Publication | Open Access
Automated Meteorological Reports from Commercial Aircraft
167
Citations
16
References
2003
Year
ClimatologyMeteorologyCommercial AircraftNumerical Weather PredictionEngineeringData ScienceAerospace EngineeringAtmospheric ScienceGeographyWeather ForecastingData IntegrationMeteorological MeasurementForecastingCoastal MeteorologyVertical Wind GustEarth Science
Commercial aircraft now provide over 130,000 meteorological observations daily—including temperature, winds, and sometimes humidity, vertical wind gust, or turbulence—that are used by NCEP and other centers for numerical weather prediction and serve as the primary upper‑air source at nonsynoptic times and are critical along oceanic routes. A web site (http://acweb.fsl.noaa.gov/) gives selected users access to proprietary airline data, which can be displayed in various ways and downloaded for local processing. This paper describes the data and shows how they have been useful in weather forecasting and numerical weather prediction. Examples demonstrate that the data improve forecasting and NWP.
Commercial aircraft now provide over 130,000 meteorological observations per day, including temperature, winds, and in some cases, humidity, vertical wind gust, or eddy dissipation rate (turbulence). The temperature and wind data are used in most operational numerical weather prediction models at NCEP and at other centers worldwide. At nonsynoptic times, these data are often the primary source of upper-air information over the United States. Even at synoptic times, these data are critical in depicting the atmosphere along oceanic air routes. A Web site [http://acweb.fsl.noaa.gov/] has been developed that gives selected users access to these data. Because the data are proprietary to the airlines, real-time access is restricted to entities such as government agencies and nonprofit research institutions (although sample past data are available to all). Data can be displayed in a variety of ways and can be downloaded for local processing. These data are described here, and examples of how they have been useful in weather forecasting and numerical weather prediction are shown.
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