主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2025, Vol. 41 ›› Issue (2): 11-19.doi: 10.3969/j.issn.1673-503X.2025.02.002

• ARTICLES • Previous Articles     Next Articles

Evaluation of MODES data products for summer precipitation forecasts in Northeast China during 1982-2022

QU Meihui1,2, TU Gang1,2, LIU Changzheng3, LI Shangfeng1,2, LI Yupeng1,2, LU Zengxin1,2, REN Hang1,2, ZHAO Shuhong4   

  1. 1. Jilin Meteorological Sciences Institute, Changchun 130062, China;
    2. Jilin Province Key Laboratory of Changbai Mountain Meteorology & Climate Change, Changchun 130062, China;
    3. National Climate Centre, Beijing 100081, China;
    4. Changbai Meteorological Service, Baishan 134400, China
  • Received:2023-11-14 Revised:2024-01-12 Online:2025-04-28 Published:2025-06-20

Abstract: This study evaluates the forecast performance of summer precipitation in Northeast China from four MODES model data products,comprehensive trend anomaly test score (Ps),anomaly sign consistency rate (Pc),anomaly correlation coefficient (ACC),and temporal correlation coefficient (TCC).The spatial distribution of anomalies between predicted and observed values from each model was analyzed.The results show that MODES data products performed well in predicting anomalous trends of summer precipitation in Northeast China.MODESv2_NCC had the highest number of stations with statistically significant positive correlations between predicted and observed summer precipitation,mainly in the Songhua River and Liao River basins,and outperformed other models.The average regional Ps and Pc for all models were 63.0 points and 50.0%,respectively,with MODESv2_ECMWF achieving the best performance (average Ps:66.4 points,Pc:51.8%).All models performed better in forecasting precipitation deficits than surpluses,with MODESv2_NCC,MODESv2_JMA,and MODESv2_NCEP showing good performance for below-normal summer precipitation forecasts in the southern region of the Songliao Basin.

Key words: Comprehensive evaluation score, Precipitation anomaly, Precipitation forecast, Songliao Basin

CLC Number: