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DOI | 10.1038/s41598-019-47219-z |
Long-term, non-anthropogenic groundwater storage changes simulated by three global-scale hydrological models | |
Li, Bailing1,2; Rodell, Matthew2; Sheffield, Justin3,4; Wood, Eric3; Sutanudjaja, Edwin5 | |
发表日期 | 2019 |
ISSN | 2045-2322 |
卷号 | 9 |
英文摘要 | This study examined long-term, natural (i.e., excluding anthropogenic impacts) variability of groundwater storage worldwide. Groundwater storage changes were estimated by forcing three global-scale hydrological models with three 50+ year meteorological datasets. Evaluation using in situ groundwater observations from the U.S. and terrestrial water storage derived from the Gravity Recovery and Climate Experiment (GRACE) satellites showed that these models reasonably represented inter-annual variability of water storage, as indicated by correlations greater than 0.5 in most regions. Empirical orthogonal function analysis revealed influences of the El Nino Southern Oscillation (ENSO) on global groundwater storage. Simulated groundwater storage, including its global average, exhibited trends generally consistent with that of precipitation. Global total (natural) groundwater storage decreased over the past 5-7 decades with modeled rates ranging from 0.01 to 2.18 mm year(-1). This large range can be attributed in part to groundwater's low frequency (inter-decadal) variability, which complicates identification of real long-term trends even within a 50+ year time series. Results indicate that non-anthropogenic variability in groundwater storage is substantial, making knowledge of it fundamental to quantifying direct human impacts on groundwater storage. |
WOS研究方向 | Science & Technology - Other Topics |
来源期刊 | SCIENTIFIC REPORTS
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/100724 |
作者单位 | 1.Univ Maryland, ESSIC, College Pk, MD 20742 USA; 2.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA; 3.Princeton Univ, Princeton, NJ 08544 USA; 4.Univ Southampton, Southampton, Hants, England; 5.Univ Utrecht, Utrecht, Netherlands |
推荐引用方式 GB/T 7714 | Li, Bailing,Rodell, Matthew,Sheffield, Justin,et al. Long-term, non-anthropogenic groundwater storage changes simulated by three global-scale hydrological models[J],2019,9. |
APA | Li, Bailing,Rodell, Matthew,Sheffield, Justin,Wood, Eric,&Sutanudjaja, Edwin.(2019).Long-term, non-anthropogenic groundwater storage changes simulated by three global-scale hydrological models.SCIENTIFIC REPORTS,9. |
MLA | Li, Bailing,et al."Long-term, non-anthropogenic groundwater storage changes simulated by three global-scale hydrological models".SCIENTIFIC REPORTS 9(2019). |
条目包含的文件 | 条目无相关文件。 |
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