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  Network motifs shape distinct functioning of Earth’s moisture recycling hubs

Wunderling, N., Wolf, F., Tuinenburg, O., Staal, A. (2022): Network motifs shape distinct functioning of Earth’s moisture recycling hubs. - Nature Communications, 13, 6574.
https://doi.org/10.1038/s41467-022-34229-1

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 Creators:
Wunderling, Nico1, Author              
Wolf, Frederik1, Author              
Tuinenburg, Obbe2, Author
Staal, Arie2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: Earth’s hydrological cycle critically depends on the atmospheric moisture flows connecting evaporation to precipitation. Here we convert a decade of reanalysis-based moisture simulations into a high-resolution global directed network of spatial moisture provisions. We reveal global and local network structures that offer a new view of the global hydrological cycle. We identify four terrestrial moisture recycling hubs: the Amazon Basin, the Congo Rainforest, South Asia and the Indonesian Archipelago. Network motifs reveal contrasting functioning of these regions, where the Amazon strongly relies on directed connections (feed-forward loops) for moisture redistribution and the other hubs on reciprocal moisture connections (zero loops and neighboring loops). We conclude that Earth’s moisture recycling hubs are characterized by specific topologies shaping heterogeneous effects of land-use changes and climatic warming on precipitation patterns.

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Language(s): eng - English
 Dates: 2022-09-012022-11-022022-11
 Publication Status: Finally published
 Pages: 8
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: MDB-ID: yes - 3487
PIKDOMAIN: RD1 - Earth System Analysis
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: FutureLab - Earth Resilience in the Anthropocene
Research topic keyword: Atmosphere
Research topic keyword: Complex Networks
Research topic keyword: Ecosystems
Regional keyword: Global
Model / method: Nonlinear Data Analysis
Model / method: Quantitative Methods
OATYPE: Gold - DEAL Springer Nature
DOI: 10.1038/s41467-022-34229-1
 Degree: -

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Title: Nature Communications
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 13 Sequence Number: 6574 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals354
Publisher: Nature