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https://doi.org/10.5194/egusphere-2024-2878
https://doi.org/10.5194/egusphere-2024-2878
19 Sep 2024
 | 19 Sep 2024

On the role of moist and dry processes for atmospheric blocking biases in the Euro-Atlantic region in CMIP6

Edgar Dolores-Tesillos, Olivia Martius, and Julian Quinting

Abstract. Synoptic- and large-scale features such as extratropical cyclones, Rossby wave packets, and atmospheric blocking modulate the mid-latitude weather and climate. However, several studies have shown strong biases in the frequency of these features in state-of-the-art global climate models. One notable and persistent bias is an underestimation of the atmospheric blocking frequency in the Euro-Atlantic region. In this study, we validate the representation of synoptic- and large-scale features of the North Atlantic flow in eight climate models of the Coupled Model Intercomparison Project 6 (CMIP6), taking the ERA5 reanalysis as a reference. Validation includes atmospheric blocking, storm tracks, eddy heat and moisture fluxes, and warm conveyor belts (WCBs).

The selected CMIP6 models underestimate the atmospheric blocking frequency over the eastern North Atlantic and Europe in winter (December to February) by up to 80 %. The frequency biases result from combined biases at different spatial and temporal scales described in the following. First, we define the background flow as the most frequent value of the latitudinal gradient of the geopotential at 500 hPa. In the CMIP6 models, the strongest latitudinal geopotential gradients are equatorward shifted in the North Atlantic basin. This shift favours more zonal and stronger winds to the south of the climatological jet. The differences in the background flow affect Rossby wave breaking and blocking onset and persistence, as illustrated by analysing the eddies in the Euro-Atlantic region. We find an equatorward shift in the eddies in CMIP6 that accelerates the mean flow in the exit region of the Atlantic jet, as indicated by a reduction of the divergence of E-Vectors. The shift in the eddies leads to a less diffluent flow in the east Atlantic and, thus, a less favourable flow for blocking formation. Second, we find a negative bias in WCB outflow frequency in the CMIP6 models in the North Atlantic. Reduced WCB outflow indicates weaker transport of low potential vorticity (PV) from the lower to the upper troposphere by moist diabatic processes and consequently weaker downstream ridge amplification and, therefore, a less diffluent flow over the eastern Atlantic and weaker diabatic contributions to blocking. The negative WCB outflow bias can be linked to an underestimation of the meridional moisture transport at low levels in the climatological WCB inflow area in the western Atlantic. Thus, the misrepresentation of moist processes contributes to the negative blocking biases. Accordingly, an improved representation of the moist processes in the next generation of climate models could improve the blocking representation.

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Edgar Dolores-Tesillos, Olivia Martius, and Julian Quinting

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-2878', Anonymous Referee #1, 09 Oct 2024
  • RC2: 'Comment on egusphere-2024-2878', Anonymous Referee #2, 15 Oct 2024
  • RC3: 'Comment on egusphere-2024-2878', Anonymous Referee #3, 22 Oct 2024
  • RC4: 'Comment on egusphere-2024-2878', Anonymous Referee #4, 24 Oct 2024
  • AC1: 'Comment on egusphere-2024-2878', Edgar Dolores Tesillos, 28 Nov 2024
Edgar Dolores-Tesillos, Olivia Martius, and Julian Quinting
Edgar Dolores-Tesillos, Olivia Martius, and Julian Quinting

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Short summary
An accurate representation of synoptic weather systems in climate models is required to estimate their societal and economic impacts under climate warming. Current climate models poorly represent the frequency of atmospheric blocking. Few studies have analysed the role of moist processes as a source of bias of blocks. Here, we implement ELIAS2.0, a deep learning tool, to validate the representation of moist processes in CMIP6 models and their link to the Euro-Atlantic blocking biases.