4.5 Article

Climate Network Analysis Detects Hot Spots under Anthropogenic Climate Change

Journal

ATMOSPHERE
Volume 14, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/atmos14040692

Keywords

climate change; climate network; complexity science; Mann-Kendall test; teleconnections

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In this study, the researchers use a novel climate network framework to identify regions most impacted by climate change. The findings show that land areas with increasing degrees are more closely connected to other regions, while the ocean shows the opposite trend due to weakened oceanic circulations. Three hot spots in East Asia, South America, and North Africa are identified, with intensive increasing network degree fields. The hot spot in East Asia is teleconnected to remote regions, providing a new perspective for assessing the planetary impacts of anthropogenic global warming.
Anthropogenic climate change poses a significant threat to both natural and social systems worldwide. In this study, we aim to identify regions most impacted by climate change using the National Centers for Environmental Prediction and the National Center for Atmospheric Research (NCEP-NCAR) reanalysis of near-surface daily air temperature data spanning 73 years (1948-2020). We develop a novel climate network framework to identify hot spots, regions that exhibit significant impact or impacted characteristics. Specifically, we use the node degree, a fundamental feature of the network, to measure the influence of each region and analyze its trend over time using the Mann-Kendall test. Our findings reveal that the majority of land areas experiencing increasing degrees are more closely connected to other regions, while the ocean shows the opposite trend due to weakened oceanic circulations. In particular, the degree in the central Pacific Ocean's El Nino region is significantly reduced. Notably, we identify three hot spots in East Asia, South America, and North Africa, respectively, with intensive increasing network degree fields. Additionally, we find that the hot spot in East Asia is teleconnected to remote regions, such as the South Pacific, Siberia, and North America, with stronger teleconnections in recent years. This provides a new perspective for assessing the planetary impacts of anthropogenic global warming. By using a novel climate network framework, our study highlights regions that are most vulnerable to the effects of climate change and emphasizes the importance of understanding network structures to assess the global impacts of anthropogenic climate change.

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