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Titlebook: Dynamic Meteorology: Data Assimilation Methods; Lennart Bengtsson,Michael Ghil,Erland K?llén Book 1981 Springer-Verlag New York, Inc. 1981

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發(fā)表于 2025-3-25 06:38:57 | 只看該作者
https://doi.org/10.1007/978-1-4612-5970-1Meteorologie; Meteorology; Orbit; Weather; satellite; satellites
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發(fā)表于 2025-3-25 07:48:32 | 只看該作者
978-0-387-90632-4Springer-Verlag New York, Inc. 1981
23#
發(fā)表于 2025-3-25 12:55:11 | 只看該作者
0066-5452 field of meteorological data assimila- tion methods. The European Centre for Medium Range Weather Forecasts (ECMWF) every year organises seminars for the benefi978-0-387-90632-4978-1-4612-5970-1Series ISSN 0066-5452 Series E-ISSN 2196-968X
24#
發(fā)表于 2025-3-25 17:02:38 | 只看該作者
Book 1981ess 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 benefi
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發(fā)表于 2025-3-25 21:18:00 | 只看該作者
Assimilation of Asynoptic Data and the Initialization Problem,o the system..Finally, we review the . of Kreiss. It states that in systems with a fast and a slow time scale, initial data can be chosen so that the solution starts out slowly. For such initial data, the solution will actually stay slow for a length of time comparable to the slow time scale. The ap
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發(fā)表于 2025-3-26 04:01:15 | 只看該作者
27#
發(fā)表于 2025-3-26 06:32:53 | 只看該作者
Lilium,o the system..Finally, we review the . of Kreiss. It states that in systems with a fast and a slow time scale, initial data can be chosen so that the solution starts out slowly. For such initial data, the solution will actually stay slow for a length of time comparable to the slow time scale. The ap
28#
發(fā)表于 2025-3-26 09:11:51 | 只看該作者
29#
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A Review of Methods for Objective Analysis,ibuted in space and time. The procedure of combining these observed data to make conclusions about the total variation of the meteorological variables within the area of interest, has generally been called meteorological analysis. The term “objective analysis” has been used for analysis as a numeric
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