RISS 학술연구정보서비스

검색
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
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      Status and Prospects of Marine Wind Observations from Geostationary and Polar-Orbiting Satellites for Tropical Cyclone Studies

      한글로보기

      https://www.riss.kr/link?id=A105893353

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      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, ongoing 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.
      번역하기

      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 in...

      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, ongoing 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.

      더보기

      참고문헌 (Reference)

      1 최도영, "인공위성 고도계 해상풍 검증과 해상상태편차와의 관련성- 이어도, 마라도, 외연도 해상풍 관측치를 중심으로 -" 한국지구과학회 39 (39): 139-153, 2018

      2 Lean, P., "Understanding atmospheric motion vector vertical representativity using a simulation study and first-guess departure statistics" 54 : 2479-2500, 2015

      3 Powell, M.D., "Tropical cyclone destructive potential by integrated kinetic energy" 88 : 513-526, 2007

      4 Zhang, Q., "Tropical cyclone damage in China 1983-2006" 99 : 489-495, 2009

      5 Figa-Saldana, J., "The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: A follow on for European wind scatterometers" 28 (28): 404-412, 2014

      6 Forsythe, M., "Second analysis of the data displayed on the NWP SAF AMV monitoring website. NWP SAF Technical Report 20" 2005

      7 Stoffelen, A., "Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4" 102 (102): 5767-5780, 1997

      8 Nam, S.H., "Observed impact of mesoscale circulation on oceanic response to typhoon Man-Yi (2007)" 62 (62): 1-12, 2012

      9 김태성, "L밴드 인공위성 SAR를 이용한 동해 연안 해상풍 산출 및 오차 특성" 대한원격탐사학회 28 (28): 477-487, 2012

      10 Knaff, J.A., "Improved tropical-cyclone flight-level wind estimates using routine infrared satellite reconnaissance" 50 : 2149-2166, 2015

      1 최도영, "인공위성 고도계 해상풍 검증과 해상상태편차와의 관련성- 이어도, 마라도, 외연도 해상풍 관측치를 중심으로 -" 한국지구과학회 39 (39): 139-153, 2018

      2 Lean, P., "Understanding atmospheric motion vector vertical representativity using a simulation study and first-guess departure statistics" 54 : 2479-2500, 2015

      3 Powell, M.D., "Tropical cyclone destructive potential by integrated kinetic energy" 88 : 513-526, 2007

      4 Zhang, Q., "Tropical cyclone damage in China 1983-2006" 99 : 489-495, 2009

      5 Figa-Saldana, J., "The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: A follow on for European wind scatterometers" 28 (28): 404-412, 2014

      6 Forsythe, M., "Second analysis of the data displayed on the NWP SAF AMV monitoring website. NWP SAF Technical Report 20" 2005

      7 Stoffelen, A., "Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4" 102 (102): 5767-5780, 1997

      8 Nam, S.H., "Observed impact of mesoscale circulation on oceanic response to typhoon Man-Yi (2007)" 62 (62): 1-12, 2012

      9 김태성, "L밴드 인공위성 SAR를 이용한 동해 연안 해상풍 산출 및 오차 특성" 대한원격탐사학회 28 (28): 477-487, 2012

      10 Knaff, J.A., "Improved tropical-cyclone flight-level wind estimates using routine infrared satellite reconnaissance" 50 : 2149-2166, 2015

      11 Lehner S., "High-resolution satellite measurements of coastal wind field and sea state" 33 (33): 7337-7360, 2012

      12 Daniels, J., "GOES-R Advanced Baseline Imager (ABI) algorithm theoretical basis document for derived motion winds, ver. 2.5" 96-, 2012

      13 Cotton, J., "Fourth analysis of the data displayed on the NWP SAF AMV monitoring website, NWP SAF Technical Report 24" 2010

      14 Metcalfe, D.J., "Cyclone damage to tropical rain forests: Species- and community-level impacts" 33 : 432-441, 2008

      15 Mears, C.A., "Comparison of Special Sensor Microwave Imager and buoy-measured wind speeds from 1987 to 1997" 106 : 11719-11729, 2001

      16 Hersbach, H., "Comparison of C-band scatterometer CMOD5. N equivalent neutral winds with ECMWF" 27 (27): 721-736, 2010

      17 Chou, K.-H., "Assessment of the ASCAT wind error characteristics by global dropwindsonde observations" 118 : 9011-9021, 2013

      18 Lean, K., "Assessment of Himawari-8 AMV data in the ECMWF system. EUMETSAT/ECMWF Fellowship Programme Research Report 42" 2017

      19 Knaff, J.A., "An automated, objective, multiple-satellite-platform tropical cyclone surface wind analysis" 50 : 2149-2166, 2011

      20 Isoguchi, O., "An L-band ocean geophysical model function derived from PALSAR" 47 (47): 1925-1936, 2009

      21 Hong, S., "A unique satellite-based sea surface wind speed algorithm and its application in tropical cyclone intensity analysis" 33 : 1363-1375, 2016

      22 Soisuvarn, S., "A high wind Geophysical Model Function for C-band vertically polarized satellite scatterometer measurements" 51 : 3744-3760, 2013

      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

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-02-19 학회명변경 영문명 : 미등록 -> The Korean Earth Science Society KCI등재
      2007-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2005-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2002-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1999-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.47 0.47 0.49
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.51 0.52 0.909 0.21
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼