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          <dc:title>Fuel Moisture Content (Live and Dead) over the Conterminous United States</dc:title>
          <dc:creator>Branko Kosovi\u0107</dc:creator>
          <dc:creator>Steven T. Massie</dc:creator>
          <dc:creator>Tyler C. McCandless</dc:creator>
          <dc:creator>William Petzke</dc:creator>
          <dc:creator>Pedro A. Jim\u00e9nez Munoz</dc:creator>
          <dc:creator>Amy L. DeCastro</dc:creator>
          <dc:creator>Amanda R. Siems-Anderson</dc:creator>
          <dc:contributor>UCAR/NCAR/RAL &gt; Research Application Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research</dc:contributor>
          <dc:publisher>NSF National Center for Atmospheric Research</dc:publisher>
          <dc:date>Published: 2019-12-06</dc:date>
          <dc:date>Valid: 2019-08-06 to 2021-02-28</dc:date>
          <dc:subject>climatologyMeteorologyAtmosphere</dc:subject>
          <dc:description>A dynamic gridded dataset of live and dead fuel moisture content (FMC) over the Conterminous United States (CONUS). The FMC dataset is created by combining satellite observations, reflectances from MODIS Terra and Aqua platforms, with surface, in situ observations of FMC from the National Fuel Moisture Database (NFMD) using a machine learning model as well as environmental data provided by the National Water Model based on the WRF-Hydro model.</dc:description>
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