1987
DOI: 10.1175/1520-0477(1987)068<1111:rtaolw>2.0.co;2
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Real-Time Analysis of Local Wind Patterns for Application to Nuclear-Emergency Response

Abstract: Pacific Gas and Electric Company (PGandE) has sponsored development of a computer-based system for real-time analysis of local wind measurements in a complex-terrain setting. Mass-consistent modeling of tower-and Doppler-sounder data produces spatial wind-vector patterns on a color-graphic display. The system is currently deployed at the Diablo Canyon Nuclear Power Plant to assist meteorologists in supporting response to radiological emergencies.

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Cited by 13 publications
(9 citation statements)
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“…The first special data source is a three-station network operated by PG&E in support of their Diablo Canyon nuclear power plant (Thuillier 1987). These stations consist of a 10-m tower located at Pt.…”
Section: Satellite Imagery and Meteorologicalmentioning
confidence: 99%
“…The first special data source is a three-station network operated by PG&E in support of their Diablo Canyon nuclear power plant (Thuillier 1987). These stations consist of a 10-m tower located at Pt.…”
Section: Satellite Imagery and Meteorologicalmentioning
confidence: 99%
“…The network includes seven sites operated by Pacific Gas and Electric Company (PG&E) for emergency response at DCNPP; 15 six sites operated by the San Luis Obispo County Air Pollution Control District (APCD) and five additional airport, buoy, and lighthouse sites. This network was supplemented by aircraft temperature soundings at five additional sites.…”
Section: Meteorological Measurementsmentioning
confidence: 99%
“…A rise in storm-related monetary losses for Europe in the course of the 20th century has been observed by Barredo [3], explained principally by changes in economic and demographic conditions, with much of the recent infrastructure in various parts of the world increasingly constructed in zones at risk from severe weather [2]. Therefore, the knowledge of atmospheric circulation patterns, particularly the one dealing with atmospheric patterns conducive to risky meteorological situations related to extreme wind events, is especially important for wind energy applications [4][5][6]. Forecasters, energy producers and grid operators have different views on what extremes related to wind generation are.…”
Section: Introductionmentioning
confidence: 99%