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Understanding the forecasting skills of the subseasonal-to-seasonal (S2S) model on Tibetan Plateau snow cover (TPSC) is the first step to applying the S2S model to hydrological forecasts over the Tibetan Plateau. This study conducted a multimodel comparison of the TPSC prediction skill to learn about their performance in capturing TPSC variability. S2S models can skillfully forecast TPSC within a lead time of 2 weeks but show limited skill beyond 3 weeks. Systematic biases of TPSC were found.
TC | Articles | Volume 14, issue 10
The Cryosphere, 14, 3565–3579, 2020
https://doi.org/10.5194/tc-14-3565-2020
The Cryosphere, 14, 3565–3579, 2020
https://doi.org/10.5194/tc-14-3565-2020

Research article 29 Oct 2020

Research article | 29 Oct 2020

Systematic bias of Tibetan Plateau snow cover in subseasonal-to-seasonal models

Wenkai Li et al.

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Cited articles

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Chen, X. N., Long, D., Hong, Y., Liang, S. L., and Hou, A. Z.: Observed radiative cooling over the Tibetan Plateau for the past three decades driven by snow cover-induced surface albedo anomaly, J. Geophys. Res.-Atmos., 122, 6170–6185, https://doi.org/10.1002/2017jd026652, 2017. 
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Short summary
Understanding the forecasting skills of the subseasonal-to-seasonal (S2S) model on Tibetan Plateau snow cover (TPSC) is the first step to applying the S2S model to hydrological forecasts over the Tibetan Plateau. This study conducted a multimodel comparison of the TPSC prediction skill to learn about their performance in capturing TPSC variability. S2S models can skillfully forecast TPSC within a lead time of 2 weeks but show limited skill beyond 3 weeks. Systematic biases of TPSC were found.
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