activity
20042015
most citedImproved El Niño-Forecasting by Cooperativity Detection

185 citations · 536 across the 9 of their papers we have counts for

collaborators

9 papers

physics.ao-ph2015★ 24 cited

Oceanic El-Niño wave dynamics and climate networks

Yang Wang, Avi Gozolchiani, Yosef Ashkenazy +1

Oceanic Kelvin and Rossby waves play an important role in tropical climate and \en dynamics. Here we develop and apply a climate network approach to quantify the characteristics of…

physics.ao-ph2014★ 60 cited

Influence of autocorrelation on the topology of the climate network

Oded C. Guez, Avi Gozolchiani, Shlomo Havlin

Different definitions of links in climate networks may lead to considerably different network topologies. We construct a network from climate records of surface level atmospheric t…

physics.ao-ph2013★ 21 cited

Global Climate network evolves with North Atlantic Oscillation phases: Coupling to Southern Pacific Ocean

Oded Guez, Avi Gozolchiani, Yehiel Berezin +2

We construct a network from climate records of atmospheric temperature at surface level, at different geographical sites in the globe, using reanalysis data from years 1948-2010. W…

physics.ao-ph2013★ 185 cited

Improved El Niño-Forecasting by Cooperativity Detection

Josef Ludescher, Avi Gozolchiani, Mikhail I. Bogachev +3

Although anomalous episodical warming of the eastern equatorial Pacific, dubbed El Niño by Peruvian fishermen, has major (and occasionally devastating) impacts around the globe, ro…

physics.ao-ph2013★ 93 cited

The dominant imprint of Rossby waves in the climate network

Yang Wang, Avi Gozolchiani, Yosef Ashkenazy +3

The connectivity pattern of networks, which are based on a correlation between ground level temperature time series, shows a dominant dense stripe of links in the southern ocean. W…

physics.ao-ph2011

Stability of Climate Networks with Time

Yehiel Berezin, Avi Gozolchiani, Shlomo Havlin

We construct and analyze climate networks based on daily satellite measurements of temperatures and geopotential heights. We show that these networks are stable during time and are…