Preprints
https://doi.org/10.5194/egusphere-2025-4093
https://doi.org/10.5194/egusphere-2025-4093
29 Aug 2025
 | 29 Aug 2025
Status: this preprint is open for discussion and under review for Ocean Science (OS).

Subpolar Atlantic meridional heat transports from OSNAP and ocean reanalyses – a comparison

Susanna Winkelbauer, Isabella Winterer, Michael Mayer, Yao Fu, and Leopold Haimberger

Abstract. Ocean reanalyses are potentially useful tools to study ocean heat transport (OHT) and its role in climate variability, but their ability to accurately reproduce observed transports remains uncertain, particularly in dynamically complex regions like the subpolar North Atlantic. Here, we evaluate currents, temperatures, and resulting OHT at the OSNAP (Overturning in the Subpolar North Atlantic Program) section by comparing OSNAP observations with outputs from a suite of global ocean reanalyses. While the reanalyses broadly reproduce the spatial structure of currents and heat transport across OSNAP West and East, systematic regional biases persist, especially in the representation of key boundary currents and inflow pathways.

Temporal variability is well captured at OSNAP West, but none of the reanalyses reproduce the observed OHT variability at OSNAP East, especially a pronounced peak in 2015. This discrepancy in 2015 is traced to the glider region over the eastern Iceland Basin and Hatton Bank, where OSNAP data show a strong, localized inflow anomaly associated with the North Atlantic Current (NAC). This signal is absent from all reanalyses as well as from independent, indirect heat transport estimates based on surface heat fluxes and heat content. Investigation of sea level anomalies and implied geostrophic currents further confirm that this mismatch is mainly driven by differences in flow structure rather than temperature anomalies alone.

Our results highlight both the value and limitations of reanalyses in capturing subpolar heat transport variability. While higher-resolution products such as GLORYS12V1 better represent circulation features, significant mismatches remain, especially in regions with sparse observational coverage. The findings underscore the need for improved observational networks and higher-resolution modeling to more accurately constrain subpolar OHT.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Susanna Winkelbauer, Isabella Winterer, Michael Mayer, Yao Fu, and Leopold Haimberger

Status: open (until 24 Oct 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Susanna Winkelbauer, Isabella Winterer, Michael Mayer, Yao Fu, and Leopold Haimberger
Susanna Winkelbauer, Isabella Winterer, Michael Mayer, Yao Fu, and Leopold Haimberger

Viewed

Total article views: 525 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
491 31 3 525 12 16
  • HTML: 491
  • PDF: 31
  • XML: 3
  • Total: 525
  • BibTeX: 12
  • EndNote: 16
Views and downloads (calculated since 29 Aug 2025)
Cumulative views and downloads (calculated since 29 Aug 2025)

Viewed (geographical distribution)

Total article views: 580 (including HTML, PDF, and XML) Thereof 580 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Sep 2025
Download
Short summary
Ocean reanalyses combine models and observations to reconstruct past ocean conditions. We evaluate their performance against detailed measurements from the subpolar North Atlantic at the OSNAP section. While reanalyses capture long-term averages and broad circulation patterns, they miss some more regional features and variability. This highlights both their value and their limitations, stressing the need for improved observations and higher-resolution models.
Share