Wave data assimilation using a hybrid approach in the Persian Gulf

Ocean Dynamics

Volumn 62, Issue 5, 2012, Pages 785-797

  Moeini, Mohammad Hadi ^a   Etemad Shahidi, Amir ^a,b   Chegini, Vahid ^c   Rahmani, Iraj ^d  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b GRIFFITH UNIVERSITY   (Australia)

^c Iranian National Institute for Oceanography   (Iran)

^d Transportation Research Institute Tehran   (Iran)

Author keywords

Error prediction; Neural network; Persian Gulf; SWAN; Wave hindcasting

Indexed keywords

ERROR PREDICTION; ESTIMATED ERROR; HINDCASTING; HYBRID APPROACH; IN-SITU; INPUT PARAMETER; MEAN WIND SPEED; MEAN-WINDS; MODEL ERRORS; MODEL PARAMETERS; OUTPUT VARIABLES; PERSIAN GULF; SWAN; SWAN MODEL; THIRD GENERATION; WAVE CHARACTERISTICS; WAVE DATA; WAVE HEIGHTS; WAVE MEASUREMENT; WAVE MODELING; WAVE PARAMETERS; WIND DATA;

FORECASTING; NEURAL NETWORKS; WATER WAVES;

DATA PROCESSING;

ARTIFICIAL NEURAL NETWORK; DATA ASSIMILATION; ERROR ANALYSIS; HINDCASTING; NUMERICAL MODEL; WAVE HEIGHT; WIND DIRECTION; WIND VELOCITY; WIND WAVE;

ARABIAN SEA; INDIAN OCEAN; PERSIAN GULF;

EID: 84861096829     PISSN: 16167341     EISSN: 16167228     Source Type: Journal    
DOI: 10.1007/s10236-012-0529-5     Document Type: Article

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