Evaluate the accuracy and limitations of IMD's Long Range Forecast system. How can improvements in seasonal forecasting strengthen India's agricultural planning?

IMD's Long Range Forecast (LRF) predicts June–September rainfall as a percentage of the Long Period Average (87 cm, 1971–2020 base), issued in two stages and updated monthly. Its 2026 call of 90% of LPA ± 4% [1] shows both the system's maturing skill and its persisting uncertainty band.

Strengths / accuracy

• Dynamical upgrade: the Monsoon Mission Coupled Forecast System (MMCFS), built under the National Monsoon Mission (MoES, 2012) with IITM, INCOIS and NCMRWF, replaced purely statistical models with coupled ocean–atmosphere prediction [3].
• Multi-model ensemble blending global climate models has improved seasonal skill, and IMD now issues short, extended and seasonal range products operationally [4].
• ENSO signal captured early: the developing El Niño was flagged in the pre-season forecast, and the seasonal outlook was correctly revised downward from 92% to 90% of LPA [1][2].
• Probabilistic honesty: IMD publishes category probabilities — 2026 carried an 84% chance of below-normal or less rainfall [2] — rather than a single misleading number.

Limitations

• Coarse spatial scale: forecasts are national and broad-regional (Northwest, Central, Peninsular, Northeast) [2], not district- or block-level where sowing decisions are actually taken.
• Wide error margin (± 4–5%) can straddle the "normal–below normal–deficient" boundaries, blunting policy signals.
• Weak modelling of secondary drivers: IOD and Madden–Julian Oscillation evolution remains uncertain, and IMD and foreign agencies have offered divergent IOD outlooks for 2026 [1].
• Timing gaps: intra-seasonal breaks, onset variability and rainfall distribution — which decide crop outcomes — are harder to predict than seasonal totals.

Seasonal forecasting is therefore directionally reliable but operationally coarse. Downscaling to block level, coupling forecasts with agro-advisories, contingency crop plans and drought-tolerant seed buffers, and linking triggers to PMFBY/RWBCIS payouts [5] would convert warning into preparedness — advancing the constitutional promise of farmer welfare and SDG-2 (Zero Hunger).