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The rate of information transfer as a measure of ocean–atmosphere interactions
Docquier, D.; Vannitsem, S.; Bellucci, A. (2023). The rate of information transfer as a measure of ocean–atmosphere interactions. Earth System Dynamics 14(3): 577-591. https://dx.doi.org/10.5194/esd-14-577-2023
In: Earth System Dynamics. Copernicus: Göttingen. ISSN 2190-4979; e-ISSN 2190-4987, meer
Is gerelateerd aan:Docquier, D.; Vannitsem, S.; Bellucci, A.; Frankignoul, C. (2023). The rate of information transfer as a measure of ocean-atmosphere interactions, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-4940. https://dx.doi.org/10.5194/egusphere-egu23-4940, meer
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| Auteurs | | Top |
- Docquier, D., meer
- Vannitsem, S., meer
- Bellucci, A.
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| Abstract |
Exchanges of mass, momentum and energy between the ocean and atmosphere are of large importance in regulating the climate system. Here, we apply for the first time a relatively novel approach, the rate of information transfer, to quantify interactions between the ocean surface and the lower atmosphere over the period 1988–2017 at a monthly timescale. More specifically, we investigate dynamical dependencies between sea surface temperature (SST), SST tendency and turbulent heat flux in satellite observations. We find a strong two-way influence between SST and/or SST tendency and turbulent heat flux in many regions of the world, with the largest values in the eastern tropical Pacific and Atlantic oceans, as well as in western boundary currents. The total number of regions with a significant influence by turbulent heat flux on SST and on SST tendency is reduced when considering the three variables (this case should be privileged, as it provides additional sources of information), while it remains large for the information transfer from SST and SST tendency to turbulent heat flux, suggesting an overall stronger ocean influence compared to the atmosphere. We also find a relatively strong influence by turbulent heat flux taken 1 month before on SST. Additionally, an increase in the magnitude of the rate of information transfer and in the number of regions with significant influence is observed when looking at interannual and decadal timescales compared to monthly timescales. |
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