Articles | Volume 11, issue 4
Earth Syst. Dynam., 11, 903–923, 2020
Earth Syst. Dynam., 11, 903–923, 2020

Research article 03 Nov 2020

Research article | 03 Nov 2020

The synergistic impact of ENSO and IOD on Indian summer monsoon rainfall in observations and climate simulations – an information theory perspective

Praveen Kumar Pothapakula et al.

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Cited articles

Akiyo, Y., Kamiguchi, K., Arakawa, O., Hamada, A., Yasutomi, N., and Kitoh, A.: APHRODITE: Constructing a Long-Term Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges, B. Am. Meteorol. Soc., 93, 1401–1415,, 2012. a
Ashok, K., Guan, Z., and Yamagata, T.: Impact of the Indian Ocean Dipole on the relationship between Indian monsoon rainfall and ENSO, Geophys. Res. Lett., 28, 4499–4502,, 2001. a, b
Asharaf, S. and Ahrens, B.: Indian Summer Monsoon Rainfall Feedback Processes in Climate Change Scenarios, J. Climate, 28, 5414–5429,, 2015. a
Barrett, A.: Exploration of synergistic and redundant information sharing in static and dynamical Gaussian systems, Phys. Rev. E, 91, 1539–3755,, 2015. a, b, c, d, e, f, g
Behera, S. K. and Ratnam, J. K.: Quasi-asymmetric response of the Indian summer monsoon rainfall to opposite phases of the IOD, Scient. Rep., 8, 123,, 2018. a, b, c
Short summary
Information exchange (IE) from the Indian Ocean Dipole (IOD) and El Niño–Southern Oscillation (ENSO) to Indian summer monsoon rainfall (ISMR) is investigated. Observational data show that IOD and ENSO synergistically exchange information on ISMR variability over central India. IE patterns observed in three global climate models (GCMs) differ from observations. Our study highlights new perspectives that IE metrics could bring to climate science.
Final-revised paper