Impact of initialized land surface temperature and snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): Organization and experimental design

Subseasonal-to-seasonal (S2S) prediction, especially the prediction of extreme hydroclimate events such as droughts and floods, is not only scientifically challenging, but also has substantial societal impacts. Motivated by preliminary studies, the Global Energy and Water Exchanges (GEWEX)/Global Atmospheric System Study (GASS) has launched a new initiative called "Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction" (LS4P) as the first international grassroots effort to introduce spring land surface temperature (LST)/subsurface temperature (SUBT) anomalies over high mountain areas as a crucial factor that can lead to significant improvement in precipitation prediction through the remote effects of land-atmosphere interactions. LS4P focuses on process understanding and predictability, and hence it is different from, and complements, other international projects that focus on the operational S2S prediction. More than 40 groups worldwide have participated in this effort, including 21 Earth system models, 9 regional climate models, and 7 data groups.

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Author Xue, Y.
Yao, T.
Boone, A. A.
Diallo, I.
Liu, Y.
Zeng, X.
Lau, W. K. M.
Sugimoto, S.
Tang, Q.
Pan, X.
van Oevelen, P. J.
KLOCKE, D.
Koo, M.
Sato, T.
Lin, Z.
Takaya, Y.
Ardilouze, C.
Materia, S.
Saha, S. K.
Senan, R.
Nakamura, T.
Wang, H.
Yang, J.
Zhang, H.
Zhao, M.
Liang, X.
Neelin, J. D.
Vitart, F.
Li, X.
Zhao, P.
Shi, C.
Guo, W.
Tang, J.
Yu, M.
Qian, Y.
Shen, S. S. P.
Zhang, Y.
Yang, K.
Leung, R.
Qiu, Y.
Peano, D.
Qi, X.
Zhan, Y.
Brunke, M. A.
Chou, S. C.
Ek, Michael B.
Fan, T.
Guan, H.
Lin, H.
Liang, S.
Wei, H.
Xie, S.
Xu, H.
Li, W.
Shi, X.
Nobre, P.
Pan, Y.
Qin, Y.
Dozier, J.
Ferguson, C. R.
Balsamo, G.
Bao, Q.
Feng, J.
Hong, J.
Hong, S.
Huang, H.
Ji, D.
Ji, Z.
Kang, S.
Lin, Y.
Liu, W.
Muncaster, R.
De Rosnay, P.
Takahashi, H. G.
Wang, G.
Wang, S.
Wang, W.
Zhou, X.
Zhu, Y.
Publisher UCAR/NCAR - Library
Publication Date 2021-07-21T00:00:00
Digital Object Identifier (DOI) Not Assigned
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Topic Category geoscientificInformation
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Metadata Date 2025-07-11T16:13:47.194473
Metadata Record Identifier edu.ucar.opensky::articles:24584
Metadata Language eng; USA
Suggested Citation Xue, Y., Yao, T., Boone, A. A., Diallo, I., Liu, Y., Zeng, X., Lau, W. K. M., Sugimoto, S., Tang, Q., Pan, X., van Oevelen, P. J., KLOCKE, D., Koo, M., Sato, T., Lin, Z., Takaya, Y., Ardilouze, C., Materia, S., Saha, S. K., Senan, R., Nakamura, T., Wang, H., Yang, J., Zhang, H., Zhao, M., Liang, X., Neelin, J. D., Vitart, F., Li, X., Zhao, P., Shi, C., Guo, W., Tang, J., Yu, M., Qian, Y., Shen, S. S. P., Zhang, Y., Yang, K., Leung, R., Qiu, Y., Peano, D., Qi, X., Zhan, Y., Brunke, M. A., Chou, S. C., Ek, Michael B., Fan, T., Guan, H., Lin, H., Liang, S., Wei, H., Xie, S., Xu, H., Li, W., Shi, X., Nobre, P., Pan, Y., Qin, Y., Dozier, J., Ferguson, C. R., Balsamo, G., Bao, Q., Feng, J., Hong, J., Hong, S., Huang, H., Ji, D., Ji, Z., Kang, S., Lin, Y., Liu, W., Muncaster, R., De Rosnay, P., Takahashi, H. G., Wang, G., Wang, S., Wang, W., Zhou, X., Zhu, Y.. (2021). Impact of initialized land surface temperature and snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): Organization and experimental design. UCAR/NCAR - Library. https://n2t.org/ark:/85065/d71j9f6f. Accessed 30 July 2025.

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