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An analysis of spatiotemporal variations of soil and vegetation moisture from a 29-year satellite-derived data set over mainland Australia

dc.contributor.authorLiu, Yi Y.
dc.contributor.authorVan Dijk, Albert
dc.contributor.authorde Jeu, Richard A.M.
dc.contributor.authorHolmes, Thomas R.H.
dc.date.accessioned2015-12-13T22:48:26Z
dc.date.issued2009
dc.date.updated2016-02-24T09:41:54Z
dc.description.abstractThe spatiotemporal behavior of soil and vegetation moisture over mainland Australia was analyzed using passive microwave observations by four satellites going back to late 1978. Differences in measurement specifications prevented merging the data directly. A continuous product was developed for Australia by scaling percentiles of the cumulative moisture distribution within each grid cell to the percentiles of a reference sensor. The coefficient of correlation and root-mean-square error between rescaled values and the reference generally suggest good agreement. Using the merged data product, a strong El Nino-Southern Oscillation signal in near-surface hydrology across Australia was confirmed. Spatial patterns of trends in annual averages show that western and northwestern Australia have experienced an increase in vegetation moisture content, while the east and southeast experienced a decrease. Soil moisture showed a similar spatial pattern but with larger regions experiencing a decrease. This could be explained by decreasing rainfall and increasing potential evapotranspiration during the extended winter period (May-September). The results give us reasonable confidence in the time series of soil and vegetation moisture derived by the scaling method developed in this study. Development of a global data set along these lines should enable better estimation of hydrological variables and should increase understanding of the impacts of ocean circulations on terrestrial hydrology and vegetation dynamics.
dc.identifier.issn0043-1397
dc.identifier.urihttp://hdl.handle.net/1885/80102
dc.publisherAmerican Geophysical Union
dc.sourceWater Resources Research
dc.subjectKeywords: Annual average; Australia; Coefficient of correlation; Data products; Derived data; El Nino southern oscillation; Global data; Grid cells; Hydrological variables; Moisture distribution; Near-surface hydrology; Ocean circulation; Passive microwaves; Potent
dc.titleAn analysis of spatiotemporal variations of soil and vegetation moisture from a 29-year satellite-derived data set over mainland Australia
dc.typeJournal article
local.bibliographicCitation.issue7
local.bibliographicCitation.lastpage12
local.bibliographicCitation.startpage1
local.contributor.affiliationLiu, Yi Y., University of New South Wales
local.contributor.affiliationVan Dijk, Albert, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationde Jeu, Richard A.M., VU University Amsterdam
local.contributor.affiliationHolmes, Thomas R.H., Vrije Universiteit
local.contributor.authoruidVan Dijk, Albert, u5250651
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090905 - Photogrammetry and Remote Sensing
local.identifier.absseo960304 - Climate Variability (excl. Social Impacts)
local.identifier.ariespublicationf5625xPUB8427
local.identifier.citationvolume45
local.identifier.doi10.1029/2008WR007187
local.identifier.scopusID2-s2.0-69249105539
local.identifier.thomsonID000267938600001
local.type.statusPublished Version

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