Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

Write a Review

Description

Meteomatics is a company that offers a wide range of weather-related services, including high-resolution commercial weather forecasting, power output forecasting for wind, solar and hydro, weather data gathering from the lower atmosphere using Meteodrones, and weather data delivery via the Weather API. Some of the key features of their Weather API include: - Unlimited accesses/day - Weather data querying via URL - Unified weather data access for historical and current weather, forecasts, climate models, and data from over 25 weather models - WMS and WFS interface - Delivery of forecasts with an average response time of 20 to 30 ms - 90 m downscaling worldwide - 1800+ parameters - Historical weather data from 1979 Climate data including climate scenarios up to the year 2100 - Secured use with HTTP and HTTPS - Integration with many formats, connectors, and programming languages available - Proprietary European Weather Model with 1 km resolution – EURO1k (Business plan)

Description

WeatherNext represents a suite of AI-driven models developed by Google DeepMind and Google Research, designed to deliver cutting-edge weather predictions. These advanced models surpass conventional physics-based approaches in both speed and efficiency, leading to enhanced reliability in forecasts. By improving the accuracy of weather predictions, these innovations could significantly aid in disaster preparedness, ultimately saving lives during severe weather scenarios and bolstering the dependability of renewable energy sources and supply chains. WeatherNext Graph stands out by providing more precise and efficient deterministic forecasts than existing systems, producing a single forecast for each specified time and location with a 6-hour temporal resolution and a 10-day lead time. In addition, WeatherNext Gen excels at generating ensemble forecasts that outshine the current predominant models, thereby equipping decision-makers with a clearer understanding of weather uncertainties and the associated risks of extreme weather conditions. This leap in forecasting capability promises to transform how we respond to and manage the impacts of climate variability.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AlphaCode No 
AlphaEvolve No 
ArcGIS Yes 
Chinchilla No 
Gemini No 
Gemini Diffusion No 
Gemini Robotics No 
GitHub No 
Google AI Studio No 
Google Maps Yes 
Gopher No 
JavaScript Yes 
Julia Yes 
Kotlin Yes 
MATLAB Yes 
Microsoft Power BI Yes 
Python Yes 
Rust Yes 
Swift Yes 
Tableau Yes 

Integrations

AlphaCode Yes 
AlphaEvolve Yes 
ArcGIS No 
Chinchilla Yes 
Gemini Yes 
Gemini Diffusion Yes 
Gemini Robotics Yes 
GitHub Yes 
Google AI Studio Yes 
Google Maps No 
Gopher Yes 
JavaScript No 
Julia No 
Kotlin No 
MATLAB No 
Microsoft Power BI No 
Python No 
Rust No 
Swift No 
Tableau No 

Pricing Details

$0/month/user
Prices for Business packages are calculated based on configuration. Please contact our sales managers to receive an offer.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Meteomatics

Founded

2012

Country

Switzerland

Website

meteomatics.com

Vendor Details

Company Name

Google DeepMind

Founded

2010

Country

United Kingdom

Website

deepmind.google/science/weathernext/

Product Features

Alternatives

Alternatives

Xweather Reviews

Xweather

Vaisala