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Reconstructed upper-ocean temperature, salinity, and sea ice at the Last Glacial Maximum

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Zenodo2023-07-03 更新2026-05-26 收录
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These data accompany the published article Amrhein, D. E., Wunsch, C., Marchal, O., &amp; Forget, G. (2018). A global glacial ocean state estimate constrained by upper-ocean temperature proxies. <em>Journal of Climate</em>, <em>31</em>(19), 8059-8079. https://doi.org/10.1175/JCLI-D-17-0769.1 Seasonal reconstructions of upper-ocean temperatures, salinity, and sea ice concentrations from Amrhein et al. (2018). Two sets of fields are available: GLACIAL, from the last glacial maximum ocean state estimation, and MODERN, from a similar model configuration but run to quasi-equilibrium under modern forcing conditions. GLACIAL minus MODERN anomaly values are likely to be more robust than standalone values from GLACIAL because of ocean drifts over millennial time scales present in both GLACIAL and MODERN. See publication for further information. See the MITgcm documentation for additional details on model variables. Files in Amrhein_etal_2018_LGM_MODERN_area_heff_seasonal.mat are: lat: Vector of latitudes<br> lon: Vector of longitudes<br> lgm_areai_seas: Monthly maps of fractional sea ice area estimated at the LGM<br> lgm_heffi_seas: Monthly maps of sea ice thickness estimated at the LGM<br> mod_areai_seas: Monthly maps of fractional sea ice area simulated for modern climate<br> mod_heffi_seas: Monthly maps of sea ice thickness simulated for modern climate Files in Amrhein_etal_2018_LGM_MODERN_T_SST_seasonal.mat are: lat: Vector of latitudes<br> lon: Vector of longitudes<br> lgm_Si_seas: Monthly maps of upper-ocean salinity estimated at the LGM<br> lgm_Ti_seas: Monthly maps of upper-ocean temperature estimated at the LGM<br> mod_Si_seas: Monthly maps of upper-ocean salinity simulated for modern climate<br> mod_Ti_seas: Monthly maps of upper-ocean temperature simulated for modern climate A simple plot of, e.g., estimated LGM January upper-ocean temperatures can be made in MATLAB by putting the file in your working directory and running <pre><code>load Amrhein_etal_2018_LGM_MODERN_T_SST_seasonal.mat pcolor(lon,lat,lgm_Si_seas(:,:,1)),shading flat</code></pre> These data are a subset of those generated in the full state estimate. If additional variables are needed, please contact damrhein@ucar.edu and I can update this repository.

本数据集配套于已发表学术论文:Amrhein, D. E.、Wunsch, C.、Marchal, O. 与 Forget, G. 于2018年发表的《以上层海洋温度代用资料约束的全球冰期海洋状态估算》,刊载于《气候学报(Journal of Climate)》第31卷第19期,页码8059-8079,DOI: 10.1175/JCLI-D-17-0769.1。 本数据集包含Amrhein团队(2018)构建的上层海洋温度、盐度与海冰浓度的季节重建结果。现有两套场数据:冰期(GLACIAL)数据集,源自末次冰盛期(Last Glacial Maximum, LGM)的海洋状态估算结果;现代(MODERN)数据集,采用相同的模型配置,但在现代强迫条件下运行至准平衡状态。由于冰期与现代工况均存在千年尺度的海洋漂移现象,冰期减现代的距平值相较于单独的冰期工况值,具有更高的稳健性。更多细节请参阅原论文;关于模型变量的详细说明,请参考MITgcm官方文档。 Amrhein_etal_2018_LGM_MODERN_area_heff_seasonal.mat 包含以下变量: - lat:纬度向量 - lon:经度向量 - lgm_areai_seas:末次冰盛期(LGM)估算的海冰覆盖率月度场 - lgm_heffi_seas:末次冰盛期(LGM)估算的海冰厚度月度场 - mod_areai_seas:现代气候下模拟的海冰覆盖率月度场 - mod_heffi_seas:现代气候下模拟的海冰厚度月度场 Amrhein_etal_2018_LGM_MODERN_T_SST_seasonal.mat 包含以下变量: - lat:纬度向量 - lon:经度向量 - lgm_Si_seas:末次冰盛期(LGM)估算的上层海洋盐度月度场 - lgm_Ti_seas:末次冰盛期(LGM)估算的上层海洋温度月度场 - mod_Si_seas:现代气候下模拟的上层海洋盐度月度场 - mod_Ti_seas:现代气候下模拟的上层海洋温度月度场 若需绘制示例图,例如末次冰盛期1月上层海洋温度的估算结果,可在MATLAB中执行如下操作:将数据文件放入工作目录,运行以下代码: load Amrhein_etal_2018_LGM_MODERN_T_SST_seasonal.mat pcolor(lon,lat,lgm_Si_seas(:,:,1)),shading flat 本数据集为完整海洋状态估算所生成数据的子集。若需获取更多变量,请联系邮箱damrhein@ucar.edu,我将更新此数据集仓库。

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2023-07-03
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