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Titlebook: Computer Modelling in Atmospheric and Oceanic Sciences; Building Knowledge Peter Müller,Hans Storch Textbook 2004 Springer-Verlag Berlin He

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楼主: Disaster
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Concluding Comments and Future Outlookes scientists to rely on the substitute reality provided by models, especially computer models. For most environmental scientists it seems intuitively clear what models are, but a closer examination reveals many different views. Indeed, curricula in meteorology, oceanography and other environmental
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https://doi.org/10.1007/978-3-642-79760-6r models in this book are based on dynamical equations that represent the laws of nature for the system under consideration. These dynamical laws are partial differential equations in space and time for a set of state variables. These equations can in most cases not be solved analytically but must b
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Andries Sarlemijn,Marc de Vriesating our line of reasoning. The first case is the tides. They represent within limits a clear-cut, well-understood almost classical physical system. Its understanding has resulted in numerous important societal applications. The second case is climate. It is considerably more complex. It comprises
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Effect Theory of the Technological Economy the state of a system, and in studying plausible scenarios. These efforts generally result in large data sets, which then serve as input for other studies, such as assessments of past systematic changes, the estimation of the intensity of rare events, or decisions about future activities. In this c
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Theory of the Technological Economy Entityustrated it by many examples. Quasi-realistic models are not only an important but an indispensable part in the tool box of the environmental scientist. They are indispensable as they often constitute the only way to extrapolate beyond the immediate range of experience and to determine characteristi
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https://doi.org/10.1007/978-3-662-06381-1Climate; Meteorology; Ocean; Oceanography; Sciences; Tide; modeling; simulation; climate change
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Issues and Conclusions,ustrated it by many examples. Quasi-realistic models are not only an important but an indispensable part in the tool box of the environmental scientist. They are indispensable as they often constitute the only way to extrapolate beyond the immediate range of experience and to determine characteristics of the state of the system.
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