Data Assimilation for Numerical Weather Prediction: A Review
Data Assimilation for Numerical Weather Prediction: A Review
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DOI：
10.1007/978-3-540-71056-1_2
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Ionel M. Navon
中科院分区：
文献类型：
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作者：
Ionel M. Navon
在过去的20年里，资料同化在数值天气预报中心以及许多联邦研究机构和大学的活动中逐渐达到了一个成熟的中心地位。除了业务中心或联邦研究机构的气象学家和海洋学家外，许多在应用和计算数学研究社区。数据同化或4-D VAR现在也扩展到其他地球科学领域，如水文和地质，并导致出版越来越多的书籍和专著与该主题相关。在这篇简短的调查文章中，我们提供了一个简要的介绍，提供了一些历史观点和背景，四维VAR之前的资料同化综述和资料同化的基本概念。我首先概述了四维VAR的早期阶段（1980-1990），并以简洁的方式介绍了20世纪90年代期间，在操作中心、研究型大学和联邦实验室，4-D VAR的各个方面都有了重大发展和蓬勃发展。本文简要介绍了四维变分资料同化的计算问题，讨论了减轻计算负担的方法，并对每一个时期作了简要介绍，使读者有一个更好的认识。D VAR今天，然后介绍，我们认为是主要的研究方向和未来的数据同化和一些开放的问题，我们得出结论。我们将努力使用Ide等人（J Meteor Soc Japan 75：181-189，1997）的统一符号。
During the last 20 years data assimilation has gradually reached a mature center stage position at both Numerical Weather Prediction centers as well as being at the center of activities at many federal research institutes as well as at many universities.The research encompasses now activities which involve, beside meteorologists and oceanographers at operational centers or federal research facilities, many in the applied and computational mathematical research communities. Data assimilation or 4-D VAR extends now also to other geosciences fields such as hydrology and geology and results in the publication of an ever increasing number of books and monographs related to the topic.In this short survey article we provide a brief introduction providing some historical perspective and background, a survey of data assimilation prior to 4-D VAR and basic concepts of data assimilation.I first proceed to outline the early 4-D VAR stages (1980–1990) and addresses in a succinct manner the period of the 1990s that saw the major developments and the flourishing of all aspects of 4-D VAR both at operational centers and at research Universities and Federal Laboratories. Computational aspects of 4-D Var data assimilation addressing computational burdens as well as ways to alleviate them are briefly outlined.Brief interludes are provided for each period surveyed allowing the reader to have a better perspective A brief survey of different topics related to state of the art 4-D Var today is then presented and we conclude with what we perceive to be main directions of research and the future of data assimilation and some open problems. We will strive to use the unified notation of Ide et al. (J Meteor Soc Japan 75:181–189, 1997).