An Introduction to Global Spectral Modeling
By: Krishnamurti, T. N [author.].
Contributor(s): Hardiker, V. M [author.] | Bedi, H. S [author.] | Ramaswamy, L [author.] | SpringerLink (Online service).
Material type:
BookSeries: Atmospheric and Oceanographic Sciences Library: 35Publisher: New York, NY : Springer New York, 2006.Edition: Second Revised and Enlarged Edition.Description: X, 320 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387329628.Subject(s): Earth sciences | Meteorology | Geophysics | Atmospheric sciences | Environmental sciences | Earth Sciences | Atmospheric Sciences | Meteorology | Geophysics/Geodesy | Earth Sciences, general | Environmental Monitoring/Analysis | Environmental PhysicsDDC classification: 551.5 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK4499 |
An Introduction to Finite Differencing -- Time-Differencing Schemes -- What Is a Spectral Model? -- Lower-Order Spectral Model -- Mathematical Aspects of Spectral Models -- Multilevel Global Spectral Model -- Physical Processes -- Initialization Procedures -- Spectral Energetics -- Limited Area Spectral Model -- Ensemble Forecasting -- Adaptive Observational Strategies.
Numerical weather prediction is receiving increased attention as weather forecasters aim to improve the numerical models used to forecast the weather. This is a textbook on global spectral modeling, which is an important component for global weather forecasts at numerous operational centers. This book covers all areas of model development including numerical analysis, treatment of clouds, mountains, radiation, precipitation processes, and the surface layers over land and the ocean. The objectives of this book are to provide a systematic and sequential background for students, researchers, and operational weather forecasters in order to develop comprehensive weather forecast models. This is designed for a one semester introductory graduate level course on weather prediction methodologies. As a prerequisite it requires a basic background in meteorology, applied mathematics, and numerical analysis.
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