Impact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models

Abstract

Abstract. We examine the impacts of increased resolution on four long-standing biases using five different climate models developed within the PRIMAVERA project. Atmospheric resolution is increased from ~100–200 km to ~25–50 km, and ocean resolution is increased from ~1° (i.e., eddy-parametrized) to ~0.25° (i.e., eddy-present). For one model, ocean resolution is also increased to 1/12° (i.e., eddy-rich). Fully-coupled general circulation models and their atmosphere-only versions are compared with observations and reanalysis of near-surface temperature, precipitation, cloud cover, net cloud radiative effect, and zonal wind over the period 1980–2014. Both the ensemble mean and individual models are analyzed. Increased resolution especially in the atmosphere helps reduce the surface warm bias over the tropical upwelling regions in the coupled models, with further improvements in the cloud cover and precipitation biases particularly over the tropical South Atlantic. Related to this and to the improvement in the precipitation distribution over the western tropical Pacific, the double Intertropical Convergence Zone bias also weakens with resolution. Overall, increased ocean resolution from ~1° to ~0.25° offers limited improvements or even bias degradation in some models, although an eddy-rich ocean resolution seems beneficial for reducing the biases in North Atlantic temperatures and Gulf Stream path. Despite the improvements, however, large biases in precipitation and cloud cover persist over the whole tropics as well as in the upper-troposphere zonal winds at mid-latitudes in coupled and atmosphere-only models at higher resolutions. The Southern Ocean warm bias also worsens or persists in some coupled models. And a new warm bias emerges in the Labrador Sea in all the high-resolution coupled models. The analysis of the PRIMAVERA models therefore suggests that, to reduce biases, i) increased atmosphere resolution up to ~25–50 km alone might not be sufficient and ii) an eddy-rich ocean resolution might be needed. The study thus adds to evidence that further improved model physics and tuning might be necessary in addition to increased resolution to mitigate biases.

Discrepancies in Simulated Ocean Net Surface Heat Fluxes over the North Atlantic

“…5a). The physical processes leading to the global area mean RSW and OLR dependence on the model resolution are complicated due to the bias compensation between different regions (Moreno-Chamarro et al, 2021). The increase of OLR and the decrease of RSW with the higher model horizontal resolution are primarily due to a change of cloud radiative forcings in regions of mean ascending motion.…”

Impact of resolution on the atmosphere–ocean coupling along the Gulf Stream in global high resolution models

“…The High-ResMIP protocol, requiring all simulations to be performed with a low and high resolution model configuration, allows us to investigate the spatial resolution dependence of the ocean-atmosphere interaction. The impact of increased resolution in HighResMIP simulations on climate and variability has been documented in several studies, including Moreno-Chamarro et al (2021) who discuss the impact on biases. We have focused here on the VMM and PAM mechanisms and compared the results with available observations.…”