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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-2026-339</article-id>
<title-group>
<article-title>VIIRS Global Area Coverage (VGAC): A reduced resolution VIIRS dataset for climate data record continuity</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Knapp</surname>
<given-names>Kenneth R.</given-names>
<ext-link>https://orcid.org/0000-0001-5635-8755</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>Casey</surname>
<given-names>Philip N.</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>Rao</surname>
<given-names>Yuhan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Knapp WeatherSat Services, Asheville, NC, 28806, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>North Carolina Institute for Climate Studies, North Carolina State University, Asheville, NC, 28801, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>04</day>
<month>08</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>21</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Kenneth R. Knapp 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-2026-339/">This article is available from https://essd.copernicus.org/preprints/essd-2026-339/</self-uri>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2026-339/essd-2026-339.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/preprints/essd-2026-339/essd-2026-339.pdf</self-uri>
<abstract>
<p>The Visible Infrared Imaging Radiometer Suite (VIIRS) instrument represents a significant change from the legacy weather satellite observations. For example, there are several differences in scanning strategy, channels, file structure, etc. from the Advanced Very High Resolution Radiometer (AVHRR) which has flown on low earth orbit satellites since the 1970s. Several longstanding climate data records were developed expressly using the AVHRR instrument&amp;rsquo;s Global Area Coverage (GAC) data. The VIIRS Global Area Coverage (VGAC) dataset is an attempt to more closely bridge the old GAC technology with the new. The VGAC data file provides one orbit of VIIRS observations that have been degraded in resolution to approximate the AVHRR GAC resolution by defining a swath projection model. Each channel is provided using a swath that simulates a scan at ~3.9 km resolution. VGAC provides mean and standard deviation values for each moderate resolution (750 m) VIIRS channel. Higher resolution VIIRS imaging channels (375 m) contain more information, including maximum and minimum radiances, which benefit algorithms like cloud and surface retrievals. The result is that VGAC data are 50 times smaller with 1800 fewer files than the original VIIRS data. The main purpose of VGAC data is to facilitate climate processing to continue the historic climate records from AVHRR and other satellites. VGAC data described here are available from NOAA via &lt;a href=&quot;https://doi.org/10.25921/gsef-pg81&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot;&gt;https://doi.org/10.25921/gsef-pg81&lt;/a&gt; (Knapp et al., 2024).</p>
</abstract>
<counts><page-count count="21"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>National Centers for Environmental Information</funding-source>
<award-id>NA24NESX432C0001T101</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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