1. Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6
- Author
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Galytska, Evgenia, Weigel, Katja, Handorf, Dörthe, Jaiser, Ralf, Köhler, Raphael, Runge, Jakob, and Eyring, Veronika
- Abstract
To analyze links among key processes that contribute to Arctic‐midlatitude teleconnections we apply causal discovery based on graphical models known as causal graphs. First, we calculate the causal dependencies from observations during 1980–2021. Observations show several robust connections from early to late winter, such as atmospheric blocking within central Asia via the Ural blocking and Siberian High, the North Atlantic Oscillation phase and the polar vortex (PV). The PV is affected by poleward eddy heat flux at 100 hPa, which is also directly connected with the Aleutian Low. We then evaluate climate models participating in the Coupled Model Intercomparison Project Phase 6 (CMIP6) by comparing their causal graphs with those derived from observations. Compared to observations, CMIP6 historical and future simulations do not robustly capture Arctic‐midlatitude teleconnections arising from Arctic sea ice variability. This highlights the role of atmospheric internal variability in modulating the Arctic‐midlatitude teleconnections. However, we find several distinct patterns that are simulated by most of the analyzed climate models. For example, both historical and future model simulations robustly capture observed atmospheric blocking in central Asia. But contrary to observations, model simulations show a robust link between the Arctic temperature and sea ice cover over Barents and Kara seas. The analysis of future changes also reveals that the connection between the Aleutian Low and the poleward eddy heat flux at 100 hPa is expected to become more robust toward the end of the 21st century than in the analyzed past. The role of different mechanisms that link amplified Arctic warming and changes in midlatitude weather remains an open question. Observations and model simulations lead to different conclusions, making interpreting Arctic‐midlatitude connections difficult. To improve the understanding of these processes, this study uses a novel method that goes beyond simple correlation analysis, known as causal discovery. The application of causal discovery in combination with physical reasoning provides a powerful tool to evaluate the performance of climate models and better understand the mechanisms of analyzed teleconnections. Causal discovery detects cause–effect relationships from analyzed data using graphical models known as causal graphs. As a first step, we calculate causal graphs for observations. Then we compare the causal graphs from observations with historical simulations from the Coupled Model Intercomparison Project Phase 6 (CMIP6). This comparison shows if the CMIP6 models reproduce the observed connections in the current climate. We also estimate future changes in Arctic‐midlatitude teleconnections toward the end of the century by comparing causal graphs from the CMIP6 historical and Scenario Model Intercomparison Project (ScenarioMIP) simulations. This study demonstrates that the observations and CMIP6 model simulations do not robustly show Arctic‐midlatitude links that arise from Arctic sea ice variability. The robustness of Arctic‐midlatitude teleconnections is evaluated by applying causal discovery to observations and CMIP6 simulationsObservations, CMIP6 historical and SSP5‐8.5 simulations do not robustly show Arctic‐midlatitude links arising from sea ice variabilityCMIP6 SSP5‐8.5 simulations predict a more robust link between poleward eddy heat flux and Aleutian Low toward the end of the 21st century The robustness of Arctic‐midlatitude teleconnections is evaluated by applying causal discovery to observations and CMIP6 simulations Observations, CMIP6 historical and SSP5‐8.5 simulations do not robustly show Arctic‐midlatitude links arising from sea ice variability CMIP6 SSP5‐8.5 simulations predict a more robust link between poleward eddy heat flux and Aleutian Low toward the end of the 21st century
- Published
- 2023
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