RISS 학술연구정보서비스

검색

인기 검색어

    다국어 입력

    http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

    변환된 중국어를 복사하여 사용하시면 됩니다.

    예시)
    • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
    • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
    닫기
    KCI등재

    항공 구름관측 레이더를 활용한 인공강우 실험효과 분석 = Analysis of the Cloud Seeding Effect Using an Airborne Cloud-Observation Radar

    한글로보기

    https://www.riss.kr/link?id=A110141402

    • 0

      상세조회
    • 0

      다운로드
    서지정보 열기
    • 내보내기
    • 내책장담기
    • 공유하기
    • 오류접수

    부가정보

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The verification of the cloud seeding effect is a popular research topic worldwide. To directly observe changes in seeded clouds, an airborne cloud-observation radar was installed on a weather aircraft. This study analyzed the observational characteristics of airborne cloud radar based on cloud seeding experiments conducted in South Korea. Two cloud observation methods were considered: the conventional single-direction observation and a multi-directional approach that considers for wind direction change during the experiment. To compare the observation performance of the airborne radar, ground-based weather radar data before and after the experiments and changes in the radar cloud characteristics during the numerical simulation were analyzed. The radar reflectivity increased by approximately 10 dBZ in the seeded clouds compared with their state before the experiment. This is a meaningful finding, as it is consistent with similar studies abroad, where seeded clouds intensified into a typical plume shape, as confirmed by the airborne radar. The multi-directional cloud observation method, which considers wind variations, was effective in tracking seeded clouds and observing their characteristic changes. These findings help verify the effects of cloud seeding in numerical simulations and demonstrate the excellent observation performance of airborne radar for optimal experimental design and analysis, particularly under complex topographical conditions such as those found in South Korea.
    번역하기

    The verification of the cloud seeding effect is a popular research topic worldwide. To directly observe changes in seeded clouds, an airborne cloud-observation radar was installed on a weather aircraft. This study analyzed the observational characteri...

    The verification of the cloud seeding effect is a popular research topic worldwide. To directly observe changes in seeded clouds, an airborne cloud-observation radar was installed on a weather aircraft. This study analyzed the observational characteristics of airborne cloud radar based on cloud seeding experiments conducted in South Korea. Two cloud observation methods were considered: the conventional single-direction observation and a multi-directional approach that considers for wind direction change during the experiment. To compare the observation performance of the airborne radar, ground-based weather radar data before and after the experiments and changes in the radar cloud characteristics during the numerical simulation were analyzed. The radar reflectivity increased by approximately 10 dBZ in the seeded clouds compared with their state before the experiment. This is a meaningful finding, as it is consistent with similar studies abroad, where seeded clouds intensified into a typical plume shape, as confirmed by the airborne radar. The multi-directional cloud observation method, which considers wind variations, was effective in tracking seeded clouds and observing their characteristic changes. These findings help verify the effects of cloud seeding in numerical simulations and demonstrate the excellent observation performance of airborne radar for optimal experimental design and analysis, particularly under complex topographical conditions such as those found in South Korea.

    더보기

    분석정보

    View

    상세정보조회

    0

    Usage

    원문다운로드

    0

    대출신청

    0

    복사신청

    0

    EDDS신청

    0

    동일 주제 내 활용도 TOP

    더보기

    주제

    연도별 연구동향

    연도별 활용동향

    연관논문

    연구자 네트워크맵

    공동연구자 (7)

    유사연구자 (20) 활용도상위20명

    이 자료와 함께 이용한 RISS 자료

    나만을 위한 추천자료

    해외이동버튼