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Detection and predictive modeling of chaos in finite hydrological time series
S. Khan, A. R. Ganguly,
S. Saigal
Research output
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Contribution to journal
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Article
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peer-review
44
Scopus citations
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Dive into the research topics of 'Detection and predictive modeling of chaos in finite hydrological time series'. Together they form a unique fingerprint.
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Keyphrases
Arkansas
25%
Arkansas River
25%
Chaotic Component
100%
Chaotic Signal
75%
Colorado
25%
Colorado River
25%
Detection Method
25%
European Geosciences Union
25%
Finite Data
25%
Hydrologic Data
25%
Hydrologic System
25%
Hydrological Time Series
100%
Predictive Modeling
100%
Rainfall
25%
Random Component
50%
Seasonal Component
50%
Signal Ratio
25%
Simulated Time Series
25%
Streamflow Data
25%
Time-series Observations
25%
Earth and Planetary Sciences
Arkansas
40%
Colorado
40%
Earth Science
20%
Seasonality
20%
Streamflow
20%
Time Series
100%
Physics
Chaotic Signal
100%
Earth Science
33%