edu.ucar.opensky::articles:24584 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T23:08:31.047702 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d71j9f6f https://doi.org/10.5281/zenodo.4383284 https Related Software #1 LS4P-I evaluation datasets for the paper Organization and Experimental design Impact of initialized land surface temperature and snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): Organization and experimental design 2021-07-21T00:00:00Z publication https://n2t.org/ark:/85065/d71j9f6f https://doi.org/10.5194/gmd-14-4465-2021 Xue, Y. author Yao, T. author Boone, A. A. author Diallo, I. author Liu, Y. author Zeng, X. author Lau, W. K. M. author Sugimoto, S. author Tang, Q. author Pan, X. author van Oevelen, P. J. author KLOCKE, D. author Koo, M. author Sato, T. author Lin, Z. author Takaya, Y. author Ardilouze, C. author Materia, S. author Saha, S. K. author Senan, R. author Nakamura, T. author Wang, H. author Yang, J. author Zhang, H. author Zhao, M. author Liang, X. author Neelin, J. D. author Vitart, F. author Li, X. author Zhao, P. author Shi, C. author Guo, W. author Tang, J. author Yu, M. author Qian, Y. author Shen, S. S. P. author Zhang, Y. author Yang, K. author Leung, R. author Qiu, Y. author Peano, D. author Qi, X. author Zhan, Y. author Brunke, M. A. author Chou, S. C. author Ek, Michael B. author Fan, T. author Guan, H. author Lin, H. author Liang, S. author Wei, H. author Xie, S. author Xu, H. author Li, W. author Shi, X. author Nobre, P. author Pan, Y. author Qin, Y. author Dozier, J. author Ferguson, C. R. author Balsamo, G. author Bao, Q. author Feng, J. author Hong, J. author Hong, S. author Huang, H. author Ji, D. author Ji, Z. author Kang, S. author Lin, Y. author Liu, W. author Muncaster, R. author De Rosnay, P. author Takahashi, H. G. author Wang, G. author Wang, S. author Wang, W. author Zhou, X. author Zhu, Y. author UCAR/NCAR - Library publisher 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. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation