Skilful Forecasts of Summer Rainfall in the Yangtze River Basin from November

被引:3
作者
Bett, Philip E. [1 ]
Dunstone, Nick [1 ]
Golding, Nicola [1 ]
Smith, Doug [1 ]
Li, Chaofan [2 ,3 ]
机构
[1] Met Off Hadley Ctr, FitzRoy Rd, Exeter EX1 3PB, England
[2] Chinese Acad Sci, Inst Atmospher Phys, Ctr Monsoon Syst Res, Beijing 100029, Peoples R China
[3] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
关键词
seasonal forecasting; interannual forecasting; flood forecasting; Yangtze basin rainfall; East Asian summer monsoon; EASTERN CHINA; CLIMATE; PREDICTION; VARIABILITY; PREDICTABILITY; ANOMALIES;
D O I
10.1007/s00376-023-2251-2
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Variability in the East Asian summer monsoon (EASM) brings the risk of heavy flooding or drought to the Yangtze River basin, with potentially devastating impacts. Early forecasts of the likelihood of enhanced or reduced monsoon rainfall can enable better management of water and hydropower resources by decision-makers, supporting livelihoods and major economic and population centres across eastern China. This paper demonstrates that the EASM is predictable in a dynamical forecast model from the preceding November, and that this allows skilful forecasts of summer mean rainfall in the Yangtze River basin at a lead time of six months. The skill for May-June-July rainfall is of a similar magnitude to seasonal forecasts initialised in spring, although the skill in June-July-August is much weaker and not consistently significant. However, there is some evidence for enhanced skill following El Nino events. The potential for decadal-scale variability in forecast skill is also examined, although we find no evidence for significant variation.
引用
收藏
页码:2082 / 2091
页数:10
相关论文
共 50 条
  • [31] Extraordinary hot extreme in summer 2022 over the Yangtze River basin modulated by the La Nina condition under global warming
    Liao, Zhen
    Yuan, Yu-Feng
    Chen, Yang
    Zhai, Pan-Mao
    ADVANCES IN CLIMATE CHANGE RESEARCH, 2024, 15 (01): : 21 - 30
  • [32] Diurnal variation of rainfall in the Yangtze River Valley during the spring-summer transition from TRMM measurements
    Chen, Guixing
    Sha, Weiming
    Iwasaki, Toshiki
    Ueno, Kenichi
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2012, 117
  • [33] How Frequently Will the Persistent Heavy Rainfall over the Middle and Lower Yangtze River Basin in Summer 2020 Happen under Global Warming?
    Ge, Zi-An
    Chen, Lin
    Li, Tim
    Wang, Lu
    ADVANCES IN ATMOSPHERIC SCIENCES, 2022, 39 (10) : 1673 - 1692
  • [34] A Moving Updated Statistical Prediction Model for Summer Rainfall in the Middle-Lower Reaches of the Yangtze River Valley
    Guo, Yan
    Li, Jianping
    Zhu, Jiangshan
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2017, 56 (08) : 2275 - 2287
  • [35] Skilful prediction of Sahel summer rainfall on inter-annual and multi-year timescales
    Sheen, K. L.
    Smith, D. M.
    Dunstone, N. J.
    Eade, R.
    Rowell, D. P.
    Vellinga, M.
    NATURE COMMUNICATIONS, 2017, 8
  • [36] Multivariate Regression Analysis and Statistical Modeling for Summer Extreme Precipitation over the Yangtze River Basin, China
    Gao, Tao
    Xie, Lian
    ADVANCES IN METEOROLOGY, 2014, 2014
  • [37] Skilful Real-Time Seasonal Forecasts of the Dry Northern European Summer 2018
    Dunstone, Nick
    Smith, Doug
    Hardiman, Steven
    Eade, Rosie
    Gordon, Margaret
    Hermanson, Leon
    Kay, Gillian
    Scaife, Adam
    GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (21) : 12368 - 12376
  • [38] Changes in summer monsoon rainfall in the Upper Chao Phraya River Basin, Thailand
    Singhrattna, Nkrintra
    Babel, Mukand Singh
    CLIMATE RESEARCH, 2011, 49 (02) : 155 - 168
  • [39] Improving Multi-model Ensemble Probabilistic Prediction of Yangtze River Valley Summer Rainfall
    Li Fang
    Lin Zhongda
    ADVANCES IN ATMOSPHERIC SCIENCES, 2015, 32 (04) : 497 - 504
  • [40] Vertical microphysical structures of summer heavy rainfall in the Yangtze-Huaihe River Valley from GPM DPR data
    Hu, Peng
    Kou, Leilei
    Wang, Wenjiao
    Gao, Haiyang
    Xie, Yanqing
    Zhang, Liguo
    Shang, Jian
    ATMOSPHERIC RESEARCH, 2025, 315