• 제목/요약/키워드: Meteorology information

검색결과 350건 처리시간 0.032초

A investigation on the responses of conductive structures of Korean Peninsula using EM modeling

  • Yang, Jun-Mo;Oh, Seok-Hoon;Lee, Duk-Kee;Kwon, Byung-Doo;Youn, Yong-Hoon
    • 한국지구과학회:학술대회논문집
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    • 한국지구과학회 2004년도 춘계학술발표회 논문집
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    • pp.52-57
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    • 2004
  • Korean Peninsula located between Japan and China where earthquakes frequently occur, have little geophysical observation despite its tectonic importance. This study suggests the inland conductive structures inferred from GDS data measured in Korean Peninsula and try to interpret induction arrows quantitatively with the aid of 2- and 3-D geomagnetic induction modeling. Ogcheon Belt (OCB) and Imjin River Belt (IRB) are regarded as main conductive structures in Korea Peninsula, the induction arrows for the period of 60 minutes show very weak anomaly due to sea effect, which is supported by the results of 3-modeling also. However, for the period of 10 minutes, induction arrows at YIN and ICHN show anomalous patterns considered as the effect of IRB in spite of sea effect. The results of 2-D modeling which simplify geological situations provide overall information on IRB

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Fast Recovery Routing Algorithm for Software Defined Network based Operationally Responsive Space Satellite Networks

  • Jiang, Lei;Feng, Jing;Shen, Ye;Xiong, Xinli
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권7호
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    • pp.2936-2951
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    • 2016
  • An emerging satellite technology, Operationally Responsive Space (ORS) is expected to provide a fast and flexible solution for emergency response, such as target tracking, dense earth observation, communicate relaying and so on. To realize large distance transmission, we propose the use of available relay satellites as relay nodes. Accordingly, we apply software defined network (SDN) technology to ORS networks. We additionally propose a satellite network architecture refered to as the SDN-based ORS-Satellite (Sat) networking scheme (SDOS). To overcome the issures of node failures and dynamic topology changes of satellite networks, we combine centralized and distributed routing mechanisms and propose a fast recovery routing algorithm (FRA) for SDOS. In this routing method, we use centralized routing as the base mode.The distributed opportunistic routing starts when node failures or congestion occur. The performance of the proposed routing method was validated through extensive computer simulations.The results demonstrate that the method is effective in terms of resoving low end-to-end delay, jitter and packet drops.

Overlay Multicast Update Strategy Based on Perturbation Theory

  • Shen, Ye;Feng, Jing;Ma, Weijun;Jiang, Lei;Yin, Min
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권1호
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    • pp.171-192
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    • 2017
  • The change of any element in the network is possible to cause performance degradation of the multicast network. So it is necessary to optimize the topology path through the multicast update strategy, which directly affects the performance and user experience of the overlay multicast. In view of the above, a new multicast tree update strategy based on perturbation theory Musp (Multicast Update Strategy based on Perturbation theory) is proposed, which reduces the data transmission interruption caused by the multicast tree update and improves user experiences. According to the multicast tree's elements performance and the topology structure, the Musp strategy defines the multicast metric matrix and based on the matrix perturbation theory it also defines the multicast fluctuation factor. Besides it also demonstrates the calculability of the multicast fluctuation factor presents the steps of the Musp algorithm and calculates the complexity. The experimental results show that compared with other update strategies, as for the sensitivity of the multicast fluctuation factor's energized multicast tree to the network disturbance, the maximum delay of the Musp update strategy is minimal in the case of the local degradation of network performance.

지역농업기상지원을 위한 정보화기술 전망 및 활용 (Prospect of Information Technology and Its Application to Regional Agricultural Meteorology)

  • Lee, Byong-Lyol
    • 한국농림기상학회:학술대회논문집
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    • 한국농림기상학회 2003년도 춘계 학술발표논문집
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    • pp.189-201
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    • 2003
  • Grid is a new Information Technology (IT) concept of "super Internet" for high-performance computing: worldwide collections of high-end resources - such as supercomputers, storage, advanced instruments and immerse environments. The Grid is expected to bring together geographically and organizationally dispersed computational resources, such as CPUs, storage systems, communication systems, real-time data sources and instruments, and human collaborators. The term "the Grid" was coined in the mid l990s to denote a proposed distributed computing infrastructure for advanced science and engineering. The term computational Grids refers to infrastructures aimed at allowing users to access and/or aggregate potentially large numbers of powerful and sophisticated resources. More formally, Grids are defined as infrastructure allowing flexible, secure, and coordinated resource sharing among dynamic collections of individuals, institutions and resources referred to as virtual Organizations. GRID is an emerging IT as a kind of next generation Internet technology which will fit very well with Agrometeorological services in the future. I believe that it would contribute to the resource sharing in AgroMeteorology by providing super computing power, virtual storage, and efficient data exchanges, especially for developing countries that are suffering from the lack of resources for their agmet services at national level. Thus, the establishment of CAgM-GRID based on existing RAMINSII is proposed as a part of FWIS of WMO.part of FWIS of WMO.

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비선형 회귀 모형을 이용한 서울지역 오존의 고농도 현상의 모형화 (Modeling of High Density of Ozone in Seoul Area with Non-Linear Regression)

  • 정수연;최기헌
    • 응용통계연구
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    • 제22권4호
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    • pp.865-877
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    • 2009
  • 본 연구에서는 서울지역 오존의 기상상태와 추세경향에 따른 고농도 현상을 모수적 방법인 비선형회귀모형(nonlinear regression model)으로 모형화 하였다. 여기서는 1995년부터 1999년까지의 자료로부터 오존과 고농도 현상에 영향을 줄 수 있는 기상상태와 추세경향 등을 순차적으로 추가함으로써 고농도 현상을 예측하는 모형을 추정하였다.

인천국제공항 안개사례를 통한 경제적 재해 규모분석 (Analysis of the Economic Disaster Scale for Fog Case occurred at the Incheon International Airport)

  • 정우식;이중우;최효진;권태순;백종호;박종길
    • 한국항공운항학회지
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    • 제15권2호
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    • pp.40-47
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    • 2007
  • Poor visibility is very important information in aviation meteorology factor, because secure safety, trust and economical efficiency increase for aircraft movements. The Incheon International Airport 4 years recent times was to period aircraft movements delay and cancellation due to meteorology is 52% and 30%. And then fog is 63% and 43% in meteorology factor. Therefore, the analysis against the economic loss size of an airline due to the fog is necessary. This study is indirectly estimated economic disaster scale of flight return and cancellation due to the fog in the Incheon International Airport from 5 to 6 March 2006. This is based on an aviation operational statistics data and meteorology observation data. Result of estimated, total 14 flights return to Gimpo, Jeju and Gimhae in this period are about 208,205,700 won. And estimated total 10 flights cancellation are about 718,657,000 won.

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산림재해 방지와 산림관리를 위한 산악기상정보 (Mountain Meteorology Data for Forest Disaster Prevention and Forest Management)

  • 장근창;민성현;김인혜;천정화;원명수
    • 한국농림기상학회지
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    • 제24권4호
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    • pp.346-352
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    • 2022
  • 우리나라의 산림은 지형적으로 복잡한 특성을 가지고 있기 때문에 효율적인 산림관리를 위해서는 산림지역에 특화된 기상관측이 중요하다. 특히, 최근 기후변화에 따른 건조와 집중호우 등 이상기상 현상으로 산림재해가 발생할 수 있기 때문에, 이를 효과적으로 예방하고 관리하기 위한 대책 마련이 필요하다. 이를 위해 산림청에서는 산악지역에 대한 기상 자료를 수집하기 위해 2012년부터 산악기상관측망 구축을 시작했고, 현재 464개소의 산악기상관측망을 운영하고 있다. 산악기상관측망에서는 기온, 상대습도, 풍향과 풍속, 강수량, 지면온도, 대기압 등 7개 기상요소를 관측한다. 기상 자료는 1분 간격의 실시간 자료를 수집하며, 자료의 신뢰도 확보를 위한 품질관리 시스템을 운영하고 있다. 산악기상관측 자료의 품질관리는 물리한계검사, 단계검사, 내적 일치성검사, 지속성검사, 기후범위검사, 중앙값 필터검사 등 6가지 품질검사를 수행한다. 고품질 산악기상정보는 공동활용을 위해 산악기상정보시스템과 공공데이터 포털을 통해 자료를 공개하고 있다. 산악지역에 특화된 산악기상정보는 산림관리 및 산림재해 방지뿐만 아니라 국민 생활안전과 산림휴양⋅레저 등 다양한 분야에 활용될 수 있을 것으로 기대된다.

The Operational Procedure on Estimating Typhoon Center Intensity using Meteorological Satellite Images in KMA

  • Park, Jeong-Hyun;Park, Jong-Seo;Kim, Baek-Min;Suh, Ae-Sook
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.278-281
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    • 2006
  • Korea Meteorological Administration(KMA) has issued the tropical storm(typhoon) warning or advisories when it was developed to tropical storm from tropical depression and a typhoon is expected to influence the Korean peninsula and adjacent seas. Typhoon information includes current typhoon position and intensity. KMA has used the Dvorak Technique to analyze the center of typhoon and it's intensity by using available geostationary satellites' images such as GMS, GOES-9 and MTSAT-1R since 2001. The Dvorak technique is so subjective that the analysis results could be variable according to analysts. To reduce the subjective errors, QuikSCAT seawind data have been used with various analysis data including sea surface temperature from geostationary meteorological satellites, polar orbit satellites, and other observation data. On the other hand, there is an advantage of using the Subjective Dvorak Technique(SDT). SDT can get information about intensity and center of typhoon by using only infrared images of geostationary meteorology satellites. However, there has been a limitation to use the SDT on operational purpose because of lack of observation and information from polar orbit satellites such as SSM/I. Therefore, KMA has established Advanced Objective Dvorak Technique(AODT) system developed by UW/CIMSS(University of Wisconsin-Madison/Cooperative Institude for Meteorological Satellite Studies) to improve current typhoon analysis technique, and the performance has been tested since 2005. We have developed statistical relationships to correct AODT CI numbers according to the SDT CI numbers that have been presumed as truths of typhoons occurred in northwestern pacific ocean by using linear, nonlinear regressions, and neural network principal component analysis. In conclusion, the neural network nonlinear principal component analysis has fitted best to the SDT, and shown Root Mean Square Error(RMSE) 0.42 and coefficient of determination($R^2$) 0.91 by using MTSAT-1R satellite images of 2005. KMA has operated typhoon intensity analysis using SDT and AODT since 2006 and keep trying to correct CI numbers.

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