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Improvement to the Evaporation Duct Model by Introducing Nonlinear Similarity Functions in Stable Conditions

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  • Modified refractivity (M) profile is an important parameter to describe the atmospheric refraction environment, as well as a key factor in uniquely evaluating electromagnetic propagation effects. In order to improve the model-derived M profile in stable (especially very stable) conditions, three nonlinear similarity functions, namely BH91, CB05, SHEBA07, are introduced in this paper to improve the original Babin_V25 model, and the performances of these modified models are verified based on the hydrometeorological observations from tower platforms, which are finally compared with the original Babin_V25 model and Local_HYQ92 model. Results show that introducing nonlinear similarity functions can significantly improve the model-derived M profile; especially, the newly developed SHEBA07 functions manage to reduce the predicted root mean square (rms) differences of M and M slope (for both 0–C5 m and 5–C40 m) by 64.5%, 16.6%, and 60.4%, respectively in stable conditions. Unfortunately, this improved method reacts little on the evaporation duct height; in contrast, Local_HYQ92 model is capable of reducing the predicted rms differences of M, M slope (for both 0–C5 m and 5–C40 m), and evaporation duct height by 76.7%, 40.2%, 83.7%, and 58.0% respectively. Finally, a new recommendation is made to apply Local_HYQ92 and Babin_SHEBA07 in very stable conditions considering that M slope is more important than evaporation duct height and absolute M value in uniquely determining electromagnetic propagation effects.
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DING Ju-li, FEI Jian-fang, HUANG Xiao-gang, et al. Improvement to the Evaporation Duct Model by Introducing Nonlinear Similarity Functions in Stable Conditions [J]. Journal of Tropical Meteorology, 2011, 17(1): 64-72.
DING Ju-li, FEI Jian-fang, HUANG Xiao-gang, et al. Improvement to the Evaporation Duct Model by Introducing Nonlinear Similarity Functions in Stable Conditions [J]. Journal of Tropical Meteorology, 2011, 17(1): 64-72.
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Improvement to the Evaporation Duct Model by Introducing Nonlinear Similarity Functions in Stable Conditions

Abstract: Modified refractivity (M) profile is an important parameter to describe the atmospheric refraction environment, as well as a key factor in uniquely evaluating electromagnetic propagation effects. In order to improve the model-derived M profile in stable (especially very stable) conditions, three nonlinear similarity functions, namely BH91, CB05, SHEBA07, are introduced in this paper to improve the original Babin_V25 model, and the performances of these modified models are verified based on the hydrometeorological observations from tower platforms, which are finally compared with the original Babin_V25 model and Local_HYQ92 model. Results show that introducing nonlinear similarity functions can significantly improve the model-derived M profile; especially, the newly developed SHEBA07 functions manage to reduce the predicted root mean square (rms) differences of M and M slope (for both 0–C5 m and 5–C40 m) by 64.5%, 16.6%, and 60.4%, respectively in stable conditions. Unfortunately, this improved method reacts little on the evaporation duct height; in contrast, Local_HYQ92 model is capable of reducing the predicted rms differences of M, M slope (for both 0–C5 m and 5–C40 m), and evaporation duct height by 76.7%, 40.2%, 83.7%, and 58.0% respectively. Finally, a new recommendation is made to apply Local_HYQ92 and Babin_SHEBA07 in very stable conditions considering that M slope is more important than evaporation duct height and absolute M value in uniquely determining electromagnetic propagation effects.

DING Ju-li, FEI Jian-fang, HUANG Xiao-gang, et al. Improvement to the Evaporation Duct Model by Introducing Nonlinear Similarity Functions in Stable Conditions [J]. Journal of Tropical Meteorology, 2011, 17(1): 64-72.
Citation: DING Ju-li, FEI Jian-fang, HUANG Xiao-gang, et al. Improvement to the Evaporation Duct Model by Introducing Nonlinear Similarity Functions in Stable Conditions [J]. Journal of Tropical Meteorology, 2011, 17(1): 64-72.
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