Journal cover Journal topic
Earth System Dynamics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.351 IF 4.351
  • IF 5-year value: 5.124 IF 5-year
    5.124
  • CiteScore value: 4.44 CiteScore
    4.44
  • SNIP value: 1.250 SNIP 1.250
  • IPP value: 4.10 IPP 4.10
  • SJR value: 2.203 SJR 2.203
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 29 Scimago H
    index 29
  • h5-index value: 31 h5-index 31
Volume 4, issue 1
Earth Syst. Dynam., 4, 79-93, 2013
https://doi.org/10.5194/esd-4-79-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Dynam., 4, 79-93, 2013
https://doi.org/10.5194/esd-4-79-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 26 Feb 2013

Research article | 26 Feb 2013

Detecting hotspots of atmosphere–vegetation interaction via slowing down – Part 2: Application to a global climate model

S. Bathiany1, M. Claussen1,2, and K. Fraedrich1,2 S. Bathiany et al.
  • 1Max Planck Institute for Meteorology, KlimaCampus Hamburg, Germany
  • 2Meteorologisches Institut, Universität Hamburg, KlimaCampus Hamburg, Germany

Abstract. 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.

Publications Copernicus
Download
Citation
Share