AI-POWERED REGIME-AWARE UNCERTAINTY-AWARE Enhancing NWP — Not Replacing It

Intelligent Post-Processing for Monsoon Rainfall Forecasts

ATMOS (Adaptive Targeted Monsoon Optimization System) learns regime-dependent errors in existing NWP rainfall forecasts and applies uncertainty-aware AI correction using atmospheric and geographical intelligence.

Explore Forecast Dashboard → How ATMOS Works

4 + 1 Regime Specialists + Global Expert

0.05° Target High-Resolution Grid

4 Monsoon Regime Classes

Multi-Metric Scientific Verification

INDIA RAINFALL FIELD (0.05°)

Interactive Indian Forecast Map

+24H • INDIA GRID

Active Synoptic Run: DEPRESSION / LOW (68%)

Launch Full Forecast Dashboard →

CORE VALUE PROPOSITION

Why ATMOS?

Monsoon rainfall forecast errors vary across synoptic conditions. ATMOS dynamically tailors post-processing to prevailing regimes and local terrain.

REGIME-AWARE

Rainfall forecast errors can change significantly with monsoon synoptic conditions, requiring specialized AI experts.

UNCERTAINTY-AWARE

Continuous regime probabilities and Shannon entropy prevent rigid hard-switching between AI models.

LOCAL-AWARE

Terrain, elevation, slope aspect, and coastal distance refine precipitation field resolution locally to 0.05° (~5 km).

PROBABILISTIC

Heavy-rainfall exceedance probabilities complement deterministic forecasts for disaster decision support.

MONSOON SYNOPTIC CLASSES

Four Monsoon Regime Classes

Distinct error distributions call for targeted AI post-processing strategies.

ACTIVE REG-ACT

Large-scale monsoon activity, strong low-level cross-equatorial southwesterly jet, and enhanced rainfall along the monsoon trough.

Typical NWP Failure Mode: Underestimates extreme windward orographic rain along Western Ghats.

ATMOS AI Specialist: Sharpens convective cores & applies slope aspect condensation multipliers.

BREAK REG-BRK

Monsoon trough shifts north to Himalayan foothills. Marked suppression of rainfall across central and peninsular India.

Typical NWP Failure Mode: Spurious "drizzle bias" (predicting 2-10 mm where zero rainfall falls).

ATMOS AI Specialist: Applies zero-hurdle probability filter to eliminate false precipitation.

DEPRESSION REG-DEP

Monsoon depression or cyclonic disturbance moving west-northwest from Bay of Bengal into Central India.

Typical NWP Failure Mode: Tracks low-pressure center well but under-predicts heavy rainband intensity.

ATMOS AI Specialist: Vorticity-guided heavy-rain realignment and extreme probability calibration.

TRANSITION REG-TRN

Atmospheric state undergoing transition between active and break phases with competing wave modes.

Typical NWP Failure Mode: High forecast variance and ensemble spread across operational runs.

ATMOS AI Specialist: Soft gating increases Global Model baseline weighting to prevent overfitting.

PLATFORM MODULES

Explore Decision-Support Modules

Navigate directly to specialized operational and scientific intelligence dashboards.

01 • GRID DASHBOARD

High-Res Forecast Map

Interactive 0.05° grid, layer controls (Raw vs AI vs Delta), point telemetry, and heavy rain probability calibration.

Open Forecast Map ➔

02 • SYNOPTIC INTELLIGENCE

Regime & Gating

4-regime probability visualizer, Chart.js Donut chart, Shannon entropy uncertainty explorer, and Expert Gating routing matrix.

Explore Regimes ➔

03 • ADMINISTRATIVE

District Intelligence

Area-weighted aggregation converting grid forecasts into district administrative analytics with searchable sorting table.

View Districts ➔

04 • BENCHMARKS

Scientific Verification

Rigorous out-of-sample continuous and event-based metrics with 3 interactive performance graphs (CSI, RMSE, Lead-Time).

View Verification ➔

TECHNICAL ADVANTAGES

Foundational Innovations

Six scientific breakthroughs setting ATMOS apart from conventional NWP bias correction.

DEVELOPMENT ROADMAP

Operational Roadmap

Multi-stage progression from research sandbox to real-time national deployment.