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On the representation error in data assimilation
Author(s) -
Janjić T.,
Bormann N.,
Bocquet M.,
Carton J. A,
Cohn S. E.,
Dance S. L.,
Losa S. N.,
Nichols N. K.,
Potthast R.,
Waller J. A.,
Weston P.
Publication year - 2017
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1002/qj.3130
Subject(s) - data assimilation , terminology , representativeness heuristic , computer science , representation (politics) , meteorology , mathematics , linguistics , statistics , geography , political science , philosophy , politics , law
Representation, representativity, representativeness error, forward interpolation error, forward model error, observation‐operator error, aggregation error and sampling error are all terms used to refer to components of observation error in the context of data assimilation. This article is an attempt to consolidate the terminology that has been used in the earth sciences literature and was suggested at a European Space Agency workshop held in Reading in April 2014. We review the state of the art and, through examples, motivate the terminology. In addition to a theoretical framework, examples from application areas of satellite data assimilation, ocean reanalysis and atmospheric chemistry data assimilation are provided. Diagnosing representation‐error statistics as well as their use in state‐of‐the‐art data assimilation systems is discussed within a consistent framework.