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Fix forecast intervals to match ECMWF operational availability
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---
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
πŸ• **High-Resolution Forecasts**: Detailed 3-hourly data for the first 24 hours, then extended intervals
πŸ“Š **Professional Data**: Real ECMWF IFS operational forecasts - the same data used by meteorologists
πŸ”„ **Real-time Updates**: Fresh forecasts every 6 hours (00, 06, 12, 18 UTC)
⚑ **Fast Access**: Efficient data preloading for instant forecasts
πŸ“ **Interactive Map**: Click anywhere on the world map or enter coordinates manually
πŸ†“ **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 "πŸš€ 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**: 0.25Β° (~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