한국농림기상학회지, 제 3권 제3호(2001) (pISSN 1229-5671, eISSN 2288-1859)
Korean Journal of Agricultural and Forest Meteorology, Vol. 3, No. 3, (2001), pp. 156~162
ⓒ Author(s) 2014. CC Attribution 3.0 License.


강원고랭지 농업기상 감시 및 분석시스템 구축

안재훈(1), 윤진일(2), 김기영(3)
(1)고령지농업시험장, (2)경희대 농학과, (3)첨성대(주)

(2001년 07월 21일 접수)

System Networking for the Monitoring and Analysis of
Local Climatic Information in Alpine Area

Jae-Hoon Ahn(1), Jin-Il Yun(2), Kee-Young Kim(3)
(1)Alpine Agricultural Experiment Station, RDA, Pyongchang 232-950, Korea
(2)Kyung Hee University, Suwon 449-701, Korea
(3)Chumsungdae, LTD, Taejon 305-764, Korea

(Manuscript received July 21, 2001)

ABSTRACT
In order to monitor local climatic information, twelve automated weather stations (AWS) were installed in alpine area by the Alpine Agricultural Experiment Station, Rural Development Administration (RDA), at the field of major crop located in around highland area, and collected data from 1993 to 2000. Hourly measurements of air and soil temperature (underground 10 cm,20 cm), relative humidity, wind speed and direction, precipitation, solar radiation and leaf wetness were automatically performed and the data could be collected through a public phone line. Datalogger was selected as CR10X (Campbell scientific, LTD, USA) out of consideration for sensers’ compatibility, economics, endurance and conveniences. All AWS in alpine area were combined for net work and daily climatic data were analyzed in text and graphic file by program (Chumsungdae, LTD) on 1 km $\times$ 수식 이미지 1 km grid tell basis. In this analysis system, important multi-functionalities, monitoring and analysis of local climatic information in alpine area was emphasized. The first objective was to obtain the output of a real time data from AWS. Secondly, daily climatic normals for each grid tell were calculated from geo-statistical relationships based on the climatic records of existing weather stations as well as their topographical informations. On 1 km $\times$ 수식 이미지 1 km grid cell basis, real time climatic data from the automated weather stations and daily climatic normals were analyzed and graphed. In the future, if several simulation models were developed and connected with this system it would be possible to precisely forecast crop growth and yield or plant disease and pest by using climatic information in alpine area.

Keyword: local climatic information, alpine area, system networking

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