@Article{XueDBYZZDLPLPTVSKMSYALQNSSTWZZPCFBFHNPQVXZKLLEGBBCRLZQZTLHJJQSWYY:2022:InImPr,
               author = "Xue, Yongkang and Diallo, Ismaila and Boone, Aaron A. and Yao, 
                         Tandong and Zhang, Yang and Zeng, Xubin and David Neelin, J. and 
                         Lau, William K. M. and Pan, Yan and Liu, Ye and Pan, Xiaoduo and 
                         Tang, Qi and Van Oevelen, Peter J. and Sato, Tomonori and Koo, 
                         Myung-Seo and Materia, Stefano and Shi, Chunxiang and Yang, Jing 
                         and Ardilouze, Constantin and Lin, Zhaohui and Qi, Xin and 
                         Nakamura, Tetsu and Saha, Subodh K. and Senan, Retish and Takaya, 
                         Yuhei and Wang, Hailan and Zhang, Hongliang and Zhao, Mei and 
                         Prasad Nayak, Hara and Chen, Qiuyu and Feng, Jinming and Brunke, 
                         Michael A. and Fan, Tianyi and Hong, Songyou and Nobre, Paulo and 
                         Peano, Daniele and Qin, Yi and Vitart, Frederic and Xie, Shaocheng 
                         and Zhan, Yanling and Klocke, Daniel and Leung, Ruby and Li, Xin 
                         and Ek, Michael and Guo, Weidong and Balsamo, Gianpaolo and Bao, 
                         Qing and Chou, Sin Chan and de Rosnay, Patricia and Lin, Yanluan 
                         and Zhu, Yuejian and Qian, Yun and Zhao, Ping and Tang, Jianping 
                         and Liang, Xin-Zhong and Hong, Jinkyu and Ji, Duoying and Ji, 
                         Zhenming and Qiu, Yuan and Sugimoto, Shiori and Wang, Weicai and 
                         Yang, Kun and Yu, Miao",
          affiliation = "{} and {} and {} and {} and {} and {} and {} and {} and {} and {} 
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                         and {} and {} and {} and {} and {} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {} and {} and {} and {} and {} and 
                         {} and {} and {} and {} and {} and {} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Spring Land Temperature in Tibetan Plateau and Global-Scale Summer 
                         Precipitation - Initialization and Improved Prediction",
              journal = "Bulletin of The American Meteorological Society",
                 year = "2022",
               volume = "103",
               number = "12",
                pages = "E2756--E2767",
             keywords = "Atmosphere, Atmosphere-land interaction, Ensembles, Numerical 
                         weather prediction/forecasting, General circulation models, Model 
                         initialization.",
             abstract = "Subseasonal-to-seasonal (S2S) precipitation prediction in boreal 
                         spring and summer months, which contains a significant number of 
                         high-signal events, is scientifically challenging and prediction 
                         skill has remained poor for years. Tibetan Plateau (TP) spring 
                         observed surface ­temperatures show a lag correlation with summer 
                         precipitation in several remote regions, but current global 
                         landatmosphere coupled models are unable to represent this 
                         behavior due to significant errors in producing observed TP 
                         surface temperatures. To address these issues, the Global Energy 
                         and Water Exchanges (GEWEX) program launched the Impact of 
                         Initialized Land Temperature and Snowpack on 
                         Subseasonal-to-Seasonal Prediction (LS4P) initiative as a 
                         community effort to test the impact of land temperature in 
                         high-mountain regions on S2S prediction by climate models: more 
                         than 40 institutions worldwide are participating in this project. 
                         After using an innovative new land state initialization approach 
                         based on observed surface 2-m temperature over the TP in the LS4P 
                         experiment, results from a multimodel ensemble provide evidence 
                         for a causal relationship in the observed association between the 
                         Plateau spring land temperature and summer precipitation over 
                         several regions across the world through teleconnections. The 
                         influence is underscored by an out-of-phase oscillation between 
                         the TP and Rocky Mountain surface temperatures. This study reveals 
                         for the first time that high-mountain land temperature could be a 
                         substantial source of S2S precipitation predictability, and its 
                         effect is probably as large as ocean surface temperature over 
                         global hotspot regions identified here; the ensemble means in some 
                         hotspots produce more than 40% of the observed anomalies. This 
                         LS4P approach should stimulate more follow-on explorations.",
                  doi = "10.1175/BAMS-D-21-0270.1",
                  url = "http://dx.doi.org/10.1175/BAMS-D-21-0270.1",
                 issn = "0003-0007",
                label = "lattes: 4336175279058172 48 
                         
                         XueDBYZZDLPLPTVSKMSYALQNSSTWZZPCFBFHNPQVXZKLLEGBBCRLZQZTLHJJQSWYY:2022:InImPr",
             language = "en",
           targetfile = "1520-0477-BAMS-D-21-0270.1.pdf",
        urlaccessdate = "06 jun. 2024"
}