@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 {} and {} and {} and {}
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 = "16 jun. 2024"
}