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Add weather.gov-style narrative forecast generation
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A newer version of the Gradio SDK is available: 6.22.0

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metadata 
title: ECMWF Global Weather Forecast
emoji: 🌍
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.43.1
app_file: app.py
pinned: false
license: mit
short_description: Global weather forecasts from ECMWF operational data

🌍 ECMWF Global Weather Forecast

A real-time weather forecasting application using ECMWF (European Centre for Medium-Range Weather Forecasts) operational data.

Features

🌐 Global Coverage: Access weather data for any location worldwide at 25km resolution
🕐 High-Resolution Forecasts: Detailed 3-hourly data for the first 24 hours, then extended intervals
📝 Narrative Forecasts: Plain English weather descriptions similar to weather.gov
📊 Professional Data: Real ECMWF IFS operational forecasts - the same data used by meteorologists
🔄 Real-time Updates: Fresh forecasts every 6 hours (00, 06, 12, 18 UTC)
⚡ Fast Access: Efficient data preloading for instant forecasts
📍 Interactive Map: Click anywhere on the world map or enter coordinates manually
🆓 No API Keys: Direct access to ECMWF open data - completely free

Weather Parameters

  • Temperature (2m) and Dewpoint
  • Sea Level and Surface Pressure
  • Wind Speed and Direction (10m)
  • Precipitation Totals
  • Cloud Cover Percentage
  • Solar Radiation
  • Water Vapor Content

How to Use

  1. Preload Data: Click "🚀 Preload Global Data" to download current forecasts
  2. Select Location: Click on the map or enter latitude/longitude coordinates
  3. Get Forecast: View comprehensive weather charts and detailed data tables
  4. Analyze: Professional meteorological data with up to 5-day forecasts

Technical Details

Data Source: ECMWF Open Data (CC BY 4.0 License)
Resolution: 0.25° (~25km global grid)
Model: IFS (Integrated Forecast System)
Forecast Range: 3-hourly for first 24 hours, then 0-120 hours ahead
Update Frequency: Every 6 hours
Temporal Resolution: 3-hour intervals for first day, then 6-hour+ intervals

Attribution

Weather data provided by ECMWF under the Creative Commons Attribution 4.0 International license.
Data source: https://www.ecmwf.int/en/forecasts/datasets/open-data