Climate variability; Climate reconstruction; Southern Hemisphere; Climate change
Goosse H., Braida M., Crosta X., Mairesse A., Masson-Delmotte V., Mathiot P., Neukom R., Oerter H., Philippon G., Renssen H., Stenni B., van Ommen T., Verleyen E. (2012), Antarctic temperature changes during the last millennium: evaluation of simulations and reconstructions, in Journal of Climate
, 55, 75-90.
Mundo Ignacio, Masiokas Mariano, Villalba Ricardo, Morales Mariano, Neukom Raphael, LeQuesne Carlos, Urrutia Rocio, Lara Antonio (2012), Multi-century tree-ring based reconstruction of the Neuquén River streamflow, northern Patagonia, Argentina, in Climate of the Past
, 8, 815-829.
Neukom Raphael, Gergis Joelle (2011), Southern Hemisphere high-resolution palaeoclimate records of the last 2000 years, in The Holocene
Luterbacher Jürg, Neukom Raphael, González-Rouco Fidel, Fernandez-Donado Laura, Raible Christoph, Zorita Eduardo (2011), Reconstructed and simulated Medieval Climate Anomaly in southern South America, in PAGES News
, 19(1), 20-21.
Villalba Ricardo, Lara Antonio, Masiokas Mariano, Urrutia Rocio, Cook Ed, Christie Duncan, Mundo Ignacio, Boninsegna Jose, Fenwick Pavla, Neukom Raphael, Allen Kathy, Morales Mariano, Araneo Diego, Mashall Gareth, Srur Ana, Aravena Juan-Carlos, Palmer Jonathan, Unrecorded patterns of tree growth across mid-latitudes in the Southern Hemisphere induced by changes in high-latitude atmospheric circulation, in Nature Geoscience
Currently, large scale climate variability in the southern hemisphere (SH) can only be quantified for the short instrumental period starting around AD 1900. To understand the processes driving SH climate variations and to improve predictions of future SH climate, it is essential to analyze spatio-temporally highly resolved paleoclimate data.This project aims at addressing this issue by statistically reconstructing the atmospheric circulation, expressed as sea level pressure (SLP) variability over Australasia, the South Pacific and South America for the past 400-1000 years using natural and documentary proxy data, as well as early instrumental measurements and data from ship log books. The multi-proxy reconstructions, together with associated uncertainties, will then be compared to simulations of global circulation models over the last millennium. The reconstructed SLP pattern will include the quantification of past variations in the El Niño-Southern Oscillation (ENSO), the globally most relevant pattern of climate variability with large impacts on economy and ecology in many regions of the world.The outcome of the project will represent the first large scale circulation reconstructions and spatially explicit paleomodel-reconstruction comparisons of the SH, adding very valuable data to the forthcoming Intergovernmental Panel on Climate Change’s (IPCC’s) fifth assessment report.