Abstract
Complex network theory provides a powerful framework to statistically investigate the topology of complex system include both artificial systems and natural systems. We propose a method to construct a climate observation network with climate observation records from automatic weather stations (AWS) in different locations. A link between AWS represents the cross-correlation between them. Apply this method to the climate observation records from the city of Chengdu and find that AWS with edge connected are located very close to. And the area with dense AWS has a significantly higher correlation between AWS compared to the area with exiguous AWS. This work would be helpful for identifying the preferred strategy for location optimization problems / discovering similar observation stations associated with AWS or using this information to complete missing/error values.
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Yu, W., Zhang, H. (2015). Construct Climate Observation Network and Discover Similar Observation Stations. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_5
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DOI: https://doi.org/10.1007/978-3-662-45737-5_5
Publisher Name: Springer, Berlin, Heidelberg
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