New Frontiers in Stellar Interferometry 2004
DOI: 10.1117/12.552187
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Effects of airborne particles on optical equipment

Abstract: Observatories are affected by dust particles in the air and those that settle on the mirror surfaces. Here we analyze seven years of weather and dust particle data from the Apache Point Observatory (APO) in Sunspot, New Mexico, to find correlations between dust and other weather factors, and also find correlations between the APO data and the Magdalena Ridge Observatory(MRO) weather data. Exposure of optics to strong dust events should be avoided, so we considered different possible observatory closure criteri… Show more

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“…APO is northeast of the White Sands National Monument, while MRO is located east and northeast of two large deserts extending into Arizona and Mexico, the Sonoran and Chihuahuan. The weather data from APO has been shown to be almost identical to the data from MRO, except that some of the events are slightly staggered temporally because of the difference in longitude and latitude of the observatories (Gorgievska & Steinebach 2004). The prevailing wind direction at MRO is out of the southwest to west (Klinglesmith et al 2004).…”
Section: Weather Data Comparison At Mro and Apomentioning
confidence: 82%
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“…APO is northeast of the White Sands National Monument, while MRO is located east and northeast of two large deserts extending into Arizona and Mexico, the Sonoran and Chihuahuan. The weather data from APO has been shown to be almost identical to the data from MRO, except that some of the events are slightly staggered temporally because of the difference in longitude and latitude of the observatories (Gorgievska & Steinebach 2004). The prevailing wind direction at MRO is out of the southwest to west (Klinglesmith et al 2004).…”
Section: Weather Data Comparison At Mro and Apomentioning
confidence: 82%
“…Our analysis included different combinations of weather phenomena, such as temperature and barometric pressure, dew point and wind speed, etc. We chose to examine combinations of weather phenomena because previous studies at this and other observatories (Gorgievska & Steinebach 2004;Giordano & Sarazin 1994;Porceddu et al 2002) found no single correlatable weather phenomenon useful for predicting dust events. Hence, we examined the data looking for a set of two or more levels or changes in levels in meteorological measurable quantities which precede most dust events.…”
Section: Discussionmentioning
confidence: 99%
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