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pro vyhledávání: '"V. M. Hardiker"'
This book is an indispensable guide to the methods used by nearly all major weather forecast centers in the United States, England, Japan, India, France, and Australia. Designed for senior-level undergraduates and first-year graduate students, the bo
Publikováno v:
An Introduction to Global Spectral Modeling
In this chapter we provide an introduction to the topic of spherical harmonics as basis functions for a global spectral model. The spherical harmonics are made up of trigonometric functions along the zonal direction and associated Legendre functions
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https://explore.openaire.eu/search/publication?articleId=doi_________::0eb5383639070e83d47302a7225cd408
https://doi.org/10.1093/oso/9780195094732.003.0008
https://doi.org/10.1093/oso/9780195094732.003.0008
This book is an indispensable guide to the methods used by nearly all major weather forecast centers in the United States, England, Japan, India, France, and Australia. Designed for senior-level undergraduates and first-year graduate students, the bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10ebfea23d08b23115a3639e037448b2
https://doi.org/10.1093/oso/9780195094732.001.0001
https://doi.org/10.1093/oso/9780195094732.001.0001
Publikováno v:
An Introduction to Global Spectral Modeling
Since the 1970s, the spectral method has become an increasingly popular technique for global numerical weather prediction. Global numerical models formulated using the spectral technique are used worldwide for both research and operational purposes.
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https://explore.openaire.eu/search/publication?articleId=doi_________::286e18819b05d81069517d09f414a65a
https://doi.org/10.1093/oso/9780195094732.003.0009
https://doi.org/10.1093/oso/9780195094732.003.0009
Publikováno v:
An Introduction to Global Spectral Modeling
This system was first developed by Lorenz (1960b). It is an elegant system that provides an introduction to the concepts of spectral modeling, based on the use of double Fourier series representations of the basic equations in a doubly periodic domai
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https://doi.org/10.1093/oso/9780195094732.003.0007
https://doi.org/10.1093/oso/9780195094732.003.0007
In this chapter we describe two of the most commonly used initialization procedures. These are the dynamic normal mode initialization and the physical initialization methods. Historically, initialization for primitive equation models started from a h
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https://doi.org/10.1093/oso/9780195094732.003.0011
https://doi.org/10.1093/oso/9780195094732.003.0011
In this chapter we present spectral energetics. This is a useful tool for the interpretation of model output. It can be used to interpret both short term weather evolution and climate time scales. These same procedures can be used with both real atmo
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https://doi.org/10.1093/oso/9780195094732.003.0012
https://doi.org/10.1093/oso/9780195094732.003.0012
In this chapter we present some of the physical processes that are used in numerical weather prediction modeling. Grid-point models, based on finite differences, and spectral models both generally treat the physical processes in the same manner. The
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https://explore.openaire.eu/search/publication?articleId=doi_________::62d9af2937730cc1825f8ef49966a130
https://doi.org/10.1093/oso/9780195094732.003.0010
https://doi.org/10.1093/oso/9780195094732.003.0010
Publikováno v:
An Introduction to Global Spectral Modeling
Atmospheric models generally require the solutions of partial differential equations. In spectral models, the governing partial differential equations reduce to a set of coupled ordinary nonlinear differential equations where the dependent variables
Externí odkaz:
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https://doi.org/10.1093/oso/9780195094732.003.0005
https://doi.org/10.1093/oso/9780195094732.003.0005
Publikováno v:
An Introduction to Global Spectral Modeling
This chapter on finite differencing appears oddly placed in the early part of a text on spectral modeling. Finite differences are still traditionally used for vertical differencing and for time differencing. Therefore, we feel that an introduction to
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https://doi.org/10.1093/oso/9780195094732.003.0004
https://doi.org/10.1093/oso/9780195094732.003.0004