Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020GL088726 |
Global marine isochore estimates using machine learning | |
Taylor R. Lee; Benjamin J. Phrampus; Jeffrey Obelcz; Warren T. Wood; Adam Skarke | |
2020-08-21 | |
发表期刊 | Geophysical Research Letters
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出版年 | 2020 |
英文摘要 | The thickness normal to deposition (isopachs) and vertical thickness (isochores) of geological units is important for assessing various geologic processes. We present the first marine global sediment isochore estimates for five geological periods dating from middle Miocene (15.97 Ma) to present. We use sparsely distributed sediment depth vs. age observations from the Deep Sea Drilling Project and global maps of biological, oceanographic, geographic, and geological variables as training features in a k‐nearest neighbor regressor to estimate isochores. Results are compared to isochore estimates generated by applying a constant depositional rate from recent estimates of global total sediment thicknesses. Both models of isochore thickness exhibit consistent error. Results from a machine learning approach show major advantages, including results that are quantitative, easily updatable, and accompanied with uncertainty estimation. Final predictions can provide first order constraints on sediment deposition with geologic time, which is of timely importance for assessing past climate variability. |
领域 | 气候变化 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/291123 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | Taylor R. Lee,Benjamin J. Phrampus,Jeffrey Obelcz,et al. Global marine isochore estimates using machine learning[J]. Geophysical Research Letters,2020. |
APA | Taylor R. Lee,Benjamin J. Phrampus,Jeffrey Obelcz,Warren T. Wood,&Adam Skarke.(2020).Global marine isochore estimates using machine learning.Geophysical Research Letters. |
MLA | Taylor R. Lee,et al."Global marine isochore estimates using machine learning".Geophysical Research Letters (2020). |
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