4.7 Article

Ensemble-based sensitivity analysis and predictability of an extreme rainfall event over northern Taiwan in the Mei-yu season: The 2 June 2017 case

期刊

ATMOSPHERIC RESEARCH
卷 259, 期 -, 页码 -

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.atmosres.2021.105684

关键词

Ensemble-based sensitivity analysis; Ensemble forecast; Mei-yu front; Quasi-stationary rainband; Taiwan

资金

  1. Ministry of Science and Technology of Taiwan [MOST 108-2111-M-003-005-MY2, MOST 108-2625-M-003-001, MOST 109-2625-M-003-001]

向作者/读者索取更多资源

In this study, an ensemble-based sensitivity analysis was conducted on an extreme-rainfall event in northern Taiwan on June 2, 2017. The analysis identified several contributing factors to heavy rainfall in northern Taiwan, such as surface frontal position and moving speed, position of 700-hPa wind-shift line, environmental moisture amount near the surface front, timing and location of frontal low-pressure disturbance, and frontal intensity. These factors tend to increase local rainfall by lengthening the duration and enhancing near-surface convergence along the northwestern coast of Taiwan.
In the present study, an ensemble-based sensitivity analysis (ESA) on the extreme-rainfall event along the northern coast of Taiwan on 2 June 2017 in the Mei-yu season is performed using the results from 45 forecast members with a grid size of 2.5-5 km. An quasi-stationary rainband associated with the front produced localized rainfall up to 635 mm in 12 h (0000-1200 LST 2 June), causing serious flooding and inundation near the northern tip of Taiwan. With a relatively large spread (i.e., standard deviation or sigma), small ensemble mean (similar to 130 mm), and low probability of heavy rainfall in northern Taiwan, the ensemble indicates a lower predictability there, compared to the topographic rainfall over the mountains. However, the ESA allows for identification of several contributing factors to heavy rainfall in northern Taiwan in a quantitative manner as given below. With their impact given in change of (areal-mean) 6-h rainfall amount per one sigma increase, these factors include: (1) surface frontal position and moving speed (-16.00 mm per 5 km h(-1)), (2) position of 700-hPa wind-shift line (+12.59 mm per 0.4 degrees latitude), (3) environmental moisture amount near the surface front (+11.73 mm per 0.92 g kg(-1) in mixing ratio), (4) timing and location of frontal low-pressure disturbance (+11.03 mm per 1.38 degrees longitude), and (5) frontal intensity (+9.58 mm per 3 K in equivalent potential temperature difference across 0.5 degrees). While many of the factors identified are interconnected, they tend to increase the local rainfall through lengthening the duration and enhancing near-surface convergence along the northwestern coast of Taiwan over the area immediately upstream.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据