is running in fully automatic mode with no human augmentation, the system has no capability to provide information regarding the proximity or movement of nearby thunderstorms not located at the station (e.g., TS N MOV E, or translated, thunderstorms to the north and moving eastward). The end result is that GA pilots who are unfamiliar with the differences between HITL or HOTL systems may be left thinking they have more complete knowledge of weather conditions than is actually the case.8
Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features
Published in International Journal of Digital Earth, 2021
Christopher Scheele, Manzhu Yu, Qunying Huang
The meteorological data offers a variety of ways to measure the hurricane both qualitatively and quantitatively. Additionally, the generated data is from different sources with different formats and different spatial and temporal resolutions (Table 1). Hurricane track points, produced by the National Hurricane Center, indicate the location of the hurricane center at important stages in the life of the storm (e.g. change in strength or landfall). By connecting the points, one can get a sense of the overall track of the storm. To get more detailed weather measurements on the ground, 128 Automated Weather Observing System (AWOS) stations were used. These stations are primarily located at airports and take measurements at least every hour depending on the conditions. AWOS units collect data on many weather variables, such as wind, temperature, dew point, precipitation, and pressure. The radar data comes from six different NWS radar stations in the study area. In terms of data storage, the radar data was by far the largest dataset at ∼45GB due to the temporal resolution (Table 1). Two products were kept for the rest of the study: base reflectivity (the common weather radar view) and storm total precipitation.
Updating and augmenting weather data for pavement mechanistic-empirical design using ASOS/AWOS database in Michigan
Published in International Journal of Pavement Engineering, 2018
Xu Yang, Zhanping You, Jacob Hiller, David Watkins
AWOS/ASOS is a weather information collection system designed to serve meteorological and aviation observation needs. AWOS is primarily operated and controlled by the Federal Aviation Administration (FAA), but also supported by state and local governments. AWOS stations generally report weather information at 20-min intervals. ASOS is operated and controlled cooperatively by the National Weather Service, the FAA and the Department of Defense. There are more than 900 ASOS sites in the United States. Generally, ASOS reports weather data every hour, but it also reports special observations if rapid changes in weather conditions occur (NOAA., et al.1998). For Michigan, ASOS/AWOS stations cover most of the areas throughout the state except for the western Upper Peninsula (UP), as shown in Figure 1(b). Compared to the current weather database in the PMED, the ASOS/AWOS database has much wider coverage. ASOS/AWOS can provide hourly weather information of 10 parameters including wind speed, visibility, weather, sky condition, temperature, relative humidity, wind chill, heat index, pressure and precipitation.