the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Unraveling the complexities of Last Glacial Maximum climate: the role of individual boundary conditions and forcings
Xiaoxu Shi
Martin Werner
Hu Yang
Roberta D'Agostino
Jiping Liu
Chaoyuan Yang
Gerrit Lohmann
Abstract. In order to quantify the relative importance of individual boundary conditions and forcings, including greenhouse gases, ice sheets, and Earth's orbital parameters, on determining Last Glacial Maximum (LGM) climate, we have performed a series of LGM experiments using a state-of-the-art climate model AWI-ESM, in which different combinations of boundary conditions and forcings have been applied following the protocol of Paleoclimate Modelling Intercomparison Project phase 4 (PMIP4). In good agreement with observational proxy records, a general colder and drier climate is simulated in our full-forced LGM experiment as compared to the present-day simulation. Our modeled results from non-full-forced sensitivity simulations reveal that both the greenhouse gases and ice sheets play a major role on defining the anomalous LGM surface temperature compared to today. Decreased greenhouse gases in LGM as compared to present-day leads to a non-uniform global cooling with polar amplification effect. The presence of LGM ice sheets favors a warming over Arctic Ocean and North Atlantic in boreal winter, as well as a cooling over regions with the presence of ice sheets. The former is induced by a strengthening in the Atlantic meridional overturning circulation (AMOC) transporting more heat to high-latitudes, whilst the latter owing to the increased surface albedo and elevation of ice sheets. We find that the Northern Hemisphere monsoon precipitation is influenced by the opposing effects of LGM greenhouse gases and ice sheets. Specifically, the presence of ice sheets leads to significant drying in the Northern Hemisphere monsoon regions, while a reduction in greenhouse gases results in increased monsoon rainfall. Based on our model results, continental ice sheets exert a major control on atmospheric dynamics and the variability of El Niño-Southern Oscillation (ENSO). Moreover, our analysis also implies a nonlinearity in climate response to LGM boundary conditions and forcings.
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Xiaoxu Shi et al.
Status: closed
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RC1: 'Comment on cp-2023-51', Anonymous Referee #1, 26 Jul 2023
- AC1: 'Reply on RC1', Xiaoxu Shi, 13 Sep 2023
- AC3: 'Reply on RC1', Xiaoxu Shi, 13 Sep 2023
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RC2: 'Comment on cp-2023-51', Anonymous Referee #2, 09 Aug 2023
Xiaoxu Shi and co-authors presented a comprehensive summary of the LGM simulations with AWI-ESM. The paper is well written, the results are summarized clearly, and the underlying mechanisms are investigated thoroughly and convincingly. Below are a few minor comments:
L60, remove high-resolution (1.875 x 1.875 resolution is not high-resolution)
L107, add “but not consistent with the estimate of -6.5 to -5.7 K cooling from Tierney et al., (2020).
L110, add values of hydrological sensitivity from Li et al., 2013 and Cao et al., 2019
Fig.1, for each panel of Figure 1, it’s helpful to add a corresponding scatter plot between the proxy temperature/precipitation and modeled temperature/precipitation at each location of the proxy site.
L156, please comment on the role of cold air from LGM ice sheet on the increase of AMOC
L337, need to also mention that the orbital forcing is not expected to produce large JJA or DJF changes between LGM and PI since the precession parameters are similar.
Citation: https://doi.org/10.5194/cp-2023-51-RC2 - AC2: 'Reply on RC2', Xiaoxu Shi, 13 Sep 2023
- AC4: 'Reply on RC2', Xiaoxu Shi, 13 Sep 2023
Status: closed
-
RC1: 'Comment on cp-2023-51', Anonymous Referee #1, 26 Jul 2023
- AC1: 'Reply on RC1', Xiaoxu Shi, 13 Sep 2023
- AC3: 'Reply on RC1', Xiaoxu Shi, 13 Sep 2023
-
RC2: 'Comment on cp-2023-51', Anonymous Referee #2, 09 Aug 2023
Xiaoxu Shi and co-authors presented a comprehensive summary of the LGM simulations with AWI-ESM. The paper is well written, the results are summarized clearly, and the underlying mechanisms are investigated thoroughly and convincingly. Below are a few minor comments:
L60, remove high-resolution (1.875 x 1.875 resolution is not high-resolution)
L107, add “but not consistent with the estimate of -6.5 to -5.7 K cooling from Tierney et al., (2020).
L110, add values of hydrological sensitivity from Li et al., 2013 and Cao et al., 2019
Fig.1, for each panel of Figure 1, it’s helpful to add a corresponding scatter plot between the proxy temperature/precipitation and modeled temperature/precipitation at each location of the proxy site.
L156, please comment on the role of cold air from LGM ice sheet on the increase of AMOC
L337, need to also mention that the orbital forcing is not expected to produce large JJA or DJF changes between LGM and PI since the precession parameters are similar.
Citation: https://doi.org/10.5194/cp-2023-51-RC2 - AC2: 'Reply on RC2', Xiaoxu Shi, 13 Sep 2023
- AC4: 'Reply on RC2', Xiaoxu Shi, 13 Sep 2023
Xiaoxu Shi et al.
Data sets
LGM simulations based on AWIESM Xiaoxu Shi https://doi.org/10.5281/zenodo.8063332
Xiaoxu Shi et al.
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