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Titel |
Numerical forecasting at ALMA observatory using WRF data assimilation |
VerfasserIn |
Diana Pozo, Julio C. Marin, Manuel Olivares, Jorge Arevalo, Michel Cure |
Konferenz |
EGU General Assembly 2014
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 16 (2014) |
Datensatznummer |
250100169
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Publikation (Nr.) |
EGU/EGU2014-16061.pdf |
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Zusammenfassung |
The ALMA (Atacama Large Millimeter Array) observatory is located in the Chajnantor plateau in the North of Chile, at 5100 m of height. This is a region with scarce observations, clear skies and dry conditions during a large part of the year.
The present study uses WRF data assimilation to improve the numerical weather forecasts of near-surface variables and precipitable water vapor (PWV) at ALMA observatory. Four days were selected, two of them showed large PWV values as a result of the influence of synoptic scale perturbations on the region, and the other two showed very low PWV values. A number of simulations with different data assimilation combinations and a Control simulation were performed for each of these 4 days to analyze their influence on the weather forecasts at the site. Assimilating data only in the innermost domain (1km horizontal resolution) seems to provide the best results. |
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