 |
| Titel |
Improved decadal predictability due to memory in vegetation? A study with the EC-Earth model |
| VerfasserIn |
Martina Weiß, Paul Miller, Simona Stefanescu, Bert Wouters, Bart van den Hurk, Reindert Haarsma, WIlco Hazeleger |
| Konferenz |
EGU General Assembly 2013
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 15 (2013) |
| Datensatznummer |
250082382
|
|
|
|
|
|
| Zusammenfassung |
| In this analysis we revisit the EC-Earth-based study on decadal predictability of ocean and atmosphere conditions, where a set of decadal hindcast experiments for the period 1960-2005 was carried out.
Especially the subpolar North-Atlantic region due to its low-frequency variations in the model showed model skill in predicting observed variations in sea surface temperature up to 6 to 9 years ahead, and good skill in both hindcasting observed trends, as well as capturing inter-annual variability in the region. Predictability over land, however, was marginal.
Here, this set of experiments is repeated with a new version of the EC-Earth model, which is now supplemented by a dynamic vegetation model in order to identify impacts of land surface, i.e. vegetation initialization, as well as impacts of vegetation memory as possible predictability sources. |
|
|
|
|
|
|