article Open AccessTop 1% cited
A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results
Monthly Weather Review · 2004 · Vol. 132(4) · pp. 897–914
Dale Barker✉(NSF National Center for Atmospheric Research)Wei Huang(NSF National Center for Atmospheric Research)Y-R. Guo(NSF National Center for Atmospheric Research)Al Bourgeois(NSF National Center for Atmospheric Research)Q. Xiao(NSF National Center for Atmospheric Research)
Abstract
A limited-area three-dimensional variational data assimilation (3DVAR) system applicable to both synoptic and mesoscale numerical weather prediction is described. The system is designed for use in time-critical realtime applications and is freely available to the data assimilation community for general research.
Meteorological Phenomena and SimulationsClimate variability and modelsTropical and Extratropical Cyclones ResearchMM5Data assimilationMesoscale meteorologyMeteorologyWeather Research and Forecasting ModelCovarianceTyphoonComputer scienceEnvironmental scienceNumerical weather prediction
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