A Dynamical Framework for Interpreting Ancient Sea Surface Temperatures
A Dynamical Framework for Interpreting Ancient Sea Surface Temperatures
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DOI：
10.1029/2020gl089044
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发表时间：
2020-08-16
影响因子：
5.2
通讯作者：
Ivany, Linda C.
中科院分区：
文献类型：
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作者：
Judd, Emily J.;Bhattacharya, Tripti;Ivany, Linda C.
估计过去全球平均温度和纬度梯度的努力必须与海洋表面温度(SSTs)的空间异质性作斗争。在这里，我们使用现代SST来表明，大多数古气候数据来自的环境，浅海和大陆边缘，系统地抵消了纬向平均温度的影响。与相同纬度的公海相比，陆表海的温度更高，季节性更强，而大陆边缘表现出与环流有关的一致和可预测的偏差。从古生代替代数据推断的温暖温度可能在很大程度上反映了这些数据几乎全部来自陆表海。此外，使用古近纪采样点进行的伪代理分析表明，对与涡旋环流有关的所有动力环境进行欠采样可以产生对纬度温度梯度的错误估计。对这些全球模式的认识允许建立一个预测框架，在该框架内可以更有力地解释代理数据，改进地球系统模型，并重建古代动态制度。
Efforts to estimate past global mean temperature and latitudinal gradients must contend with spatial heterogeneity in sea surface temperatures (SSTs). Here, we use modern SSTs to show that the environments from which most paleoclimatic data are drawn, shallow epeiric seas and continental margins, are systematically offset from zonal mean temperatures. Epeiric seas are warmer and more seasonal than open-ocean values from the same latitudes, while continental margins exhibit consistent and predictable deviations related to gyre circulation. Warm temperatures inferred from Paleozoic proxy data may largely reflect that these data derive almost entirely from epeiric seas. Moreover, pseudoproxy analysis using Paleogene sampling localities demonstrates how undersampling of the full range of dynamical environments associated with gyre circulation can generate spurious estimates of latitudinal temperature gradients. Recognition of these global patterns permits a predictive framework within which to more robustly interpret proxy data, improve Earth system models, and reconstruct ancient dynamic regimes.