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Forced response and internal variability changes in the hydrological cycle and general circulation in a hot world beyond 2100 in the Community Earth System Model

Bibliographic Data

ID15550403
AuthorsChristian L E Franzke (0000-0003-4111-1228, Pusan National University, corresponding author), Sun‐Seon Lee (0000-0001-7403-6485, Pusan National University, corresponding author), Yu Huang (0000-0003-4378-387X, Technical University of Munich, corresponding author), Susmit Subhransu Satpathy (0009-0003-8840-7875, APEC Climate Center, corresponding author)
Year2025
Volume21
Issue1
Pages014026-014026
Publication date2025-12-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ae2f73
OpenAlexW4417514613
LanguageEN
References cited48

Climate change affects both the mean state and its variability. Hence, the decomposition of climate variability into a forced response and internal variability is essential to understand climate change. Especially how the hydrological cycle will change is still uncertain. Here, we use ensemble simulations to elucidate the forced response and internal variability changes in a hot world beyond 2100 in the Community Earth System Model version 2. We extract the dominant modes of the forced response and of internal variability. The dominant mode of the forced response of the hydrological cycle changes sign in the early 22nd century, even though greenhouse gas emissions are decreasing. We find that pronounced atmospheric circulation changes are largely responsible for the hydrological cycle shift. The dominant modes of internal variability exhibit significant reduced amplitude of the variability after the forced response mode changes its sign, suggesting that the forced response has significant impact on internal variability. These results have implications for anthropogenic climate change beyond 2100

Climate change · Climate model · General Circulation Model · Global warming · Greenhouse gas · Mode (computer interface · Transient climate simulation · Water cycle · Climate variability and models · Hydrology and Watershed Management Studies · Plant Water Relations and Carbon Dynamics

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