pyWBM soil moisture projections over the eastern United States
收藏DataCite Commons2025-02-19 更新2025-04-09 收录
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This repository contains simulation outputs from Lafferty et al. (2025), Combined climate and hydrologic uncertainties shape projections of future soil moisture in the central and eastern United States. The data represents a large ensemble (2340 members) of daily soil moisture (1m depth) simulations at 12.5km spatial resolution across the eastern half of the United States. The ensemble was created by first calibrating a conceptual water balance model against multiple target datasets using various loss functions, then combining the resulting parameter ensemble with downscaled climate projections to generate soil moisture simulations. For more details, please see the README file or the associated journal article.
本仓库包含Lafferty等人(2025)的模拟输出成果,对应研究论文《气候与水文不确定性共同影响美国中东部未来土壤湿度预估结果》。该数据集涵盖美国东部全域范围内,空间分辨率为12.5km、深度1米的逐日土壤湿度模拟结果,共包含2340个成员的大集合模拟。该集合模拟的构建流程为:首先采用多种损失函数,基于多套目标数据集对概念性水量平衡模型进行率定;随后将得到的参数集合与降尺度气候预估数据相结合,最终生成土壤湿度模拟结果。如需了解更多细节,请参阅本仓库的README文件或相关期刊论文。
提供机构:
Penn State Data Commons
创建时间:
2025-02-19



