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＜電子ブック＞
Dynamic Meteorology: Data Assimilation Methods / edited by L. Bengtsson, M. Ghil, E. Källen
(Applied Mathematical Sciences. ISSN:2196968X ; 36)

版	1st ed. 1981.
出版者	New York, NY : Springer New York : Imprint: Springer
出版年	1981
本文言語	英語
大きさ	XIV, 330 p. 8 illus : online resource
冊子体	Dynamic meteorology : data assimilation methods / Lennart Bengtsson, Michael Ghil, Erland Källén, editors ; : pbk
著者標目	Bengtsson, L editor Ghil, M editor Källen, E editor SpringerLink (Online service)
件　名	LCSH:Chemometrics LCSH:Computational intelligence LCSH:Atmospheric science FREE:Mathematical Applications in Chemistry FREE:Computational Intelligence FREE:Atmospheric Science
一般注記	An Overview of Meteorological Data Assimilation -- A Review of Methods for Objective Analysis -- Normal Mode Initialization -- Assimilation of Asynoptic Data and the Initialization Problem -- Applications of Estimation Theory to Numerical Weather Prediction -- Convergence of Assimilation Procedures -- Some Climatological and Energy Budget Calculations Using the FGGE III-b Analyses During January 1979 -- Appendix Provisional Report on Calculation of Spatial Covariance and Autocorrelation of the Pressure Field -- A. Eliassen One of the main reasons we cannot tell what the weather will be tomorrow is that we do not know accurately enough what the weather is today. Mathematically speaking, numerical weather prediction (NWP) is an initial-value problem for a system of nonlinear partial differential equations in which the necessary initial values are known only incompletely and inaccurately. Data at the initial time of a numerical forecast can be supplemented, however, by observations of the atmos­ phere over a time interval preceding it. New observing systems, in particular polar-orbiting and geostationary satellites, which are providing observations continuously in time, make is absolutely necess­ ary to find new and more satisfactory methods of assimilating meteorological observations - for the dual purpose of defining atmospheric states and of issuing forecasts from the states thus defined. FUndamental progress in this area has been made in recent years and this book attempts to give a review and some suggestions for further improvements in the field of meteorological data assimila­ tion methods. The European Centre for Medium Range Weather Forecasts (ECMWF) every year organises seminars for the benefit of meteorologists and geophysicists of the ECMWF Member states. The 1980 Seminar was devoted to data assimilation methods, and this book contains selected lectures from that seminar. The purpose of the seminar was twofold: it was intended to give a basic introduction to the subject, as well as an overview of the latest developments in the field Accessibility summary: This PDF is not accessible. It is based on scanned pages and does not support features such as screen reader compatibility or described non-text content (images, graphs etc). However, it likely supports searchable and selectable text based on OCR (Optical Character Recognition). Users with accessibility needs may not be able to use this content effectively. Please contact us at accessibilitysupport@springernature.com if you require assistance or an alternative format Inaccessible, or known limited accessibility No reading system accessibility options actively disabled Publisher contact for further accessibility information: accessibilitysupport@springernature.com HTTP:URL=https://doi.org/10.1007/978-1-4612-5970-1

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