Articles | Volume 20, issue 5
https://doi.org/10.5194/os-20-1351-2024
https://doi.org/10.5194/os-20-1351-2024
Research article
 | 
28 Oct 2024
Research article |  | 28 Oct 2024

North Atlantic Subtropical Mode Water properties: intrinsic and atmospherically forced interannual variability

Olivier Narinc, Thierry Penduff, Guillaume Maze, Stéphanie Leroux, and Jean-Marc Molines

Related authors

Quantifying Variability in Lagrangian Particle Dispersal in Ocean Ensemble Simulations: an Information Theory Approach
Claudio M. Pierard, Siren Rühs, Laura Gómez-Navarro, Michael C. Denes, Florian Meirer, Thierry Penduff, and Erik van Sebille
EGUsphere, https://doi.org/10.5194/egusphere-2024-3847,https://doi.org/10.5194/egusphere-2024-3847, 2024
Short summary
Chaotic oceanic excitation of low-frequency polar motion variability
Lara Börger, Michael Schindelegger, Mengnan Zhao, Rui M. Ponte, Anno Löcher, Bernd Uebbing, Jean-Marc Molines, and Thierry Penduff
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2024-21,https://doi.org/10.5194/esd-2024-21, 2024
Revised manuscript accepted for ESD
Short summary
Ensemble quantification of short-term predictability of the ocean dynamics at a kilometric-scale resolution: a Western Mediterranean test case
Stephanie Leroux, Jean-Michel Brankart, Aurélie Albert, Laurent Brodeau, Jean-Marc Molines, Quentin Jamet, Julien Le Sommer, Thierry Penduff, and Pierre Brasseur
Ocean Sci., 18, 1619–1644, https://doi.org/10.5194/os-18-1619-2022,https://doi.org/10.5194/os-18-1619-2022, 2022
Short summary
Four-dimensional temperature, salinity and mixed-layer depth in the Gulf Stream, reconstructed from remote-sensing and in situ observations with neural networks
Etienne Pauthenet, Loïc Bachelot, Kevin Balem, Guillaume Maze, Anne-Marie Tréguier, Fabien Roquet, Ronan Fablet, and Pierre Tandeo
Ocean Sci., 18, 1221–1244, https://doi.org/10.5194/os-18-1221-2022,https://doi.org/10.5194/os-18-1221-2022, 2022
Short summary
Imprint of chaotic ocean variability on transports in the southwestern Pacific at interannual timescales
Sophie Cravatte, Guillaume Serazin, Thierry Penduff, and Christophe Menkes
Ocean Sci., 17, 487–507, https://doi.org/10.5194/os-17-487-2021,https://doi.org/10.5194/os-17-487-2021, 2021
Short summary

Related subject area

Approach: Numerical Models | Properties and processes: Overturning circulation, gyres and water masses
The formation and ventilation of an oxygen minimum zone in a simple model for latitudinally alternating zonal jets
Eike E. Köhn, Richard J. Greatbatch, Peter Brandt, and Martin Claus
Ocean Sci., 20, 1281–1290, https://doi.org/10.5194/os-20-1281-2024,https://doi.org/10.5194/os-20-1281-2024, 2024
Short summary
Long-term Variability and Trends of Agulhas Leakage and its Impacts on the Global Overturning
Hendrik Grosselindemann, Frederic S. Castruccio, Gokhan Danabasoglu, and Arne Biastoch
EGUsphere, https://doi.org/10.5194/egusphere-2024-2288,https://doi.org/10.5194/egusphere-2024-2288, 2024
Short summary
Persistent climate model biases in the Atlantic Ocean's freshwater transport
René M. van Westen and Henk A. Dijkstra
Ocean Sci., 20, 549–567, https://doi.org/10.5194/os-20-549-2024,https://doi.org/10.5194/os-20-549-2024, 2024
Short summary
Surface factors controlling the volume of accumulated Labrador Sea Water
Yavor Kostov, Marie-José Messias, Herlé Mercier, David P. Marshall, and Helen L. Johnson
Ocean Sci., 20, 521–547, https://doi.org/10.5194/os-20-521-2024,https://doi.org/10.5194/os-20-521-2024, 2024
Short summary
Dependency of simulated tropical Atlantic current variability on the wind forcing
Kristin Burmeister, Franziska U. Schwarzkopf, Willi Rath, Arne Biastoch, Peter Brandt, Joke F. Lübbecke, and Mark Inall
Ocean Sci., 20, 307–339, https://doi.org/10.5194/os-20-307-2024,https://doi.org/10.5194/os-20-307-2024, 2024
Short summary

Cited articles

Balmaseda, M., Hernandez, F., Storto, A., Palmer, M., Alves, O., Shi, L., Smith, G., Toyoda, T., Valdivieso, M., Barnier, B., Behringer, D., Boyer, T., Chang, Y.-S., Chepurin, G., Ferry, N., Forget, G., Fujii, Y., Good, S., Guinehut, S., Haines, K., Ishikawa, Y., Keeley, S., Köhl, A., Lee, T., Martin, M., Masina, S., Masuda, S., Meyssignac, B., Mogensen, K., Parent, L., Peterson, K., Tang, Y., Yin, Y., Vernieres, G., Wang, X., Waters, J., Wedd, R., Wang, O., Xue, Y., Chevallier, M., Lemieux, J.-F., Dupont, F., Kuragano, T., Kamachi, M., Awaji, T., Caltabiano, A., Wilmer-Becker, K., and Gaillard, F.: The Ocean Reanalyses Intercomparison Project (ORA-IP), J. Oper. Oceanogr., 8, s80–s97, https://doi.org/10.1080/1755876X.2015.1022329, 2015. a
Barnier, B., Siefridt, L., and Marchesiello, P.: Thermal forcing for a global ocean circulation model using a three-year climatology of ECMWF analyses, J. Marine Syst., 6, 363–380, https://doi.org/10.1016/0924-7963(94)00034-9, 1995. a
Bates, N. R.: Interannual variability of the oceanic CO2 sink in the subtropical gyre of the North Atlantic Ocean over the last 2 decades, J. Geophys. Res.-Oceans, 112, C09013, https://doi.org/10.1029/2006JC003759, 2007. a
Bates, N. R., Pequignet, A. C., Johnson, R. J., and Gruber, N.: A short-term sink for atmospheric CO2 in subtropical mode water of the North Atlantic Ocean, Nature, 420, 489–493, https://doi.org/10.1029/2006JC003759, 2002. a
Bessières, L., Leroux, S., Brankart, J.-M., Molines, J.-M., Moine, M.-P., Bouttier, P.-A., Penduff, T., Terray, L., Barnier, B., and Sérazin, G.: Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution, Geosci. Model Dev., 10, 1091–1106, https://doi.org/10.5194/gmd-10-1091-2017, 2017. a, b, c, d
Download
Short summary
This study examines how the ocean's chaotic variability and atmospheric fluctuations affect yearly changes in North Atlantic Subtropical Mode Water (STMW) properties, using an ensemble of realistic ocean simulations. Results show that while yearly changes in STMW properties are mostly paced by the atmosphere, a notable part of these changes are random in phase. This study also illustrates the value of ensemble simulations over single runs in understanding oceanic fluctuations and their causes.