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Mesospheric Momentum Fluxes Observed by the MST Radar at Poker Flat, Alaska
Publisher: American Meteorological Society
Abstract: An analysis of the wave motions observed with the Poker Flat MST radar during the winter, summer, and fall of 1986 is presented in this paper. Monthly and daily mean winds, momentum fluxes, and velocity variances are ...
Evidence of Gravity Wave–Tidal Interaction Observed near the Summer Mesopause at Poker Flat, Alaska
Publisher: American Meteorological Society
Abstract: An analysis of gravity wave-tidal interaction observed near the mesopause by the MST radar at Poker Flat in July of 1986 is presented. Our observations revealed daily mean wind maxima of ?60 m s?1 westward and 20 m s?1 ...
Doppler-shifting Effects on Frequency Spectra of Gravity Waves Observed near the Summer Mesopause at High Latitude
Publisher: American Meteorological Society
Abstract: Frequency spectra of horizontal and vertical velocities were inferred from MST radar observations near the summer mesopause at Poker Flat, Alaska. Height variations of the frequency spectra revealed only slight growth of ...
Observational Evidence of the Influence of the Qinghai-Xizang (Tibet) Plateau on the Occurrence of Heavy Rain and Severe Convective Storms in China
Publisher: American Meteorological Society
Abstract: The advance and distribution of the belts of rainfall and heavy rainfall in China are closely related to sudden seasonal changes in the general circulation over East Asia. but the latter, to a great extent, may be the ...
Gravity Wave and Tidal Structures between 60 and 140 km Inferred from Space Shuttle Reentry Data
Publisher: American Meteorological Society
Abstract: This study presents an analysis of density measurements made using high-resolution accelerometers aboard several space shuttles at altitudes from 60 to 140 km during reentry into the earth's atmosphere. The observed density ...
An Intelligent Failure Mode Identification Model for Wind Turbines
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. This article proposes an intelligent failure mode identification model to automatically identify failure modes of wind turbines from textural maintenance records collected from wind farms. Initially, an identity ...
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