Browse > Article
http://dx.doi.org/10.14404/JKSARM.2019.19.2.109

A Study on Collecting and Utilizing Participatory Meteorological Record Information through Crowdsourcing  

Lee, Jaeneung (명지대학교 기록정보과학전문대학원 기록관리전공)
Lee, Seunghwi (명지대학교 기록정보과학전문대학원)
Publication Information
Journal of Korean Society of Archives and Records Management / v.19, no.2, 2019 , pp. 109-145 More about this Journal
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.
Keywords
crowdsourcing; meteorology; meteorological data; participatory; meteorological information collection; IoT; managing data; digital archive;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Choi, Yoo Ri (2015). "Systematically opened the way to manage indoor air quality": On-K-Weatherers. Retrieved November 14, 2018. from http://www.onkweather.com/bbs/board.php?bo_table=commu1&wr_id=1748
2 Klage, Jan (2004). The weather makes history. Seoul: Hwanso Jari.
3 Korean Society of Archives and Records Management (2018). Theory and Practice of Records Management. Seoul: Joeun Gleteo.
4 Korea Meteorologist Association (2015). A Study on the Collection and Utilization of Meteorological and Climate Historical Data, Seoul: KMA, 3-5 http://www.ndsl.kr/ndsl/commons/util/ndslOriginalView.do?dbt=TRKO&cn=TRKO201500013464&rn=&url=&pageCode=PG18
5 Bell, Simon, Cornford, Dan, & Bastin, Lucy (2013). The State of Automated Amateur Weather Observations. Royal Meteorological Society, 68(2), 36-41. https://doi.org/10.1002/wea.1980
6 Bell, Simon, Cornford, Dan, & Bastin, Lucy (2015). How Good are Citizen Weather Stations? Addressing a Biased Opinion. Weather, 70(3), 75-84. https://doi.org/10.1002/wea.2316   DOI
7 Boulos, Maged N Kamel, Resch, Bernd, Crowley, David N, Breslin, John G., Sohn, Gunho, Burtner, Russ, Pike, William A., Jezierski, Eduardo, & Chuang, Kuo-Yu Slayer (2011). Crowdsourcing, Citizen Sensing and Sensor Web Technologies for Public and Environmental Health Surveillance and Crisis Management. International Journal of Health Geographics, 10(67), 2. https://doi.org/10.1186/1476-072X-10-67   DOI
8 Campbell, Andrew T., Eisenman, Shane B., Lane, Nicholas D., Miluzzo, Emiliano, & Peterson, Ronald A. (2006). People Centric Urban Sensing, Proceedings of the 2nd Annual International Workshop on Wireless Internet, p. 3. https://doi.org/10.1145/1234161.1234179
9 Dickinson, Janis L., Zuckerberg, Benjamin, & B onter, David N. (2010). Citizen Science as an Ecological Research Tool: Challenges and Benefits. Annual Review of Ecology, Evolution, and Systematics, 41, 149-172. https://doi.org/10.1146/annurev-ecolsys-102209-144636   DOI
10 Fleming, Nic (2018). Why are all My Weather Apps Different? The Guardian. https://www.theguardian.com/technology/2018/jun/30/weather-forecast-apps-smartphone-predictions-forecasting: The Guardian.
11 GCOS (2010). Implementation Plan for the Global Observing System for Climate in Support of the Unfccc. World Meteorological Organization.
12 Kazai, G., Kamps, J., & Milic-Frayling, N. (2013). An Analysis of Human Factors and Label Accuracy in Crowdsourcing Relevance Judgments. Information Retrieval Journal, 16(2), 138. https://doi.org/ 10.1007/s10791-012-9205-0   DOI
13 Meier, Fred, Fenner, Daniel, Grassmann, Tom, Otto, Marco, & Scherer, Dieter (2017). Crowdsourcing Air Temperature from Citizenweather Stations for Urban Climate Research. Urban Climate, 19, 192-208. https://doi.org/10.1016/j.uclim.2017.01.006
14 Muller, C. L., Chapman, L., Johnston, S., Kidd, C., Illingworth, S., Foody, G., Overeem, A., & Leigh, R. R. (2015). Crowdsourcing for Climate and Atmospheric Sciences: Current Status and Future Potential. International Journal of Climatology, 35(11), 3185-3203. https://doi.org/10.1002/joc.4210   DOI
15 Overeem, A., Leijnse, H., & Uijlenhoet, R. (2013). Country-Wide Rainfall Maps from Cellular Communication Networks. Proceedings of the National Academy of Sciences, 110(8), 2741-2745. https://doi.org/10.1073/pnas.1217961110   DOI
16 Overton, A. K. (2006). Amateur observing into the 21st century - new technologies, new opportunities. Weather, 61(7), 208-209. https://doi.org/10.1256/wea.55.06   DOI
17 기상. 표준국어대사전. 검색일자: 2018. 11. 14. https://ko.dict.naver.com/#/entry/koko/e771b02ff5a2406cb4f5e3d74911180b
18 Vos, Lotte de, Leijnse, Hidde, Overeem, Aart, & Uijlenhoet, Remko (2017). The Potential of Urban Rainfall Monitoring with Crowdsourced Automatic Weather Stations in Amsterdam. Hydrology and Earth System Sciences, 21(2), 765-767. https://doi.org/10.5194/hess-21-765-2017   DOI
19 Weather Block (2018). A Decentralized Ecosystem for Peer-to-Peer Weather Data Exchange.: Weather Block, 3-11.
20 기상. 기상백과. 검색일자: 2018. 11. 14. https://terms.naver.com/entry.nhn?docId=1001712&cid=42443&categoryId=42443
21 기상청. AWS 관측 기온 분포도. 검색일자: 2018. 11. 14. http://www.weather.go.kr/weather/observation/aws_distribution_popup.jsp
22 신호 레벨. 네이버 지식백과 전기용어 사전, 검색일자: 2018. 11. 14. https://terms.naver.com/entry.nhn?docId=587391&cid=42094&categoryId=42094
23 BloomSky Data Portal-기상데이터 그래프, Retrieved November 15, 2018. from https://dashboard.bloomsky.com/user#_=_
24 Howe, Jeff (2006). Crowdsourcing: A Definition. [Web log comment]. November 15, 2018. from
25 Howe, Jeff (2006). THE RISE OF CROWDSOURCING. WIRED. Retrieved November 15, 2018. from https://www.wired.com/2006/06/crowds/
26 MADIS (2018). Retrieved November 15, 2018. from https://madis.ncep.noaa.gov/https://crowdsourcing.typepad.com/cs/2006/06/crowdsourcing_a.html
27 Norway Archive-The Digital ArchiveForum (2018). Retrieved April 20, 2019. from https://forum.arkivverket.no/topmembers/
28 Statista 통계 포털 사이트 자료-스마트폰 이용자 수. Retrieved November 15, 2018. from https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwid
29 UK Snow Map (2018). [Web log comment] Retrieved october 27, 2018. from https://twitter.com/uksnowmap
30 Tamil Nadu Weatherman (2018). Tamil Nadu Weatherman Faceboock. [Web log comment] Retrieved october 27, 2018. from https://www.facebook.com/tamilnaduweatherman/
31 UK Snow Map (2018). Retrieved october 27, 2018. from http://uksnowmap.com/#/
32 WeatherBlock (2019). BloomSky X Weatherblock. [Video file]. Retrieved April 20, 2019. from https://youtu.be/Y2OA_P0VmdA
33 WeatherUnderground 데이터 품질 인증 마크 (2018). Retrieved November 15, 2018. from https://www.wunderground.com/personal-weather-station/dashboard?ID=IULJUGUN2
34 WeatherUnderground-Data (2018). Retrieved November 15, 2018. from https://www.wunderground.com/about/data
35 WeatherUnderground-Privacy Policy (2018). Retrieved November 15, 2018. from https://www.wunderground.com/company/privacy-policy.
36 WeatherUnderground-PWS 설치 요령 (2018). Retrieved November 15, 2018. from https://www.wunderground.com/weatherstation/installationguide.asp
37 WeatherUnderground-WU의 PWS 실시간 관측자료 (2018). Retrieved November 15, 2018. from https://www.wunderground.com/personal-weather-station/dashboard?ID=IULJUGUN2
38 Kim, Won Ki (2013). A Study about Interaction Applications of Social Media Based on Crowdsourcing Platforms. Unpublished master's thesis, Seoul. Korea.
39 Department of Meteorological Observation Policy (2014). KMA, Develops App for Direct Weather Reporting, Seoul: KMA, 1-2.
40 Kim, Sun Young, Oh, Wan Tak, & Lee, Seung Ho (2013). Analysis on the Density of the Weather Station over South Korea. The Korean Asscociation of Professional Geographers, 47(1), 58.
41 Kim, You Seung (2010). A Theoretical Study on Establishing Archive 2.0. Korean Society of Archives and Records Management, 10(2), 35.
42 Kim, Yoon Hwa (2018). Analysis of SNS usage trend and usage behavior. Seoul: KISDI STAT Report, 1-2.
43 Kim, Ji suk (2015). Study on the Semantic Classification and the Semantic Derivation of '-bari' in Everyday Word of Fishing Village. The Journal of Korean dialectology, 71, 39-41.
44 Park, Tae Wan (2015). Information security management strategy of electronic records, Seoul: National Archives of Korea, 31.
45 Kim, Jin Ho & Choi, Yong Joo (2018). Why did IBM take over the Weather channel?. Dong-A Business Review. Retrieved November 14, 2018. http://dbr.donga.com/article/view/1306/article_no/8709
46 Kim, Hae Chan Sol, An, Dae Jin, Yim, Jin Hee, & Rieh, Hae Young (2017). A Study on Automatic Classification of Record Text Using Machine Learning. Korean Society Information Management, 34(4), 321-322. https://doi.org/10.3743/KOSIM.2017.34.4.321
47 Park, Bum Jin, Moon, Byung-Sup, & Byeon, Jang Seon (2012). A Study for Applying for Crowdsourcing Technology in ITS, INTELLIGENT TRANSPORT SYSTEM, 11(2), 48-56.
48 Song, Ji Ae, Lee, Seung Jae, & Kang, Min Suk (2016). Numerical Simulations for the Selection of Additional Location for Mobile Automatic Weather Station (AWS). Korean Meteorological Society, 750.
49 Wang, Hyo Myeong (2015). A Study on Enhancing the Reliability of Knowledge Transaction at Online Crowdsourcing. Unpublished master's thesis, Inha University, Incheon. Korea.
50 Yoon, Sung Ho, Kim, Dong Won, Oh, Min Sun, Nam, Yong Wook, & Kim, Yong Hyuk (2015). Analysis of Smartphone Sensor Data for Improving the Reliability of Weather Information. International Journal of Fuzzy Logic and Intelligent Systems, 202-204.
51 Lee, Seok Hyung (2001). Earth Science Special, Seoul: Shinwonbook.
52 Mitsuhiro Iida (2001). Introduction to meteorology, Seoul: S-wave
53 Lee, Jae Ho (2017). Earthquake? Sns said ... "Your friend is marked safe": The Hankyoreh. Retrieved November 14, 2018. from http://www.hani.co.kr/arti/economy/it/811808.html.
54 Jeon, Hon Ip (2017). The neighborhood forecast, I know, 30km away from the neighborhood forecast?: Hankookilbo. Retrieved November 14, 2018. from http://www.hankookilbo.com/News/Read/201710250415933199
55 Lee, Haneul (2017). Development of Korea Weather Forecasting Technology in the 1980s: Introduction of Computerized System and Pursuit of Objectivity in Forecasting. Unpublished master's thesis, Seoul National University, Seoul, Korea.
56 Lee, Hye Young (2018). Development of an Image Tagging System Based on Crowd-sourcing. Unpublished doctoral dissertation, Sookmyung Women's University, Seoul, Korea.
57 Jeon, Tae Il, Kim, Byung Hee, Nam, Jae Chul, Jung, Il Kwon, Yang, Jung Hyun, Lee, Hee Suh, Jeong, Seok Kwon, & Shin, Do Sik (2015). Basic Plan and Feasibility Study of Meteorological Museum (tentative name) Construction. Korean Meteorological Society, 430-432.
58 Jeong, Seok Kwon, Kim, Young Dong, & Jeon Young Shin (2015). Current Status and Tasks of Meteorological Records Management and Weather History Research. Korean Meteorological Society, 450-452.
59 Policy Research Division, Fusion Policy Research Department (2013). Crowd sourcing combined with mobile, domain expansion and business strategy. Seoul: KOREA COMMUNICATIONS AGENY
60 Choi, Min ji (2017). A new star in India where climate change was born ... 'The Weather Man'.: Kyung Hyang Newspaper. Retrieved November 14, 2018. from http://news.khan.co.kr/kh_news/khan_art_view.html?artid=201712271113001