Evaluation of efficiency of different estimation methods for missing climatological data

Stochastic Environmental Research and Risk Assessment

Volumn 26, Issue 1, 2012, Pages 59-71

  Hasanpour Kashani, Mahsa ^a   Dinpashoh, Yagob ^a  

^a UNIVERSITY OF TABRIZ   (Iran)

Author keywords

Artificial intelligence and classical techniques; Climatological data; Iran; Missing data

Indexed keywords

ARID AND SEMI-ARID REGIONS; ARTIFICIAL INTELLIGENCE TECHNIQUES; ARTIFICIAL NEURAL NETWORK; CLASSICAL METHODS; CLASSICAL TECHNIQUES; CLIMATE CONDITION; CLIMATOLOGICAL DATA; ENVIRONMENT PROTECTION; ESTIMATION METHODS; IRAN; MAXIMUM TEMPERATURE; MEAN ABSOLUTE ERROR; MEAN AIR TEMPERATURES; MISSING DATA; MISSING VALUES; MULTIPLE REGRESSION ANALYSIS; OBSERVED DATA; OPTIMUM ESTIMATIONS; PARAMETRIC APPROACH; PRECIPITATION DATA; PRECISE METHOD; SKILL SCORE; WIND SPEED;

ARID REGIONS; CLIMATE MODELS; GENETIC PROGRAMMING; NEURAL NETWORKS; REGRESSION ANALYSIS; STRUCTURAL OPTIMIZATION;

ESTIMATION;

ARID REGION; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CLIMATE CONDITIONS; CLIMATOLOGY; ESTIMATION METHOD; MULTIPLE REGRESSION; NUMERICAL MODEL; PARAMETERIZATION; PRECIPITATION ASSESSMENT; RELATIVE HUMIDITY; TEMPERATURE PROFILE; VISUAL ANALYSIS; WIND VELOCITY;

IRAN;

EID: 82755161222     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-011-0536-y     Document Type: Article

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