An extratropical window of opportunity for subseasonal prediction of East Asian summer surface air temperature

被引:4
|
作者
Yang, Jing [1 ]
Zhu, Tao [1 ]
Vitart, Frederic [2 ]
机构
[1] Beijing Normal Univ, Fac Geog Sci, Key Lab Environm Change & Nat Disaster, Beijing 100875, Peoples R China
[2] European Ctr Medium Range Weather Forecasts ECMWF, Reading, England
基金
中国国家自然科学基金;
关键词
TIBETAN PLATEAU; SEASONAL PREDICTION; MONSOON; VARIABILITY; WAVE; CIRCULATION; PATTERNS; SKILL;
D O I
10.1038/s41612-023-00384-5
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Previous studies suggest that boreal summer intraseasonal variations along the subtropical westerly jet (SJ), featuring quasi-biweekly periodicity, frequently modulate downstream subseasonal variations over East Asia (EA). Based on subseasonal hindcasts from six dynamical models, this study discovered that the leading two-three-week prediction skills for surface air temperature (SAT) are significantly higher in summer with stronger intraseasonal oscillation along the SJ, which are best demonstrated over the eastern Tibetan Plateau, Southwest Basin, and North China. The reasons are that the enhanced quasi-biweekly wave and its energy dispersion along the SJ cause more regular quasi-biweekly periodic variations of downstream SAT, which potentially increase regional predictability. This study suggests that the strengthened intraseasonal periodic signals along the SJ would enhance the subseasonal predictability in downstream regions, which could provide a window of opportunity for achieving better subseasonal prediction for EA SAT.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] An extratropical window of opportunity for subseasonal prediction of East Asian summer surface air temperature
    Jing Yang
    Tao Zhu
    Frederic Vitart
    [J]. npj Climate and Atmospheric Science, 6
  • [2] Opportunities and Barriers for Skillful Subseasonal Prediction of East Asian Summer Precipitation
    Liu, Fei
    Zhou, Jiahui
    Wang, Bin
    Leung, Jeremy Cheuk-Hin
    Chen, Deliang
    Lin, Zhongda
    Kang, In-Sik
    Chao, Qingchen
    Ke, Zongjian
    Fan, Ke
    Liu, Boqi
    Huang, Gang
    Hsu, Pang-Chi
    Dong, Wenjie
    [J]. Bulletin of the American Meteorological Society, 2024, 105 (11)
  • [3] Dominant Modes of Subseasonal Variability of East Asian Summertime Surface Air Temperature and Their Predictions
    Liang, Ping
    Lin, Hai
    Ding, Yihui
    [J]. JOURNAL OF CLIMATE, 2018, 31 (07) : 2729 - 2743
  • [4] Subseasonal Prediction of Wintertime East Asian Temperature Based on Atmospheric Teleconnections
    Yoo, Changhyun
    Johnson, Nathaniel C.
    Chang, Chueh-Hsin
    Feldstein, Steven B.
    Kim, Young-Ha
    [J]. JOURNAL OF CLIMATE, 2018, 31 (22) : 9351 - 9366
  • [5] Peak-summer East Asian rainfall predictability and prediction part II: extratropical East Asia
    So-Young Yim
    Bin Wang
    Wen Xing
    [J]. Climate Dynamics, 2016, 47 : 15 - 30
  • [6] Interdecadal variations in winter extratropical anticyclones in East Asia and their impacts on the decadal mode of East Asian surface air temperature
    Xiefei Zhi
    Xiao Tian
    Peng Liu
    Yaoxing Hu
    [J]. Meteorology and Atmospheric Physics, 2019, 131 : 1763 - 1775
  • [7] Peak-summer East Asian rainfall predictability and prediction part II: extratropical East Asia
    Yim, So-Young
    Wang, Bin
    Xing, Wen
    [J]. CLIMATE DYNAMICS, 2016, 47 (1-2) : 15 - 30
  • [8] Interdecadal variations in winter extratropical anticyclones in East Asia and their impacts on the decadal mode of East Asian surface air temperature
    Zhi, Xiefei
    Tian, Xiao
    Liu, Peng
    Hu, Yaoxing
    [J]. METEOROLOGY AND ATMOSPHERIC PHYSICS, 2019, 131 (06) : 1763 - 1775
  • [9] Subseasonal Reversal of East Asian Surface Temperature Variability in Winter 2014/15
    Xinping XU
    Fei LI
    Shengping HE
    Huijun WANG
    [J]. Advances in Atmospheric Sciences, 2018, 35 (06) : 737 - 752
  • [10] Subseasonal Reversal of East Asian Surface Temperature Variability in Winter 2014/15
    Xu, Xinping
    Li, Fei
    He, Shengping
    Wang, Huijun
    [J]. ADVANCES IN ATMOSPHERIC SCIENCES, 2018, 35 (06) : 737 - 752