DiuSST: A conceptual model of diurnal warm layers for idealized atmospheric simulations with interactive SST

TL;DR

This paper introduces a simple, depth-resolved model of diurnal sea surface temperature variations that improves upon slab models by capturing wind-dependent warming, aiding idealized atmospheric simulations.

Contribution

The authors develop a modular, depth-resolved diurnal warm layer model calibrated with observational data, enhancing the realism of SST representation in idealized atmospheric models.

Findings

Model captures exponential decrease of diurnal warming with wind speed

Performs comparably to complex diurnal warm layer models

Suitable as an interactive boundary condition in simulations

Abstract

The diurnal variability of sea surface temperature (SST) may play an important role for cloud organization above the tropical ocean, with implications for precipitation extremes, storminess, and climate sensitivity. Recent cloud-resolving simulations demonstrate how imposed diurnal SST oscillations can strongly, and delicately, impact mesoscale convective organization. In spite of this nuanced interaction, many idealized modeling studies of tropical convection either assume a constant, homogeneous SST or, in case of a responsive sea surface, represent the upper ocean by a slab with fixed thickness. Here we show that slab ocean models with constant heat capacity fail to capture the wind-dependence of observed diurnal sea surface warming. To alleviate this shortcoming, we present a simple, yet explicitly depth-resolved model of upper-ocean temperature dynamics under atmospheric forcing. Our modular scheme describes turbulent mixing as diffusion with a wind-dependent diffusivity, in addition to a bulk mixing term and heat fluxes entering as sources and sinks. Using observational data, we apply Bayesian inference to calibrate the model. In contrast with a slab model, our model captures the exponential reduction of the diurnal warming amplitude with increasing wind speed. Further, our model performs comparably to a more elaborately parameterized diurnal warm layer model. Formulated as a single partial differential equation with three key tuning parameters, the model is suitable as an interactive numerical boundary condition for idealized atmospheric simulations.