Articles | Volume 4, issue 4
https://doi.org/10.5194/wcd-4-833-2023
https://doi.org/10.5194/wcd-4-833-2023
Research article
 | 
05 Oct 2023
Research article |  | 05 Oct 2023

Atmospheric bias teleconnections in boreal winter associated with systematic sea surface temperature errors in the tropical Indian Ocean

Yuan-Bing Zhao, Nedjeljka Žagar, Frank Lunkeit, and Richard Blender

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Cited articles

Annamalai, H., Okajima, H., and Watanabe, M.: Possible Impact of the Indian Ocean SST on the Northern Hemisphere Circulation during El Niño, J. Climate, 20, 3164–3189, https://doi.org/10.1175/JCLI4156.1, 2007. a, b
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Bai, H., Li, B., Mehra, A., Meixner, J., Moorthi, S., Ray, S., Stefanova, L., Wang, J., Wang, J., Worthen, D., Yang, F., and Stan, C.: The impact of tropical SST biases on the S2S precipitation forecast skill over the Contiguous United States in the UFS global coupled model, Weather Forecast., 38, 937–952, https://doi.org/10.1175/WAF-D-22-0162.1, 2023. a
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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.
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