4.8 Article

The tropical Pacific as a key pacemaker of the variable rates of global warming

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NATURE GEOSCIENCE
卷 9, 期 9, 页码 669-+

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NATURE PORTFOLIO
DOI: 10.1038/NGEO2770

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资金

  1. Japanese Ministry of Education, Culture, Sports, Science and Technology [15H05466]
  2. Arctic Challenge for Sustainability (ArCS) Project
  3. Japanese Ministry of Environment through the Environment Research and Technology Development Fund [2-1503]
  4. US National Science Foundation
  5. National Oceanic and Atmospheric Administration
  6. Div Atmospheric & Geospace Sciences
  7. Directorate For Geosciences [1305719] Funding Source: National Science Foundation
  8. Grants-in-Aid for Scientific Research [15H05466] Funding Source: KAKEN

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Global mean surface temperature change over the past 120 years resembles a rising staircase(1,2): the overall warming trend was interrupted by the mid-twentieth-century big hiatus and the warming slowdown(2-8) since about 1998. The Interdecadal Pacific Oscillation(9,10) has been implicated in modulations of global mean surface temperatures(6,11), but which part of the mode drives the variability in warming rates is unclear. Here we present a successful simulation of the global warming staircase since 1900 with a global ocean-atmosphere coupled model where tropical Pacific sea surface temperatures are forced to follow the observed evolution. Without prescribed tropical Pacific variability, the same model, on average, produces a continual warming trend that accelerates after the 1960s. We identify four events where the tropical Pacific decadal cooling markedly slowed down the warming trend. Matching the observed spatial and seasonal fingerprints we identify the tropical Pacific as a key pacemaker of the warming staircase, with radiative forcing driving the overall warming trend. Specifically, tropical Pacific variability amplifies the first warming epoch of the 1910s-1940s and determines the timing when the big hiatus starts and ends. Our method of removing internal variability from the observed record can be used for real-time monitoring of anthropogenic warming.

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