Air-sea coupling shapes North American hydroclimate response to ice sheets during the Last Glacial Maximum
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 bounda...
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ftdatacite:10.5281/zenodo.4632424 2023-05-15T18:18:33+02:00 Air-sea coupling shapes North American hydroclimate response to ice sheets during the Last Glacial Maximum Amaya, Dillon J. Seltzer, Alan M. Karnauskas, Kristopher B. Lora, Juan M. Zhang, Xiyue DiNezio, Pedro N. 2021 https://dx.doi.org/10.5281/zenodo.4632424 https://zenodo.org/record/4632424 en eng Zenodo https://dx.doi.org/10.1126/sciadv.aat9658 https://dx.doi.org/10.5281/zenodo.4632397 https://dx.doi.org/10.1016/j.epsl.2021.117271 https://dx.doi.org/10.5281/zenodo.4632423 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Paleoclimate modeling Last Glacial Maximum West coast hydroclimate Climate change dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.4632424 https://doi.org/10.1126/sciadv.aat9658 https://doi.org/10.5281/zenodo.4632397 https://doi.org/10.1016/j.epsl.2021.117271 https://doi.org/10.5281/zenodo.4632423 2022-02-08T13:25:49Z 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., LGM ICE 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. Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology) Pacific |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Paleoclimate modeling Last Glacial Maximum West coast hydroclimate Climate change |
spellingShingle |
Paleoclimate modeling Last Glacial Maximum West coast hydroclimate Climate change 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 |
topic_facet |
Paleoclimate modeling Last Glacial Maximum West coast hydroclimate Climate change |
description |
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., LGM ICE 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. |
format |
Dataset |
author |
Amaya, Dillon J. Seltzer, Alan M. Karnauskas, Kristopher B. Lora, Juan M. Zhang, Xiyue DiNezio, Pedro N. |
author_facet |
Amaya, Dillon J. Seltzer, Alan M. Karnauskas, Kristopher B. Lora, Juan M. Zhang, Xiyue DiNezio, Pedro N. |
author_sort |
Amaya, Dillon J. |
title |
Air-sea coupling shapes North American hydroclimate response to ice sheets during the Last Glacial Maximum |
title_short |
Air-sea coupling shapes North American hydroclimate response to ice sheets during the Last Glacial Maximum |
title_full |
Air-sea coupling shapes North American hydroclimate response to ice sheets during the Last Glacial Maximum |
title_fullStr |
Air-sea coupling shapes North American hydroclimate response to ice sheets during the Last Glacial Maximum |
title_full_unstemmed |
Air-sea coupling shapes North American hydroclimate response to ice sheets during the Last Glacial Maximum |
title_sort |
air-sea coupling shapes north american hydroclimate response to ice sheets during the last glacial maximum |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.4632424 https://zenodo.org/record/4632424 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.1126/sciadv.aat9658 https://dx.doi.org/10.5281/zenodo.4632397 https://dx.doi.org/10.1016/j.epsl.2021.117271 https://dx.doi.org/10.5281/zenodo.4632423 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.4632424 https://doi.org/10.1126/sciadv.aat9658 https://doi.org/10.5281/zenodo.4632397 https://doi.org/10.1016/j.epsl.2021.117271 https://doi.org/10.5281/zenodo.4632423 |
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1766195165583638528 |