2023
DOI: 10.5194/gmd-16-1839-2023
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Accelerated estimation of sea-spray-mediated heat flux using Gaussian quadrature: case studies with a coupled CFSv2.0-WW3 system

Abstract: Abstract. Sea-spray-mediated heat flux plays an important role in air–sea heat transfer. Heat flux integrated over the droplet size spectrum can simulate well the total heat flux induced by sea spray droplets. Previously, a fast algorithm of spray flux assuming single-radius droplets (A15) was widely used, as the full-size spectrum integral is computationally expensive. Based on the Gaussian quadrature (GQ) method, a new fast algorithm (SPRAY-GQ) of sea-spray-mediated heat flux is derived. The performance of S… Show more

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Cited by 1 publication
(4 citation statements)
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“…For the corresponding wave‐induced processes, the system contains the wave‐modified momentum roughness length, a number of Stokes drift related mixing processes, the effect of Stokes drift on the relative velocity of fluxes, as well as the spray heat flux. Full details of the coupling system can be found in Shi and Xu (2023) and Shi et al. (2022).…”
Section: Methodsmentioning
confidence: 99%
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“…For the corresponding wave‐induced processes, the system contains the wave‐modified momentum roughness length, a number of Stokes drift related mixing processes, the effect of Stokes drift on the relative velocity of fluxes, as well as the spray heat flux. Full details of the coupling system can be found in Shi and Xu (2023) and Shi et al. (2022).…”
Section: Methodsmentioning
confidence: 99%
“…The total heat flux generated by spray droplets can be accurately reproduced by integrating the heat flux spectrums over the full droplet radii (Andreas, 1989, 1990, 1992). In CFSv2.0‐WW3, a spray heat flux parameterization based on GQ method (SPRAY‐GQ; Shi & Xu, 2023) is applied to rapidly calculate the integral of spectrums for spray sensible and latent heat fluxes ( Q S ( r 0 ) and Q L ( r 0 )) over the initial radius ( r 0 ): 2μnormalm500μnormalmQS)(r0dr04982i=13ωiQS)(rSi, $\int \nolimits_{2\mu \mathrm{m}}^{500\mu \mathrm{m}}{Q}_{S}\left({r}_{0}\right)d{r}_{0}\approx \frac{498}{2}\sum\limits _{i=1}^{3}{\omega }_{i}{Q}_{S}\left({r}_{Si}\right),$ 2μnormalm500μnormalmQL)(r0dr04982i=13ωiQL)(rLi, $\int \nolimits_{2\mu \mathrm{m}}^{500\mu \mathrm{m}}{Q}_{L}\left({r}_{0}\right)d{r}_{0}\approx \frac{498}{2}\sum\limits _{i=1}^{3}{\omega }_{i}{Q}_{L}\left({r}_{Li}\right),$ rS1=459.056,0.25emrS2=294.185,0.25emrS3=166.771, ${r}_{S1}=459.056,{\,r}_{S2}=294.185,{\,r}_{S3}=166.771,$ rL1=443.914,rL2=251.0498, ${r}_{L1}=443.914,{r}_{L2}=251.0498,$ rL3…”
Section: Methodsmentioning
confidence: 99%
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