Numerical Modeling Experiments of Combined Effects of Ice and Permafrost on Delta Morphodynamics
收藏DataCite Commons2023-05-05 更新2025-04-09 收录
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https://www.osti.gov/servlets/purl/1682304/
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资源简介:
This dataset contains output from numerical model experiments to test the combined effects of ice thickness and permafrost erodibility on delta dynamics. All experiments were conducted using DeltaRCM, a reduced complexity cellular model. Details of the model setup and experiments are described in full in Piliouras et al., (in revision). This dataset contains results from a total of 48 experiments, representing 16 different experimental conditions, each of which was run in triplicate. There is a control run (3 total experiments) with no ice and no permafrost. We used permafrost erodibilities (here described as erodibility relative to that of non-permafrost, and therefore < 1) of 0.65, 0.8, and 0.95, where 0.95 represents permafrost being only 5% less erodible than non-permafrost. We used ice thicknesses of 0.5 m, 3 m, and 4.5 m in a 5 m deep basin. We conducted experiments for each possible combination of permafrost erodibility and ice thickness (9 conditions, 27 experiments). We also provide results for experiments with only ice or permafrost (6 conditions, 18 experiments). The excel table (csv file) provides the ice and permafrost conditions for each run ID. Zip files contain model outputs and other variables generated during analysis (see ReadMe file) as numpy arrays (.npy files), which can be accessed using python.
本数据集包含用于测试冰厚度与多年冻土(permafrost)侵蚀性对三角洲动力学联合影响的数值模型实验输出。所有实验均采用低复杂度细胞模型DeltaRCM开展,模型设置与实验细节已在Piliouras等人待刊修订的研究中完整阐述。本数据集总计包含48组实验结果,对应16种不同实验工况,每组工况均完成3次重复实验;其中设置了1组无冰、无多年冻土的对照实验(共3次重复)。本研究采用的多年冻土侵蚀性(此处定义为相较于非多年冻土的侵蚀性比值,故取值小于1)分别为0.65、0.8与0.95,其中0.95代表多年冻土仅比非多年冻土抗侵蚀能力高5%;实验所用冰厚度设置为0.5 m、3 m与4.5 m,实验盆地水深为5 m。我们针对多年冻土侵蚀性与冰厚度的所有可能组合开展了实验(共9种工况,27组实验),同时也提供了仅含冰或仅含多年冻土的实验结果(6种工况,18组实验)。本数据集附带的Excel表格(CSV文件)提供了各运行ID对应的冰与多年冻土条件,压缩包内包含模型输出与分析过程中生成的其他变量,以numpy数组格式(.npy文件)存储,可通过Python读取,详细说明请参见ReadMe文件。
提供机构:
Environmental System Science Data Infrastructure for a Virtual Ecosystem; HiLAT-RASM project
创建时间:
2020-10-23



