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Mountain Meteorology Data for Forest Disaster Prevention and Forest Management

산림재해 방지와 산림관리를 위한 산악기상정보

  • Keunchang, Jang (Forest ICT Research Center, National Institute of forest Science) ;
  • Sunghyun, Min (Forest ICT Research Center, National Institute of forest Science) ;
  • Inhye, Kim (Forest ICT Research Center, National Institute of forest Science) ;
  • Junghwa, Chun (Forest ICT Research Center, National Institute of forest Science) ;
  • Myoungsoo, Won (Forest ICT Research Center, National Institute of forest Science)
  • 장근창 (국립산림과학원 산림ICT연구센터) ;
  • 민성현 (국립산림과학원 산림ICT연구센터) ;
  • 김인혜 (국립산림과학원 산림ICT연구센터) ;
  • 천정화 (국립산림과학원 산림ICT연구센터) ;
  • 원명수 (국립산림과학원 산림ICT연구센터)
  • Received : 2022.12.12
  • Accepted : 2022.12.26
  • Published : 2022.12.30

Abstract

Mountain meteorology in South Korea that is covered mountains with complex terrain is important for understanding and managing the forest disaster and forest ecosystems. In particular, recent changes in dryness and/or rainfall intensity due to climate change may cause an increase in the possibility of forest disasters. Therefore, accurate monitoring of mountain meteorology is needed for efficient forest management. Korea Forest Service (KFS) is establishing the Automatic Mountain Meteorology Observation Stations (AMOS) in the mountain regions since 2012. 464 AMOSs are observing various meteorological variables such as air temperature, relative humidity, wind speed and direction, precipitation, soil temperature, and air pressure for every minute, which is conducted the quality control (QC) to retain data reliability. QC process includes the physical limit test, step test, internal consistency test, persistence test, climate range test, and median filter test. All of AMOS observations are open to use, which can be found from the Korean Mountain Meteorology Information System (KoMIS, http://mtweather.nifos.go.kr/) of the National Institute of Forest Science and the Public Data Portal (https://public.go.kr/). AMOS observations with guaranteed quality can be used in various forest fields including the public safety, forest recreation, forest leisure activities, etc., and can contribute to the advancement of forest science and technology. In this paper, a series of processes are introduced to collect and use the AMOS dataset in the mountain region in South Korea.

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.

Keywords

Acknowledgement

본 연구는 국립산림과학원 "산악지역 영향예보 기반 구축 및 맞춤형 산악기상기후 서비스 체계 개발(FE0500-2018-02-2022)"과 "복잡 산악지형 특성을 고려한 고해상도 산림미기상 모의 기술 개발(FE0500-2019-01-2022)"을 통해 수행되었습니다.

References

  1. Chae, J.-H., M.-S. Park, and Y.-J. Choi, 2014: The WISE quality control system for integrated meteorological sensor data. Atmosphere 24(3), 445-456. (in Korean with English https://doi.org/10.14191/Atmos.2014.24.3.445
  2. Kim, S., T. K. Kim, S. Yoon, K. Jang, J. Chun, M. Won, J.-H. Lim, and H. S. Kim, 2022: Quantifying the importance of day length in process-based models for the prediction of temperate spring flowering phenology. Science of the Total Environment 843(1567780). http://dx.doi.org/10.1016/j.scitotenv.2022.156780http://dx.doi.org/10.1016/j.scitotenv.2022.156780
  3. KFS (Korea Forest Service), 2021: The annual report of forest fire statistics, Korea Forest Service. (in Korean)
  4. Lee, S. Y., I. U. Jung, and S. K. Kim, 2006: A study on establishment of the optimum mountain meteorological observation network system for forest fire prevention. Korea Journal of Agricultural and Forest Meteorology 8(1), 36-44. (in Korean with English
  5. NIFS (National Institute of Forest Science), 2018: Development of the mountain meteorological information service and its applied technique. National Institute of Forest Science. (in Korean)
  6. NIFS (National Institute of Forest Science(, 2020: Manual for establishment and management of the Automatic Mountain Meteorology Station (AMOS). National Institute of Forest Science. (in Korean)
  7. WMO (World Meteorological Organization), 2004: Guidelines on quality control procedures for data from automatic weather stations. CIMO/OPAG-SURFACE/ET ST&MT-1/Doc. 6.1(2), 10 pp.
  8. WMO (World Meteorological Organization), 2022: WMO Global Annual to Decadal Climate Update, World Meteorological Organization.
  9. Yoon, S., M. Won, and K. Jang, 2016: A study on optimal site selection for Automatic Mountain Meteorology Observation System (AMOS): The case of Honam and Jeju Areas. Korea Journal of Agricultural and Forest Meteorology 18(4), 208-220. (in Korean with English abstract)  https://doi.org/10.5532/KJAFM.2016.18.4.208