Weather API
All the weather data you need in one place
The Meteomatics Weather API delivers global weather, ocean, environment and climate data — forecasts, real-time observations and historical records back to 1940 — through a single REST API. It draws on 110+ models (ECMWF, GFS, DWD and more) and 1,800+ parameters, downscaled to 90 m, in JSON, CSV, NetCDF and other formats.

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From Query to Decision in Seconds
import datetime as dtimport meteomatics.api as apiusername = "YOUR_USER"password = "YOUR_PASSWORD"coordinates = [(47.4202, 9.3698)] # Meteomatics HQparameters = ["t_2m:C", "precip_1h:mm","wind_speed_10m:ms", "wind_dir_10m:d",]start = dt.datetime.now(dt.timezone.utc).replace(minute=0, second=0, microsecond=0)end = start + dt.timedelta(days=3)df = api.query_time_series(coordinates, start, end, dt.timedelta(hours=1),parameters, username, password, model="mix",)print(df)
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Our expert team of meteorologists and scientists is continuously working on the optimization, accuracy and availability of our data to deliver reliable solutions for your business. Select a customer story and get insights from our various use cases.
Frequently Asked Questions
The Meteomatics Weather API is an enterprise REST API that delivers global weather, ocean, environment and climate data through a single parameterised URL. It provides forecast, real-time and historical data drawn from 110+ models and over 1,800 parameters, downscaled to 90 m resolution, and integrates directly into your own applications and workflows.
Historical weather data reaches back to 1940, based on ERA5 reanalysis combined with observational data — more than 80 years of consistent global records for backtesting, model training and trend analysis. Combined with climate scenarios extending to 2100, this supports datasets spanning a 160-year period.
It covers four data categories — real-time observations, short- and long-range forecasts, historical records and climate-scenario projections — across weather, ocean and environmental variables. Over 1,800 parameters are available, from temperature, wind and precipitation to solar radiation, cloud cover and severe-weather indicators, all through one API.
The API returns data in multiple formats, including JSON, CSV, XML and NetCDF, selectable directly in the request URL. All results are downscaled to 90 m resolution using NASA's terrain model, while the exclusive EURO1k and US1k models provide 1 km native resolution across Europe and North America.
Accuracy comes from combining 110+ leading models with Meteomatics' high-resolution EURO1k and US1k models, 90 m downscaling, and unique in-situ measurements from Meteodrones where conventional coverage is sparse. The "Meteomatics Mix" model automatically selects the best-performing source for each location and parameter, with quality continuously validated against observations.
Meteomatics provides access to a comprehensive portfolio of global, regional, ensemble, AI-based, and proprietary high-performance weather models — all available through a single API.
Leading global numerical weather prediction (NWP) models
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ECMWF IFS (deterministic and ensemble)
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NCEP GFS and GEFS
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DWD ICON (global and regional variants)
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UKMO UM
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CMC-GEM
Proprietary high-resolution models exclusive to Meteomatics
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Meteomatics Mix – an advanced multi-model blend combining forecasts, radar, satellite, observations, reanalysis, and climate data for consistently optimized performance
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US1k – ultra-high-resolution U.S. model - 1km native spatial resolution
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EURO1k – ultra-high-resolution European model - 1km native spatial resolution
- GraphCast
- FourCastNet
- ECMWF AIFS
- ECMWF-AIFS ENS
Additional advanced data sources: Radar, satellite, station observations, reanalysis, and climate datasets
All data sources are selectable via the API, enabling enterprise and government users to implement multi-model strategies, ensure redundancy, strengthen resilience, and support mission-critical decision-making with confidence.
For more information, see Models and Data Sources.
The Meteomatics Weather API delivers high-resolution, multi-model weather intelligence that enables organizations to anticipate and respond to extreme weather with greater precision.
Through a single interface, users can access over 1,800 weather parameters, including severe weather indicators such as extreme precipitation, wind gusts, hail, lightning, temperature extremes, and storm tracks. High-resolution downscaling (up to 90 m) and proprietary 1 km models (EURO1k and US1k) help detect localized hazards that broader global models may not fully capture.
The API also provides ensemble forecasts to quantify uncertainty and assess impact probabilities — critical for risk-based decision-making. Combined with radar, satellite, and observational data, this enables continuous monitoring and automated alerting based on predefined operational thresholds.
By integrating these datasets directly into operational systems, the Weather API supports early warning, resource planning, infrastructure protection, and resilient response strategies in mission-critical environments.
For more information, see Master Severe Weather: Stay Ahead, Stay Resilient
Pricing varies based on usage, data requirements, and service levels. Meteomatics offers flexible pricing models, tailored to individual or enterprise needs. Talk to an expert to set up the perfect package for your business: Pricing.
Yes. If you require a specific dataset rather than ongoing API access, you can purchase data directly through the Meteomatics Weather Data Shop.
The Weather Data Shop allows you to request tailored datasets based on your parameters — including location, time range, variables, and model source. This is ideal for one-off projects, research initiatives, compliance reporting, or historical analyses where continuous API integration is not required.
Yes. The Weather API is developed and operated in line with strict cybersecurity and compliance standards. Our infrastructure follows industry best practices for data protection, access control, encryption in transit and at rest, and continuous monitoring.
For more information, see Quality Management.
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