Urban Climate: Unlocking Insights into Urban Climate with the Application of Spatio-Temporal Big Data
Spatio-temporal big data provides a new perspective for studying urban climate, such as predicting climate change from a microscopic perspective. Compared with traditional datasets, spatio-temporal big data has higher temporal and spatial resolution, which can support analyzing multiscale research and provide insights that are obscured by the limitations of traditional datasets. Previous studies have shown that using spatio-temporal big data can better analyze urban climate issues. For example, it can examine the impact of urbanization on local climate and enrich our understanding of changes in temperature and precipitation patterns. It also can help predict and manage extreme weather events in cities. These studies demonstrate that spatio-temporal big data can provide a strong scientific basis for urban climate, including environmental protection and climate regulation strategies.
However, applying spatio-temporal big data to urban climate studies faces challenges, including data quality, methodologies, and data security and privacy. The complexity of these challenges necessitates a multidisciplinary approach that considers the technical, scientific, and ethical dimensions of spatio-temporal big data use.
The aim of this special issue is to analyze the potential and challenges of applying spatio-temporal big data to urban climate research. We seek to explore a wide range of themes, including but not limited to the processing, modeling, analysis, and practical application of spatio-temporal big data in urban climate research. We encourage submission of empirical, theoretical, and case studies on spatio-temporal big data in urban climate research, to provide innovative ideas and methods for urban climate research.
Guest editors:
Dr. Zhou Huang
Peking University, Beijing, China
huangzhou@pku.edu.cn
Dr. Sisi Zlatanova
University of New South Wales, Sydney NSW, Australia
s.zlatanova@unsw.edu.au
Dr. Yao Yao
China University of Geosciences, Wuhan, China
yaoy@cug.edu.cn
Dr. Mingshu Wang
University of Glasgow, UK
mingshu.wang@glasgow.ac.uk
Dr. Linna Li
California State University, Long Beach, California, USA
linna.li@csulb.edu
Dr. Yongze Song
Curtin University, Perth, Australia
yongze.song@curtin.edu.au
Manuscript submission information:
Submission Deadline: Nov 30, 2023
You are invited to submit your manuscript at any time before the submission deadline. For any inquiries about the appropriateness of contribution topics, please contact Managing Guest Editor: Dr. Zhou Huang.
The journal’s submission platform (Editorial Manager®) is now available for receiving submissions to this Special Issue. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI:BigData and UCLIM” when submitting your manuscript online.
Keywords:
1、Spatio-Temporal Big Data
2、Urbanization Impact
3、Cliamte Change and Analysis
4、Urban Heat Island
5、Urban Building Structure
6、Natural Environment and Climate
7、Artificial Intelligence
期刊主页 （Journal Website）
https://www.sciencedirect.com/journal/urban-climate
投稿网址 （Submission Website)
https://www.sciencedirect.com/journal/urban-climate
Q.E.D.