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    <crossref>
      <journal>
        <journal_metadata language="en">
          <full_title>Journal of Geophysical Research: Solid Earth</full_title>
          <abbrev_title>JGR Solid Earth</abbrev_title>
          <issn media_type="print">2169-9313</issn>
          <issn media_type="electronic">2169-9356</issn>
        </journal_metadata>
        <journal_issue>
          <publication_date media_type="print">
            <month>12</month>
            <year>2017</year>
          </publication_date>
          <journal_volume>
            <volume>122</volume>
          </journal_volume>
          <issue>12</issue>
          <doi_data>
            <doi>10.1002/jgrb.v122.12</doi>
            <resource>https://agupubs.onlinelibrary.wiley.com/toc/21699356/122/12</resource>
          </doi_data>
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        <journal_article publication_type="full_text">
          <titles>
            <title>Airborne Gravimetry of GEOHALO Mission: Data Processing and Gravity Field Modeling</title>
          </titles>
          <contributors>
            <person_name contributor_role="author" sequence="first">
              <given_name>Biao</given_name>
              <surname>Lu</surname>
              <affiliation>School of Geodesy and Geomatics Wuhan University  Wuhan China</affiliation>
              <affiliation>GFZ German Research Centre for Geosciences  Potsdam Germany</affiliation>
              <affiliation>Department of Geodesy and Geoinformation Science Technical University of Berlin  Berlin Germany</affiliation>
              <ORCID>http://orcid.org/0000-0003-0859-650X</ORCID>
            </person_name>
            <person_name contributor_role="author" sequence="additional">
              <given_name>Franz</given_name>
              <surname>Barthelmes</surname>
              <affiliation>GFZ German Research Centre for Geosciences  Potsdam Germany</affiliation>
              <ORCID>http://orcid.org/0000-0001-5253-2859</ORCID>
            </person_name>
            <person_name contributor_role="author" sequence="additional">
              <given_name>Svetozar</given_name>
              <surname>Petrovic</surname>
              <affiliation>GFZ German Research Centre for Geosciences  Potsdam Germany</affiliation>
              <ORCID>http://orcid.org/0000-0002-0744-577X</ORCID>
            </person_name>
            <person_name contributor_role="author" sequence="additional">
              <given_name>Christoph</given_name>
              <surname>Förste</surname>
              <affiliation>GFZ German Research Centre for Geosciences  Potsdam Germany</affiliation>
            </person_name>
            <person_name contributor_role="author" sequence="additional">
              <given_name>Frank</given_name>
              <surname>Flechtner</surname>
              <affiliation>GFZ German Research Centre for Geosciences  Potsdam Germany</affiliation>
              <affiliation>Department of Geodesy and Geoinformation Science Technical University of Berlin  Berlin Germany</affiliation>
              <ORCID>http://orcid.org/0000-0002-3093-5558</ORCID>
            </person_name>
            <person_name contributor_role="author" sequence="additional">
              <given_name>Zhicai</given_name>
              <surname>Luo</surname>
              <affiliation>MOE Key Laboratory of Fundamental Physical Quantities Measurement, School of Physics Huazhong University of Science and Technology  Wuhan China</affiliation>
              <affiliation>Institute of Geophysics Huazhong University of Science and Technology  Wuhan China</affiliation>
            </person_name>
            <person_name contributor_role="author" sequence="additional">
              <given_name>Kaifei</given_name>
              <surname>He</surname>
              <affiliation>School of Geosciences China University of Petroleum  Qingdao China</affiliation>
              <ORCID>http://orcid.org/0000-0001-6763-9149</ORCID>
            </person_name>
            <person_name contributor_role="author" sequence="additional">
              <given_name>Min</given_name>
              <surname>Li</surname>
              <affiliation>GFZ German Research Centre for Geosciences  Potsdam Germany</affiliation>
              <affiliation>Department of Geodesy and Geoinformation Science Technical University of Berlin  Berlin Germany</affiliation>
            </person_name>
          </contributors>
          <abstract abstract-type="main" lang="en">
            <title>Abstract</title>
            <p>
              Airborne gravimetry is a crucial method to improve our knowledge about the Earth gravity field, especially in hard‐to‐access regions. Generally, the accuracy of airborne gravimetry is several milligals, which is suitable for filling the so‐called polar gaps in satellite‐derived global gravity field models. Here some investigations based on airborne gravity measurements from the GEOHALO mission over Italy are presented. To subtract the vertical accelerations from the values measured by the gravimeter, four different versions of kinematic accelerations were derived from Global Navigation Satellite Systems (GNSS) recordings. To remove the high‐frequency noise, a low‐pass filter with a cutoff wavelength of 200 s was applied to both Chekan‐AM measurements and kinematic accelerations from GNSS. To investigate how future airborne gravity campaigns could be designed, a dedicated flight track was repeated two times showing that the equipment worked well also at higher altitude and speed. From the final best results follows an RMS of gravity differences at crossover points of 1.4 mGal, which, according to the law of error propagation, implies the accuracy of a single measurement to be
              <inline-graphic href="graphic/jgrb52455-math-0001.png" title="urn:x-wiley:jgrb:media:jgrb52455:jgrb52455-math-0001" />
               mGal. To demonstrate how a satellite‐only gravity field model can be improved by airborne measurements, a gravity field model for the GEOHALO region has been computed. To compute also an improved regional geoid model, the point mass modeling (PMM) and the remove‐compute‐restore (RCR) technique, using a recent satellite‐only model and residual terrain modeling (RTM), were applied. Finally, GNSS/leveling points have been used to check the quality of the regional point mass model.
            </p>
          </abstract>
          <abstract abstract-type="short">
            <title>Key Points</title>
            <p>
              <list list-type="bullet">
                <list-item>
                  <p>The kinematic vertical accelerations derived from carrier phase measurements are generally better than those from raw Doppler observations</p>
                </list-item>
                <list-item>
                  <p>The accuracy of airborne gravimetry of GEOHALO experiment is about 1 mGal along the tracks from the crossover points</p>
                </list-item>
                <list-item>
                  <p>Chekan‐AM with the HALO jet can help to improve satellite‐only gravity field models, especially in regions with sparse terrestrial data</p>
                </list-item>
              </list>
            </p>
          </abstract>
          <publication_date media_type="online">
            <month>12</month>
            <day>26</day>
            <year>2017</year>
          </publication_date>
          <publication_date media_type="print">
            <month>12</month>
            <year>2017</year>
          </publication_date>
          <publisher_item>
            <identifier id_type="doi">10.1002/2017JB014425</identifier>
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          <archive_locations>
            <archive name="Portico" />
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          <program name="fundref">
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              <assertion name="funder_name">
                National Natural Science Foundation of China
                <assertion name="funder_identifier">https://doi.org/10.13039/501100001809</assertion>
              </assertion>
              <assertion name="award_number">41374023</assertion>
              <assertion name="award_number">41604027</assertion>
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            <assertion name="fundgroup">
              <assertion name="funder_name">
                Natural Science Foundation of Shandong Province
                <assertion name="funder_identifier">https://doi.org/10.13039/501100007129</assertion>
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              <assertion name="award_number">ZR2016DQ01</assertion>
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