Articles | Volume 11, issue 4
https://doi.org/10.5194/os-11-559-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-11-559-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Reconstructing bottom water temperatures from measurements of temperature and thermal diffusivity in marine sediments
Zentrum für Technomathematik, University of Bremen, Bremen, Germany
FIELAX Gesellschaft für wissenschaftliche Datenverarbeitung mbH, Bremerhaven, Germany
A. Lechleiter
Zentrum für Technomathematik, University of Bremen, Bremen, Germany
C. Müller
FIELAX Gesellschaft für wissenschaftliche Datenverarbeitung mbH, Bremerhaven, Germany
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Related subject area
Approach: Numerical Models | Depth range: Bottom Boundary Layer | Geographical range: All Geographic Regions | Phenomena: Temperature, Salinity and Density Fields
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Cited articles
Beardsmore, G. R. and Cull, J. P.: Crustal Heat Flow: a Guide to Measurement and Modelling, Cambridge University Press, New York, 336 pp., 2001.
Brakelmann, H. and Stammen, J.: Thermal Analysis of Submarine Cable Routes: LSM or FEM?, IEEE-conference PECon, Putra Jaya, Malaysia, 560–565, 2006.
Bullard, E. C.: Heat Flow in South Africa, Proc. R. Soc. Lond. A, 173, 474–502, 1939.
Bundesamt für Seeschifffahrt und Hydrographie: MARNET-Messnetz, available at: http://www.bsh.de/de/Meeresdaten/Beobachtungen/MARNET-Messnetz/index.jsp (last access: 6 June 2014), 2014.
Chouinard, C., Fortier, R., and Mareschal, J.-C.: Recent climate variations in the Subarctic inferred from three borehole temperature profiles in Northern Quebec, Canada, Earth Planet. Sc. Lett., 263, 355–369, 2007.
Clauser, C.: Geothermal energy, in: Landolt-Börnstein, Group VIII: Advanced Materials and Technologies, vol. 1: Energy Technologies, Subvol. C: Renewable Energies, edited by: Heinloth, K., Springer Verlag, Heidelberg-Berlin, 493–604, 2006.
Davis, E. E., Wang, K., Becker, K., and Yashayaev, I.: Deep-ocean temperature variations and implications for errors in sea floor heat flow determinations, J. Geophys. Res., 108, 2034, https://doi.org/10.1029/2001JB001695, 2003.
Dillon, M., Müller, C., and Usbeck, R.: Acquiring thermal conductivity data from shear-resistant sediments, Sea Technol., 53, 57–61, 2012.
Evans, L. C.: Partial Differential Equations, American Mathematical Society, Providence, 663 pp., 2010.
Hamamoto, H., Yamano, M., and Goto, S.: Heat flow measurement in shallow seas through long-term temperature monitoring, Geophys. Res. Lett., 32, L21311, https://doi.org/10.1029/2005GL024138, 2005.
Hanke-Bourgeois, M.: Grundlagen der Numerischen Mathematik und des Wissenschaftlichen Rechnens, Vieweg+Teubner, Wiesbaden, 840 pp., 2009.
Hartmann, A. and Villinger, H.: Inversion of marine heat flow measurements by expansion of the temperature decay function, Geophys. J. Int., 148, 628–636, 2002.
Hyndman, R. D., Davis, E. E., and Wright, J. A.: The measurement of marine geothermal heat flow by a multipenetration probe with digital acoustic telemetry and insitu thermal conductivity, Mar. Geophys. Res., 4, 181–205, 1979.
Jaupart, C. and Mareschal, J.-C.: Heat Generation and Transport in the Earth, Cambridge University Press, New York, 464 pp., 2011.
Lowrie, W.: Fundamentals of Geophysics, Cambridge University Press, New York, 381 pp., 2007.
Müller, C, Miesner, F., Usbeck, R., and Schmitz, T.: 2 K-criterion: measuring and modelling temperatures and thermal conductivities/diffusivities in shallow marine sediments, Conference on Maritime Energy 2013, TUHH, Hamburg, 475–490, 2013.
Omstedt, A. and Axel, L. B.: Modelling the seasonal, interannual, and long-term variations of salinity and temperature in the Baltic proper, Tellus A, 50, 637–652, 1998.
Rhode, J., Tett, P., and Wulff, F.: The Baltic and North Seas: a regional review of some important physical-chemical-biological interaction processes, in: The Seas, vol. 14, chap. 26, edited by: Robinson, A. R. and Brink, K. H., Harvard University Press, 1029–1071, 2004.
Ribergaard, M. H.: Oceanographic Investigations off West Greenland 2011, Danish Meteorological Institute Centre for Ocean and Ice, Copenhagen, 2011.
Rieder, A.: On the regularization of nonlinear ill-posed problems via inexact Newton iterations, Inverse Probl., 15, 309–327, 1999a.
Rieder, A.: On convergence rates of inexact Newton regularizations, Numer. Math., 88, 347–365, 1999b.
Rieder, A.: Keine Probleme mit Inversen Problemen: Eine Einführung in stabile Lösungen, Vieweg+Teubner Verlag, Wiesbaden, 2003.
Shen, P. Y. and Beck, A. E.: Least Squares Inversion of Borehole Temperature Measurements in Functional Space, J. Geophys. Res., 96, 19 965–19 979, 1991.
The International Heat Flow Commission: Global Heat Flow Database, available at: http://www.heatflow.und.edu/index2.html (last access: 23 July 2014), 2014.
Wang, K. and Beck, A. E.: Heat flow measurement in lacrustine or oceanic sediments without recording bottom temperature variations, Geophys. Res., 92, 12837–12845, 1987.
Short summary
Temperature fields in marine sediments are controlled by the geothermal steady state heat flow and the bottom water temperature. Thus, the current sediments' temperature field stores the history of bottom water temperature variation. The aim of this work is the inverse modeling of the bottom water temperature variation in the last year from instantaneous measurements of the depth-dependent temperature and the thermal diffusivity.
Temperature fields in marine sediments are controlled by the geothermal steady state heat flow...