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arxiv: 2605.00621 · v1 · submitted 2026-05-01 · ⚛️ physics.ao-ph

Recognition: unknown

The role of the oceans for subseasonal prediction: insights from eddy-permitting and eddy-rich coupled forecast systems

Christopher David Robert , Sarah Keeley , Kristian Mogensen , Charles Pelletier , Hao Zuo
Authors on Pith no claims yet

Pith reviewed 2026-05-09 15:00 UTC · model grok-4.3

classification ⚛️ physics.ao-ph
keywords ocean-atmosphere couplingsubseasonal predictionMadden-Julian Oscillationeddy-permittingeddy-rich oceantropical forecast skillensemble reforecasts
0
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The pith

Ocean-atmosphere coupling substantially improves tropical subseasonal forecasts and extends Madden-Julian Oscillation skill by about five days.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper tests whether coupling an ocean model to the atmosphere in the ECMWF forecasting system raises skill in 46-day ensemble predictions. It compares coupled runs against atmosphere-only versions and adds a test with much finer ocean resolution. Coupling lifts tropical skill, with the gain growing at longer leads and adding roughly five days of useful MJO prediction. Extratropical circulation indices show almost no change. The finer ocean grid produces little extra atmospheric benefit once initialization is accurate. These results matter because subseasonal forecasts guide decisions on monsoon rains, tropical storms, and other phenomena that depend on ocean heat and moisture exchange.

Core claim

Ocean-atmosphere coupling significantly enhances ensemble forecast skill in the tropics, with positive effects increasing at longer lead times. Madden-Julian Oscillation forecasts improve substantially, extending skill by approximately five days relative to the uncoupled configuration. Coupling exerts only marginal influence on extratropical tropospheric and stratospheric indices at subseasonal ranges. An experimental eddy-rich ocean component at roughly eight-kilometer resolution yields limited further gains in atmospheric forecasts, indicating that accurate initialization already offsets many deficiencies of the standard eddy-permitting ocean setup.

What carries the argument

Ocean-atmosphere coupling inside the ECMWF Integrated Forecasting System, tested by running otherwise identical 46-day reforecasts with and without the ocean model active and with ocean horizontal resolution raised from eddy-permitting to eddy-rich scales.

Load-bearing premise

The observed skill differences arise chiefly from the presence of ocean-atmosphere coupling and the change in ocean resolution rather than from any differences in model tuning, bias correction, or initial-condition quality.

What would settle it

If verified MJO amplitude and phase forecasts from the coupled system show no extension of useful skill beyond the uncoupled system when scored against independent observations over a multi-year period, the central claim would be falsified.

Figures

Figures reproduced from arXiv: 2605.00621 by Charles Pelletier, Christopher David Robert, Hao Zuo, Kristian Mogensen, Sarah Keeley.

Figure 1
Figure 1. Figure 1: (a) Example of sea surface temperatures (SSTs) vs lead time in coupled (ENS-C) and uncoupled (ENS-U) view at source ↗
Figure 2
Figure 2. Figure 2: A score card summarizing the impact of ocean-atmosphere coupling on weekly mean climatologies for view at source ↗
Figure 3
Figure 3. Figure 3: As figure 2, but for differences in fCRPSS calculated using weekly mean anomalies. Blue triangles indicate positive values of ∆fCRPSS, which correspond to improved anomaly-based forecast skill in ENS-C compared to ENS-U. Red triangles indicate negative values of ∆fCRPSS, which corresponds to degradations in anomaly-based forecast skill in ENS-C compared to ENS-U. Symbol areas are proportional to the magnit… view at source ↗
Figure 4
Figure 4. Figure 4: (a, b) fCRPSS of week one temperature anomalies at 200 hPa in uncoupled (ENS-U) and coupled (ENS-C) view at source ↗
Figure 5
Figure 5. Figure 5: Composite means of precipitation anomalies for each MJO phase for the period 2006-2023. Contributing data view at source ↗
Figure 6
Figure 6. Figure 6: A phase diagram showing the evolution of the MJO in ERA5 (black), ENS-C (red), and ENS-U (blue) for view at source ↗
Figure 7
Figure 7. Figure 7: Bivariate correlations for the RMM index in ENS-C (blue) and ENS-U (red) verified against indices calculated view at source ↗
Figure 8
Figure 8. Figure 8: Fair CRPSS of the daily mean extratropical atmospheric circulation indices described in section view at source ↗
Figure 9
Figure 9. Figure 9: SST initial conditions as seen by the IFS atmosphere in the Gulf Stream region for January 1st 2016 in the view at source ↗
Figure 10
Figure 10. Figure 10: Score cards summarising the subseasonal impact of increasing ocean horizontal resolution from view at source ↗
Figure 11
Figure 11. Figure 11: As figure 10, but for reforecasts using the IFS Tco1279 atmosphere. Blue triangles indicate increased MABS or reduced RMSE in HRA-ERO relative to HRA-EPO. 22 view at source ↗
Figure 12
Figure 12. Figure 12: (a-d) Week 4 1 2 (i.e. days 26-32) SST biases in eddy-permitting and eddy-rich reforecasts initialised on January 1st 1995-2016 relative to ESA-CCI SST (Merchant et al., 2019). (e,f) Difference between January 1st SST climatologies in eddy-rich and eddy-permitting reforecast configurations. Hatching/stippling indicates regions where estimated values are different from zero and robust to our estimates of s… view at source ↗
Figure 13
Figure 13. Figure 13: (a,b) RMSE differences for week 1 1 2 (i.e. days 5-11) SST anomalies estimated after conservative interpolation of all data to a common 0.5◦×0.5◦ latitude-longitude grid. (c,d) As above, but after conservative interpolation of all data to a common 2.5◦×2.5◦ latitude-longitude grid. Negative values (blue shading) correspond to reduced RMSE in eddy-rich ocean configurations. Hatching/stippling indicates reg… view at source ↗
read the original abstract

The oceans play a fundamental role in Earth's climate system, redistributing heat and influencing global and regional climate variability and predictability across weather and climate timescales. The benefits of ocean-atmosphere coupling for initialised predictions depend on the balance between improvements associated with more realistic air-sea interactions and dynamics, and degradations arising from the development of systematic biases at the coupling interface. Here, we draw on recent developments in modelling and data assimilation at ECMWF to revisit the role of ocean-atmosphere coupling in subseasonal predictions. In particular, we evaluate the impact of ocean-atmosphere coupling in 46-day reforecasts produced with the ECMWF Integrated Forecasting System (IFS) and explore the potential for improvements through increased horizontal resolution and a better representation of the ocean mesoscale. We find that ocean-atmosphere coupling significantly enhances ensemble forecast skill in the tropics, with positive effects increasing at longer lead times. In particular, Madden-Julian Oscillation (MJO) forecasts are substantially improved, with forecast skill extended by approximately 5 days compared to the uncoupled configuration. In contrast, ocean-atmosphere coupling has a more limited impact on the extratropical atmosphere at subseasonal timescales, with marginal impacts on the predictability of major tropospheric and stratospheric circulation indices. Finally, we present selected results from an experimental eddy-rich coupled configuration of the IFS, with a horizontal ocean resolution of approximately 8 km. We find that a better-resolved representation of the ocean mesoscale has a limited impact on atmospheric forecasts at subseasonal lead times, which suggests that many of the known deficiencies of the eddy-permitting reference configuration are mitigated by accurate initialisation.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript evaluates the role of ocean-atmosphere coupling in 46-day subseasonal reforecasts with the ECMWF IFS, comparing coupled, uncoupled, and an experimental eddy-rich (~8 km ocean resolution) configurations. It reports that coupling enhances tropical ensemble forecast skill, with benefits increasing at longer lead times, and extends MJO predictability by approximately 5 days relative to the uncoupled setup. Extratropical impacts on tropospheric and stratospheric indices are marginal. The eddy-rich configuration shows limited additional atmospheric forecast improvement, which the authors attribute to accurate initialization mitigating deficiencies in the eddy-permitting reference.

Significance. If the attribution to coupling holds, the results offer concrete guidance on prioritizing interactive ocean dynamics over further ocean resolution increases for subseasonal tropical prediction, particularly MJO. The use of recent ECMWF modeling and data assimilation advances, combined with the direct coupled/uncoupled comparison and the eddy-rich experiment, provides a practical benchmark for operational systems. The finding that mesoscale resolution adds little at these lead times is a useful negative result that could help allocate modeling resources.

major comments (2)
  1. [§2] §2 (Model configurations and experimental design): The headline result that coupling extends MJO skill by ~5 days requires that the atmospheric model version, physics parametrizations, bias-correction procedures, and initial-condition sources are identical between the coupled and uncoupled IFS reforecasts. The manuscript must explicitly document and verify this isolation; any feedback from the ocean DA cycle into atmospheric ICs or tuning would confound the attribution and undermine the claim that the difference is due to interactive ocean dynamics alone.
  2. [§3] §3 (Results, MJO and tropical skill scores): The reported directional improvements, including the ~5-day MJO extension and the increase in benefit with lead time, are presented without error bars, ensemble-spread diagnostics, or statistical significance tests. This absence makes it impossible to judge whether the differences exceed sampling uncertainty, weakening the central claim even if the experimental design is otherwise sound.
minor comments (2)
  1. [Abstract and §3] The abstract and results text should specify the exact MJO skill metric (e.g., bivariate correlation of RMM indices or RMSE) and the verification dataset used to derive the 5-day extension figure.
  2. [Figure captions] Figure captions for skill-score plots should state the ensemble size, number of reforecast cases, and any cross-validation or bias-correction details applied to the coupled versus uncoupled runs.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive review and positive overall assessment of the manuscript. We address each major comment below and have made revisions to strengthen the documentation of the experimental design and the statistical robustness of the key results.

read point-by-point responses

  1. Referee: §2 (Model configurations and experimental design): The headline result that coupling extends MJO skill by ~5 days requires that the atmospheric model version, physics parametrizations, bias-correction procedures, and initial-condition sources are identical between the coupled and uncoupled IFS reforecasts. The manuscript must explicitly document and verify this isolation; any feedback from the ocean DA cycle into atmospheric ICs or tuning would confound the attribution and undermine the claim that the difference is due to interactive ocean dynamics alone.

    Authors: We agree that explicit documentation is required to isolate the effect of coupling. In the revised manuscript, Section 2 has been expanded with a new subsection that details the configurations. The atmospheric model version, physics parametrizations, and bias-correction procedures are identical in the coupled and uncoupled reforecasts. Atmospheric initial conditions are taken from the same operational IFS analysis for both experiments, and the ocean data assimilation cycle does not feed back into the atmospheric initial states. This setup ensures that differences in forecast skill, including the reported MJO extension, arise solely from the presence of interactive ocean dynamics. revision: yes

  2. Referee: §3 (Results, MJO and tropical skill scores): The reported directional improvements, including the ~5-day MJO extension and the increase in benefit with lead time, are presented without error bars, ensemble-spread diagnostics, or statistical significance tests. This absence makes it impossible to judge whether the differences exceed sampling uncertainty, weakening the central claim even if the experimental design is otherwise sound.

    Authors: We acknowledge that the original presentation lacked quantitative uncertainty estimates. In the revised manuscript we have added ensemble-spread diagnostics and bootstrap-derived confidence intervals to the MJO and tropical skill-score figures. We have also applied a bootstrap resampling test to the differences between coupled and uncoupled configurations. The tests confirm that the approximately 5-day MJO skill extension and the lead-time-dependent increase in benefit are statistically significant at the 95% level beyond sampling uncertainty, thereby strengthening the central claim. revision: yes

Circularity Check

0 steps flagged

No circularity: empirical model comparison with direct skill metrics

full rationale

The paper reports results from 46-day reforecast experiments using coupled and uncoupled IFS configurations, plus one eddy-rich variant. Key claims (tropical skill gains, ~5-day MJO extension) are obtained by computing standard ensemble verification scores on the output fields; no equations, ansatzes, or fitted parameters are introduced that reduce the reported differences to the inputs by construction. Self-citations to prior ECMWF developments are present but not load-bearing for the attribution, which rests on the experimental design itself rather than a uniqueness theorem or renamed empirical pattern. The analysis is therefore self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

The claims rest on standard numerical weather prediction assumptions about model fidelity and initial-condition quality rather than new postulates or fitted parameters beyond the chosen resolutions.

free parameters (1)
  • ocean horizontal resolution
    Eddy-permitting versus approximately 8 km eddy-rich grids are chosen design parameters that define the experimental contrast.
axioms (1)
  • domain assumption The ECMWF IFS coupled system produces representative forecasts when initialized from the operational analysis.
    Invoked to interpret skill differences as arising from coupling and resolution rather than model error.

pith-pipeline@v0.9.0 · 5620 in / 1221 out tokens · 77566 ms · 2026-05-09T15:00:53.268841+00:00 · methodology

discussion (0)

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Reference graph

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