Skip to main content
Top

2018 | OriginalPaper | Chapter

Construction of High Resolution Thermocline Grid Data Sets

Authors : Chengquan Hu, Tong Zhang, Jin Wang, Yu Gou, Kai Wang, Hongtao Bai, Yu Jiang

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Thermocline has always been the emphasis of marine research. In this paper, we propose a method to construct high resolution marine grid data sets on the basis of MLP. Data used in the article is from World Ocean Atlas 2013. The experiments show that high resolution data can calculate the depth, thickness and strength of thermocline precisely. The method is vital to thermocline gridding.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Kong, Q., Ma, J., Xia, D.: Numerical and experimental study of the phase change process for underwater glider propelled by ocean thermal energy. Renew. Energy 35(4), 771–779 (2010)CrossRef Kong, Q., Ma, J., Xia, D.: Numerical and experimental study of the phase change process for underwater glider propelled by ocean thermal energy. Renew. Energy 35(4), 771–779 (2010)CrossRef
2.
go back to reference Boyer, T., Mishonov, A.: World Ocean Atlas 2013 Product Documentation. Ocean Climate Laboratory. NODC/NESDIS/NOAA. Silver Spring, MD 20910-3282 (2013) Boyer, T., Mishonov, A.: World Ocean Atlas 2013 Product Documentation. Ocean Climate Laboratory. NODC/NESDIS/NOAA. Silver Spring, MD 20910-3282 (2013)
3.
go back to reference Mohanraj, M., Jayaraj, S., Muraleedharan, C.: Applications of artificial neural networks for thermal analysis of heat exchangers–a review. Int. J. Therm. Sci. 90, 150–172 (2015)CrossRef Mohanraj, M., Jayaraj, S., Muraleedharan, C.: Applications of artificial neural networks for thermal analysis of heat exchangers–a review. Int. J. Therm. Sci. 90, 150–172 (2015)CrossRef
4.
go back to reference Sun, C., Rienecker, M.M., Rosati, A., et al.: Comparison and sensitivity of ODASI ocean analyses in the tropical Pacific. Mon. Weather Rev. 135(6), 2242–2264 (2007)CrossRef Sun, C., Rienecker, M.M., Rosati, A., et al.: Comparison and sensitivity of ODASI ocean analyses in the tropical Pacific. Mon. Weather Rev. 135(6), 2242–2264 (2007)CrossRef
5.
go back to reference Knutti, R., Stocker, T.F., Joos, F., Plattner, G.K.: Probabilistic climate change projections using neural networks. Clim. Dyn. 21, 257–272 (2003)CrossRef Knutti, R., Stocker, T.F., Joos, F., Plattner, G.K.: Probabilistic climate change projections using neural networks. Clim. Dyn. 21, 257–272 (2003)CrossRef
6.
go back to reference Bhaskaran, P.K., Kumar, R.R., Barman, R., et al.: A new approach for deriving temperature and salinity fields in the Indian Ocean using artificial neural networks. J. Mar. Sci. Technol. 15(2), 160–175 (2010)CrossRef Bhaskaran, P.K., Kumar, R.R., Barman, R., et al.: A new approach for deriving temperature and salinity fields in the Indian Ocean using artificial neural networks. J. Mar. Sci. Technol. 15(2), 160–175 (2010)CrossRef
Metadata
Title
Construction of High Resolution Thermocline Grid Data Sets
Authors
Chengquan Hu
Tong Zhang
Jin Wang
Yu Gou
Kai Wang
Hongtao Bai
Yu Jiang
Copyright Year
2018
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-7605-3_58