Extremes of the Indian summer monsoon rainfall, ENSO and equatorial Indian Ocean oscillation

By S. Gadgil, P. Vinayachandran, P. A. Francis, Siddhartha Gadgil. 2004

451 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/bd11d764fff0cad6ccfe16cfe9ea792d98623e0e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Rajib Maity
2. Michael S. Steinbach
3. D. Nagesh Kumar
4. Vipin Kumar
5. Fredrick H. M. Semazzi

In Global and Planetary Change

1. Michael S. Steinbach
2. Auroop Ratan Ganguly
3. Nagiza F. Samatova
4. Rajib Maity
5. D. Nagesh Kumar
6. Vipin Kumar
7. Fredrick H. M. Semazzi
8. Jaya Kawale

In Oceanography

1. Rajib Maity
2. D. Nagesh Kumar
3. Vipin Kumar

Citations in the corpus

• Probabilistic prediction of hydroclimatic variables with nonparametric quantification of uncertainty (2008, methodology): “However, so far as physical mechanism is concerned, this is due to the consideration of EQUINOO along with ENSO [Gadgil et al., 2004; Maity and Nagesh Kumar, 2006b].”
• A graph‐based approach to find teleconnections in climate data (2013, background): “For example, the dipole mode index (DMI) [3], which has been investigated in relation to the Indian monsoon, is a temperature-based dipole. individual dipoles and the climate indices over a limited region, such as Arctic Oscillation (AO) index.”