Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/45674
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dc.contributor.authorGuglielmo, Magdaen
dc.contributor.authorTang, Fiona H Men
dc.contributor.authorPasut, Chiaraen
dc.contributor.authorMaggi, Federicoen
dc.date.accessioned2022-03-01T03:06:44Z-
dc.date.available2022-03-01T03:06:44Z-
dc.date.issued2021-
dc.identifier.citationScientific Data, v.8, p. 1-16en
dc.identifier.issn2052-4463en
dc.identifier.urihttps://hdl.handle.net/1959.11/45674-
dc.description.abstract<p>We introduce here SOIL-WATERGRIDS, a new dataset of dynamic changes in soil moisture and depth of water table over 45 years from 1970 to 2014 globally resolved at 0.25 x 0.25 degree resolution (about 30 x 30 km at the equator) along a 56 m deep soil profile. SOIL-WATERGRIDS estimates were obtained using the BRTSim model instructed with globally gridded soil physical and hydraulic properties, land cover and use characteristics, and hydrometeorological variables to account for precipitation, ecosystem-specific evapotranspiration, snowmelt, surface runoff, and irrigation. We validate our estimates against independent observations and re-analyses of the soil moisture, water table depth, wetland occurrence, and runoff. SOIL-WATERGRIDS brings into a single product the monthly mean water saturation at three depths in the root zone and the depth of the highest and lowest water tables throughout the reference period, their long-term monthly averages, and data quality. SOIL-WATERGRIDS can therefore be used to analyse trends in water availability for agricultural abstraction, assess the water balance under historical weather patterns, and identify water stress in sensitive managed and unmanaged ecosystems.</p><table> <tr><td>Measurement(s)</td><td>volumetric water content • water table depth</td></tr><tr><td>Technology Type(s)</td><td>computational modeling technique</td</tr><tr><td>Factor Type(s)</td><td>hydrometeorology • soil properties • land use</td></tr><tr><td>Sample Characteristic - Environment</td><td>soil</td></tr></table> <p>Machine-accessible metadata file describing the reported data: <a href="https://doi.org/10.6084/m9.figshare.15982578"> https://doi.org/10.6084/m9.figshare.15982578</p>en
dc.languageenen
dc.publisherNature Publishing Groupen
dc.relation.ispartofScientific Dataen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleSOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014en
dc.typeJournal Articleen
dc.identifier.doi10.1038/s41597-021-01032-4en
dc.identifier.pmid34615885en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameMagdaen
local.contributor.firstnameFiona H Men
local.contributor.firstnameChiaraen
local.contributor.firstnameFedericoen
local.relation.isfundedbyARCen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailftang2@une.edu.auen
local.output.categoryC1en
local.grant.numberLE190100021en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.identifier.runningnumber263en
local.format.startpage1en
local.format.endpage16en
local.identifier.scopusid85116505761en
local.peerreviewedYesen
local.identifier.volume8en
local.access.fulltextYesen
local.contributor.lastnameGuglielmoen
local.contributor.lastnameTangen
local.contributor.lastnamePasuten
local.contributor.lastnameMaggien
dc.identifier.staffune-id:ftang2en
local.profile.orcid0000-0002-8119-4016en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/45674en
local.date.onlineversion2021-10-06-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleSOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014en
local.relation.fundingsourcenoteMagda Guglielmo and Fiona Tang are supported by the SREI2020 of the University of Sydney. Magda Guglielmo is also supported by the W H Gladstones Population and Environment Fund of the Australian Academy of Science awarded to Fiona Tang. Chiara Pasut is supported by the The University of Sydney Postgraduate Scholarship Award "Contaminant Hydrology".en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.grantdescriptionARC/LE190100021en
local.search.authorGuglielmo, Magdaen
local.search.authorTang, Fiona H Men
local.search.authorPasut, Chiaraen
local.search.authorMaggi, Federicoen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/4b1e4f21-be12-4bdf-b0a7-19c59aa2c5e9en
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000704792800001en
local.year.available2021-
local.year.published2021-
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/4b1e4f21-be12-4bdf-b0a7-19c59aa2c5e9en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/4b1e4f21-be12-4bdf-b0a7-19c59aa2c5e9en
local.subject.for2020410601 Land capability and soil productivityen
local.subject.for2020410605 Soil physicsen
local.subject.seo2020190501 Climate change modelsen
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School of Environmental and Rural Science
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