---
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