Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace-Reference-Cited by-同舟云学术

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Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace

Published:2019-12-18 Issue:1 Volume:7 Page:61-79
ISSN:2049-6060
Container-title:Geoscience Data Journal
language:en
Short-container-title:Geosci Data J

Author:

Zhu Yifan¹^ORCID,Zhang Sifan¹,Li Yinan¹,Lu Hao¹²,Shi Kaize¹,Niu Zhendong¹³⁴

Affiliation:

1. School of Computer Science & Technology Beijing Institute of Technology Beijing China

2. The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

3. Library Beijing Institute of Technology Beijing China

4. School of Computing and Information University of Pittsburgh Pittsburgh PA USA

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gdj3.85

Reference138 articles.

1. Cultural dimensions of climate change impacts and adaptation

2. On Feasibility of Crowdsourced Mobile Sensing for Smarter City Life

3. Real-Time Probabilistic Data Fusion for Large-Scale IoT Applications

4. Social Media and Disasters: Highlighting Some Wicked Problems [Leading Edge]

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1. Towards Sustainable Urban Mobility: Leveraging Machine Learning Methods for QA of Meteorological Measurements in the Urban Area;Sustainability;2024-07-04

2. Crowdsourced Meteorological Data to Supplement Limited Official Sources: A Survey and Case Study of Precipitation Monitoring in Guangzhou, China;Weather, Climate, and Society;2024-01

3. RECENT ADVANCES IN SOCIAL WEATHER, COMMON ALERT PROTOCOL AND DISSEMINATION SERVICES THROUGH APIS IN INDIA METEOROLOGICAL DEPARTMENT;MAUSAM;2023-12-31

4. Cherry blossom and ginkgo leaf coloration phenology dataset of China from 2009 to 2019 extracted from big data;Geoscience Data Journal;2023-12-10

5. A text analytics model for agricultural knowledge discovery and sustainable food production: A case study from Oklahoma Panhandle;Decision Analytics Journal;2023-12

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