Articles | Volume 26, issue 3
https://doi.org/10.5194/npg-26-251-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/npg-26-251-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach
Jürgen Kurths
Potsdam Institute for Climate Impact Research (PIK), Member of the
Leibniz Association, Telegrafenberg, Potsdam, Germany
Institute of Earth and Environmental Science, University of Potsdam,
Potsdam, Germany
Institute of Physics, Humboldt Universität zu Berlin, Germany
Invited contribution by Jürgen Kurths, recipient of the EGU Lewis Fry Richardson Medal 2013.
Ankit Agarwal
CORRESPONDING AUTHOR
Potsdam Institute for Climate Impact Research (PIK), Member of the
Leibniz Association, Telegrafenberg, Potsdam, Germany
Institute of Earth and Environmental Science, University of Potsdam,
Potsdam, Germany
GFZ German Research Centre for Geosciences, Section 5.4: Hydrology,
Telegrafenberg, Potsdam, Germany
Roopam Shukla
Potsdam Institute for Climate Impact Research (PIK), Member of the
Leibniz Association, Telegrafenberg, Potsdam, Germany
Norbert Marwan
Potsdam Institute for Climate Impact Research (PIK), Member of the
Leibniz Association, Telegrafenberg, Potsdam, Germany
Maheswaran Rathinasamy
Dept. of Civil Engineering, MVGR College of Engineering, Vizianagaram,
India
Levke Caesar
Potsdam Institute for Climate Impact Research (PIK), Member of the
Leibniz Association, Telegrafenberg, Potsdam, Germany
Institute of Physics and Astronomy, University of Potsdam, Potsdam,
Germany
Raghavan Krishnan
Indian Institute of Tropical Meteorology, Pune, India
Bruno Merz
Institute of Earth and Environmental Science, University of Potsdam,
Potsdam, Germany
GFZ German Research Centre for Geosciences, Section 5.4: Hydrology,
Telegrafenberg, Potsdam, Germany
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Latest update: 14 Nov 2024
Short summary
We examined the spatial diversity of Indian rainfall teleconnection at different timescales, first by identifying homogeneous communities and later by computing non-linear linkages between the identified communities (spatial regions) and dominant climatic patterns, represented by climatic indices such as El Nino–Southern Oscillation, Indian Ocean Dipole, North Atlantic Oscillation, Pacific Decadal Oscillation and Atlantic Multi-Decadal Oscillation.
We examined the spatial diversity of Indian rainfall teleconnection at different timescales,...