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      <alternateIdentifier system="https://doi.org">doi:10.6073/pasta/c5381cec9bfc1c3d444a6f709cb0ddec</alternateIdentifier>
      <title>HURRECON Model for Estimating Hurricane Wind Speed, Direction and Damage</title>
      <creator>
         <individualName>
            <givenName>Emery</givenName>
            <surName>Boose</surName>
         </individualName>
         <userId directory="https://orcid.org">https://orcid.org/0000-0003-4820-0231</userId>
      </creator>
      <pubDate>2024</pubDate>
      <language>English</language>
      <abstract>
         <section>
            <para>HURRECON is a simple meteorological model that estimates hurricane surface wind speed and direction based on the track, size, and intensity of a hurricane and the surface type (land or water). The model also estimates Fujita-scale wind damage as a function of peak 1/4 mile wind speed and wind gust factor. Estimates can be generated for a single site or a rectangular region. The model is based on published empirical studies of many hurricanes.</para>
            <para>HURRECON can be used to study the impacts of individual hurricanes or to reconstruct the hurricane disturbance regime for a particular region. For more information on the most recent version of the model please see the published paper (Boose, E. R., K. E. Chamberlin and D. R. Foster. 2001. Landscape and regional impacts of hurricanes in New England.  Ecological Monographs 71: 27-48). Additional information is contained in the documentation that accompanies the program.</para>
            <para>For an updated version of the HURRECON model in R and Python, please see HF446.</para>
         </section>
      </abstract>
      <keywordSet>
         <keyword>geographic information systems</keyword>
         <keyword>hurricane damage</keyword>
         <keyword>meteorology</keyword>
         <keyword>models</keyword>
         <keyword>region</keyword>
         <keyword>wind</keyword>
         <keywordThesaurus>LTER controlled vocabulary</keywordThesaurus>
      </keywordSet>
      <keywordSet>
         <keyword>disturbance</keyword>
         <keywordThesaurus>LTER core area</keywordThesaurus>
      </keywordSet>
      <keywordSet>
         <keyword>Harvard Forest</keyword>
         <keyword>HFR</keyword>
         <keyword>LTER</keyword>
         <keyword>USA</keyword>
         <keywordThesaurus>HFR default</keywordThesaurus>
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      <intellectualRights>
         <section>
            <para>This dataset is released to the public under Creative Commons CC0 1.0 (No Rights Reserved). Please keep the dataset creators informed of any plans to use the dataset. Consultation with the original investigators is strongly encouraged. Publications and data products that make use of the dataset should include proper acknowledgement.</para>
         </section>
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         <licenseName>Creative Commons Zero v1.0 Universal</licenseName>
         <url>https://spdx.org/licenses/CC0-1.0.html</url>
         <identifier>CC0-1.0</identifier>
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            <url function="information">https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf025</url>
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      <coverage>
         <geographicCoverage>
            <geographicDescription>Global. Coordinates based on WGS84 datum.</geographicDescription>
            <boundingCoordinates>
               <westBoundingCoordinate>-180</westBoundingCoordinate>
               <eastBoundingCoordinate>+180</eastBoundingCoordinate>
               <northBoundingCoordinate>+90</northBoundingCoordinate>
               <southBoundingCoordinate>-90</southBoundingCoordinate>
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      </coverage>
      <maintenance>
         <description>
            <para>complete</para>
         </description>
      </maintenance>
      <contact scope="document">
         <positionName>Information Manager</positionName>
         <organizationName>Harvard Forest</organizationName>
         <address scope="document">
            <deliveryPoint>324 North Main Street</deliveryPoint>
            <city>Petersham</city>
            <administrativeArea>MA</administrativeArea>
            <postalCode>01366</postalCode>
            <country>USA</country>
         </address>
         <phone phonetype="voice">(978) 724-3302</phone>
         <electronicMailAddress>hf-im@lists.fas.harvard.edu</electronicMailAddress>
      </contact>
      <publisher scope="document">
         <organizationName>Harvard Forest</organizationName>
         <address scope="document">
            <deliveryPoint>324 North Main Street</deliveryPoint>
            <city>Petersham</city>
            <administrativeArea>MA</administrativeArea>
            <postalCode>01366</postalCode>
            <country>USA</country>
         </address>
         <phone phonetype="voice">(978) 724-3302</phone>
         <phone phonetype="fax">(978) 724-3595</phone>
         <onlineUrl>https://harvardforest.fas.harvard.edu</onlineUrl>
      </publisher>
      <methods>
         <methodStep>
            <description>
               <section>
                  <para>Instructions for installing and using the HURRECON program are contained in the accompanying Readme file.</para>
               </section>
            </description>
         </methodStep>
      </methods>
      <project>
         <title>Harvard Forest Long-Term Ecological Research</title>
         <personnel>
            <organizationName>Harvard Forest</organizationName>
            <address>
               <deliveryPoint>324 North Main Street</deliveryPoint>
               <city>Petersham</city>
               <administrativeArea>MA</administrativeArea>
               <postalCode>01366</postalCode>
               <country>USA</country>
            </address>
            <phone phonetype="voice">(978) 724-3302</phone>
            <phone phonetype="fax">(978) 724-3595</phone>
            <onlineUrl>https://harvardforest.fas.harvard.edu</onlineUrl>
            <userId directory="https://ror.org">https://ror.org/059cpzx98</userId>
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         <abstract>The Harvard Forest Long-Term Ecological Research (LTER) program examines ecological dynamics in the New England region resulting from natural disturbances, environmental change, and human impacts.</abstract>
         <funding>National Science Foundation LTER grants: DEB-8811764, DEB-9411975, DEB-0080592, DEB-0620443, DEB-1237491, DEB-1832210.</funding>
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         <additionalClassifications>
            <researchTopic>informatics</researchTopic>
            <studyType>modeling</studyType>
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         <additionalLinks>
            <url name="HURRECON Model for Estimating Hurricane Wind Speed, Direction, and Damage (R and Python)">https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf446</url>
            <url name="Landscape and Regional Impacts of Hurricanes in New England 1620-1997">https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf011</url>
            <url name="Landscape and Regional Impacts of Hurricanes in Puerto Rico 1508-1997">https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf012</url>
            <url name="Reconstruction of the 1938 Hurricane in New England and Hurricane Hugo in Puerto Rico">https://harvardforest.fas.harvard.edu/exist/apps/datasets/showData.html?id=hf010</url>
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