Abstract
Reanalysis is the assimilation of long time series of observations with an unvarying assimilation system to produce datasets for a variety of applications; for example, climate variability, chemistry-transport, and process studies. Reanalyses were originally proposed for atmospheric observations as a method to generate “climate” datasets from “weather” observations. As the satellite records of chemical, land and oceanic parameters build with time, “reanalyses” are being developed for other types of observations. Coupled reanalyses, for example atmospheric-ocean reanalyses, are possible.
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Acknowledgments
We thank L. Bengtsson, D. Dee, and K. Trenberth for reviewing the chapter and providing many useful comments.
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Rood, R.B., Bosilovich, M.G. (2010). Reanalysis: Data Assimilation for Scientific Investigation of Climate. In: Lahoz, W., Khattatov, B., Menard, R. (eds) Data Assimilation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74703-1_23
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