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Amplified seasonal cycle in hydroclimate over the Amazon river basin and its plume region.


ABSTRACT: The Amazon river basin receives ~2000 mm of precipitation annually and contributes ~17% of global river freshwater input to the oceans; its hydroclimatic variations can exert profound impacts on the marine ecosystem in the Amazon plume region (APR) and have potential far-reaching influences on hydroclimate over the tropical Atlantic. Here, we show that an amplified seasonal cycle of Amazonia precipitation, represented by the annual difference between maximum and minimum values, during the period 1979-2018, leads to enhanced seasonalities in both Amazon river discharge and APR ocean salinity. An atmospheric moisture budget analysis shows that these enhanced seasonal cycles are associated with similar amplifications in the atmospheric vertical and horizontal moisture advections. Hierarchical sensitivity experiments using global climate models quantify the relationships of these enhanced seasonalities. The results suggest that an intensified hydroclimatological cycle may develop in the Amazonia atmosphere-land-ocean coupled system, favouring more extreme terrestrial and marine conditions.

SUBMITTER: Liang YC 

PROVIDER: S-EPMC7463004 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Amplified seasonal cycle in hydroclimate over the Amazon river basin and its plume region.

Liang Yu-Chiao YC   Lo Min-Hui MH   Lan Chia-Wei CW   Seo Hyodae H   Ummenhofer Caroline C CC   Yeager Stephen S   Wu Ren-Jie RJ   Steffen John D JD  

Nature communications 20200901 1


The Amazon river basin receives ~2000 mm of precipitation annually and contributes ~17% of global river freshwater input to the oceans; its hydroclimatic variations can exert profound impacts on the marine ecosystem in the Amazon plume region (APR) and have potential far-reaching influences on hydroclimate over the tropical Atlantic. Here, we show that an amplified seasonal cycle of Amazonia precipitation, represented by the annual difference between maximum and minimum values, during the period  ...[more]

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