Country to experience above-normal rainfall this monsoon: IMD

In what will bring good cheer to farmers and policy planners, experts predict that India is all set to experience above-normal monsoon rains this season on the back of favourable La Nina conditions.

Addressing a press conference, M Ravichandran, the secretary in the ministry of earth sciences, said that the seasonal rainfall will be on the higher side of 'above-normal', and pegged it at 106 per cent of the long-period average (87 cm).

Parts of the country are already battling extreme heat and a significantly high number of heat wave days are expected in the April to June period. This could strain power grids, and result in water shortages in several areas.

Monsoon critical for agriculture

The monsoon is critical for India's agricultural landscape, with 52 per cent of the net cultivated area relying on it. It is also crucial for the replenishing reservoirs critical for drinking water apart from power generation across the country.

A prediction of above-normal rainfall during the monsoon season, therefore, comes as a huge relief to the fast-developing South Asian nation. However, normal cumulative rainfall does not guarantee uniform temporal and spatial distribution of rain across the country, with climate change further increasing the variability of the rain-bearing system.

Below-normal rainfall

Parts of northwest, east and northeast India are expected to receive below-normal rainfall during the season, Mrutyunjay Mohapatra, the director general of the IMD, said during the presser.

However, models have not given any "clear signal" about monsoon rainfall for several parts of Madhya Pradesh, Rajasthan, Maharashtra, Odisha, Chhattisgarh, Madhya Pradesh, Uttar Pradesh and West Bengal, which form the core monsoon zone (agriculture primarily rain-fed) of the country.

The IMD chief said there is a 29 percent chance of normal rainfall, 31 percent chance of above-normal rainfall and 30 percent chance of excess precipitation during the monsoon season.

According to the IMD, rainfall between 96 per cent and 104 percent of a 50-year average of 87 cm is considered 'normal'.

Rainfall less than 90 percent of the long-period average is considered 'deficient', between 90 percent and 95 percent is 'below normal', between 105 percent and 110 percent is 'above normal' and more than 100 percent is 'excess' precipitation.

La Nina

Data from the 1951-2023 period shows India experienced above-normal rainfall in the monsoon season on all the nine occasions when La Nina followed an El Nino event, Mohapatra said.

The country gauged above-normal or normal monsoon in 20 out of the 22 La Nina years.

El Nino conditions are prevailing at present. ENSO neutral conditions are expected in the first half of the monsoon season. Thereafter, models suggest, La Lina conditions may set in by August-September, Mohapatra said.

Positive Indian Ocean Dipole conditions, favorable for the Indian monsoon, are predicted during the season. Also, the snow cover in the Northern Hemisphere and Eurasia is low. Therefore, all the conditions are conducive, he said.

El Nino conditions -- periodic warming of surface waters in the central Pacific Ocean -- are associated with weaker monsoon winds and drier conditions in India.

La Nina conditions - the antithesis of El Nino -- are the dominant factor in the likelihood of "above-normal" rainfall during the monsoon season, D S Pai, a senior scientist at the IMD, told PTI.

The IMD will provide an update on the onset of the monsoon over the Indian landmass and the rainfall distribution during June, July, August and September in mid-May, Mohapatra said. Three large-scale climatic phenomena are considered for forecasting monsoon season rainfall.

The first is El Nino, the second is the Indian Ocean Dipole (IOD), which occurs due to differential warming of the western and eastern sides of the equatorial Indian Ocean, and the third is the snow cover over the northern Himalayas and the Eurasian landmass, which also has an impact on the Indian monsoon through the differential heating of the landmass.

(With inputs from agencies)