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영동 대설 사례를 대상으로 한 WRF Simulation의 Nudging 방법에 따른 민감도 연구

A Sensitivity Study of WRF Model Simulations to Nudging Methods for A Yeongdong Heavy Snowfall Event

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참고문헌

키워드

주제분류대기과학

초록

To investigate the influences of the observational nudging and the analysis nudgingon the WRF simulation for the heavy snowfall event in Yeongdong area on 26 February2012, the sensitivity experiments in relation to nudging effects were conducted. We initially setthe magnitude of nudging coefficient of 6.0 × 10−4 s−1 to apply to the analysis nudging experimentsand observational experiments. To select the optimized options for the observationalnudging, the radius influence experiment was carried out with radii ranging from 10 to 25 kmat 5 km intervals. Among the observational nudging experiments, the experiment, which wasconducted with the option of the radius influence of 15 km and that of the nudging coefficientof 6.0 × 10−4 s−1 (ONG exp.), showed a best result. As giving the nudging effect only directlyon D1 and D2 brought about a better result for the analysis nudging, we set the analysis nudgingexperiment as above (ANG exp.). We compared and analyzed the results from the controlexperiment, ONG experiment, and ANG experiment to reveal nudging effects. It was foundthat the control experiment brought about a result that it overestimated its precipitation in comparisonwith the observation and failed to properly simulate the time zone of rainfall concentration. When either of the two nudging (observational and analysis nudging) was applied to thedata assimilation, it brought about a better result than the control experiment. Especially theobservational nudging led to a meaningful result for the wind field, while the analysis nudginghad the best result for the precipitation distribution among the experiments.

Abstract

To investigate the influences of the observational nudging and the analysis nudgingon the WRF simulation for the heavy snowfall event in Yeongdong area on 26 February2012, the sensitivity experiments in relation to nudging effects were conducted. We initially setthe magnitude of nudging coefficient of 6.0 × 10−4 s−1 to apply to the analysis nudging experimentsand observational experiments. To select the optimized options for the observationalnudging, the radius influence experiment was carried out with radii ranging from 10 to 25 kmat 5 km intervals. Among the observational nudging experiments, the experiment, which wasconducted with the option of the radius influence of 15 km and that of the nudging coefficientof 6.0 × 10−4 s−1 (ONG exp.), showed a best result. As giving the nudging effect only directlyon D1 and D2 brought about a better result for the analysis nudging, we set the analysis nudgingexperiment as above (ANG exp.). We compared and analyzed the results from the controlexperiment, ONG experiment, and ANG experiment to reveal nudging effects. It was foundthat the control experiment brought about a result that it overestimated its precipitation in comparisonwith the observation and failed to properly simulate the time zone of rainfall concentration. When either of the two nudging (observational and analysis nudging) was applied to thedata assimilation, it brought about a better result than the control experiment. Especially theobservational nudging led to a meaningful result for the wind field, while the analysis nudginghad the best result for the precipitation distribution among the experiments.

참고문헌 (24)

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