The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
On the representation error in data assimilation
Open accessAbstract
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.
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Cites
Good, S. A., Martin, M. J., & Rayner, N. A. (2013) · Journal of Geophysical Research: Oceans · doi:10.1002/2013jc009067 · Cited by 1,861
A Reanalysis of Ocean Climate Using Simple Ocean Data Assimilation (SODA)
Carton, J. A., & Giese, B. S. (2008) · Monthly Weather Review · doi:10.1175/2007mwr1978.1 · Cited by 1,818
Self-citationAnalysis methods for numerical weather prediction
Lorenc, A. C. (1986) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49711247414 · Cited by 1,510
Diagnosis of observation, background and analysis‐error statistics in observation space
Desroziers, G., Berre, L., Chapnik, B., & Poli, P. (2005) · Quarterly Journal of the Royal Meteorological Society · doi:10.1256/qj.05.108 · Cited by 971
Interpretation of Rank Histograms for Verifying Ensemble Forecasts
Hamill, T. M. (2001) · Monthly Weather Review · doi:10.1175/1520-0493(2001)129<0550:iorhfv>2.0.co;2 · Cited by 892
Ide, K., Courtier, P., Ghil, M., & Lorenc, A. C. (1997) · Journal of the Meteorological Society of Japan. Ser. II · doi:10.2151/jmsj1965.75.1b_181 · Cited by 821
The ECMWF implementation of three‐dimensional variational assimilation (3D‐Var). I: Formulation
Courtier, P., Andersson, E., Heckley, W., Vasiljevic, D., Hamrud, M., Hollingsworth, A., Rabier, F., Fisher, M., & Pailleux, J. (1998) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49712455002 · Cited by 668
Dee, D. P. (2005) · Quarterly Journal of the Royal Meteorological Society · doi:10.1256/qj.05.137 · Cited by 626
A Global Three-Dimensional Multivariate Statistical Interpolation Scheme
Lorenc, A. C. (1981) · Monthly Weather Review · doi:10.1175/1520-0493(1981)109<0701:agtdms>2.0.co;2 · Cited by 562
Hollingsworth, A., & Lönnberg, P. (1986) · Tellus A Dynamic Meteorology and Oceanography · doi:10.1111/j.1600-0870.1986.tb00460.x · Cited by 561
Cited by
SODA3: A New Ocean Climate Reanalysis
Carton, J. A., Chepurin, G. A., & Chen, L. (2018) · Journal of Climate · doi:10.1175/jcli-d-18-0149.1 · Cited by 624
Self-citationCheng, S., Quilodrán-Casas, C., Ouala, S., Farchi, A., Liu, C., Tandeo, P., Fablet, R., Lucor, D., Iooss, B., Brajard, J., et al. (2023) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2023.123537 · Cited by 303
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Metadata
- Authors
- 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.
- Venue
- Quarterly Journal of the Royal Meteorological Society
- Publisher
- Wiley
- Published
- 2017-10-11
- Volume
- 144
- Issue
- 713
- Pages
- 1257-1278
- ISSN
- 0035-9009 (ISSN-L)
- 1477-870X
- OpenAlex
- W2740686118
- Cited by
- 420
- References
- 54
- FWCI
- 15.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- 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. (2018). On the representation error in data assimilation. Quarterly Journal of the Royal Meteorological Society. https://doi.org/10.1002/qj.3130
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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