지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
초록· 키워드
오류제보하기
Satellite-derived sea surface winds (SSWs) and atmospheric motion vectors (AMVs) over the global ocean, particularly including the areas in and around tropical cyclones (TCs), have been provided in a real-time and continuous manner. More and better information is now derived from technologically improved multiple satellite missions and wind retrieving techniques. The status and prospects of key SSW products retrieved from scatterometers, passive microwave radiometers, synthetic aperture radar, and altimeters as well as AMVs derived by tracking features from multiple geostationary satellites are reviewed here. The quality and error characteristics, limitations, and challenges of satellite wind observations described in the literature, which need to be carefully considered to apply the observations for both operational and scientific uses, i.e., assimilation in numerical weather forecasting, are also described. Additionally, on-going efforts toward merging them, particularly for monitoring three-dimensional TC wind fields in a real-time and continuous manner and for providing global profiles of high-quality wind observations with the new mission are introduced. Future research is recommended to develop plans for providing more and better SSW and AMV products in a real-time and continuous manner from existing and new missions.
목차
등록된 정보가 없습니다.
참고문헌 (22)
참고문헌 신청
최도영 / 2018 / 인공위성 고도계 해상풍 검증과 해상상태편차와의 관련성- 이어도, 마라도, 외연도 해상풍 관측치를 중심으로 - / 한국지구과학회지 39(2):139~153
Chou, K.-H. / 2013 / Assessment of the ASCAT wind error characteristics by global dropwindsonde observations / J. Geophys. Res. 118:9011~9021
Cotton, J. / 2010 / Fourth analysis of the data displayed on the NWP SAF AMV monitoring website, NWP SAF Technical Report 24
Daniels, J. / 2012 / GOES-R Advanced Baseline Imager (ABI) algorithm theoretical basis document for derived motion winds, ver. 2.5 :96
Figa-Saldana, J. / 2014 / The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: A follow on for European wind scatterometers / Canadian Journal of Remote Sensing 28(3):404~412
Chou, K.-H. / 2013 / Assessment of the ASCAT wind error characteristics by global dropwindsonde observations / J. Geophys. Res. 118:9011~9021
Cotton, J. / 2010 / Fourth analysis of the data displayed on the NWP SAF AMV monitoring website, NWP SAF Technical Report 24
Daniels, J. / 2012 / GOES-R Advanced Baseline Imager (ABI) algorithm theoretical basis document for derived motion winds, ver. 2.5 :96
Figa-Saldana, J. / 2014 / The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: A follow on for European wind scatterometers / Canadian Journal of Remote Sensing 28(3):404~412
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