DOI: 10.5194/hess-23-1067-2019
论文题名: Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response
作者: Tian S. ; Renzullo L.J. ; Van Dijk A.I.J.M. ; Tregoning P. ; Walker J.P.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期: 2 起始页码: 1067
结束页码: 1081
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
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163039
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
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]. Hydrology and Earth System Sciences,2019-01-01,23(2)