Abstract
In this paper, we focus on the prediction of atmospheric refractive index structure parameter () in coastal area using the routine meteorological parameters. Based on the micrometeorology, macrometeorology and Monin–Obukhov similarity theory, three modified prediction models of
are presented in combination with the long-term observation data of
and meteorological parameters in coastal city, respectively. For different weather, the applicable cases of three
prediction models are comparatively analysed and their applicable effects are comprehensively evaluated. The results indicate that the modified micrometeorology model of
shows better applicability for overcast sky, the offshore macrometeorology model of
displays better predictability for sunny day and the offshore Thiermann model provides better availability for overcast sky, cloudy day, overcast to sunny or sunny to overcast day.
Acknowledgements
This work was supported by the Innovation Fund of Naval Aeronautical and Astronautical University and by the Special Foundation Project of Taishan Scholar of Shandong Province, China.
Notes
No potential conflict of interest was reported by the authors.