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Liping Zhang

Researcher at University Corporation for Atmospheric Research

Publications -  62
Citations -  2709

Liping Zhang is an academic researcher from University Corporation for Atmospheric Research. The author has contributed to research in topics: Sea surface temperature & Atlantic multidecadal oscillation. The author has an hindex of 18, co-authored 44 publications receiving 2012 citations. Previous affiliations of Liping Zhang include Cooperative Institute for Marine and Atmospheric Studies & Ocean University of China.

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Enhanced warming over the global subtropical western boundary currents

TL;DR: In this paper, the authors used reconstructed sea surface temperature datasets and century-long ocean and atmosphere reanalysis products to find that the post-1900 surface ocean warming rate over the path of these currents is two to three times faster than the global mean surface ocean cooling rate.
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A global perspective on CMIP5 climate model biases

TL;DR: In this article, the authors investigated regional sea surface temperature biases across 22 climate models and found that they are linked to the large circulation system in the Atlantic Ocean, and that improvements to climate models will need to consider the impact of remote biases on regional processes.
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The North Atlantic Oscillation as a driver of rapid climate change in the Northern Hemisphere

TL;DR: The North Atlantic Oscillation has varied markedly on multidecadal timescales as mentioned in this paper and these variations have contributed to Arctic sea ice loss, Northern Hemisphere warming and tropical storm activity.
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Multidecadal North Atlantic sea surface temperature and Atlantic meridional overturning circulation variability in CMIP5 historical simulations

TL;DR: In this paper, simulated variability of the Atlantic Multidecadal Oscillation (AMO) and the Atlantic Meridional Overturning Circulation (AMOC) and their relationship has been investigated.
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North Atlantic climate far more predictable than models imply

TL;DR: In this article, a two-stage post-processing technique was used to adjust the variance of the ensemble-mean North Atlantic Oscillation forecast to match the observed variance of a predictable signal.