Titlebook: Ocean Weather Forecasting; An Integrated View o Eric P. Chassignet,Jacques Verron Book 2006 Springer Science+Business Media B.V. 2006 Coast

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書目名稱Ocean Weather Forecasting影響因子(影響力)




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書目名稱Ocean Weather Forecasting網(wǎng)絡(luò)公開度




書目名稱Ocean Weather Forecasting網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Ocean Weather Forecasting被引頻次




書目名稱Ocean Weather Forecasting被引頻次學(xué)科排名




書目名稱Ocean Weather Forecasting年度引用




書目名稱Ocean Weather Forecasting年度引用學(xué)科排名




書目名稱Ocean Weather Forecasting讀者反饋




書目名稱Ocean Weather Forecasting讀者反饋學(xué)科排名

殺蟲劑

DUCE

The ECMWF Perspectiveean models are used, requiring analyses of the ocean state. These in turn depend heavily on atmospheric analyses and reanalyses. Aspects of the atmospheric and oceanic assimilation systems used operationally are discussed, together with some limitations of current systems.

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In-Situ Observations: Operational Systems and Data Managementsearch one in term of sustainability, coverage, timeliness, implementation issues and international coordination. It highlights the main features that have to be put in place for operational system data management and differences between different architectures that are nowadays operated.

陳腐的人

Mersea: Development of a European Ocean Monitoring and Forecasting Systemine resources. Thus . objectives are very close to those of ., to which the project federates the European contribution. As it is still in its initial phase, this chapter does not present results yet, but aims to outline the scope and work plan of the project.

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紋章

Satellite Measurements for Operational Ocean Modelsnational programme for combining sea surface temperature data from many sources, as an example of the issues involved in effectively preparing satellite data for ingestion into models. It concludes with comments on the actions needed to achieve the integration of satellite and . data with ocean models in an operational system.

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Importance of Data: A Meteorological Perspectivee amount of data to be assimilated and of their error characteristics, and a relevant selection of data based on information content concepts. A more interactive forecasting system including an adaptive observation component is a new challenge to bring additional improvement in the forecasting of high-impact weather.