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| Titel |
Detecting hotspots of atmosphere–vegetation interaction via slowing down – Part 2: Application to a global climate model |
| VerfasserIn |
S. Bathiany, M. Claussen, K. Fraedrich |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
2190-4979
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| Digitales Dokument |
URL |
| Erschienen |
In: Earth System Dynamics ; 4, no. 1 ; Nr. 4, no. 1 (2013-02-26), S.79-93 |
| Datensatznummer |
250017772
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| Publikation (Nr.) |
 copernicus.org/esd-4-79-2013.pdf |
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| Zusammenfassung |
| Early warning signals (EWS) have become a popular statistical tool to infer
stability properties of the climate system. In Part 1 of this two-part paper
we have presented a diagnostic method to find the hotspot of a sudden
transition as opposed to regions that experience an externally induced
tipping as a mere response. Here, we apply our method to the atmosphere–vegetation model PlanetSimulator
(PlaSim) – VECODE using a regression model. For each of two vegetation collapses in PlaSim-VECODE, we identify a hotspot of
one particular grid cell. We demonstrate with additional experiments that the detected hotspots are
indeed a particularly sensitive region in the model and give a physical
explanation for these results. The method can thus provide information on the causality of sudden
transitions and may help to improve the knowledge on the vulnerability of
certain subsystems in climate models. |
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