Journal of Korean Society of Archives and Records Management (한국기록관리학회지)

Korean Society of Archives and Records Management (한국기록관리학회)
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A Study on Collecting and Utilizing Participatory Meteorological Record Information through Crowdsourcing

크라우드소싱을 통한 참여형 기상기록정보의 수집과 활용에 관한 연구

  • 이재능 (명지대학교 기록정보과학전문대학원 기록관리전공) ;
  • 이승휘 (명지대학교 기록정보과학전문대학원)
  • Received : 2019.04.23
  • Accepted : 2019.05.17
  • Published : 2019.05.31
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Abstract

Citizens are becoming providers of weather information through crowdsourcing on the Internet. In Korea and abroad, national weather service organizations and companies are using weather information provided by citizens for weather forecasting. Recently, it is necessary to pay attention to the changes and the current status of the producers of meteorological information in the meteorological field as they are aware of the importance of information management including data in academia. In this paper, first, the present status and problems of the weather observation network constructed by each weather information producer were identified. Second, to confirm the crowdsourcing in the meteorological area, the researchers directly participated in the weather forecasting process through crowdsourcing and analyzed the collection, utilization, and the possibility of weather record information. Third, prospects for the utilization of weather information through crowdsourcing were presented.

기상정보를 주로 제공받아온 시민은 인터넷 기술 기반의 크라우드소싱을 통해 기상정보를 제공하는 주체 중 하나로 자리잡아가고 있다. 국내외에서 국가 기상 서비스 기관과 기업은 시민들이 생산한 기상관측정보를 기상예보에 활용하고 있는 추세이다. 최근 기록학계에서 데이터를 포함한 정보 관리의 중요성을 인지하고 있는 만큼 기상 분야에서 일어나고 있는 기상기록정보 생산주체의 변화와 현황에 대해 주목할 필요가 있다. 그리하여 본 논문에서는 첫째, 각 기상정보생산 주체가 구축한 기상관측망의 현황과 문제점에 대해 확인하였다. 둘째, 기상 영역에서 이루어지고 있는 크라우드소싱을 확인하기 위해 크라우드소싱을 통한 기상예보 과정에 직접 참여하여 기상기록정보의 수집, 활용과 그 가능성에 대해 분석하였다. 셋째, 향후 크라우드소싱을 통한 기상정보의 활용에 대한 발전 전망을 제시하였다.

Keywords

HKGRBG_2019_v19n2_109_f0001.png 이미지

<그림 1> 기상기록정보 생산 주체의 확장에 따른 관측망 분포 예상도

HKGRBG_2019_v19n2_109_f0002.png 이미지

<그림 2> 크라우드소싱 상호작용 벤다이어크램

HKGRBG_2019_v19n2_109_f0003.png 이미지

<그림 3> Statista 통계 포털 사이트 자료-스마트폰 이용자 수

HKGRBG_2019_v19n2_109_f0004.png 이미지

<그림 4> 날씨 제보 앱 캡처 화면

HKGRBG_2019_v19n2_109_f0005.png 이미지

<그림 5> Weather Underground 데이터품질 인증 마크

HKGRBG_2019_v19n2_109_f0006.png 이미지

<그림 6> SKY2 제품 구성

HKGRBG_2019_v19n2_109_f0007.png 이미지

<그림 7> STORM 제품 구성

HKGRBG_2019_v19n2_109_f0008.png 이미지

<그림 8> 직접 설치한 개인기상관측소(PWS)

HKGRBG_2019_v19n2_109_f0009.png 이미지

<그림 9> WU의 PWS 실시간 관측자료

HKGRBG_2019_v19n2_109_f0010.png 이미지

<그림 11> BloomSky 어플리케이션-실시간 기상 정보

HKGRBG_2019_v19n2_109_f0011.png 이미지

<그림 10> WU의 Wunderstation-PWS관측데이터 위젯

HKGRBG_2019_v19n2_109_f0012.png 이미지

<그림 12> BloomSky Data Portal-기상데이터그래프

HKGRBG_2019_v19n2_109_f0013.png 이미지

<그림 13> 기상청 AWS 관측 기온 분포도

HKGRBG_2019_v19n2_109_f0014.png 이미지

<그림 14> UK Snow Map - Twitter SNS 기록(2018.10.27)

HKGRBG_2019_v19n2_109_f0015.png 이미지

<그림 15> Tamil Nadu Weatherman 페이스북 페이지

<표 1> 크라우드소싱의 유형별 분류

HKGRBG_2019_v19n2_109_t0001.png 이미지

<표 2> Weather Underground의 기상관측소 보유 현황

HKGRBG_2019_v19n2_109_t0002.png 이미지

<표 3> WU의 BestForcast와 NWS 비교

HKGRBG_2019_v19n2_109_t0003.png 이미지

<표 4> BloomSky SKY2 설치 과정

HKGRBG_2019_v19n2_109_t0004.png 이미지

<표 5> Weather Underground와 BloomSky의 기상기록정보서비스 특징

HKGRBG_2019_v19n2_109_t0005.png 이미지

<표 6> 예보 및 관측 결과 비교-기상청, Weather Underground, BloomSky

HKGRBG_2019_v19n2_109_t0006.png 이미지

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