Abstract
The study of ocean bottom pressure (OBP) is useful for understanding the variability that contributes to sea level change. Previous studies have reported the strong OBP anomalies in the Southern Ocean on different timescales. In this study, the characteristic and mechanisms of the energetic interannual OBP variability in the southeastern Pacific are examined using 14 years of Gravity Recovery and Climate Experiment (GRACE) data. It is found that the OBP anomalies are positive (negative) related to the convergence (divergence) of Ekman transport forced by local winds variability. Such local winds are attributed to atmospheric teleconnections, particularly the second Pacific-South American (PSA2). The sea level pressure (SLP) anomalies associated with the positive phase of PSA2 shows a wavenumber-3 structure in the high latitude of South Pacific, which benefits a strong and persistent anticyclone over the southeastern Pacific, leading to the positive OBP anomalies there. Moreover, El Niño–Southern Oscillation (ENSO) plays an important role in the concurrent OBP variability during austral spring (August–November) and leads the austral autumn (March–June) OBP variability by 1 season. These results highlight the influence of atmospheric teleconnections on interannual OBP variability and are validated by a mass conservation (non-Boussinesq) ocean model, which is expected to not only better understanding of OBP mechanisms in a longer time, but also predict OBP variation in the global scale.












Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.Data availability
Enquiries about data availability should be directed to the authors.
References
Bergmann I, Dobslaw H (2012) Short-term transport variability of the Antarctic Circumpolar Current from satellite gravity observations. J Geophys Res: Oceans. https://doi.org/10.1029/2012jc007872
Bjerknes J (1969) Atmospheric teleconnections from the equatorial pacific1. Mon Weather Rev. https://doi.org/10.1175/1520-0493(1969)0972.3.CO;2
Boening C, Lee T, Zlotnicki V (2011) A record-high ocean bottom pressure in the South Pacific observed by GRACE. Geophys Res Lett. https://doi.org/10.1029/2010gl046013
Boening C, Willis JK, Landerer FW, Nerem RS, Fasullo J (2012) The 2011 La Niña: so strong, the oceans fell. Geophys Res Lett. https://doi.org/10.1029/2012gl053055
Cabanes C, Huck T, Alain CDV (2006) Contributions of wind forcing and surface heating to interannual sea level variations in the Atlantic Ocean. J Phys Oceanogr 36:1739–1750. https://doi.org/10.1175/JPO2935.1
Cazenave A (2004) Present-day sea level change: observations and causes. Rev Geophys. https://doi.org/10.1029/2003rg000139
Cazenave A, Henry O, Munier S et al (2012) Estimating ENSO influence on the Global Mean Sea Level, 1993–2010. Mar Geod 35:82–97. https://doi.org/10.1080/01490419.2012.718209
Chambers DP (2006a) Evaluation of new GRACE time-variable gravity data over the ocean. Geophys Res Lett. https://doi.org/10.1029/2006gl027296
Chambers DP (2006b) Observing seasonal steric sea level variations with GRACE and satellite altimetry. J Geophys Res. https://doi.org/10.1029/2005jc002914
Chambers DP (2011) ENSO-correlated fluctuations in ocean bottom pressure and wind-stress curl in the North Pacific. Ocean Sci 7:685–692. https://doi.org/10.5194/os-7-685-2011
Chambers DP, Wahr J, Nerem RS (2004) Preliminary observations of global ocean mass variations with GRACE. Geophys Res Lett. https://doi.org/10.1029/2004gl020461
Chambers DP, Cazenave A, Champollion N et al (2017) Evaluation of the global mean sea level budget between 1993 and 2014. Surv Geophys 38:309–327. https://doi.org/10.1007/s10712-016-9381-3
Chaudhuri AH, Ponte RM, Forget G, Heimbach P (2013) A comparison of atmospheric reanalysis surface products over the ocean and implications for uncertainties in air–sea boundary forcing. J Clim 26:153–170. https://doi.org/10.1175/JCLI-D-12-00090.1
Cheng X, Li L, Du Y, Wang J, Huang R (2013) Mass-induced sea level change in the northwestern North Pacific and its contribution to total sea level change. Geophys Res Lett 40:3975–3980. https://doi.org/10.1002/grl.50748
Cheng X, Ou N, Chen J, Huang R (2021) On the seasonal variations of ocean bottom pressure in the world oceans. Geosci Lett 8:1–12. https://doi.org/10.1186/s40562-021-00199-3
Fujimoto H (2003) Ocean bottom pressure variations in the southeastern Pacific following the 1997–98 El Niño event. Geophys Res Lett. https://doi.org/10.1029/2002gl016677
Gill AE, Niller PP (1973) The theory of the seasonal variability in the ocean. Deep-Sea Res Oceanogr Abstr 20:141–177. https://doi.org/10.1016/0011-7471(73)90049-1
Horel JD, Wallace JM (1981) Planetary-scale atmospheric phenomena associated with the southern oscillation. Mon Weather Rev 109:813–829. https://doi.org/10.1175/1520-0493(1981)109%3c0813:PSAPAW%3e2.0.CO;2
Huang R, Jin X (2002) Sea surface elevation and bottom pressure anomalies due to thermohaline forcing. J Phys Oceanogr 32:2131–2150. https://doi.org/10.1175/1520-0485(2002)032%3c2131:SSEABP%3e2.0.CO;2
Huang R, Jin X, Zhang X (2001) An oceanic general circulation model in pressure coordinates. Adv Atmos Sci 18:1–22. https://doi.org/10.1007/s00376-001-0001-9
Huang B, Thorne PW, Banzon VF, Boyer T, Zhang HM (2017) Extended reconstructed sea surface temperature, version 5 (ERSSTv5): upgrades, validations, and intercomparisons. J Clim. https://doi.org/10.1175/JCLI-D-16-0836.1
Johnson GC, Chambers DP (2013) Ocean bottom pressure seasonal cycles and decadal trends from GRACE Release-05: ocean circulation implications. J Geophys Res: Oceans 118:4228–4240. https://doi.org/10.1002/jgrc.20307
Kalnay E, Kanamitsu M, Kistler R et al (1996) The NCEP/NCAR 40-year reanalysis project. Bull Amer Meteorol Soc 77:437–471. https://doi.org/10.1175/1520-0477(1996)077%3c0437:TNYRP%3e2.0.CO;2
Lee T, Hobbs W, Willis J, Halkides D, Fukumori I, Armstrong E, Hayashi A, Liu WT, Patzert W, Wang O (2010) Record warming in the South Pacific and western Antarctica associated with the strong central-Pacific El Nino in 2009–10. Geophys Res Lett 37:L19704. https://doi.org/10.1029/2010GL044865
Lou J, O’Kane TJ, Holbrook NJ (2021) Linking the atmospheric Pacific-South American mode with oceanic variability and predictability. Commun Earth Environ 2:1–8. https://doi.org/10.1038/s43247-021-00295-4
Makowski JK, Chambers DP, Bonin JA (2015) Using ocean bottom pressure from the gravity recovery and climate experiment (GRACE) to estimate transport variability in the southern Indian Ocean. J Geophys Res: Oceans 120:4245–4259. https://doi.org/10.1002/2014jc010575
Mo KC (2000) Relationships between low-frequency variability in the southern hemisphere and sea surface temperature anomalies. J Clim 13:3599–3610. https://doi.org/10.1175/1520-0442(2000)0132.0.CO;2
Piecuch CG, Quinn KJ, Ponte RM (2013) Satellite-derived interannual ocean bottom pressure variability and its relation to sea level. Geophys Res Lett 40:3106–3110. https://doi.org/10.1002/grl.50549
Piecuch CG, Fukumori I, Ponte RM, Wang O (2015) Vertical structure of ocean pressure variations with application to satellite-gravimetric observations. J Oceanic Atm Tech 32:603–613. https://doi.org/10.1175/JTECH-D-14-00156.1
Ponte RM (1999) A preliminary model study of the large-scale seasonal cycle in bottom pressure over the global ocean. J Geophys Res: Oceans 104:1289–1300. https://doi.org/10.1029/1998jc900028
Ponte RM, Piecuch CG (2014) Interannual bottom pressure signals in the Australian-Antarctic and Bellingshausen Basins. J Phys Oceanogr 44:1456–1465. https://doi.org/10.1175/jpo-d-13-0223.1
Qin J, Ding R, Wu Z, Li J, Zhao S (2017) Relationships between the extratropical ENSO precursor and leading modes of atmospheric variability in the Southern Hemisphere. Adv Atmos Sci 34:360–370. https://doi.org/10.1007/s00376-016-6016-z
Qin J, Zhou L, Ding R, Li J (2018) Influence of South Pacific quadrapole on austral winter precipitation over the SPCZ. Environ Res Lett. https://doi.org/10.1088/1748-9326/aadd84
Quinn KJ, Ponte RM (2012) High frequency barotropic ocean variability observed by GRACE and satellite altimetry. Geophys Res Lett. https://doi.org/10.1029/2012gl051301
Ren D, Leslie LM, Lynch MJ (2013) Verification of model simulated mass balance, flow fields and tabular calving events of the Antarctic ice sheet against remotely sensed observations. Clim Dyn 40:2617–2636. https://doi.org/10.1007/s00382-012-1464-3
Simpson MJR, Breili K, Kierulf HP (2014) Estimates of twenty-first century sea-level changes for Norway. Clim Dyn 42:1405–1424. https://doi.org/10.1007/s00382-013-1900-z
Song YT, Zlotnicki V (2008) Subpolar ocean bottom pressure oscillation and its links to the tropical ENSO. Int J Remote Sens 29:6091–6107. https://doi.org/10.1080/01431160802175538
Srinivasu U, Ravichandran M, Han W et al (2017) Causes for the reversal of North Indian Ocean decadal sea level trend in recent two decades. Clim Dyn 49:3887–3904. https://doi.org/10.1007/s00382-017-3551-y
Stepanov VN, Hughes CW (2006) Propagation of signals in basin-scale ocean bottom pressure from a barotropic model. J Geophys Res. https://doi.org/10.1029/2005jc003450
Storto A, Masina S, Balmaseda M et al (2015) Steric sea level variability (1993–2010) in an ensemble of ocean reanalyses and objective analyses. Clim Dyn 49:709–729. https://doi.org/10.1007/s00382-015-2554-9
Tapley BD, Bettadpur S, Ries JC, Thompson PF, Watkins MM (2004) GRACE measurements of mass variability in the Earth system. Science 305:503–505. https://doi.org/10.1126/science.1099192
Velicogna I (2009) Increasing rates of ice mass loss from the Greenland and Antarctic ice sheets revealed by GRACE. Geophys Res Lett. https://doi.org/10.1029/2009gl040222
Volkov DL, Landerer FW (2015) Internal and external forcing of sea level variability in the Black Sea. Clim Dyn 45:2633–2646. https://doi.org/10.1007/s00382-015-2498-0
Willis JK, Chambers DP, Nerem RS (2008) Assessing the globally averaged sea level budget on seasonal to interannual timescales. J Geophys Res. https://doi.org/10.1029/2007jc004517
Yu J-Y, Paek H, Saltzman ES, Lee T (2015) The early 1990s change in ENSO–PSA–SAM relationships and its impact on southern hemisphere climate. J Clim 28:9393–9408. https://doi.org/10.1175/jcli-d-15-0335.1
Zhang Y, Lin Y, Huang R (2014) A climatic dataset of ocean vertical turbulent mixing coefficient based on real energy sources. Sci China: Earth Sci 57:2435–2446. https://doi.org/10.1007/s11430-014-4904-6
Zlotnicki V, Wahr J, Fukumori I, Song YT (2007) Antarctic circumpolar current transport variability during 2003–05 from GRACE. J Phys Oceanogr 37:230–244. https://doi.org/10.1175/jpo3009.1
Acknowledgements
This research was supported by the National Key R&D Program of China (2018YFA0605702), Natural Science Foundation of China (Grant nos. 41522601, 41876002, 41876224). All reanalysis products and observation data for this paper are properly cited and referred to in the reference list. ERSST are available at https://psl.noaa.gov/data/gridded/data.noaa.ersst.v5.html. NCEP-NCAR reanalysis are available at https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html. GRACE OBP products were made available by the NASA MEASURES Program, and are available at http://GRACE.jpl.nasa.gov.
Funding
This research was supported by the National Key R&D Program of China (2018YFA0605702), Natural Science Foundation of China (Grant nos. 41522601, 41876002, 41876224).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors have not disclosed any competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Qin, J., Cheng, X., Yang, C. et al. Mechanism of interannual variability of ocean bottom pressure in the South Pacific. Clim Dyn 59, 2103–2116 (2022). https://doi.org/10.1007/s00382-022-06198-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00382-022-06198-0


