<?xml version="1.0" encoding="UTF-8"?>
<doi_records>
  <doi_record owner="10.5194" timestamp="2025-02-01 17:26:28">
    <crossref>
      <journal>
        <journal_metadata language="en" reference_distribution_opts="any">
          <full_title>Annales Geophysicae</full_title>
          <abbrev_title>Ann. Geophys.</abbrev_title>
          <issn media_type="electronic">1432-0576</issn>
        </journal_metadata>
        <journal_issue>
          <publication_date media_type="online">
            <year>2018</year>
          </publication_date>
          <journal_volume>
            <volume>36</volume>
          </journal_volume>
          <issue>4</issue>
        </journal_issue>
        <journal_article publication_type="full_text">
          <titles>
            <title>Estimating ocean tide model uncertainties for electromagnetic inversion studies</title>
          </titles>
          <contributors>
            <person_name sequence="first" contributor_role="author">
              <given_name>Jan</given_name>
              <surname>Saynisch</surname>
              <ORCID>https://orcid.org/0000-0001-9619-0336</ORCID>
            </person_name>
            <person_name sequence="additional" contributor_role="author">
              <given_name>Christopher</given_name>
              <surname>Irrgang</surname>
              <ORCID>https://orcid.org/0000-0001-8274-1678</ORCID>
            </person_name>
            <person_name sequence="additional" contributor_role="author">
              <given_name>Maik</given_name>
              <surname>Thomas</surname>
            </person_name>
          </contributors>
          <abstract>
            <p><![CDATA[Abstract. Over a decade ago the semidiurnal lunar M2 ocean tide was identified in CHAMP
satellite magnetometer data. Since then and especially since the launch of
the satellite mission Swarm, electromagnetic tidal observations from
satellites are increasingly used to infer electric properties of the upper
mantle. In most of these inversions, ocean tidal models are used to generate
oceanic tidal electromagnetic signals via electromagnetic induction. The
modeled signals are subsequently compared to the satellite observations.
During the inversion, since the tidal models are considered error free,
discrepancies between forward models and observations are projected only onto
the induction part of the modeling, e.g., Earth's conductivity distribution.
Our study analyzes uncertainties in oceanic tidal models from an
electromagnetic point of view. Velocities from hydrodynamic and assimilative
tidal models are converted into tidal electromagnetic signals and compared.
Respective uncertainties are estimated. The studies main goal is to provide
errors for electromagnetic inversion studies. At satellite height, the
differences between the hydrodynamic tidal models are found to reach up to
2 nT, i.e., over 100 % of the local M2 signal. Assimilative tidal models
show smaller differences of up to 0.1 nT, which in some locations still
corresponds to over 30 % of the M2 signal.]]></p>
          </abstract>
          <publication_date media_type="online">
            <month>07</month>
            <day>17</day>
            <year>2018</year>
          </publication_date>
          <pages>
            <first_page>1009</first_page>
            <last_page>1014</last_page>
          </pages>
          <program name="AccessIndicators">
            <free_to_read start_date="2018-07-17" />
            <license_ref applies_to="vor" start_date="2018-07-17">https://creativecommons.org/licenses/by/4.0/</license_ref>
          </program>
          <program name="relations">
            <related_item>
              <description>referee comment 1 to the article</description>
              <inter_work_relation identifier-type="doi" relationship-type="hasReview">10.5194/angeo-2018-27-RC1</inter_work_relation>
            </related_item>
            <related_item>
              <description>author comment 1 to the article</description>
              <inter_work_relation identifier-type="doi" relationship-type="hasReview">10.5194/angeo-2018-27-AC1</inter_work_relation>
            </related_item>
            <related_item>
              <description>author comment 3 to the article</description>
              <inter_work_relation identifier-type="doi" relationship-type="hasReview">10.5194/angeo-2018-27-AC3</inter_work_relation>
            </related_item>
            <related_item>
              <description>referee comment 2 to the article</description>
              <inter_work_relation identifier-type="doi" relationship-type="hasReview">10.5194/angeo-2018-27-RC2</inter_work_relation>
            </related_item>
            <related_item>
              <description>referee comment 3 to the article</description>
              <inter_work_relation identifier-type="doi" relationship-type="hasReview">10.5194/angeo-2018-27-RC3</inter_work_relation>
            </related_item>
            <related_item>
              <description>author comment 2 to the article</description>
              <inter_work_relation identifier-type="doi" relationship-type="hasReview">10.5194/angeo-2018-27-AC2</inter_work_relation>
            </related_item>
            <related_item>
              <description>author comment 2 to the article</description>
              <inter_work_relation identifier-type="doi" relationship-type="hasReview">10.5194/angeo-2018-27-AC2</inter_work_relation>
            </related_item>
            <related_item>
              <description>author comment 4 to the article</description>
              <inter_work_relation identifier-type="doi" relationship-type="hasReview">10.5194/angeo-2018-27-AC4</inter_work_relation>
            </related_item>
            <related_item>
              <intra_work_relation relationship-type="hasPreprint" identifier-type="doi">10.5194/angeo-2018-27</intra_work_relation>
            </related_item>
          </program>
          <doi_data>
            <doi>10.5194/angeo-36-1009-2018</doi>
            <resource>https://angeo.copernicus.org/articles/36/1009/2018/</resource>
            <collection property="crawler-based">
              <item crawler="iParadigms">
                <resource>https://angeo.copernicus.org/articles/36/1009/2018/angeo-36-1009-2018.pdf</resource>
              </item>
            </collection>
          </doi_data>
          <citation_list>
            <citation key="ref1">
              <doi provider="crossref">10.1029/2001GL013246</doi>
              <unstructured_citation>Baringer, M. O. and Larsen, J. C.: Sixteen years of Florida Current transport
at 27 degrees N, Geophys. Res. Lett., 28, 3179–3182, 2001. a</unstructured_citation>
            </citation>
            <citation key="ref2">
              <doi provider="crossref">10.5194/os-9-1-2013</doi>
              <unstructured_citation>Cabanes, C., Grouazel, A., von Schuckmann, K., Hamon, M., Turpin, V.,
Coatanoan, C., Paris, F., Guinehut, S., Boone, C., Ferry, N., de Boyer
Montégut, C., Carval, T., Reverdin, G., Pouliquen, S., and Le Traon,
P.-Y.: The CORA dataset: validation and diagnostics of in-situ ocean
temperature and salinity measurements, Ocean Sci., 9, 1–18,
https://doi.org/10.5194/os-9-1-2013, 2013. a</unstructured_citation>
            </citation>
            <citation key="ref3">
              <unstructured_citation>DGFI-Report No.89: Savcenko R, B. W.: EOT11a – empirical ocean tide model
from
multi-mission satellite altimetry, Tech. Rep., DGFI-TUM, 89, 1–49, 2012. a</unstructured_citation>
            </citation>
            <citation key="ref4">
              <doi provider="crossref">10.1029/2006JC004035</doi>
              <unstructured_citation>Dobslaw, H. and Thomas, M.: Simulation and observation of global ocean mass
anomalies, J. Geophys. Res.-Ocean., 112, C05040, https://doi.org/10.1029/2006JC004035, 2007. a</unstructured_citation>
            </citation>
            <citation key="ref5">
              <doi provider="crossref">10.1175/1520-0426(2002)019&lt;0183:EIMOBO&gt;2.0.CO;2</doi>
              <unstructured_citation>Egbert, G. D. and Erofeeva, S. Y.: Efficient inverse modeling of barotropic
ocean tides, J. Atmos. Ocean. Tech., 19, 183–204, 2002. a, b, c</unstructured_citation>
            </citation>
            <citation key="ref6">
              <doi provider="crossref">10.1046/j.1365-246X.2003.01906.x</doi>
              <unstructured_citation>Everett, M. E., Constable, S., and Constable, C. G.: Effects of near-surface
conductance on global satellite induction responses, Geophys. J. Int., 153,
277–286, 2003. a</unstructured_citation>
            </citation>
            <citation key="ref7">
              <doi provider="crossref">10.1186/BF03351933</doi>
              <unstructured_citation>Friis-Christensen, E., Lühr, H., and Hulot, G.: Swarm: A constellation to
study the Earth's magnetic field, Earth Planet. Space, 58, 351–358, 2006. a</unstructured_citation>
            </citation>
            <citation key="ref8">
              <doi provider="crossref">10.1007/978-1-4419-7955-1_6</doi>
              <unstructured_citation>Gillet, N., Lesur, V., and Olsen, N.: Geomagnetic core field secular variation
models, Space Sci. Rev., 155, 129–145, 2010. a</unstructured_citation>
            </citation>
            <citation key="ref9">
              <doi provider="crossref">10.1126/sciadv.1600798</doi>
              <unstructured_citation>Grayver, A. V., Schnepf, N. R., Kuvshinov, A. V., Sabaka, T. J., Manoj, C., and
Olsen, N.: Satellite tidal magnetic signals constrain oceanic
lithosphere-asthenosphere boundary, Sci. Adv., 2, 1–8, 2016. a, b, c, d, e, f</unstructured_citation>
            </citation>
            <citation key="ref10">
              <doi provider="crossref">10.1002/2017GL073446</doi>
              <unstructured_citation>Grayver, A. V., Munch, F. D., Kuvshinov, A. V., Khan, A., Sabaka, T. J., and
Tøffner-Clausen, L.: Joint inversion of satellite-detected tidal and
magnetospheric signals constrains electrical conductivity and water content
of the upper mantle and transition zone, Geophys. Res. Lett., 44, 6074–6081, 2017. a, b, c</unstructured_citation>
            </citation>
            <citation key="ref11">
              <doi provider="crossref">10.1186/s40623-017-0769-1</doi>
              <unstructured_citation>Guzavina, M., Grayver, A., and Kuvshinov, A.: Do ocean tidal signals influence
recovery of solar quiet variations?, Earth Planet. Space, 70, 1–15, 2018. a</unstructured_citation>
            </citation>
            <citation key="ref12">
              <doi provider="crossref">10.1002/2016JC011633</doi>
              <unstructured_citation>Irrgang, C., Saynisch, J., and Thomas, M.: Ensemble simulations of the magnetic
field induced by global ocean circulation: Estimating the uncertainty, J.
Geophys. Res, 121, 1866–1880, 2016. a</unstructured_citation>
            </citation>
            <citation key="ref13">
              <doi provider="crossref">10.1029/2005GL025043</doi>
              <unstructured_citation>Kuvshinov, A., Junge, A., and Utada, H.: 3-D modelling the electric field due
to ocean tidal flow and comparison with observations, Geophys. Res. Lett.,
33, 1–5, 2006. a, b, c</unstructured_citation>
            </citation>
            <citation key="ref14">
              <doi provider="crossref">10.1007/s10712-008-9045-z</doi>
              <unstructured_citation>Kuvshinov, A. V.: 3-D global induction in the oceans and solid Earth: Recent
progress in modeling magnetic and electric fields from sources of
magnetospheric, ionospheric and oceanic origin, Surv. Geophys., 29,
139–186, 2008. a, b, c, d</unstructured_citation>
            </citation>
            <citation key="ref15">
              <doi provider="crossref">10.1111/j.1365-246X.1968.tb07135.x</doi>
              <unstructured_citation>Larsen, J. C.: Electric and magnetic fields induced by deep sea tides,
Geophys. J. Roy. Astr. S., 16, 47–70, 1968. a</unstructured_citation>
            </citation>
            <citation key="ref16">
              <doi provider="crossref">10.1109/48.90893</doi>
              <unstructured_citation>Larsen, J. C.: Transport measurements from in-service undersea telephone
cables, IEEE J. Ocean. Eng., 16, 313–318, 1991. a</unstructured_citation>
            </citation>
            <citation key="ref17">
              <unstructured_citation>Laske, G. and Masters, G.: A global digital map of sediment thickness, Eos
Trans. AGU, 78, F483, Fall Meet. Suppl., 1997. a</unstructured_citation>
            </citation>
            <citation key="ref18">
              <doi provider="crossref">10.1111/j.1365-246X.2008.03724.x</doi>
              <unstructured_citation>Lesur, V., Wardinski, I., Rother, M., and Mandea, M.: GRIMM: The GFZ reference
internal magnetic model based on vector satellite and observatory data,
Geophys. J. Int., 173, 382–394, 2008. a</unstructured_citation>
            </citation>
            <citation key="ref19">
              <doi provider="crossref">10.1093/gji/ggu090</doi>
              <unstructured_citation>Love, J. J. and Rigler, E. J.: The magnetic tides of Honolulu, Geophys. J.
Int., 197, 1335–1353, 2014. a</unstructured_citation>
            </citation>
            <citation key="ref20">
              <doi provider="crossref">10.1007/s10236-006-0086-x</doi>
              <unstructured_citation>Lyard, F., Lefevre, F., Letellier, T., and Francis, O.: Modelling the global
ocean tides: modern insights from FES2004, Ocean Dynam., 56, 394–415,
2006. a, b, c</unstructured_citation>
            </citation>
            <citation key="ref21">
              <doi provider="crossref">10.1029/2004GL020090</doi>
              <unstructured_citation>Maus, S. and Kuvshinov, A.: Ocean tidal signals in observatory and satellite
magnetic measurements, Geophys. Res. Lett., 31, 1–4, 2004. a</unstructured_citation>
            </citation>
            <citation key="ref22">
              <doi provider="crossref">10.1007/s10236-013-0679-0</doi>
              <unstructured_citation>Mueller, M., Cherniawsky, J. Y., Foreman, M. G. G., and von Storch, J.-S.:
Seasonal variation of the M (2) tide, Ocean Dynam., 64, 159–177,
2014. a</unstructured_citation>
            </citation>
            <citation key="ref23">
              <doi provider="crossref">10.1029/2012GL053320</doi>
              <unstructured_citation>Müller, M., Cherniawsky, J., Foreman, M., and von Storch, J. S.: Global map
of M2 internal tide and its seasonal variability from high resolution ocean
circulation and tide modelling, Geophys. Res. Lett., 39, L19607, https://doi.org/10.1029/2012GL053320, 2012. a, b</unstructured_citation>
            </citation>
            <citation key="ref24">
              <doi provider="crossref">10.1093/gji/ggv407</doi>
              <unstructured_citation>Püthe, C., Kuvshinov, A., Khan, A., and Olsen, N.: A new model of Earth's
radial conductivity structure derived from over 10 yr of satellite and
observatory magnetic data, Geophys. J. Int., 203, 1864–1872, 2015. a</unstructured_citation>
            </citation>
            <citation key="ref25">
              <doi provider="crossref">10.1175/JPO-D-16-0197.1</doi>
              <unstructured_citation>Richet, O., Muller, C., and Chomaz, J. M.: Impact of a Mean Current on the
Internal Tide Energy Dissipation at the Critical Latitude, J. Phys.
Oceanogr., 47, 1457–1472, 2017. a</unstructured_citation>
            </citation>
            <citation key="ref26">
              <doi provider="crossref">10.1093/gji/ggu493</doi>
              <unstructured_citation>Sabaka, T. J., Olsen, N., Tyler, R. H., and Kuvshinov, A.: CM5, a pre-Swarm
comprehensive geomagnetic field model derived from over 12 yr of CHAMP,
Orsted, SAC-C and observatory data, Geophys. J. Int., 200, 1596–1626,
2015. a, b</unstructured_citation>
            </citation>
            <citation key="ref27">
              <doi provider="crossref">10.1002/2016GL068180</doi>
              <unstructured_citation>Sabaka, T. J., Tyler, R. H., and Olsen, N.: Extracting ocean-generated tidal
magnetic signals from Swarm data through satellite gradiometry, Geophys. Res.
Lett., 43, 3237–3245, 2016. a</unstructured_citation>
            </citation>
            <citation key="ref28">
              <doi provider="crossref">10.1029/JC076i015p03476</doi>
              <unstructured_citation>Sanford, T. B.: Motionally induced electric and magnetic fields in the sea, J.
Geophys. Res., 76, 3476–3492, 1971. a</unstructured_citation>
            </citation>
            <citation key="ref29">
              <doi provider="crossref">10.1002/2016JC012027</doi>
              <unstructured_citation>Saynisch, J., Petereit, J., Irrgang, C., Kuvshinov, A., and Thomas, M.: Impact
of climate variability on the tidal oceanic magnetic signal – a model based
sensitivity study, J. Geophys. Res.-Ocean., 121, 5931–5941, 2016.  a, b</unstructured_citation>
            </citation>
            <citation key="ref30">
              <doi provider="crossref">10.1002/2017GL073683</doi>
              <unstructured_citation>Saynisch, J., Petereit, J., Irrgang, C., and Thomas, M.: Impact of oceanic
warming on electromagnetic oceanic tidal signals: A CMIP5 climate model-based
sensitivity study, Geophys. Res. Lett., 44, 4994–5000, 2017. a, b</unstructured_citation>
            </citation>
            <citation key="ref31">
              <doi provider="crossref">10.1093/gji/ggu190</doi>
              <unstructured_citation>Schnepf, N. R., Manoj, C., Kuvshinov, A., Toh, H., and Maus, S.: Tidal signals
in ocean-bottom magnetic measurements of the Northwestern Pacific:
observation versus prediction, Geophys. J. Int., 198, 1096–1110,
2014. a, b, c, d</unstructured_citation>
            </citation>
            <citation key="ref32">
              <doi provider="crossref">10.1002/2015GL063540</doi>
              <unstructured_citation>Schnepf, N. R., Kuvshinov, A., and Sabaka, T.: Can we probe the conductivity
of the lithosphere and upper mantle using satellite tidal magnetic signals?,
Geophys. Res. Lett., 42, 3233–3239, 2015. a, b</unstructured_citation>
            </citation>
            <citation key="ref33">
              <doi provider="crossref">10.1002/2014RG000450</doi>
              <unstructured_citation>Stammer, D., Ray, R. D., Andersen, O. B., Arbic, B. K., Bosch, W., Carrere, L.,
Cheng, Y., Chinn, D. S., Dushaw, B. D., Egbert, G. D., Erofeeva, S. Y., Fok,
H. S., Green, J. A. M., Griffiths, S., King, M. A., Lapin, V., Lemoine,
F. G., Luthcke, S. B., Lyard, F., Morison, J., Mueller, M., Padman, L.,
Richman, J. G., Shriver, J. F., Shum, C. K., Taguchi, E., and Yi, Y.:
Accuracy assessment of global barotropic ocean tide models, Rev.
Geophys., 52, 243–282, 2014. a, b, c, d, e, f, g, h, i</unstructured_citation>
            </citation>
            <citation key="ref34">
              <doi provider="crossref">10.1002/2013JC009766</doi>
              <unstructured_citation>Taguchi, E., Stammer, D., and Zahel, W.: Inferring deep ocean tidal energy
dissipation from the global high-resolution data-assimilative HAMTIDE model,
J. Geophys. Res.-Ocean., 119, 4573–4592, 2014. a, b, c</unstructured_citation>
            </citation>
            <citation key="ref35">
              <doi provider="crossref">10.1186/s40623-015-0228-9</doi>
              <unstructured_citation>Thébault, E., Finlay, C. C., Beggan, C. D., Alken, P., Aubert, J., Barrois,
O., Bertrand, F., Bondar, T., Boness, A., Brocco, L., Canet, E., Chambodut,
A., Chulliat, A., Coïsson, P., Civet, F., Du, A., Fournier, A., Fratter,
I., Gillet, N., Hamilton, B., Hamoudi, M., Hulot, G., Jager, T., Korte, M.,
Kuang, W., Lalanne, X., Langlais, B., Léger, J., Lesur, V., Lowes, F. J.,
Macmillan, S., Mandea, M., Manoj, C., Maus, S., Olsen, N., Petrov, V.,
Ridley, V., Rother, M., Sabaka, T. J., Saturnino, D., Schachtschneider, R.,
Sirol, O., Tangborn, A., Thomson, A., Tøffner-Clausen, L., Vigneron, P.,
Wardinski, I., and Zvereva, T.: International Geomagnetic Reference Field:
the 12th generation, Earth Planet. Space, 67, 1–19, 2015. a, b</unstructured_citation>
            </citation>
            <citation key="ref36">
              <doi provider="crossref">10.1029/2000GL012234</doi>
              <unstructured_citation>Thomas, M., Sündermann, J., and Maier-Reimer, E.: Consideration of ocean
tides in an OGCM and impacts on subseasonal to decadal polar motion
excitation, Geophys. Res. Lett., 28, 2457–2460, 2001. a, b</unstructured_citation>
            </citation>
            <citation key="ref37">
              <doi provider="crossref">10.1029/GL013i006p00525</doi>
              <unstructured_citation>Thomson, D. J., Lanzerotti, L. J., Medford, L. V., Maclennan, C. G., Meloni,
A., and Gregori, G. P.: Study of tidal periodicities using a transatlantic
telecommunications cable, Geophys. Res. Lett., 13, 525–528, 1986. a</unstructured_citation>
            </citation>
            <citation key="ref38">
              <doi provider="crossref">10.1126/science.1078074</doi>
              <unstructured_citation>Tyler, R. H., Maus, S., and Luhr, H.: Satellite observations of magnetic
fields due to ocean tidal flow, Science, 299, 239–241, 2003. a</unstructured_citation>
            </citation>
          </citation_list>
        </journal_article>
      </journal>
    </crossref>
  </doi_record>
</doi_records>