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On the inherent predictability of precipitation across the United States
C. T. Dhanya
,
Gabriele Villarini
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peer-review
2
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Keyphrases
United States
100%
Daily Precipitation
100%
Climate Variables
100%
Precipitation Dynamics
100%
Spatial Distribution
50%
Spatial Resolution
50%
Temporal Resolution
50%
Signal-to-noise Ratio
50%
Rate of Increase
50%
Precipitation Events
50%
Highly Nonlinear
50%
Non-stationarity
50%
Chaotic Nature
50%
Coarse Scale
50%
Sensitivity to Initial Conditions
50%
Finite-time Lyapunov Exponent
50%
Sudden Change
50%
Causal Factors
50%
Temporal Averaging
50%
Spatial Averaging
50%
Expected Improvement
50%
Average Precipitation
50%
Predictive Error
50%
Spatiotemporal Averaging
50%
Non-rainy Day
50%
Mathematics
Finite Time
100%
Initial Condition
100%
Stationarity
100%
Noise Ratio
100%
Temporal Scale
100%
Causal Factor
100%
Lyapunov Exponent
100%
Spatial Distribution
100%
Chaos
100%
Earth and Planetary Sciences
United States of America
100%
Spatial Distribution
33%
Nonstationarity
33%
Chaos
33%
Economics, Econometrics and Finance
United States of America
100%
Immunology and Microbiology
Signal Noise Ratio
100%