ATMOS / Architecture
⚡ Engineering Architecture & Stack: Modular Python backend, LightGBM/XGBoost dynamic ensembles, GeoJSON & Leaflet interface.
STRICT LEAKAGE FREE FORWARD PREDICTION strictly at t_0

16-Stage End-to-End Operational Pipeline

Click any pipeline stage node to inspect inputs, processing mechanisms, and output data artifacts.

Technical Architecture & Stack

Explore the real-time operational pipeline, offline training architecture, and multi-layered technology stack.

Data Leakage Safeguards & Principles

Ensuring zero temporal or spatial data leakage in operational inference and training validation.

Safeguard 01

Strict Non-Negative Rainfall

Mathematical clamp enforcing R(x,y) ≥ 0 mm everywhere, eliminating unphysical negative precipitation artifacts.

Safeguard 02

No Blanket Gaussian Smoothing

ATMOS explicitly avoids generic Gaussian blurring that would artificially erode sharp convective and orographic peaks.

Safeguard 03

No Universal Historical Cap

A historical maximum is NOT used as an arbitrary hard cap, preserving the model's capability to forecast unprecedented extreme rainfall events.