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License: CC BY
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ZENODO
Dataset . 2021
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Air-sea coupling shapes North American hydroclimate response to ice sheets during the Last Glacial Maximum

Authors: Amaya, Dillon J.; Seltzer, Alan M.; Karnauskas, Kristopher B.; Lora, Juan M.; Zhang, Xiyue; DiNezio, Pedro N.;

Air-sea coupling shapes North American hydroclimate response to ice sheets during the Last Glacial Maximum

Abstract

This data was generated in support of Amaya et al. "Air-sea coupling shapes North American hydroclimate response to ice sheets during the Last Glacial Maximum", published in Earth and Planetary Science Letters. A series of CAM5 simulations (referred to as WM-SST) forced at the lower boundary with the long-term monthly mean SST output from the WM-DOM experiment (e.g., LGMICE from DiNezio et al. 2018). Sea ice fraction was prescribed following a repeated seasonal cycle from the CTL-DOM simulation (e.g., PI from DiNezio et al. 2018). Separate experiments were conducted by forcing CAM5 with WM-DOM SSTs (a) globally, (b) in the tropics-only (20˚S-20˚N), (c) in the North Pacific-only (>30˚N), and (d) in the Northern extratropics (>30˚N, all longitudes). Grid points not prescribed with WM-DOM SSTs were set to the CTL SST seasonal cycle. Each simulation was integrated for 40 years. Due to the short decorrelation timescale of the atmosphere, each year of these simulations was treated as a separate ensemble member. All anomalies are relative to a WM-SST control experiment forced with CTL-DOM SSTs globally. Results are shown for the boreal winter (December-February) ensemble average within each experiment.

See DiNezio et al. (2018) for a complete model description.

Keywords

Last Glacial Maximum, West coast hydroclimate, Climate change, Paleoclimate modeling

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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