The application of predefined weather patterns over India within probabilistic medium-range forecasting tools for high-impact weather

Meteorological applications

article

Robert Neal¹  Galina Guentchev¹  T Arulalan³  Joanne Robbins¹  Ric Crocker¹  Ashis Mitra⁷  A. Jayakumar⁷ 

[1] Department of Weather Science, Met Office;Contribution: Conceptualization;India Meteorological Department ,(IMD), Ministry of Earth Sciences;Centre for Atmospheric Sciences, Indian Institute of Technology Delhi;Contribution: Conceptualization ,(supporting), Methodology ,(supporting), Project administration;Contribution: Formal analysis;National Centre for Medium-Range Weather Forecasting ,(NCMRWF), Ministry of Earth Sciences

关键词: India;    monsoon;    probability forecasts;    rainfall;    weather patterns;   

DOI  :  10.1002/met.2083

学科分类：社会科学、人文和艺术（综合）

来源: Wiley

【 摘 要 】

A method is presented for deriving probabilistic medium-range (1-to-2-week) weather pattern forecasts for India. This method uses an existing set of 30 objectively derived daily weather patterns, which provide climatological representations for unique states in the large-scale circulation over India. Weather pattern forecast probabilities are based on the number of ensemble members objectively assigned to each weather pattern. Two summer monsoon case studies illustrate the best use of the forecasting tool within medium-range guidance, such as highlighting the most likely weather pattern transitions and relating these to the likelihood of weather impacts. Forecast skill is evident out to at least 10–15 days. Winter dry period weather patterns have the highest forecast skill, closely followed by retreating monsoon weather patterns. In contrast, monsoon onset and break monsoon weather patterns have the lowest forecast skill. Finally, a prototype weather pattern forecast climatology application is presented for use in highlighting when extreme rainfall is more likely than normal. This application is based on weather pattern empirical probabilities of threshold exceedances using a high-resolution regional reanalysis. The transitional pre- and post-monsoon seasons have the greatest variability in rainfall across all possible weather patterns, with a slight dip in variability during the main summer monsoon season. In contrast, very little variability across weather patterns is evident during the relatively dry winter months. This highlights the times of year when a climatology-based weather pattern forecasting approach may have its greatest benefits over that of a basic daily climatology.

【 授权许可】

CC BY|CC BY-NC|CC BY-NC-ND