气候变化领域集成服务门户(CCPortal): Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response

CCPortal

DOI	10.5194/hess-23-1067-2019
	Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response
	Tian S.; Renzullo L.J.; Van Dijk A.I.J.M.; Tregoning P.; Walker J.P.
发表日期	2019
ISSN	1027-5606
起始页码	1067
结束页码	1081
卷号	23 期号:2
英文摘要	The lack of direct measurement of root-zone soil moisture poses a challenge to the large-scale prediction of ecosystem response to variation in soil water. Microwave remote sensing capability is limited to measuring moisture content in the uppermost few centimetres of soil. The GRACE (Gravity Recovery and Climate Experiment) mission detected the variability in storage within the total water column. However, root-zone soil moisture cannot be separated from GRACE-observed total water storage anomalies without ancillary information on surface water and groundwater changes. In this study, GRACE total water storage anomalies and SMOS near-surface soil moisture observations were jointly assimilated into a hydrological model globally to better estimate the impact of changes in root-zone soil moisture on vegetation vigour. Overall, the accuracy of root-zone soil moisture estimates through the joint assimilation of surface soil moisture and total water storage retrievals showed improved consistency with ground-based soil moisture measurements and satellite-observed greenness when compared to open-loop estimates (i.e. without assimilation). For example, the correlation between modelled and in situ measurements of root-zone moisture increased by 0.1 (from 0.48 to 0.58) and 0.12 (from 0.53 to 0.65) on average for grasslands and croplands, respectively. Improved correlations were found between vegetation greenness and soil water storage on both seasonal variability and anomalies over water-limited regions. Joint assimilation results show a more severe deficit in soil water anomalies in eastern Australia, southern India and eastern Brazil over the period of 2010 to 2016 than the open-loop, consistent with the satellite-observed vegetation greenness anomalies. The assimilation of satellite-observed water content contributes to more accurate knowledge of soil water availability, providing new insights for monitoring hidden water stress and vegetation conditions. © Author(s) 2019.
语种	英语
scopus关键词	Geodetic satellites; Groundwater; Moisture determination; Remote sensing; Soil moisture; Surface waters; Vegetation; Gravity recovery and climate experiments; Large-scale prediction; Microwave remote sensing; Root zone soil moistures; Soil moisture measurement; Soil water availability; Surface soil moisture; Surface water and groundwaters; Soil surveys; data assimilation; ecosystem response; GRACE; microwave radiometer; moisture content; prediction; rhizosphere; seasonality; SMOS; soil moisture; soil water potential; vigor; water content; water storage; water stress; Australia; Brazil; India
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159749
作者单位	Tian, S., Research School of Earth Sciences, Australian National University, Acton, ACT 2601, Australia, Fenner School of Environment and Society, Australian National University, Acton, ACT 2601, Australia; Renzullo, L.J., Fenner School of Environment and Society, Australian National University, Acton, ACT 2601, Australia; Van Dijk, A.I.J.M., Fenner School of Environment and Society, Australian National University, Acton, ACT 2601, Australia; Tregoning, P., Research School of Earth Sciences, Australian National University, Acton, ACT 2601, Australia; Walker, J.P., Department of Civil Engineering, Monash University, Clayton, VIC 3800, Australia
推荐引用方式 GB/T 7714	Tian S.,Renzullo L.J.,Van Dijk A.I.J.M.,et al. Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response[J],2019,23(2).
APA	Tian S.,Renzullo L.J.,Van Dijk A.I.J.M.,Tregoning P.,&Walker J.P..(2019).Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response.Hydrology and Earth System Sciences,23(2).
MLA	Tian S.,et al."Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response".Hydrology and Earth System Sciences 23.2(2019).