1. No category

The dominant imprint of Rossby
waves in the climate network
Y. Wang1, A. Gozolchiani2, Y. Ashkenazy3, Y. Berezin1, O. Guez1, and S. Havlin1
1. Department of Physics, Bar-Ilan University
2. Institute of Earth Sciences, The Hebrew University of Jerusalem
3. Department of Solar Energy and Environmental Physics, BIDR, Ben-Gurion University
Y. Wang, A. Gozolchiani, Y. Ashkenazy, Y. Berezin, O. Guez, S. Havlin, arXiv:1304.0946.
Networks
Internet
Network
Air Traffic Network
Biological
Network
Climate Network
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Climate variables can be viewed as a climate network.
We analyze the daily data from the NCEP/NCAR
reanalysis I grid.
The four geographical zones used for
building the four climate networks.
K. Yamasaki et. al., PRL, 100, 228501
The way to build climate network, where X
is the Pearson correlation coefficient. We
also introduce the time delay.
Negative links(An Example)
Results
The jet stream
interacts with a
Rossby wave
The figure is based on the globe temperature records at 1000 hPa
isobar for Nov. to Feb.
The
dependence
of
average link weight on the
distance, and the PDF of
the time delay in the
Southern hemisphere
Our estimated group
velocities are in the
range
[20−35]m/s,
which consistent with the
range
[23−32]m/s
reported in previous
studies.
Climate Network Structure
Results
The dependence of the
weight of negative links on
the distance d in the SH
during SH summer months
for
temperature
and
meridional velocity for 300
hPa and 1,000 hPa.
Summary and Conclusion
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We analyze the climate network by
considering positive and negative correlations
(links), separately.
It is shown that the properties of the long
distance links in the climate network are the
same of the atmospheric Rossby waves, and
are related to these waves.
The climate networks may be an efficient new
way to detect the Rossby waves.