Nowcast Guidance of Afternoon Convection Initiation for Taiwan

Author:

Chang Hui-Ling1,Brown Barbara G.2,Chu Pao-Shin3,Liou Yu-Chieng4,Wang Wen-Ho5

Affiliation:

1. Research and Development Center, Central Weather Bureau, Taipei, Taiwan

2. National Center for Atmospheric Research, Boulder, Colorado

3. Department of Atmospheric Sciences, School of Ocean and Earth Science and Technology, University of Hawai‘i at Mānoa, Honolulu, Hawaii

4. Department of Atmospheric Sciences, National Central University, Jhong-Li, Taiwan

5. Meteorological Satellite Center, Central Weather Bureau, Taipei, Taiwan

Abstract

Abstract Focusing on afternoon thunderstorms in Taiwan during the warm season (May–October) under weak synoptic forcing, this study applied the Taiwan Auto-NowCaster (TANC) to produce 1-h likelihood nowcasts of afternoon convection initiation (ACI) using a fuzzy logic approach. The primary objective is to design more useful forecast products with uncertainty regions of predicted thunderstorms to provide nowcast guidance of ACI for forecasters. Four sensitivity tests on forecast performance were conducted to improve the usefulness of nowcasts for forecasters. The optimal likelihood threshold (Lt) for ACIs, which is the likelihood value that best corresponds to the observed ACIs, was determined to be 0.6. Because of the high uncertainty on the exact location or timing of ACIs in nowcasts, location displacement and temporal shifting of ACIs should be considered in operational applications. When a spatial window of 5 km and a temporal window of 18 min are applied, the TANC displays moderate accuracy and satisfactory discrimination with an acceptable degree of overforecasting. The nonparametric Mann–Whitney test indicated that the performance of the TANC substantially surpasses the competing Space and Time Multiscale Analysis System–Weather Research and Forecasting Model, which serves as a pertinent reference for short-range (0–6 h) forecasts at the Central Weather Bureau in Taiwan.

Funder

Ministry of Science and Technology

Publisher

American Meteorological Society

Subject

Atmospheric Science

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