Editore: Lightform Publications, 2004
Da: Karl Theis, Torrance, CA, U.S.A.
No Binding. Condizione: New. BRAND NEW SEALED DVD. UPC 658965152465.
Lingua: Inglese
Editore: VDM Verlag Dr. Müller e.K., 2010
ISBN 10: 3639175840 ISBN 13: 9783639175844
Da: Buchpark, Trebbin, Germania
EUR 46,07
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 154,50
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Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: moluna, Greven, Germania
EUR 52,71
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sippel JasonJason Sippel is currently a postdoctoral fellow at NASA. He received his Ph.D. from Texas A&M University. Fuqing Zhang is a professor at Pennsylvania State University. He received the 2009 American Meteorological Socie.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,59
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Through methodology unique for tropical cyclones in peer-reviewed literature and through examination of two tropical cyclone events, this study uses ensemble forecasts, sensitivity analysis, and ensemble data assimilation to explore the dynamics and predictability of tropical cyclone formation with state-of-the-art cloud-resolving mesoscale models. In both of these cases, high convective available potential energy and mid-level moisture were found to benefit genesis. The strong sensitivity to initial condition differences in both cases exemplifies the inherent uncertainties in hurricane intensity prediction where moist convection is the key that limits predictability. The success of using an ensemble Kalman filter in assimilating Doppler radar radial velocity observations of a hurricane demonstrates that, even in cases of extreme uncertainty in a tropical cyclone, advanced data assimilation and subsequent event-dependent probabilistic forecasts can offer significant benefits.