TY - JOUR
T1 - Nonlinear statistics reveals stronger tie between ENSO and the tropical hydrological cycle
AU - Khan, Shiraj
AU - Ganguly, Auroop R.
AU - Bandyopadhyay, Sharba
AU - Saigal, Sunil
AU - Erickson, David J.
AU - Protopopescu, Vladimir
AU - Ostrouchov, George
PY - 2006/12/28
Y1 - 2006/12/28
N2 - Cross-spectrum analysis based on linear correlations in the time domain suggested a coupling between large river flows and the El Niño-Southern Oscillation (ENSO) cycle. A nonlinear measure based on mutual information (MI) reveals extrabasinal connections between ENSO and river flows in the tropics and subtropics, that are 20-70% higher than those suggested so far by linear correlations. The enhanced dependence observed for the Nile, Amazon, Congo, Paraná, and Ganges rivers, which affect large, densely populated regions of the world, has significant impacts on inter-annual river flow predictabilities and, hence, on water resources and agricultural planning.
AB - Cross-spectrum analysis based on linear correlations in the time domain suggested a coupling between large river flows and the El Niño-Southern Oscillation (ENSO) cycle. A nonlinear measure based on mutual information (MI) reveals extrabasinal connections between ENSO and river flows in the tropics and subtropics, that are 20-70% higher than those suggested so far by linear correlations. The enhanced dependence observed for the Nile, Amazon, Congo, Paraná, and Ganges rivers, which affect large, densely populated regions of the world, has significant impacts on inter-annual river flow predictabilities and, hence, on water resources and agricultural planning.
UR - http://www.scopus.com/inward/record.url?scp=34548027007&partnerID=8YFLogxK
U2 - 10.1029/2006GL027941
DO - 10.1029/2006GL027941
M3 - Article
AN - SCOPUS:34548027007
SN - 0094-8276
VL - 33
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 24
M1 - L24402
ER -
