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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ESSDD</journal-id>
<journal-title-group>
<journal-title>Earth System Science Data Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">ESSDD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1866-3591</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/essd-2025-592</article-id>
<title-group>
<article-title>A 40-year high-resolution gridded meteorological dataset derived from station observations in the Reynolds Creek Experimental Watershed</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hedrick</surname>
<given-names>Andrew R.</given-names>
<ext-link>https://orcid.org/0000-0001-9511-1341</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>Stairs</surname>
<given-names>Brandon</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>Williams</surname>
<given-names>C. Jason</given-names>
<ext-link>https://orcid.org/0000-0002-6289-4789</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>Meyer</surname>
<given-names>Joachim</given-names>
<ext-link>https://orcid.org/0000-0002-1358-2244</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>McNamara</surname>
<given-names>James P.</given-names>
<ext-link>https://orcid.org/0000-0001-7625-4507</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Northwest Watershed Research Center, US Department of Agriculture – Agricultural Research Service, Boise, 83702, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Geosciences, Boise State University, Boise, Idaho 83712, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>17</day>
<month>04</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>15</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Andrew R. Hedrick et al.</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2025-592/">This article is available from https://essd.copernicus.org/preprints/essd-2025-592/</self-uri>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2025-592/essd-2025-592.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/preprints/essd-2025-592/essd-2025-592.pdf</self-uri>
<abstract>
<p>A forty-year gridded meteorological forcing dataset spanning the water years 1984 to 2023 (October 1&lt;sup&gt;st&lt;/sup&gt; to September 30&lt;sup&gt;th&lt;/sup&gt;) was compiled for the Reynolds Creek Experimental Watershed (RCEW) in southwest Idaho, USA. This Reynolds Creek Long-Term (RCLT) dataset consists of hourly, 10-meter resolution grids of air temperature, vapor pressure, precipitation mass and phase, incoming shortwave and longwave radiation, visible and infrared snow albedo, and wind speed and direction. These variables were interpolated and calculated from hourly measurements from the dense meteorological station network within the mountainous 239 km&lt;sup&gt;2&lt;/sup&gt; RCEW, which contains elevations that span the historical winter rain-to-snow transition. The observations are foundational for many ecological and hydrological Land Surface Models (LSMs) used in research and operational applications. Additionally, an example use case is presented in which we show how the snow-dominated area of the basin has evolved over the data record. This 13 TB dataset, stored in cloud-optimized Zarr format, enables future model development, benchmarking, and uncertainty analyses of existing models, independent validation of gridded atmospheric reanalysis datasets, and novel investigations of hydroclimatic variability across snow-dominated semi-arid environments. Data access is available via the following repository: &lt;a href=&quot;https://doi.org/10.15482/USDA.ADC/30199954&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot;&gt;https://doi.org/10.15482/USDA.ADC/30199954&lt;/a&gt; (Hedrick et al., 2025).</p>
</abstract>
<counts><page-count count="15"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>U.S. Department of Agriculture</funding-source>
<award-id>2052-13610-012-00D</award-id>
<award-id>2052-21500-001-000-D</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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