The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Sea surface temperature anomalies, planetary waves, and air‐sea feedback in the middle latitudes
Abstract
The mechanisms that contribute to the generation and damping of large‐scale mid‐latitude sea surface temperature (SST) anomalies are discussed. The SST anomalies reflect primarily the response of the upper ocean to the changes in air‐sea fluxes that are associated with daily weather fluctuations. Heat flux forcing is dominant in the lower middle latitudes, while wind‐driven entrainment may be most effective in the high latitudes; advection by anomalous Ekman current is generally less important, and Ekman pumping is negligible. The SST anomalies decay in part because of entrainment effects associated with mixed‐layer deepening and oceanic mixing and in part because of heat exchanges with the atmosphere. The three approaches commonly used to model the evolution of SST anomalies are reviewed: case studies based on monthly or seasonal anomaly maps of the large‐scale SST and atmospheric anomalies, numerical simulations with one‐dimensional mixed‐layer models, and stochastic forcing models. We stress the similarities in the different approaches and discuss their main advantages and limitations. The response of the atmosphere to mid‐latitude SST anomalies is considered. First, we discuss the poorly known relationship between SST anomalies and diabatic heating. Using a crude assumption for the air‐sea coupling, we consider a two‐layer quasi‐geostrophic channel model and discuss the stationary wave response to SST anomaly forcing and the resulting air‐sea feedback. It is found that the back interaction of the SST anomalies onto the atmosphere causes a weak SST anomaly damping at large scales and a strong one at small scales; the air‐sea coupling should also act as an eastward propagator for the SST anomalies. The response of more realistic linear wave models to prescribed diabatic heating is then reviewed, and it is suggested that realistic mid‐latitude SST anomalies have a weak influence on the atmospheric circulation, corresponding to changes in the geopotential height of 10–30 m at most. This order of magnitude is consistent with the results of general circulation model experiments and with the limited climate predictability associated with mid‐latitude SST anomalies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Pedlosky, J., & Leibovich, S. (1981) · Journal of Applied Mechanics · doi:10.1115/1.3157711 · Cited by 4,631
Climatological Atlas of the World Ocean
Levitus, S. (1983) · Eos, Transactions American Geophysical Union · doi:10.1029/eo064i049p00962-02 · Cited by 3,078
Temporal coherence in North Pacific sea-surface temperature patterns
Namias, J., & Born, R. M. (1970) · Journal of Geophysical Research · doi:10.1029/jc075i030p05952 · Cited by 161
Cited by
Remote Sea Surface Temperature Variations during ENSO: Evidence for a Tropical Atmospheric Bridge
Klein, S. A., Soden, B. J., & Lau, N.-C. (1999) · Journal of Climate · doi:10.1175/1520-0442(1999)012<0917:rsstvd>2.0.co;2 · Cited by 1,524
Oceanic forcing of the wintertime North Atlantic Oscillation and European climate
Rodwell, M. J., Rowell, D. P., & Folland, C. K. (1999) · Nature · doi:10.1038/18648 · Cited by 957
Enfield, D. B., & Mayer, D. A. (1997) · Journal of Geophysical Research: Oceans · doi:10.1029/96jc03296 · Cited by 857
Deser, C., Phillips, A. S., & Hurrell, J. W. (2004) · Journal of Climate · doi:10.1175/1520-0442(2004)017<3109:picvlb>2.0.co;2 · Cited by 579
Zhang, R., Sutton, R., Danabasoglu, G., Kwon, Y., Marsh, R., Yeager, S. G., Amrhein, D. E., & Little, C. M. (2019) · Reviews of Geophysics · doi:10.1029/2019rg000644 · Cited by 573
Metadata
- Authors
- Frankignoul, C.
- Venue
- Reviews of Geophysics
- Publisher
- American Geophysical Union (AGU)
- Published
- 1985-11
- Volume
- 23
- Issue
- 4
- Pages
- 357-390
- ISSN
- 0096-1043 (ISSN-L)
- 8755-1209
- 1944-9208
- OpenAlex
- W2096014694
- Cited by
- 539
- References
- 3
- FWCI
- 8.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Sea surface temperature anomalies, planetary waves, and air‐sea feedback in the middle latitudes. https://app.cochat.ai/papers/10.1029/rg023i004p00357
- The paper
- Frankignoul, C. (1985). Sea surface temperature anomalies, planetary waves, and air‐sea feedback in the middle latitudes. Reviews of Geophysics. https://doi.org/10.1029/rg023i004p00357
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.