Optimal stochastic multi-states first-order Markov chain parameters for synthesizing daily rainfall data using multi-objective differential evolution in Thailand

Meteorological Applications

Volumn 20, Issue 1, 2013, Pages 20-31

  Taewichit, Chakkrapong ^a   Soni, Peeyush ^a   Salokhe, Vilas M ^b   Jayasuriya, Hemantha P W ^c  

^a ASIAN INSTITUTE OF TECHNOLOGY   (Thailand)

^b KAZIRANGA UNIVERSITY   (India)

^c SULTAN QABOOS UNIVERSITY   (Oman)

Author keywords

Daily weather generator; Evolutionary algorithms; Markov chain model; Optimization; Stochastic model

Indexed keywords

EVOLUTIONARY ALGORITHMS; OPTIMIZATION; PARETO PRINCIPLE; RAIN; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

COEFFICIENT OF DETERMINATION; CONFLICTING OBJECTIVES; DAILY RAINFALL AMOUNTS; EXPONENTIAL DISTRIBUTIONS; MARKOV CHAIN MODELS; MULTI-OBJECTIVE DIFFERENTIAL EVOLUTIONS; SHIFTED EXPONENTIAL DISTRIBUTIONS; WEATHER GENERATOR;

MARKOV CHAINS;

DATA SET; MARKOV CHAIN; PARAMETER ESTIMATION; RAINFALL; STOCHASTICITY;

THAILAND;

EID: 84874735907     PISSN: 13504827     EISSN: 14698080     Source Type: Journal    
DOI: 10.1002/met.292     Document Type: Article

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