Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1142/S0218127411030763 | INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS |
Keywords | Field | DocType |
Palaeoclimatology, multidecadal scale, particle filtering, data assimilation | Meteorology,Small number,Climate model,Climate change,Particle filter,Data assimilation,Geography | Journal |
Volume | Issue | ISSN |
21 | 12 | 0218-1274 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Svetlana Dubinkina | 1 | 10 | 3.46 |
| Hugues Goosse | 2 | 0 | 0.34 |
| Yoann Sallaz-Damaz | 3 | 0 | 0.34 |
| Elisabeth Crespin | 4 | 0 | 0.34 |
| Michel Crucifix | 5 | 0 | 0.34 |