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

This contains the data and plot scripts to reproduce the figures of the manuscript: Impact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models.

Authors:

Eduardo Moreno-Chamarro^1*, Louis-Philippe Caron^1,2, Saskia Loosveldt Tomas¹, Oliver Gutjahr^3,4 , Marie-Pierre Moine⁵, Dian Putrasahan³ , Christopher D. Roberts⁶, Malcolm J. Roberts⁷, Retish Senan⁶, Laurent Terray⁵, Etienne Tourigny¹, Pier Luigi Vidale⁸

^{1 Barcelona Supercomputing Center (BSC), Barcelona, Spain.}

^{2 Ouranos, Montreal, H3A 1B9, Canada.}

^{3 Max Planck Institute for Meteorology. Hamburg, Germany.}

^{4 Now at Institut für Meereskunde, Universität Hamburg, Hamburg, Germany.}

^{5 CECI, Université de Toulouse, CERFACS/CNRS, Toulouse, France.}

^{6 ECMWF European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom.}

^{7 Met Office, Exeter EX1 3PB, United Kingdom.}

^{8 NCAS-Climate, Department of Meteorology, University of Reading, Reading, United Kingdom.}

^{Correspondence to: Eduardo Moreno-Chamarro (eduardo.moreno@bsc.es)}

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 the 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 over the tropical Atlantic particularly. Related to this and to the improvement in the precipitation distribution over the western tropical Pacific, the double ITCZ 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 to reduce the North Atlantic cold bias and the 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 both coupled and atmosphere-only models at higher resolutions. The SO 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.