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DOI | 10.5194/hess-24-381-2020 |
Inter-annual variability of the global terrestrial water cycle | |
Yin D.; Roderick M.L. | |
发表日期 | 2020 |
ISSN | 1027-5606 |
起始页码 | 381 |
结束页码 | 396 |
卷号 | 24期号:1 |
英文摘要 | Variability of the terrestrial water cycle, i.e. precipitation (P), evapotranspiration (E), runoff (Q) and water storage change (1 Δ) is the key to understanding hydroclimate extremes. However, a comprehensive global assessment for the partitioning of variability in P between E, Q and 1 Δ is still not available. In this study, we use the recently released global monthly hydrologic reanalysis product known as the Climate Data Record (CDR) to conduct an initial investigation of the inter-annual variability of the global terrestrial water cycle. We first examine global patterns in partitioning the long-term mean P̄ between the various sinks Ē, Q̄ and 1Δ̄ and confirm the well-known patterns with P̄ partitioned between Ē and Q̄ according to the aridity index. In a new analysis based on the concept of variability source and sinks we then examine how variability in the precipitation σ2P (the source) is partitioned between the three variability sinks σ2E σ2Q and σ2Δsalong with the three relevant covariance terms, and how that partitioning varies with the aridity index.We find that the partitioning of inter-annual variability does not simply follow the mean state partitioning. Instead we find that σ2Pis mostly partitioned between σ2Q2Δsand the associated covariances with limited partitioning to σ2E. We also find that the magnitude of the covariance components can be large and often negative, indicating that variability in the sinks (e.g.σ2Q,;2Δs)can, and regularly does, exceed variability in the source (σ2P). Further investigations under extreme conditions revealed that in extremely dry environments the variance partitioning is closely related to the water storage capacity.With limited storage capacity the partitioning of σ2P is mostly to σ2E, but as the storage capacity increases the partitioning of σ2P is increasingly shared between σ2E2Δsand the covariance between those variables. In other environments (i.e. extremely wet and semi-arid semi-humid) the variance partitioning proved to be extremely complex and a synthesis has not been developed. We anticipate that a major scientific effort will be needed to develop a synthesis of hydrologic variability. © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. |
语种 | 英语 |
scopus关键词 | Water supply; Climate data records; Dry environment; Extreme conditions; Global patterns; Interannual variability; Limited storage; Source and sink; Storage capacity; Digital storage; annual variation; aridity; evapotranspiration; hydrological change; hydrological cycle; hydrometeorology; precipitation (climatology); runoff; water storage |
来源期刊 | Hydrology and Earth System Sciences
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/159517 |
作者单位 | Yin, D., Research School of Earth Sciences, Australian National University, Canberra, ACT 2601, Australia, Australian Research Council Centre of Excellence for Climate System Science, Canberra, ACT 2601, Australia; Roderick, M.L., Research School of Earth Sciences, Australian National University, Canberra, ACT 2601, Australia, Australian Research Council Centre of Excellence for Climate Extremes, Canberra, ACT 2601, Australia |
推荐引用方式 GB/T 7714 | Yin D.,Roderick M.L.. Inter-annual variability of the global terrestrial water cycle[J],2020,24(1). |
APA | Yin D.,&Roderick M.L..(2020).Inter-annual variability of the global terrestrial water cycle.Hydrology and Earth System Sciences,24(1). |
MLA | Yin D.,et al."Inter-annual variability of the global terrestrial water cycle".Hydrology and Earth System Sciences 24.1(2020). |
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