India Forecasts Below-Normal Monsoon Rainfall Amid El Niño Concerns
As El Nino shadow looms, IMD forecasts below-normal monsoon at 92% LPA
Hindustan Times
Image: Hindustan Times
The India Meteorological Department (IMD) predicts a below-normal monsoon this year, estimating rainfall at 92% of the Long Period Average (LPA), which could adversely affect agriculture and rural economies. El Niño conditions are expected to develop during the monsoon, further complicating the situation.
- 01IMD forecasts monsoon rainfall at 92% of LPA, with an error margin of +/-5%.
- 0251% of India's agricultural area is rain-fed, impacting food production and prices.
- 03El Niño conditions are likely to establish during July to September, affecting rainfall.
- 04There is a 35% chance of a deficient monsoon with less than 90% of LPA.
- 05Private forecaster Skymet Weather also predicts below-normal rainfall at 94% of LPA.
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The India Meteorological Department (IMD) has announced that India is expected to experience a below-normal monsoon in 2023, forecasting rainfall at 92% of the Long Period Average (LPA) of 87 cm from 1971 to 2020. This prediction carries significant implications for the country's rain-fed agriculture, with 51% of farmed land relying on monsoon rains, affecting 40% of agricultural production. The forecast indicates that regions in northeast, northwest, and southern Peninsular India may see normal to above-normal rainfall, while other areas could face challenges. El Niño conditions, which typically suppress monsoon rainfall, are anticipated to develop later in the season, particularly from July to September. IMD's statistical models suggest a 35% probability of a deficient monsoon, while private forecaster Skymet Weather aligns with IMD, predicting rainfall at around 94% of LPA with a 40% chance of below-normal rainfall. The potential impact on rural economies and food prices is a pressing concern as 47% of India's population relies on agriculture for their livelihoods.
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A below-normal monsoon could lead to increased food prices and reduced agricultural productivity, affecting rural livelihoods and consumption patterns.
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