Conditional simulation of remotely sensed rainfall data using a non-Gaussian v-transformed copula

Advances in Water Resources

Volumn 33, Issue 6, 2010, Pages 624-634

  AghaKouchak, Amir ^a   Bárdossy, András ^b   Habib, Emad ^a  

^a University of Louisiana at Lafayette   (United States)

^b UNIVERSITY OF STUTTGART   (Germany)

Author keywords

Copula; Ensemble generation; Multivariate simulation; Remotely sensed rainfall data; V transformed copula

Indexed keywords

CONDITIONAL SIMULATIONS; ERROR ESTIMATES; ERROR FIELD; HYDROLOGIC PROCESS; MARGINAL DISTRIBUTION; METEOROLOGICAL MODELING; NON-GAUSSIAN; OKLAHOMA; RAIN GAUGE DATA; RAIN GAUGES; RAINFALL DATA; RAINFALL ESTIMATES; RAINFALL FIELDS; SPATIAL AND TEMPORAL VARIABILITY; SPATIAL RESOLUTION; SPATIOTEMPORAL CHARACTERISTICS; STOCHASTIC PROPERTIES;

COMPUTER SIMULATION; GAGES; METEOROLOGICAL INSTRUMENTS; RAIN GAGES; REMOTE SENSING; STOCHASTIC MODELS; UNCERTAINTY ANALYSIS;

RAIN;

COMPUTER SIMULATION; ENSEMBLE FORECASTING; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; PRECIPITATION ASSESSMENT; RAINFALL; RAINGAUGE; REMOTE SENSING; SPATIAL RESOLUTION; SPATIOTEMPORAL ANALYSIS; STOCHASTICITY; WATERSHED;

LITTLE WASHITA RIVER; OKLAHOMA [UNITED STATES]; UNITED STATES;

EID: 77953127937     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2010.02.010     Document Type: Article

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