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Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response

Tian, Siyuan; Renzullo, Luigi; Van Dijk, Albert; Tregoning, Paul; Walker, Jeffrey

Description

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...[Show more]

dc.contributor.authorTian, Siyuan
dc.contributor.authorRenzullo, Luigi
dc.contributor.authorVan Dijk, Albert
dc.contributor.authorTregoning, Paul
dc.contributor.authorWalker, Jeffrey
dc.date.accessioned2020-02-06T03:37:30Z
dc.date.available2020-02-06T03:37:30Z
dc.identifier.issn1027-5606
dc.identifier.urihttp://hdl.handle.net/1885/201367
dc.description.abstractThe 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.
dc.description.sponsorshipThis research was supported through ARC Discovery grant DP140103679. This research was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherCopernicus GmbH
dc.rights© Author(s) 2019.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceHydrology and Earth System Sciences
dc.titleGlobal joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume23
dc.date.issued2019
local.identifier.absfor040608 - Surfacewater Hydrology
local.identifier.absfor050101 - Ecological Impacts of Climate Change
local.identifier.ariespublicationu3102795xPUB1026
local.type.statusPublished Version
local.contributor.affiliationTian, Siyuan, College of Science, ANU
local.contributor.affiliationRenzullo, Luigi, College of Science, ANU
local.contributor.affiliationVan Dijk, Albert, College of Science, ANU
local.contributor.affiliationTregoning, Paul, College of Science, ANU
local.contributor.affiliationWalker, Jeffrey, Monash University
dc.relationhttp://purl.org/au-research/grants/arc/DP140103679
local.bibliographicCitation.issue2
local.bibliographicCitation.startpage1067
local.bibliographicCitation.lastpage1081
local.identifier.doi10.5194/hess-23-1067-2019
local.identifier.absseo960999 - Land and Water Management of environments not elsewhere classified
local.identifier.absseo829805 - Management of Water Consumption by Plant Production
dc.date.updated2019-11-25T07:28:49Z
local.identifier.scopusID2-s2.0-85062002615
dcterms.accessRightsOpen Access
dc.provenanceThis work is distributed under the Creative Commons Attribution 4.0 License.
dc.rights.licenseCreative Commons Attribution 4.0 License
CollectionsANU Research Publications

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