Greg Kociuba
Bureau of Meteorology
7 Papers
Greg Kociuba is an academic researcher from Bureau of Meteorology. The author has contributed to research in topics: Global warming & Walker circulation. The author has an hindex of 5, co-authored 5 publications.
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Papers
Robust twenty-first-century projections of El Niño and related precipitation variability
TL;DR: Experiments with an Atmospheric General Circulation Model reveal that robust projected changes in precipitation anomalies during El’Niño years are primarily determined by a nonlinear response to surface global warming.
420
Inability of CMIP5 Models to Simulate Recent Strengthening of the Walker Circulation: Implications for Projections
Greg Kociuba,Scott B. Power +1 more
TL;DR: This article examined changes in the strength of the Walker circulation (WC) using the pressure difference between the western and eastern equatorial Pacific using the Coupled model Intercomparison Project (CMIP) phase 5, and found no consensus on the sign of change, and none of the models showed a statistically significant strengthening over the same period.
158
The impact of global warming on the Southern Oscillation Index
Scott B. Power,Greg Kociuba +1 more
TL;DR: The authors examined changes in the Southern Oscillation Index (SOI) and air pressure across the Pacific in the observations and in numerous WCRP/CMIP3 climate model integrations for both the 20th and 21st centuries.
What Caused the Observed Twentieth-Century Weakening of the Walker Circulation?
Scott B. Power,Greg Kociuba +1 more
TL;DR: The authors examined changes in the strength of the Walker circulation using an index called BoxΔP, which is equal to the difference in mean sea level pressure across the equatorial Pacific.
88
Apparent limitations in the ability of CMIP5 climate models to simulate recent multi-decadal change in surface temperature: implications for global temperature projections
TL;DR: In this article, the authors re-examine the statistical significance of these relatively short-trends, whether they indicate a possible bias in the model values and the implications for global warming generally.