Titlebook: Data Assimilation; Making Sense of Obse William Lahoz,Boris Khattatov,Richard Menard Book 2010 Springer-Verlag Berlin Heidelberg 2010 Atmos

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Michelle Ann Miller,Tim Bunnelle over a period of several hours up to 1 or 2 weeks ahead. This approach is central to modern operational weather forecasting: it is the improvements in NWP systems that have led to continual improvements in the skill of weather forecasts over recent decades.

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On the Energy Supply of Clear Air TurbulenceOne of the standard assumptions in data assimilation is that observation and model errors are purely random, i.e., they do not contain systematic errors (see chapter ., Nichols). In reality, the distinction between random errors and systematic errors is somewhat academic.

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Monetizing Your Blog for Fun and ProfitThe theory of statistical linear estimation (., or . – the term . is also used), upon which a large number of presently existing assimilation algorithms are based, has been described in chapter . (Talagrand).

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Automatic Speech Recognition(ASR)The aim of this chapter is to give a general overview of the atmospheric circulation, highlighting the main concepts that are important for a basic understanding of meteorology and atmospheric dynamics relevant to atmospheric data assimilation.