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Global precipitation anomaly

Rainfall
Analysis

JJAS 2002 precipitation anomaly · IMERG gridded rainfall dataset

Indian Summer Monsoon Drivers

Heat builds, jet stream caps it
Sub-tropical jet stream ridge trapping heat over NW India and Tibet

NW India and Tibet heat up intensely, but the sub-tropical jet stream's ridge still sits overhead, trapping the heat below it. Result: hot and dry, March–May.

Jet stream jumps north
Tropical Easterly Jet forming over peninsular India as the jet stream shifts north

In late May the jet stream suddenly shifts north of the Tibetan Plateau, removing the cap and triggering the monsoon's abrupt onset. This also allows the Tropical Easterly Jet (TEJ) to form over peninsular India, reversing the upper-air circulation.

ITCZ shifts, monsoon trough forms
Three-cell atmospheric circulation showing Hadley, Ferrel, and Polar cells

With the upper-air circulation reversed, the ITCZ shifts north to 20–25°N in July, settling over the Indo-Gangetic Plain as the Monsoon Trough — the axis of maximum rainfall, fed by the Arabian Sea and Bay of Bengal branches.

Somali Jet accelerates inflow
Orographic rainfall as the Somali Jet accelerates moist air across the Arabian Sea

A fast low-level jet off the coast of Somalia accelerates moist air across the Arabian Sea, feeding the Arabian Sea branch of the monsoon into the trough with even greater force.

Steady rain feeds the trough
Steady seasonal rain feeding the monsoon trough from the Arabian Sea and Bay of Bengal

The Arabian Sea and Bay of Bengal branches feed the trough continuously through June–September, sustaining India's main rainy season — with year-to-year strength shaped by how intensely the Tibetan Plateau heated up and the phase of the Indian Ocean Dipole.

Explore Data

District-level view

Regionally, the Western Ghats and Northeast India gets the heaviest monsoon rainfall. For each district below, the map shows the average rainfall it typically recieves, along with by how much the rainfall has been changing over time.

i IMDAA Reanalysis
High-resolution (~12 km) spatial analysis
i GPM IMERG
30-min, 0.1° × 0.1° resolution satellite-based precipitation estimate
Mean Rainfall Scale (mm)

Selected District

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Mean Rainfall
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Select a district on the map to reveal rainfall indicators.

Trend

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Variability

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Rainfall Comparison Tool

Ground based gridded observational rainfall data is difficult to measure at very fine spatial scales than the assimilated or satellite data. The IMD one-degree resolution, long-term observational data for India is available, with this we explore different aspects of the monsoon, such as dry-day counts, the spatial extent of extreme rainfall, and mean rainfall by state, over a much longer period. These variables also help characterise the monsoon's active and break spells, onset or withdrawal variability.

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Rainfall Comparison

State A
State B

State Statistics

State A
Max mean
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Min mean
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Mean
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Trend
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Variability
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State B
Max mean
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Min mean
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Mean
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Trend
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Variability
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Data unavailable is currently under review

Trend Summary

Monsoon rainfall across India shows a declining trend over the past 70 years, with increased variability in recent decades.

References

India Meteorological Department (IMD). Gridded Daily Rainfall Dataset (1901–2020). https://imdpune.gov.in

Rajeevan, M. and Pattanaik, D.R., 2023. Evolution of monitoring and forecasting of southwest monsoon. MAUSAM,

Gadgil, S., 2003. The Indian Monsoon and Its Variability. Annual Review of Earth and Planetary Sciences, 31, pp.429–467.