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<front>
<journal-meta>
<journal-id journal-id-type="publisher">HESS</journal-id>
<journal-title-group>
<journal-title>Hydrology and Earth System Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">HESS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Hydrol. Earth Syst. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1607-7938</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>GÃ¶ttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/hess-15-533-2011</article-id>
<title-group>
<article-title>Past terrestrial water storage (1980â€“2008) in the Amazon Basin reconstructed from GRACE and in situ river gauging data</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Becker</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Meyssignac</surname>
<given-names>B.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Xavier</surname>
<given-names>L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cazenave</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alkama</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Decharme</surname>
<given-names>B.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>LEGOS/GOHS, UMR 5566/CNES/CNRS/UPS/IRD, Toulouse, France</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>COPPE/UFRJ, Rio de Janeiro, Brazil</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>MÃ©tÃ©o-France, CNRS, GAME, CNRM/GMGEC/UDC, Toulouse, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>09</day>
<month>02</month>
<year>2011</year>
</pub-date>
<volume>15</volume>
<issue>2</issue>
<fpage>533</fpage>
<lpage>546</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2011 M. Becker et al.</copyright-statement>
<copyright-year>2011</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://hess.copernicus.org/articles/15/533/2011/hess-15-533-2011.html">This article is available from https://hess.copernicus.org/articles/15/533/2011/hess-15-533-2011.html</self-uri>
<self-uri xlink:href="https://hess.copernicus.org/articles/15/533/2011/hess-15-533-2011.pdf">The full text article is available as a PDF file from https://hess.copernicus.org/articles/15/533/2011/hess-15-533-2011.pdf</self-uri>
<abstract>
<p>Terrestrial water storage (TWS) composed of surface waters, soil
moisture, groundwater and snow where appropriate, is a key element of global
and continental water cycle. Since 2002, the Gravity Recovery and Climate
Experiment (GRACE) space gravimetry mission provides a new tool to measure
large-scale TWS variations. However, for the past few decades, direct
estimate of TWS variability is accessible from hydrological
modeling only. Here we propose a novel approach that combines
GRACE-based TWS spatial patterns with multi-decadal-long in situ river level
records, to reconstruct past 2-D TWS over a river basin. Results
are presented for the Amazon Basin for the period 1980â€“2008, focusing on the
interannual time scale. Results are compared with past TWS estimated by the
global hydrological model ISBA-TRIP. Correlations between reconstructed past
interannual TWS variability and known climate forcing modes over the region
(e.g., El NiÃ±o-Southern Oscillation and Pacific Decadal Oscillation) are
also estimated. This method offers new perspective for improving our
knowledge of past interannual TWS in world river basins where natural
climate variability (as opposed to direct anthropogenic forcing) drives TWS
variations.</p>
</abstract>
<counts><page-count count="14"/></counts>
</article-meta>
</front>
<body/>
<back>
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