• Title/Summary/Keyword: Meteorology data

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Implementation Strategy of Global Framework for Climate Service through Global Initiatives in AgroMeteorology for Agriculture and Food Security Sector (선도적 농림기상 국제협력을 통한 농업과 식량안보분야 전지구기후 서비스체계 구축 전략)

  • Lee, Byong-Lyol;Rossi, Federica;Motha, Raymond;Stefanski, Robert
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.15 no.2
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    • pp.109-117
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    • 2013
  • The Global Framework on Climate Services (GFCS) will guide the development of climate services that link science-based climate information and predictions with climate-risk management and adaptation to climate change. GFCS structure is made up of 5 pillars; Observations/Monitoring (OBS), Research/ Modeling/ Prediction (RES), Climate Services Information System (CSIS) and User Interface Platform (UIP) which are all supplemented with Capacity Development (CD). Corresponding to each GFCS pillar, the Commission for Agricultural Meteorology (CAgM) has been proposing "Global Initiatives in AgroMeteorology" (GIAM) in order to facilitate GFCS implementation scheme from the perspective of AgroMeteorology - Global AgroMeteorological Outlook System (GAMOS) for OBS, Global AgroMeteorological Pilot Projects (GAMPP) for RES, Global Federation of AgroMeteorological Society (GFAMS) for UIP/RES, WAMIS next phase for CSIS/UIP, and Global Centers of Research and Excellence in AgroMeteorology (GCREAM) for CD, through which next generation experts will be brought up as virtuous cycle for human resource procurements. The World AgroMeteorological Information Service (WAMIS) is a dedicated web server in which agrometeorological bulletins and advisories from members are placed. CAgM is about to extend its service into a Grid portal to share computer resources, information and human resources with user communities as a part of GFCS. To facilitate ICT resources sharing, a specialized or dedicated Data Center or Production Center (DCPC) of WMO Information System for WAMIS is under implementation by Korea Meteorological Administration. CAgM will provide land surface information to support LDAS (Land Data Assimilation System) of next generation Earth System as an information provider. The International Society for Agricultural Meteorology (INSAM) is an Internet market place for agrometeorologists. In an effort to strengthen INSAM as UIP for research community in AgroMeteorology, it was proposed by CAgM to establish Global Federation of AgroMeteorological Society (GFAMS). CAgM will try to encourage the next generation agrometeorological experts through Global Center of Excellence in Research and Education in AgroMeteorology (GCREAM) including graduate programmes under the framework of GENRI as a governing hub of Global Initiatives in AgroMeteorology (GIAM of CAgM). It would be coordinated under the framework of GENRI as a governing hub for all global initiatives such as GFAMS, GAMPP, GAPON including WAMIS II, primarily targeting on GFCS implementations.

Analysis of low level cloud prediction in the KMA Local Data Assimilation and Prediction System(LDAPS) (기상청 국지예보모델의 저고도 구름 예측 분석)

  • Ahn, Yongjun;Jang, Jiwon;Kim, Ki-Young
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.25 no.4
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    • pp.124-129
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    • 2017
  • Clouds are an important factor in aircraft flight. In particular, a significant impact on small aircraft flying at low altitude. Therefore, we have verified and characterized the low level cloud prediction data of the Unified Model(UM) - based Local Data Assimilation and Prediction System(LDAPS) operated by KMA in order to develop cloud forecasting service and contents important for safety of low-altitude aircraft flight. As a result of the low level cloud test for seven airports in Korea, a high correlation coefficient of 0.4 ~ 0.7 was obtained for 0-36 leading time. Also, we found that the prediction performance does not decrease as the lead time increases. Based on the results of this study, it is expected that model-based forecasting data for low-altitude aviation meteorology services can be produced.

Simulation for Analyzing Reservoir Storage in a Region with Insufficient Hydrological Data (수문자료 부족 지역의 저수량 변화 모의)

  • 노재경
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2001.06a
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    • pp.26-29
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    • 2001
  • 저수지 계획에서 수문자료는 가장 기본이 되며, 직접 설계에 영향을 미친다. 노 등(1997)은 일 기상자료를 이용한 '댐규모 의사결정지원시스템'을 개발하였다. 그러나 수문자료가 부족할 때는 많은 어려움을 겪게 된다. 어느 곳은 일자료는 없고 월자료만 있는 곳도 있다. 또한 저수지 수면증 발량은 계기증발량 값으로부터 추정하고 있는데, 1990년 이후 증발량을 측정하는 관측소의 수를 대폭 줄였으며 현재 전국 22개소에서만 증발량을 관측하고 있다.(중략)

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Feasibility Study of Remotely Sensed Data for Assessing Areal Evapotranspiration (광역 증발산량 추정을 위한 원격탐사 자료의 적용성 연구)

  • 채효석
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2001.06a
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    • pp.30-33
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    • 2001
  • 본 연구는 1995년도 보청천 유역을 대상으로 획득된 5개의 Landsat TM 자료를 분석하여 열수지 요소를 추출하고, 에너지 수지식으로부터 잠열을 추정하여 일 증발산량을 계산하였다. 이를 위해서 Landsat TM 자료로부터 현열, 지중열 및 잠열을 추정하고, 추정된 열수지 요소가 증발산량에 미치는 영향을 분석하기 위해서 민감도 분석과 오차분석을 실시하였다.(중략)

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Land Cover Monitoring of the Korean Peninsula Using Multi-Temporal NOAA-AVHRR Data (NOAA-AVHRR 자료분석에 근거한 한반도 지표피복의 변화)

  • 구자민;홍석영;윤진일
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2001.06a
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    • pp.147-150
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    • 2001
  • 최근 넓은 지역을 대상으로 토지이용 및 식생분포 등을 조사하기 위하여 인공위성 원격탐사기술이 활발히 사용되고 있다. 위성화상자료를 이용한 토지이용분석 사례는 다양한 분야에서 발견되는데, 미국지질청(USGS)의 EROS 데이터센터, 네브라스카 대학, 유럽공동체에서는 NASA의 도움을 받아 전 지구의 지표피복을 1km 해상도로 분류한 바 있다(http://edcdaac.usgs.gov).(중략)

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Using spatial data and crop growth modeling to predict performance of South Korean rice varieties grown in western coastal plains in North Korea II. Genetic coefficients of South Korean cultivars for CERES-Rice (공간정보와 생육모의에 의한 남한 벼 품종의 북한 서부지대 적응성 예측 II. 남한 벼 품종의 모수 추정)

  • 김재영;한상욱;김희동;김영호
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2002.11a
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    • pp.69-72
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    • 2002
  • 작물생육모형은 작물의 광합성과정 등 주요 생리과정을 정량적으로 연구하기 위해 30여 년 전부터 소개되기 시작하였다. 다양한 환경조건 하에서 생장 및 발육의 종합적인 모의가 가능한 정도로 발전한 최근에는 주요 식량작물에 대해 실용수준의 모형들이 개발되어 다양한 용도로 쓰이고 있다.(중략)

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Using spatial data and crop growth modeling to predict performance of South Korean rice varieties grown in western coastal plains in North Korea III. Evaluation of site-specific adaptability of South Korean cultivars (공간정보와 생육모의에 의한 남한 벼 품종의 북한 서부지대 적응성 예측 III. 품종별 지역적응성 평가)

  • 한상욱;김희동;김영호;정유란
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2002.11a
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    • pp.73-76
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    • 2002
  • 남한 벼 품종들의 북한 서부지역 적응성을 평가하고자 11개 품종의 유전적 특성을 갖도록 모수가 조정된 벼 생육모형 CERES-rice를, 선행연구에 의해 생성된 496개 재배구역별 일기상 자료를 이용하여 30년 간씩 구동함으로써 각 재배구역의 품종별 기후학적 적응성을 평가하였다.(중략)

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Development of Spatial Data Management System to Estimate Regional Evapotranspiration Using a Land Surface Parameterization

  • Kim, Kwang-Soo;Chung, U-Ran
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2003.09a
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    • pp.58-61
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    • 2003
  • A land surface parameterization has been used to simulate influences of the terrestrial surface on the atmosphere. A simple biosphere model (SiB2), one of land surface parameterization, calculates exchange of radiation, sensible heat, latent heat, and momentum between the surface and the atmosphere (Sellers, et al., 1996).(omitted)

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