Articles | Volume 4, issue 4
https://doi.org/10.5194/wcd-4-833-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-4-833-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Oct 2023
Research article |
| 05 Oct 2023
| 05 Oct 2023
Atmospheric bias teleconnections in boreal winter associated with systematic sea surface temperature errors in the tropical Indian Ocean
Yuan-Bing Zhao
CORRESPONDING AUTHOR
Meteorologisches Institut, Universität Hamburg, Hamburg, Germany
Nedjeljka Žagar
Meteorologisches Institut, Universität Hamburg, Hamburg, Germany
Frank Lunkeit
Meteorologisches Institut, Universität Hamburg, Hamburg, Germany
Richard Blender
Meteorologisches Institut, Universität Hamburg, Hamburg, Germany
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Short summary
Coupled climate models have significant biases in the tropical Indian Ocean (TIO) sea surface temperature (SST). Our study shows that the TIO SST biases can affect the simulated global atmospheric circulation and its spatio-temporal variability on large scales. The response of the spatial variability is related to the amplitude or phase of the circulation bias, depending on the flow regime and spatial scale, while the response of the interannual variability depends on the sign of the SST bias.
Coupled climate models have significant biases in the tropical Indian Ocean (TIO) sea surface...
