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Estimating Ocean Heat Uptake Using Boundary Green's Functions: A Perfect-Model Test of the Method.

Quran Wu1, Jonathan M Gregory1,2

  • 1National Centre for Atmospheric Science University of Reading Reading UK.

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|April 10, 2023
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Summary

This study evaluates a Green's function (GF) method for estimating ocean heat uptake using sea surface temperature (SST) anomalies. The GF method shows limitations in accurately reconstructing excess heat due to model simplifications and observational constraints.

Keywords:
Green's functionmaximum entropyocean heat uptakepassive tracer

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Area of Science:

  • Oceanography
  • Climate Science
  • Earth System Science

Background:

  • Ocean heat uptake is crucial for regulating global climate, driven by air-sea fluxes and ocean transports.
  • Estimating subsurface ocean heat content relies on understanding heat propagation from the surface.

Purpose of the Study:

  • To evaluate the accuracy of a Green's function (GF) method for estimating ocean excess heat using sea surface temperature (SST) anomalies.
  • To identify and quantify errors associated with GF-based heat uptake estimations in a perfect-model scenario.

Main Methods:

  • A perfect-model approach was used, comparing diagnosed true excess heat with GF-reconstructed heat.
  • Green's functions (GFs) were derived through two methods: simulating idealized tracers and inferring from simulated CFCs and climatological tracers.
  • The GF method propagated observed SST anomalies downward to estimate excess heat.

Main Results:

  • Combining simulated GFs with SST anomalies reconstructed Indo-Pacific excess heat with a 26% root-mean-square error.
  • Inferred GFs resulted in a 34% root-mean-square error for excess heat reconstruction.
  • Errors stemmed from coarse model resolution, insufficient observational constraints, neglected North Atlantic heat uptake slowdown, and Southern Ocean redistributive cooling.

Conclusions:

  • The GF method provides a partial reconstruction of ocean excess heat but is subject to significant errors.
  • Both simulated and inferred GFs have limitations that affect accuracy.
  • Error compensation was observed, but the method's reliability for precise heat uptake estimation requires further refinement.