360° UPSC Mains Analysis

India

The Southwest Monsoon (June-September) accounts for approximately 75% of India's annual rainfall. A forecast of 92% of the Long Period Average (87 cm) indicates a 'below normal' monsoon, which is statistically defined as rainfall between 90-96% of the LPA.

India is bounded by the Himalayan mountain range to the north, the Arabian Sea to the west, and the Bay of Bengal to the east. Its peninsular geography facilitates the bifurcation of the southwest monsoon into two distinct branches: the Arabian Sea branch and the Bay of Bengal branch.

The monsoon is the lifeline of Indian agriculture, crucial for Kharif crops like rice, pulses, and oilseeds. It determines the water levels in major reservoirs, impacts hydroelectric power generation, and is a primary driver of the rural economy and food security.

Under the Seventh Schedule of the Constitution, 'Meteorological organisations' falls under Entry 68 of the Union List (List I), giving the Center exclusive jurisdiction over monsoon forecasting. However, 'Agriculture' (Entry 14) and 'Water' (Entry 17) fall under the State List (List II), making drought declaration and ground-level relief a primary responsibility of State governments. This division of subjects necessitates robust cooperative federalism, where the Center provides scientific data and financial assistance through disaster funds, while States execute mitigation and relief measures.

Deficient rainfall is likely to reduce agricultural export surpluses, prompting the government to extend or impose export bans on essential commodities (such as non-basmati white rice, sugar, and onions) to secure domestic supply. This will reduce agricultural export earnings and potentially widen the trade deficit. Concurrently, imports of edible oils and pulses may rise to bridge the domestic supply gap.

A below-normal southwest monsoon (92% of LPA) threatens to drag down agricultural GVA growth, which typically contributes 15-18% to India's GDP. It is likely to stoke food inflation (CPI), forcing the Reserve Bank of India (RBI) to maintain a hawkish monetary policy stance, potentially dampening overall economic growth. Additionally, increased government spending on drought relief and subsidies could strain the fiscal deficit target.

The primary sector (agriculture and allied activities) will face direct output contraction, particularly affecting water-intensive Kharif crops like paddy, pulses, and oilseeds. In the secondary sector, FMCG, tractor, and fertilizer industries will experience a slowdown due to weakened rural demand. The tertiary sector, especially rural banking and microfinance institutions, may witness a rise in Non-Performing Assets (NPAs) as farm incomes decline.

Rural employment and wages will face severe downward pressure, leading to a surge in demand for distress employment under MGNREGA. Supply chains for food processing and retail industries will be disrupted due to raw material shortages, leading to higher consumer prices for essential food items. This will disproportionately impact low-income households, reducing their discretionary spending power.

The systematic forecasting of the Indian monsoon dates back to the colonial era, catalyzed by the devastating Great Famine of 1876–1878. Following this crisis, the British colonial administration established the India Meteorological Department (IMD) in 1875 to centralize meteorological observations. The first operational long-range forecast for the southwest monsoon was issued in June 1886 by Henry Francis Blanford, establishing India as a pioneer in systematic seasonal weather forecasting.

Post-independence, India's monsoon policy shifted from mere observation to securing agricultural self-reliance, especially after the severe droughts of the mid-1960s that prompted the Green Revolution. In 1988, the IMD introduced the 16-parameter Gowariker model to improve forecasting accuracy, moving away from the colonial-era Walker model. The policy evolved further with the launch of the National Monsoon Mission in 2012 to develop dynamic, coupled ocean-atmospheric models. Most recently, the Union Cabinet approved 'Mission Mausam' on September 11, 2024, with a budget of ₹2,000 crore to make India a 'Weather-ready and Climate-smart Nation' through advanced AI/ML and high-performance computing.

The projected below-normal monsoon of 2026 draws a direct parallel to the drought year of 2015, where the IMD's initial forecast of 93% LPA underestimated the severity, resulting in an actual rainfall of 86% and widespread agricultural distress. Historically, such deficits mirror the severe drought of 1987, which exposed the limitations of the then-existing statistical models and forced a complete overhaul of India's forecasting methodology.

The vulnerability of Indian agriculture to monsoon failures was a central theme in the economic critique of British rule by early nationalists like Dadabhai Naoroji and Romesh Chunder Dutt. They argued that colonial land revenue policies and the lack of state-sponsored irrigation infrastructure turned natural monsoon deficits into man-made, devastating famines.

Below-normal monsoon rainfall directly impacts water availability in critical wildlife habitats, such as the Western Ghats and Central Indian Tiger Reserves (e.g., Kanha and Pench), leading to dried-up waterholes and increased human-wildlife conflict. It also exacerbates forest fire risks in dry deciduous forests and disrupts the breeding cycles of wetland birds in Ramsar sites across India.

The IMD utilizes advanced dynamical models like the Monsoon Mission Climate Forecast System (MMCFS) alongside supercomputing infrastructure to simulate ocean-atmospheric coupling. Additionally, satellite remote sensing data from ISRO's INSAT-3D and INSAT-3DR are critical for monitoring sea surface temperatures, soil moisture, and El Niño-Southern Oscillation (ENSO) indicators that influence monsoon dynamics.

The increasing frequency of erratic monsoons and extreme weather events is a direct consequence of global warming and rising sea surface temperatures, which disrupt traditional monsoon wind patterns. This underscores the urgency of India's Nationally Determined Contributions (NDCs) under the Paris Agreement, particularly the focus on building climate resilience and adapting to water stress.

A below-normal monsoon directly threatens SDG 1 (No Poverty) and SDG 2 (Zero Hunger) by impacting agricultural productivity and rural livelihoods. It also hinders progress on SDG 6 (Clean Water and Sanitation) due to depleted groundwater aquifers, emphasizing the need for a green economy transition focused on climate-resilient agriculture and micro-irrigation.

Reduced monsoon rainfall directly threatens agricultural livelihoods, forcing distress migration to urban slums, which strips families of their dignity and stable living conditions. It severely curtails access to clean drinking water and sanitation, escalating water-borne diseases and exacerbating rural indebtedness and mental health crises among farmers.

A weak monsoon threatens the Right to Life under Article 21 of the Constitution, which encompasses the right to clean drinking water, food, and a dignified livelihood. It also directly impacts Directive Principles of State Policy, specifically Article 39(b) regarding the equitable distribution of material resources, and Article 47, which mandates the State to raise the level of nutrition and standard of living of its people.

As a District Magistrate, I would face the ethical dilemma of resource allocation: prioritizing drinking water security for human survival versus diverting water to sustain standing crops and local industries to prevent economic collapse. Additionally, balancing immediate relief distribution (equity) with long-term fiscal prudence and preventing leakages (efficiency) presents a significant administrative and moral challenge.

A below-normal monsoon disproportionately impacts rural women who must travel further for water, increasing their physical burden and time poverty. Small and marginal farmers, predominantly belonging to SC/ST and EWS categories, face severe crop failures, leading to debt traps, distress migration, and malnutrition among children and the elderly due to reduced food security.