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contributor authorZhijin Qiu
contributor authorTong Hu
contributor authorBo Wang
contributor authorJing Zou
contributor authorZhiqian Li
date accessioned2023-04-12T18:47:46Z
date available2023-04-12T18:47:46Z
date copyright2022/07/01
date issued2022
identifier otherJTECH-D-21-0133.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290265
description abstractThe evaporation duct is an abnormal refractive phenomenon with wide distribution and frequency occurrence at the boundary between the atmosphere and the ocean, which directly affects electromagnetic wave propagation. In recent years, the use of meteorological and hydrological data to predict the evaporation duct height has become an emerging and promising approach. There are some evaporation duct models that have been proposed based on the Monin–Obukhov similarity theory. However, each model adopts different stability functions and roughness length parameterization methods, so the prediction accuracies are different under different environmental conditions. To improve the prediction accuracy of the evaporation duct under different environmental conditions, a model selection optimization method (MSOM) of the evaporation duct model is proposed based on sensitivity analysis. According to the sensitivity of each model to input parameters analyzed by the sensor observation accuracy, curve graph, and Sobol sensitivity, the model input parameters are divided into several intervals. Then the optimization model is selected in different intervals. The model was established using numerical simulation data from local areas in the South China Sea, and its accuracy was verified by the observational data from the offshore observation platform located in the South China Sea. The results show that the MSOM can effectively improve the prediction accuracy of the evaporation duct height. Under unstable conditions, the maximum relative error is reduced by 7.1%, and under stable conditions, the relative error is reduced by 10.7%.
publisherAmerican Meteorological Society
titleSelection Optimal Method of Evaporation Duct Model Based on Sensitivity Analysis
typeJournal Paper
journal volume39
journal issue7
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-21-0133.1
journal fristpage941
journal lastpage957
page941–957
treeJournal of Atmospheric and Oceanic Technology:;2022:;volume( 039 ):;issue: 007
contenttypeFulltext


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