全球智库信息集成服务系统(G2TT): Large-Scale Controls of the Surface Water Balance Over Land-Insights From a Systematic Review and Meta-Analysis.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1002/2017WR021215
	Large-Scale Controls of the Surface Water Balance Over Land-Insights From a Systematic Review and Meta-Analysis.
	Padrón RS; Gudmundsson L; Greve P; Seneviratne SI
发表日期	2017
出处	Water Resources Research 53 (11): 9659-9678
出版年	2017
语种	英语
摘要	The long-term surface water balance over land is described by the partitioning of precipitation (P) into runoff and evapotranspiration (ET), and is commonly characterized by the ratio ET/P. The ratio between potential evapotranspiration (PET) and P is explicitly considered to be the primary control of ET/P within the Budyko framework, whereas all other controls are often integrated into a single parameter, ω. Although the joint effect of these additional controlling factors of ET/P can be significant, a detailed understanding of them is yet to be achieved. This study therefore introduces a new global dataset for the long-term mean partitioning of P into ET and runoff in 2733 catchments, which is based on in-situ observations and assembled from a systematic examination of peer-reviewed studies. A total of 26 controls of ET/P that are proposed in the literature are assessed using the new dataset. Results reveal that: (i) factors controlling ET/P vary between regions with different climate types; (ii) controls other than PET/P explain at least 35% of the ET/P variance in all regions, and up to ∼90% in arid climates; (iii) among these, climate factors and catchment slope dominate over other landscape characteristics; and (iv) despite the high attention that vegetation-related indices receive as controls of ET/P, they are found to play a minor and often non-significant role. Overall, this study provides a comprehensive picture on factors controlling the partitioning of P, with valuable insights for model development, watershed management, and the assessment of water resources around the globe.
主题	Water (WAT)
URL	http://pure.iiasa.ac.at/id/eprint/14913/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/130976
推荐引用方式 GB/T 7714	Padrón RS,Gudmundsson L,Greve P,et al. Large-Scale Controls of the Surface Water Balance Over Land-Insights From a Systematic Review and Meta-Analysis.. 2017.