기상드론 바람관측자료의 정확도 확보를 통한 대기하층 시공간관측공백 해소 연구
A Study on Filling the Spatio-temporal Observation Gaps in the Lower Atmosphere by Guaranteeing the Accuracy of Wind Observation Data from a Meteorological Drone
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초록
The mobile observation method, in which a meteorological drone observes whileascending, can observe the vertical profile of wind at 1 m-interval. In addition, since continuousflights are possible at time intervals of less than 30 minutes, high-resolution observation data canbe obtained both spatially and temporally. In this study, we verify the accuracy of mobile observationdata from meteorological drone (drone) and fill the spatio-temporal observation gaps inthe lower atmosphere. To verify the accuracy of mobile observation data observed by drone, itwas compared with rawinsonde observation data. The correlation coefficients between twoequipment for a wind speed and direction were 0.89 and 0.91, and the root mean square errorswere 0.7 m s1 and 20.93o. Therefore, it was judged that the drone was suitable for observingvertical profile of the wind using mobile observation method. In addition, we attempted toresolve the observation gaps in the lower atmosphere. First, the vertical observation gaps of thewind profiler between the ground and the 150 m altitude could be resolved by wind observationdata using the drone. Secondly, the temporal observation gaps between 3-hour interval in therawinsonde was resolved through a drone observation case conducted in Taean-gun, Chungcheongnam-do on October 13, 2022. In this case, the drone mobile observation data every 30-minute intervals could observe the low-level jet more detail than the rawinsonde observationdata. These results show that the mobile observation data of the drone can be used to fill the spatio-temporal observation gaps in the lower atmosphere.
Abstract
The mobile observation method, in which a meteorological drone observes whileascending, can observe the vertical profile of wind at 1 m-interval. In addition, since continuousflights are possible at time intervals of less than 30 minutes, high-resolution observation data canbe obtained both spatially and temporally. In this study, we verify the accuracy of mobile observationdata from meteorological drone (drone) and fill the spatio-temporal observation gaps inthe lower atmosphere. To verify the accuracy of mobile observation data observed by drone, itwas compared with rawinsonde observation data. The correlation coefficients between twoequipment for a wind speed and direction were 0.89 and 0.91, and the root mean square errorswere 0.7 m s1 and 20.93o. Therefore, it was judged that the drone was suitable for observingvertical profile of the wind using mobile observation method. In addition, we attempted toresolve the observation gaps in the lower atmosphere. First, the vertical observation gaps of thewind profiler between the ground and the 150 m altitude could be resolved by wind observationdata using the drone. Secondly, the temporal observation gaps between 3-hour interval in therawinsonde was resolved through a drone observation case conducted in Taean-gun, Chungcheongnam-do on October 13, 2022. In this case, the drone mobile observation data every 30-minute intervals could observe the low-level jet more detail than the rawinsonde observationdata. These results show that the mobile observation data of the drone can be used to fill the spatio-temporal observation gaps in the lower atmosphere.
참고문헌 (29)
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