Global-threshold and backbone high-resolution weather radar networks are significantly complementary in a watershed

2022/01/13 by Aurelienne A. S. Jorge, Jorge, Aurelienne A. S., Iuri da Silva Diniz +7
Earth and Planetary Sciences · Environmental Science · #Climate variability and models #FOS: Computer and information sciences #FOS: Physical sciences #Meteorological Phenomena and Simulations #Physics and Society (physics.soc-ph) #Precipitation Measurement and Analysis #Social and Information Networks (cs.SI)

paper · pdf · doi:10.48550/arxiv.2201.05503

openalex publication_date 2022/01/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

There are several criteria for building up networks from time series related to different points in geographical space. The most used criterion is the Global-Threshold (GT). Using a weather radar dataset, this paper shows that the Backbone (BB) - a local-threshold criterion - generates networks whose geographical configuration is complementary to the GT networks. We compare the results for two well-known similarities measures: the Pearson Correlation (PC) coefficient and the Mutual Information (MI). The extracted backbone network (miBB), whose number of links is the same as the global MI (miGT), has the lowest average shortest path and presents a small-world effect. Regarding the global PC (pcGT) and its corresponding BB network (pcBB), there is a significant linear relationship: R2=0.77 with a slope of 1.15 (p-value

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