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Triple-dip La Niña (2020-2022) and its impact on Indian Summer Monsoon Rainfall: Insight from the Monsoon Mission Coupled Forecasting System

气候学 季风 厄尔尼诺南方涛动 环境科学 拉尼娜现象 大气科学 气象学 地理 地质学
作者
Satyaban B. Ratna,Madhuri Musale,Tanu Sharma,C. T. Sabeerali,P. Rohini,Arti Bandgar,O. P. Sreejith,K. S. Hosalikar
出处
期刊:Mausam [India Meteorological Department]
卷期号:75 (3): 759-768 被引量:2
标识
DOI:10.54302/mausam.v75i3.6283
摘要

The El Niño-Southern Oscillation (ENSO) is the most important driver of the Indian summer monsoon rainfall (ISMR) interannual variability. In recent years, there have been three consecutive La Niña years (2020–2022), which are widely known as the ‘triple-dip’ La Niña. This study discusses the observed variations in SST and ISMR during these triple-dip La Niña episodes. It was seen from the observed record that there have been four instances of triple-dip La Niña occurrences (1954–1956, 1973–1975, 1998–2000, and 2020–2022) during which ISMR was on the positive side of normal for most of the years. This study also evaluates the performance of the operational Monsoon Mission Climate Forecasting System (MMCFS) model in forecasting La Niña and its associated variability in ISMR during the recent triple-dip La Niña period (2020–2022). The results indicate that the model successfully forecasts the strength and patterns of La Niña during the monsoon season when initialized with April and May initial conditions. The model also forecasts the above-normal rainfall over many parts of India accurately. However, it fails to forecast the observed below-normal rainfall over the central-east Indo-Gangetic plains and northeast India for all three years. While climate models generally exhibit skill in forecasting ENSO-associated Indian summer monsoon seasonal rainfall, accurately predicting the spatial variability of rainfall over India remains a challenge.

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