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http://dx.doi.org/10.5532/KJAFM.2022.24.4.346

Mountain Meteorology Data for Forest Disaster Prevention and Forest Management  

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)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.24, no.4, 2022 , pp. 346-352 More about this Journal
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.
Keywords
Mountain meteorology; Complex terrain; Automatic Mountain Meteorology Observation Stations (AMOS); KoMIS; Quality control (QC);
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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