Big Data Demo
Real-time meteorological data visualisation for Hangzhou, China — a live example of Big Data APIs in action.
Hangzhou, Zhejiang, China
30.2936°N · 120.1614°E · UTC+8
§ 01 — Live Monitor · Open-Meteo Realtime Feed
§ 02 — Trend Analysis · Next 24 Hours
Temperature vs. Precipitation Probability
24-Hour Forecast · ComposedChart
UV Index & Solar Radiation Trend
24-Hour Forecast · AreaChart
§ 03 — Educational Context
About the Data
Every metric on this dashboard is fetched live, in real-time, from the Open-Meteo API — a free, open-source weather service requiring no API key.
¤t=temperature_2m,wind_speed_10m,...
&hourly=temperature_2m,uv_index,...
- The API returns a structured JSON response that this page parses and renders into charts in milliseconds.
- Data auto-refreshes every 5 minutes using setInterval inside a React useEffect hook.
- Weather codes follow the WMO standard (World Meteorological Organization), a globally consistent vocabulary for weather states.
Big Data Insight
This forecast is generated by aggregating data from satellites, weather balloons, ocean buoys, and thousands of ground weather stations worldwide — then fed into supercomputer models.
Data Points / Day
~1 Billion
Model Resolution
~9 km grid
Update Frequency
Every hour
Forecast Horizon
Up to 16 days
The ECMWF Integrated Forecasting System (IFS) — one of the world's most powerful meteorological supercomputers — processes over 200 TB of observational data per day using Numerical Weather Prediction (NWP) to generate these forecasts.