Journal
GEOSCIENCE DATA JOURNAL
Volume 7, Issue 1, Pages 61-79Publisher
WILEY
DOI: 10.1002/gdj3.85
Keywords
crowdsourcing; data-driven; knowledge services; meteorological services; social space
Funding
- China's National Strategic Basic Research Program (973 Program) [2012CB720700]
- Public Weather Service Center of China Meteorological Administration
- National Natural Science Foundation of China [61370137]
- Ministry of Education-China Mobile Research Foundation Project [2016/2-7]
- Postgraduate Education Research Project of Beijing Institute of Technology [2017JYYJG-004]
Ask authors/readers for more resources
Crowdsourcing has significantly motivated the development of meteorological services. Starting from the beginning of 2010s and highly motivating after 2014, crowdsourcing-driven meteorological services have evolved from a single collection and observation of data to the systematic acquisition, analysis and application of these data. In this review, by focusing on papers and databases that have combined crowdsourcing methods to promote or implement meteorological knowledge services, we analysed the relevant literature in three dimensions: data collection, information analysis and meteorological knowledge applications. First, we selected the potential data sources for crowdsourcing and discussed the characteristics of the collected data in four dimensions: consciousness, objectiveness, mobility and multidisciplinary. Second, based on the purpose of these studies and the extent of utilizing data as well as knowledge, we categorize the crowdsourcing-based meteorological analysis into three levels: relationship discovery, knowledge generalization and systemized service. Third, according to the application scenario, we discussed the applications that have already been put into use, and we suggest current challenges and future research directions. These previous studies show that the use of crowdsourcing in social space can expand the coverage as well as enhance the performance of meteorological service. It was also evident that current researches are contributing towards a systemic and intelligent knowledge service to establish a better bridge among academic, industrial and individual community.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available