Evaluating precipitation prediction skill for the Huanan pre- and post-rainy seasons in ECMWF subseasonal forecasts

Author:

Liu Yanan1,Wu Qiong1,Zhang Yizhi1,Jiang Lujun1

Affiliation:

1. Jiangxi Academy of Sciences

Abstract

Abstract The rainy seasons in South China are divided into two phases according to the seasonal progression of the East Asian summer monsoon: the Huanan pre- and post-rainy seasons. The precipitation prediction skill for the two rainy seasons are investigated using subseasonal-to-seasonal (S2S) hindcast data from the European Centre for Medium-Range Weather Forecasts (ECMWF) for 2001–2019. The precipitation prediction skill and biases differ in the two rainy seasons, although some similar characteristics exist in regard to circulations and their influence on precipitation. During the two rainy seasons, the prediction skill of the circulation at 850 hPa in key areas is relatively high, and the circulation’s influence on precipitation is well captured; additionally, the relationship between the circulation in key areas at 500 hPa and precipitation is less accurately constrained. Moreover, the precipitation prediction skill in the prerainy season is higher than that in the post-rainy season. The main bias is that the 200 hPa westerly provides favorable divergence conditions for prerainy season precipitation (pre-precipitation), while the post-rainy season precipitation (post-precipitation) displays almost no correlation with the circulation in the reanalysis product; however, the simulated circulation at 200 hPa is both tightly connected to the precipitation in the two rainy seasons, so the lower prediction skill in the post-rainy season is likely associated with overestimation of the complex physical mechanism of the upper-level circulation in the model.

Publisher

Research Square Platform LLC

Reference46 articles.

1. Advances of research and application on major rainy seasons in China;Chen L;J Appl Meteorol Sci,2019

2. Circumglobal teleconnection in the northern hemisphere summer;Ding Q;J Clim,2005

3. Multiscale variability of meiyu and its prediction: a new review;Ding Y;J Geophys Res Atmos,2020

4. Statistical analysis of the relationship among warm sector heavy rainfall, upper and lower tropospheric jet stream and South Asia High in May and June from 2005 to 2008;Ding YH;J Trop Meteorol,2011

5. A study of the synoptic-climatology of the Meiyu system in East Asia;Ding YH;J Atmos Sci,2007

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3