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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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