Articles | Volume 12, issue 1
https://doi.org/10.5194/cp-12-31-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/cp-12-31-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Jan 2016
Research article |
| 15 Jan 2016
Inferring climate variability from nonlinear proxies: application to palaeo-ENSO studies
Department of Earth Sciences & Center for Applied Mathematical Sciences, University of Southern California, Los Angeles, CA, USA
M. Tingley
Departments of Statistics & Meteorology, Pennsylvania State University, State College, PA, USA
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Latest update: 13 Dec 2024
Short summary
Ignoring nonlinearity in palaeoclimate records (e.g. continental run-off proxies) runs the risk of severely overstating changes in climate variability. Even with the correct model and parameters, some information is irretrievably lost by such proxies. However, we find that a simple empirical transform can do much to improve the situation, and makes them amenable to classical analyses. Doing so on two palaeo-ENSO records markedly changes some of the quantitative inferences made from such records.
Ignoring nonlinearity in palaeoclimate records (e.g. continental run-off proxies) runs the risk...
