Abstract
We implement a data-assimilation method based on a particle filter in the coupled climate model LOVECLIM focusing on decadal to centennial time scales. Several tests are performed with particle filtering using pseudo-observations obtained from a twin experiment with the model, as well as using real-data observations over the last century. These tests demonstrate that it is possible to obtain a model output well correlated with the observations at the large scale at a reasonable cost.
Original language | English |
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Pages (from-to) | 3611-3618 |
Number of pages | 8 |
Journal | International Journal of Bifurcation and Chaos |
Volume | 21 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 2011 |
Externally published | Yes |
Keywords
- data assimilation
- multidecadal scale
- Palaeoclimatology
- particle filtering