Open-Meteo

Open-Meteo is a resource detailing advancements in weather forecasting technology, focusing on open-data models, high-resolution weather datasets, ensemble forecasts, and climate change predictions. It explores the integration of AI in predicting complex weather patterns, the significance of high-resolution data, and the development of APIs for diverse weather-related applications.

Artificial Intelligence in Weather Forecasting High-Resolution Weather Models Ensemble Forecasting Climate Change Predictions Weather Forecast API Development Historical Weather Data Solar Radiation Forecasts

The hottest Substack posts of Open-Meteo

And their main takeaways

Artificial Intelligence Weather Model AIFS

843 implied HN points • 29 Feb 24
🕹 Technology AI Data Forecasting
  1. ECMWF released its cutting-edge artificial intelligence weather model AIFS as open-data, marking a significant move in the open-data weather forecasting landscape.
  2. AIFS uses Graph Neural Networks to learn complex weather patterns, showcasing superior accuracy in longer-range forecasts exceeding 5 days.
  3. While AIFS has limitations in weather variables range and interval forecasts, its open availability enables users to compare its forecasts with traditional models, offering a new perspective in weather forecasting.

ECMWF IFS Upgraded to 0.25° Resolution

421 implied HN points • 05 Feb 24
🔬 Science
  1. ECMWF IFS model now open data at 0.25 degree resolution.
  2. Enhanced resolution improves data accuracy for coastal and mountainous areas.
  3. Upgrade includes ensemble forecasts and surface variables for 10-day forecasts.

New Models: BOM, CMA, MeteoFrance and ERA5 Ocean

281 implied HN points • 11 Jan 24
🔬 Science API Integration
  1. New high-resolution weather models added to Open-Meteo API in 2024
  2. GFS GRAPES from CMA, ACCESS-G from BOM, ARPEGE and AROME from MeteoFrance, and ERA5 Ocean variables now available
  3. Models offer diverse weather data like wind forecasts, hourly updates, and historical wave information

Ensemble Weather Forecast API

351 implied HN points • 05 Jun 23
🕹 Technology Weather API Forecasting Models Documentation
  1. Ensemble weather forecasts show a range of possibilities, helping to understand the uncertainty in predictions.
  2. Weather forecasts differ in reliability based on location and weather patterns, affecting the level of uncertainty in predictions.
  3. The Ensemble API combines various weather models, providing access to different weather variables for various purposes.
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Climate Change API

281 implied HN points • 13 Apr 23
🔬 Science Climate change
  1. The Climate API provides high-resolution climate data from the IPCC 6th assessment report, showcasing effects like temperature increases, extreme temperatures, and melting of Arctic sea ice.
  2. High-resolution climate models allow for more accurate regional climate change predictions, aiding in studies on the impacts of climate change on a smaller scale.
  3. The Climate API offers daily climate data from 1950 to 2050, enabling users to calculate climate indices and make projections like crop yield, pest infestation, and more.

Enhanced Solar Radiation Forecasts with 15-Minute Intervals

0 implied HN points • 16 Mar 23
🔬 Science
  1. German Weather Service announced enhanced solar radiation forecasts with 15-minute intervals
  2. 15-minute data improves accuracy of solar radiation predictions in weather forecasting
  3. Integration of visible light spectrum data enhances solar radiation forecasts and overall forecast quality