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Data Assimilation
Abstract
Weak_Constraint.pdf At ECMWF atmospheric composition data are assimilated into the IFS as part of the MACC-II project. On a global scale, atmospheric composition represents the full state of the global atmosphere covering phenomena such as desert dust plumes, long-range transport of atmospheric pollutants or ash plumes from volcanic eruptions, but also variations and long-term changes in the background concentrations of greenhouse gases.
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Citations
Cited by
The Twentieth Century Reanalysis Project
Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Matsui, N., Allan, R. J., Yin, X., Gleason, B. E., Vose, R. S., Rutledge, G., Bessemoulin, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.776 · Cited by 3,518
The quiet revolution of numerical weather prediction
Bauer, P., Thorpe, A., & Brunet, G. (2015) · Nature · doi:10.1038/nature14956 · Cited by 2,729
Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter
Hunt, B. R., Kostelich, E. J., & Szunyogh, I. (2007) · Physica D: Nonlinear Phenomena · doi:10.1016/j.physd.2006.11.008 · Cited by 1,742
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
Karpatne, A., Atluri, G., Faghmous, J. H., Steinbach, M., Banerjee, A., Ganguly, A., Shekhar, S., Samatova, N., & Kumar, V. (2017) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2017.2720168 · Cited by 1,752
Particle Filtering in Geophysical Systems
van Leeuwen, P. J. (2009) · Monthly Weather Review · doi:10.1175/2009mwr2835.1 · Cited by 678
Metadata
- Publisher
- Springer Berlin Heidelberg
- Published
- 2007
- OpenAlex
- W1522319528
- Cited by
- 1,851
- References
- 0
- FWCI
- 41.18
- Type
- journal article
- Language
- en
- Open access
- closed
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