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The Cryosphere An interactive open-access journal of the European Geosciences Union
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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.
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TC | Articles | Volume 14, issue 10
TC | Articles | Volume 14, issue 10
The Cryosphere, 14, 3565–3579, 2020
https://doi.org/10.5194/tc-14-3565-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 14, 3565–3579, 2020
https://doi.org/10.5194/tc-14-3565-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
TC | Articles | Volume 14, issue 10

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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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.
Read more
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The Cryosphere

An interactive open-access journal of the European Geosciences Union

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