Multi-year ocean thermal variability

References

• Abraham, J. P., Baringer, M., Bindoff, N. L., Boyer, T., Cheng, L. J. and co-authors. 2013. A review of global ocean temperature observations implications for ocean heat content estimates and climate change. Rev. Geophys. 51, 450–483. doi:10.1002/rog.20022
   Google Scholar
• Bengtsson, L., Hagemann, S. and Hodges, K. I. 2004. Can climate trends be calculated from reanalysis data? J. Geophys. Res. D11, D11111.
   Google Scholar
• Bindoff, N. L. and Mcdougall, T. J. 1994. McDougall diagnosing climate change and ocean ventilation using hydrographic data. J. Phys. Oceanogr. 24, 1137–1152. doi:10.1175/1520-0485(1994)024<1137:DCCAOV>2.0.CO;2
   Google Scholar
• Chan, D., Chan, D., Kent, E. C., Berry, D. I. and Huybers, P. 2019. Correcting datasets leads to more homogeneous early-twentieth-century sea surface warming. Nature 571, 393–397. doi:10.1038/s41586-019-1349-2
   Google Scholar
• Cronin, T. M. 2010. Paleoclimates: Understanding Climate Change Past and Present. Newyork: Columbia University Press, 441 pp.
   Google Scholar
• Fukumori, I., Heimbach, P., Ponte, R. M. and Wunsch, C. 2018. A dynamically-consistent ocean climatology and its temporal variations. Bull. Am. Met. Soc. 99, 2107–2127. doi:10.1175/BAMS-D-17-0213.1
   Google Scholar
• Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P. and co-authors. 2017. ECCO Version 4 Release 3. Online at: ftp://ecco.jpl.nasa.gov/Version4/Release3/doc/v4r3_summary.pdf.
   Google Scholar
• Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P. and co-authors. 2019. ECCO Version 4 Release 4. Online at: https://ecco.jpl.nasa.gov/drive/files/Version4/Release4/doc/v4r4_synopsis.pdf.
   Google Scholar
• Gebbie, G. and Huybers, P. 2019. The Little Ice Age and 20th-century deep Pacific cooling. Science 363, 70–74. doi:10.1126/science.aar8413
   Google Scholar
• Hasselmann K. 1988. PIPs and POPs: The reduction of complex dynamical systems using principal interactions and oscillation pattern. J. Geophys. Res. 93, 11015–11021. doi:10.1029/JD093iD09p11015
   Google Scholar
• Huang, R. X. 2010. Ocean Circulation: Wind-Driven and Thermohaline Processes. Cambridge University Press, Cambridge, xiii, 791 pp.
   Google Scholar
• Hughes, C. W. and Williams, S. D. P. 2010. The color of sea level: importance of spatial variations in spectral shape for assessing the significance of trends. J. Geophys. Res. Oceans. 115. DOI C1004810.1029/2010jc006102
   Google Scholar
• Jolliffe, I. T. 2002. Principal Component Analysis. 2nd ed. Springer-Verlag, New York, 487 pp.
   Google Scholar
• Jolliffe, I. T. and Cadima, J. 2016. Principal component analysis: a review and recent developments. Phil. Trans. Roy. Soc. A 374. DOI. 20150202 10.1098/rsta.2015.0202
   Google Scholar
• Klinger, B. A. and Haine, T. W. N. 2019. Ocean Circulation in Three Dimensions. Cambridge University Press, Cambridge, UK, 466 pp.
   Google Scholar
• LaCasce, J. H. 2017. The prevalence of oceanic surface modes. Geophys. Res. Lett. 44, 11097–110105.
   Google Scholar
• Lawson, C. L. and Hanson, R. J. 1995. Solving Least Squares Problems. SIAM, Philadelphia, 340 pp.
   Google Scholar
• Marshall, J., Adcroft, A., Hill, C., Perelman, L. and Heisey, C. 1997. A finite-volume, incompressible Navier Stokes model for studies of the ocean on parallel computers. J. Geophys. Res. 102, 5753–5766. doi:10.1029/96JC02775
   Google Scholar
• McWilliams, J. C. 2008. The nature and consequences of oceanic eddies. In: Ocean Modeling in an Eddying Regime (ed. M. W. Hecht and H. Hasumi). AGU Monograph, Am. Geophys. Un. Washington, pp. 5–15.
   Google Scholar
• Meyssignac, B., Boyer, T., Zhao, Z., Hakuba, M. Z., Landerer, F. W. and co-authors. 2019. Measuring global ocean heat content to estimate the Earth energy imbalance. Front. Mar. Sci. 6. DOI Unsp 43210.3389/fmars.2019.00432
   Google Scholar
• Pauthenet, E., Roquet, F., Madec, G., Sallee, J. B. and Nerini, D. 2019. The thermohaline modes of the global ocean. J. Phys. Oceangr. 49, 2535–2552. doi:10.1175/JPO-D-19-0120.1
   Google Scholar
• Pedlosky, J. 1996. Ocean Circulation Theory. Springer, Berlin, xi, 453 pp.
   Google Scholar
• Piecuch, C. G., Ponte, R. M., Little, C. M., Buckley, M. W. and Fukumori, I. 2017. Mechanisms underlying recent decadal changes in subpolar North Atlantic Ocean heat content. J. Geophys. Res. Oceans 122, 7181–7197. doi:10.1002/2017JC012845
   Google Scholar
• Sonnewald, M., Wunsch, C. and Heimbach, P. 2019. Unsupervised learning reveals geography of global ocean dynamical regions. Earth Space Sci. 6, 784–794. doi:10.1029/2018EA000519
   Google Scholar
• von Storch, H. and Zwiers, F. W. 2001. Statistical Analysis in Climate Research. Cambridge University Press, Cambridge, UK, 484 pp.
   Google Scholar
• Sverdrup, H. U., Johnson, M. W. and Fleming, R. H. 1942. The Oceans, Their Physics, Chemistry, and General Biology. Prentice-Hall, Inc., New York, 1087 pp.
   Google Scholar
• Vallis, G. K. 2017. Atmospheric and Oceanic Fluid Dynamics: Fundamentals and Large-Scale Circulation. Cambridge University Press, Cambridge UK, 946 pp.
   Google Scholar
• Wang, J., Flierl, G. R., LaCasce, J. H., McClean, J. L. and Mahadevan, A. 2013. Reconstructing the ocean’s interior from surface data. J. Phys. Oceanogr. 43, 1611–1626. doi:10.1175/JPO-D-12-0204.1
   Google Scholar
• Wills, R. C., Schneider, T., Wallace, J. M., Battisti, D. S. and Hartmann, D. L. 2018. Disentangling global warming, multidecadal variability, and El Niño in Pacific temperatures. Geophys. Res. Lett. 45, 2487–2496. doi:10.1002/2017GL076327
   Google Scholar
• Wortham, C. and Wunsch, C. 2014. A multi-dimensional spectral description of ocean variability. J. Phys. Oceanogr. 44, 944–966. doi:10.1175/JPO-D-13-0113.1
   Google Scholar
• Wunsch, C. 2006. Discrete Inverse and State Estimation Problems: With Geophysical Fluid Applications. Cambridge University Press, Cambridge, xi, 371 pp.
   Google Scholar
• Wunsch, C. 2015. Modern Observational Physical Oceanography. Princeton University Press, Princeton, 493 pp.
   Google Scholar
• Wunsch, C. 2016. Global ocean integrals and means, with trend implications. Annu. Rev. Mar. Sci. 8, 1–33. doi:10.1146/annurev-marine-122414-034040
   Google Scholar
• Wunsch, C. 2018. Towards determining uncertainties in global oceanic mean values of heat, salt, and surface elevation heat, salt, and surface elevation. Tellus 70, 1–14. doi:10.1080/16000870.2018.1471911
   Google Scholar
• Xu, Y. S. and Fu, L. L. 2012. The effects of altimeter instrument noise on the estimation of the wavenumber spectrum of sea surface height. J. Phys. Oceanogr. 42, 2229–2233. doi:10.1175/JPO-D-12-0106.1
   Google Scholar
• Zanna, L., Khatiwala, S., Gregory, J. M., Ison, J. and Heimbach, P. 2019. Global reconstruction of historical ocean heat storage and transport. Proc. Natl. Acad. Sci. USA. 116, 1126–1131. doi:10.1073/pnas.1808838115
   Google Scholar