Can a simple stochastic model generate rich patterns of rainfall events?

Journal of Hydrology

Volumn 411, Issue 3-4, 2011, Pages 279-289

  Papalexiou, Simon Michael ^a   Koutsoyiannis, Demetris ^a   Montanari, Alberto ^b  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Long term persistence; Power type tails; Rainfall modelling

Indexed keywords

AUTOCORRELATION FUNCTIONS; DATA SETS; DIFFERENT TIME SCALE; LONG-TERM PERSISTENCE; POWER-TYPE TAILS; PREDICTIVE CAPACITY; RAINFALL EVENT; RAINFALL MODELLING; RAINFALL MODELS; RAINFALL PATTERNS; SCALING BEHAVIOR; SIMPLE STOCHASTIC; STOCHASTIC ANALYSIS; STORM EVENTS; TEMPORAL RESOLUTION; TIME-SCALES; UNCERTAIN PARAMETERS; UNIVERSITY OF IOWA;

AUTOCORRELATION; OPTICAL SYSTEMS; RAIN; REGRESSION ANALYSIS; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

STOCHASTIC MODELS;

AUTOCORRELATION; CLIMATE CLASSIFICATION; DATA SET; HYDROLOGICAL MODELING; NUMERICAL MODEL; PARAMETERIZATION; PARSIMONY ANALYSIS; PERSISTENCE; PRECIPITATION INTENSITY; PREDICTION; STOCHASTICITY; TEMPORAL ANALYSIS; TREND ANALYSIS; UNCERTAINTY ANALYSIS;

EID: 81555219349     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2011.10.008     Document Type: Article

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