Wavelet analysis of the singular spectral reconstructed time series to study the imprints of solar&ndash;ENSO&ndash;geomagnetic activity on Indian climate

Sunkara, Sri Lakshmi; Tiwari, Rama Krishna

doi:https://doi.org/10.5194/npg-23-361-2016

Articles | Volume 23, issue 5

https://doi.org/10.5194/npg-23-361-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/npg-23-361-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 23, issue 5

Research article

|

20 Sep 2016

Research article |

| 20 Sep 2016

Wavelet analysis of the singular spectral reconstructed time series to study the imprints of solar–ENSO–geomagnetic activity on Indian climate

Sri Lakshmi Sunkara and Rama Krishna Tiwari

Data sets

Do the western Himalayas defy global warming? R. R. Yadav, W. K. Park, J. Singh, and B. Dubey https://doi.org/10.1029/2004GL020201

Short summary

This paper presents a new spectral approach to identifying the periodic patterns from the published Indian temperature variability records. The wavelet analysis of the SSA reconstructed time series highlights the removal of noise in the data and identifies the existence of a high-amplitude, recurrent, multidecadal scale patterns in the Indian continent, confirming the possible influences of sunspot-geomagnetic activity-ENSO through teleconnection.