Removal of the El Niño-Southern Oscillation signal from the gridded surface air temperature data set

Kelly, PM and Jones, PD (1996) Removal of the El Niño-Southern Oscillation signal from the gridded surface air temperature data set. Journal of Geophysical Research, 101 (D14). pp. 19013-19022. ISSN 0148-0227

Full text not available from this repository. (Request a copy)

Abstract

We attempt the removal of the large-scale signal associated with one important component of climate variability, the El Niño-Southern Oscillation (ENSO) phenomenon, from the global surface air temperature data set in order to facilitate analysis of other potential causes of climate change. Previous attempts to remove the ENSO signal from climate records at the global scale have been based on relatively simple regression analysis. We use empirical orthogonal function analysis to identify characteristic spatial patterns of change in the global surface air temperature field and thus define the ENSO signal. The approach successfully identifies two ENSO-related components of the variability in the global data set, and the removal process results in a significant reduction in variance. Evaluation of the process indicates that attention should be paid to seasonality in the ENSO signal. Moreover, it is clear that other aspects of the statistical generalization inherent in the approach have resulted in a residual ENSO signal in the data set. The remaining signal does, however, appear to be regional in nature and/or only marked in the case of particular ENSO events. We conclude that an approach based on empirical orthogonal function analysis presents an effective means of isolating and removing specific climate signals.

Item Type: Article
Faculty \ School: Faculty of Science > School of Environmental Sciences
Related URLs:
Depositing User: Rosie Cullington
Date Deposited: 20 Jul 2011 09:09
Last Modified: 21 Apr 2020 21:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/33940
DOI: 10.1029/96JD01173

Actions (login required)

View Item View Item