Examine how the interaction between El Niño and global warming is altering the predictability and spatial distribution of the Indian summer monsoon. What implications does this have for agricultural planning?

El Niño is among the most predictable modes of natural variability, yet the 2026 season showed that forecasting its onset accurately does not translate into forecasting the monsoon accurately. IMD, using dynamical models, projected a below-normal season at about 90% of LPA [1] — the seasonal signal was captured, but the rainfall's timing and placement were not.

How the interaction erodes predictability

• Two clocks, two skills: ENSO evolves over months and is trackable; monsoon rain organises over days at meso-scale, where model resolution is weakest. IMD had to revise its outlook repeatedly through June and July as conditions shifted [2][3].
• Overlapping drivers: ENSO moved from neutral to moderate El Niño while the Indian Ocean Dipole was projected to turn positive only towards season-end [2][3]. Competing, out-of-phase drivers blur the signal.
• Warming adds noise: a warmer atmosphere holds more moisture, so suppressed seasons still generate short, violent bursts — statistical relationships built on past El Niño years lose reliability.

How spatial distribution shifts

• Deficit and deluge coexist: rainfall concentrates into fewer, heavier spells separated by long dry breaks, producing urban flooding within a deficient season.
• Sharper regional contrast: below-normal seasonal rainfall is not spread evenly; IMD's own spatial outlooks flag pockets of large deficiency alongside normal areas [3].
• Drinking water, reservoir and hydropower planning are stressed unevenly across basins [1].

Implications for agricultural planning

• Sowing windows shrink: a delayed or erratic onset compresses kharif sowing decisions, and re-sowing after a dry break raises input costs for smallholders.
• Crop choice must shift: contingency plans favouring short-duration, drought-tolerant varieties and millets become essential.
• Buffers matter more than forecasts: watershed recharge, micro-irrigation and crop insurance cushion forecast error better than any model upgrade alone.

Prediction skill will improve, but planning cannot wait on it. Strengthening sub-seasonal forecasting under the Monsoon Mission, coupling IMD advisories to district-level contingency plans, and expanding water buffers together convert an unpredictable monsoon into a manageable one — securing both farm incomes and climate resilience.