干旱区生态环境知识资源中心(Arid): The importance of vegetation in understanding terrestrial water storage variations

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DOI	10.5194/hess-26-1089-2022
	The importance of vegetation in understanding terrestrial water storage variations
	Trautmann, Tina; Koirala, Sujan; Carvalhais, Nuno; Guentner, Andreas; Jung, Martin
通讯作者	Trautmann, T (corresponding author)，Max Planck Inst Biogeochem, Dept Biogeochem Integrat, D-07745 Jena, Germany. ; Trautmann, T (corresponding author)，Int Max Planck Res Sch Global Biogeochem Cycles, D-07745 Jena, Germany.
来源期刊	HYDROLOGY AND EARTH SYSTEM SCIENCES
ISSN	1027-5606
EISSN	1607-7938
出版年	2022
卷号	26 期号:4 页码:1089-1109
英文摘要	So far, various studies have aimed at decomposing the integrated terrestrial water storage variations observed by satellite gravimetry (GRACE, GRACE-FO) with the help of large-scale hydrological models. While the results of the storage decomposition depend on model structure, little attention has been given to the impact of the way that vegetation is represented in these models. Although vegetation structure and activity represent the crucial link between water, carbon, and energy cycles, their representation in large-scale hydrological models remains a major source of uncertainty. At the same time, the increasing availability and quality of Earth-observation-based vegetation data provide valuable information with good prospects for improving model simulations and gaining better insights into the role of vegetation within the global water cycle. In this study, we use observation-based vegetation information such as vegetation indices and rooting depths for spatializing the parameters of a simple global hydrological model to define infiltration, root water uptake, and transpiration processes. The parameters are further constrained by considering observations of terrestrial water storage anomalies (TWS), soil moisture, evapotranspiration (ET) and gridded runoff ( Q) estimates in a multi-criteria calibration approach. We assess the implications of including varying vegetation characteristics on the simulation results, with a particular focus on the partitioning between water storage components. To isolate the effect of vegetation, we compare a model experiment in which vegetation parameters vary in space and time to a baseline experiment in which all parameters are calibrated as static, globally uniform values. Both experiments show good overall performance, but explicitly including varying vegetation data leads to even better performance and more physically plausible parameter values. The largest improvements regarding TWS and ET are seen in supply-limited (semi-arid) regions and in the tropics, whereas Q simulations improve mainly in northern latitudes. While the total fluxes and storages are similar, accounting for vegetation substantially changes the contributions of different soil water storage components to the TWS variations. This suggests an important role of the representation of vegetation in hydrological models for interpreting TWS variations. Our simulations further indicate a major effect of deeper moisture storages and groundwater-soil moisture-vegetation interactions as a key to understanding TWS variations. We highlight the need for further observations to identify the adequate model structure rather than only model parameters for a reasonable representation and interpretation of vegetation-water interactions.
类型	Article
语种	英语
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000763258000001
WOS关键词	LAND-SURFACE MODEL ; SOIL-MOISTURE ; GRACE DATA ; ASSIMILATION ; CLIMATE ; PRECIPITATION ; RUNOFF ; REPRESENTATION ; VALIDATION ; RESOURCES
WOS类目	Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376273
作者单位	[Trautmann, Tina; Koirala, Sujan; Carvalhais, Nuno; Jung, Martin] Max Planck Inst Biogeochem, Dept Biogeochem Integrat, D-07745 Jena, Germany; [Trautmann, Tina] Int Max Planck Res Sch Global Biogeochem Cycles, D-07745 Jena, Germany; [Carvalhais, Nuno] Univ Nova Lisboa, P-2829516 Caparica, Portugal; [Guentner, Andreas] Helmholtz Ctr Potsdam, GFZ German Res Ctr Geosci, D-14473 Potsdam, Germany; [Guentner, Andreas] Univ Potsdam, Inst Environm Sci & Geog, D-14476 Potsdam, Germany
推荐引用方式 GB/T 7714	Trautmann, Tina,Koirala, Sujan,Carvalhais, Nuno,et al. The importance of vegetation in understanding terrestrial water storage variations[J],2022,26(4):1089-1109.
APA	Trautmann, Tina,Koirala, Sujan,Carvalhais, Nuno,Guentner, Andreas,&Jung, Martin.(2022).The importance of vegetation in understanding terrestrial water storage variations.HYDROLOGY AND EARTH SYSTEM SCIENCES,26(4),1089-1109.
MLA	Trautmann, Tina,et al."The importance of vegetation in understanding terrestrial water storage variations".HYDROLOGY AND EARTH SYSTEM SCIENCES 26.4(2022):1089-1109.