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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>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/hess-19-389-2015</article-id>
<title-group>
<article-title>ERA-Interim/Land: a global land surface reanalysis data set</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Balsamo</surname>
<given-names>G.</given-names>
<ext-link>https://orcid.org/0000-0002-1745-3634</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Albergel</surname>
<given-names>C.</given-names>
<ext-link>https://orcid.org/0000-0003-1095-2702</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Beljaars</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>Boussetta</surname>
<given-names>S.</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>Brun</surname>
<given-names>E.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cloke</surname>
<given-names>H.</given-names>
<ext-link>https://orcid.org/0000-0002-1472-868X</ext-link>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dee</surname>
<given-names>D.</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>Dutra</surname>
<given-names>E.</given-names>
<ext-link>https://orcid.org/0000-0002-0643-2643</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Muñoz-Sabater</surname>
<given-names>J.</given-names>
<ext-link>https://orcid.org/0000-0002-5997-290X</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pappenberger</surname>
<given-names>F.</given-names>
<ext-link>https://orcid.org/0000-0003-1766-2898</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>de Rosnay</surname>
<given-names>P.</given-names>
<ext-link>https://orcid.org/0000-0002-7374-3820</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Stockdale</surname>
<given-names>T.</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>Vitart</surname>
<given-names>F.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Météo-France, Toulouse, France</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>University of Reading, Reading, UK</addr-line>
</aff>
<pub-date pub-type="epub">
<day>21</day>
<month>01</month>
<year>2015</year>
</pub-date>
<volume>19</volume>
<issue>1</issue>
<fpage>389</fpage>
<lpage>407</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2015 G. Balsamo et al.</copyright-statement>
<copyright-year>2015</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/19/389/2015/hess-19-389-2015.html">This article is available from https://hess.copernicus.org/articles/19/389/2015/hess-19-389-2015.html</self-uri>
<self-uri xlink:href="https://hess.copernicus.org/articles/19/389/2015/hess-19-389-2015.pdf">The full text article is available as a PDF file from https://hess.copernicus.org/articles/19/389/2015/hess-19-389-2015.pdf</self-uri>
<abstract>
<p>ERA-Interim/Land is a global land surface reanalysis data set covering the
period 1979–2010. It describes the evolution of soil moisture, soil
temperature and snowpack. ERA-Interim/Land is the result of a single 32-year
simulation with the latest ECMWF (European Centre for Medium-Range Weather Forecasts) land surface model driven by meteorological
forcing from the ERA-Interim atmospheric reanalysis and precipitation
adjustments based on monthly GPCP v2.1 (Global Precipitation Climatology
Project). The horizontal resolution is about 80 km and the time frequency is
3-hourly. ERA-Interim/Land includes a number of parameterization
improvements in the land surface scheme with respect to the original
ERA-Interim data set, which makes it more suitable for climate studies
involving land water resources. The quality of ERA-Interim/Land is assessed
by comparing with ground-based and remote sensing observations. In
particular, estimates of soil moisture, snow depth, surface albedo,
turbulent latent and sensible fluxes, and river discharges are verified
against a large number of site measurements. ERA-Interim/Land provides a
global integrated and coherent estimate of soil moisture and snow water
equivalent, which can also be used for the initialization of numerical
weather prediction and climate models.</p>
</abstract>
<counts><page-count count="19"/></counts>
</article-meta>
</front>
<body/>
<back>
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