Meteomatics

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Meteomatics Data Products: APIs & Datasets

Explore Meteomatics’ datasets, databases, and data feeds.
The Weather API delivers fast, direct, simple access to an extensive range of global weather and environmental data. It allows the integr...
288 updates daily
249 countries covered
41 years of historical data
Meteomatics forecasts are available across all timescales, historic (back to 1979), nowcast, forecast out to 10 days, probabilistic (out ...
240 countries covered
41 years of historical data
Meteomatics accurate wind energy forecasts help operators and energy traders, maximize operational efficiency and gain competitive advant...
240 countries covered
41 years of historical data
Meteomatics already provides hyper-localized and accurate solar forecasts across the globe (kW & MW). Meteomatics uses sophisticated data...
240 countries covered
41 years of historical data
Precipitation in the form of freezing rain or wet snow can freeze onto overland power lines, access Meteomatics' API to gather more detai...
240 countries covered
41 years of historical data
Meteomatics' soil moisture index indicates the wetness of the soil (SMI). This index is computed using the permanent wilting point and th...
227 countries covered
41 years of historical data

Meteomatics Pricing & Cost

Learn about Meteomatics’ prices, subscription cost, and API pricing.

Please contact us for a quote.

The supported pricing models for Meteomatics’ data are Monthly License and Yearly License. Meteomatics offers free samples for individual data requirements. Get talking to a member of the Meteomatics team to receive custom pricing options, information about data subscription fees, and quotes for Meteomatics’ data offering tailored to your use case.

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About Meteomatics

Learn more about Meteomatics’ data sources, use cases, and integrations.

Meteomatics in a Nutshell

We use weather data to enable smarter business

As a specialist weather data provider, Meteomatics focuses on the provision of high-quality, processed weather and environmental data for a variety of users, including data scientists, analysts and meteorologists in all areas of industry. Our unique data delivery architecture provides near-real-time data from the widest available range of providers, all in a single, simple-to-use API. With Meteomatics’ API, you can meet all your weather data needs easily, cost-effectively and conveniently in one place.

Additional to the Weather API, the Meteomatics offering also comprises the following services and products:

  • wind and solar power forecasts - portfolio specific or for whole countries
  • hydropower forecasts
  • Meteodrones - the mobile weather stations of the future
Headquarters
Switzerland

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Data Offering

The Weather API offers you fast and direct access to hyperlocal global weather data. You get easy-to-use weather data relevant to your task.

  • Response times within miliseconds, with the majority of our
    weather data held in memory.
  • Well known data formats, such as csv, xml, json
  • Data connectors for several programming languages and
    programs to simplify the
    integration of the data into existing workflows
  • Interactive visualisations accessible from any browser
Show 7 more

Use Cases

Successful radio campaigns with targeted weather data (Swiss Radioworld)

Swiss Radioworld is a marketing company specialising in advertising and planning of radio advertising campaigns (classic/ digital) for advertising spaces in Switzerland and is majority owned by Goldbach Group AG.

Challenge
It comes as no surprise that weather conditions have a huge influence on consumer behavior whether that be increased demand for ice cream on a hot summer day or for umbrellas and scarves in the depths of winter. So, for targeted sales campaign planning, whatever the product, factoring in accurate weather data is becoming increasingly necessary to drive successful sales campaigns and give your business the competitive edge.

Solution
With event-based radio advertising, the relevant product promotions are broadcast depending on the current weather, and retailers are able to match those weather criteria to the desired promotions in advance. That allows sun glasses and hay fever remedies to be promoted when it is hot and sunny, and cheese fondue and mulled wine when it is cold and wet.

Result
As the desire for a hearty cheese fondue gradually increases as temperatures drop, whenever a weather permits, a commercial for cheese products has been broadcast fully automatically at the radio stations, which means that the ad was broadcast only at the relevant time.

Your sales campaigns are more effective, reaching the right audiences at the right times and driving revenue uplift, and your business only pays to advertise during the most relevant weather to your product and customers, saving you money.

In spring, weather-based campaigns have already been realised during the pollen season for appropriate drugs.

Client for cheese products: Coop (Agency TW Media)
Client for pollen preparations:
Sanofi (Agency Mindshare)

Improved forecast quality due to vehicle data (Daimler)

Challenge
Modern cars continuously evolve into rolling computers and meter besides the motor performance and further technical quantities also the temperature outside the car. These measurements are used for optimised regulations of the air conditioning but also as source of information for drivers. One question arises naturally: Which potential does the data hold beyond these applications when it comes to enhancing the forecast quality of various weather products?

Solution
Temperature measurements can on the one hand be used as ground truth for the assimilation into numerical weather prediction models and on the other hand serve as database to define current conditions but also to enhance nowcasting systems. In the frame of a research project, the benefit of the assimilation of these measurements for different forecast horizons and parameters were examined using high resolution weather model calculations. In addition, concepts with the focus on road safety were developed and tested.

Result
The research results provide concrete insights into the influence of the temperature measurements on both the forecast quality of numerical weather prediction models and road safety relevant conditions and nowcast products. In a nutshell, explicit conclusions on the value and potential of the temperature measurements of the Daimler vehicle fleet were successfully gained.

HäschCash - Weather API helps you save money (St. Galler Kantonalbank)

Challenge
Wether we are in a bus, watching TV, checking our social media platforms or magazines, we are run over by ads for new products what grabs deep in our wallets as well. Especially, the unlimited possibilities make it difficult to say no and save some money. Moreover, a certain degree of discipline and an adequate method are needed in order to put some money aside every month.

Solution
The St. Gallen cantonal bank developed a saving app called HäschCash that enables their customers to save money simply and digitally. From a multitude of saving methods, one can be chosen that helps reaching the saving goals. If somebody lacks the necessary motivation, they can leave the decision to save money to the occurrence of a certain event. Thanks to the weather data of Meteomatics the saving methods “Schmuddelwetter” and “Happy Day” are available that link the weather to the saving goals.

Result
Due to variety of data connectors of the API the meteorological data is easily integrated into the app which enables weather-based saving methods. Whether sunshine or continuous rain – individually determined money amounts can be saved thanks to highly accurate weather data. Hence, a beautiful day in the sun can get even more beautiful as with the method “Happy Day” the balance rises at the same time.

The Weather API helps SBB to enhance their railway operations (Swiss Federal Railways)

Challenge
Weather impacts a railway provider`s daily business in many ways. The number of travellers is highly dependent on local weather conditions and for the railway network to be able to operate at a higher frequency requires more precise planning for both schedule and increased energy consumption.

Solution
The Meteomatics Weather API provides precise hyper-local forecasts for all relevant meteorological parameters along a specific route. By downloading that data and overlaying it with the energy consumption along a route, the Swiss Federal Railways, SBB, was able to align the energy consumption of their trains with the local weather conditions like wind, ice and dew. As a result of this success the API is now in the process of being integrated throughout the whole railway service from the planning of snow ploughing and tracking heating to the tourism advertisements.

Result
Using Meteomtics´ meteorological know-how and the API, the business assumptions about what causes variations in energy consumption could be validated. Now, the API is becoming more and more integrated into the daily operations, allowing SBB to improve operational planning, reduce costs for on-call services, and to operate the railway more efficiently.

The Weather API provides helps water utilities create innovative services (Anglian Water Services)

Challenge
Anglian Water Services wanted to breathe new life into their innovation processes, to develop a pipeline of new services and at the same time rationalise their sources of weather data from many down to one single view of the truth. They also wanted the data to be made simply available in formats that would work with existing products and services whilst meeting the needs of their newly formed Data Science team.

Solution
The Weather API was put in place across the whole Anglian Water Services business. With individual accounts in place the various business units have easy access to the data they require and integration with 3 rd party catchment modeling and visualisation tools has been straightforward. Providing consultancy around meteorological data use has also been highly valued and enabled Meteomatics to contribute directly to a variety of innovation projects.

Result
Anglian Water Services have made significant savings in terms of weather data costs, streamlined from 20 down to one supplier and are now benefiting from quick and easy access to weather data for their date science team as they develop innovative solutions with their Alliance partners for the benefit of business and its customers.

The Weather API provides access to weather data for best routing (Tshwane University of Technology)

Challenge
Among the many international solar vehicle challenges, the in South Africa based Sasol Solar Challenge is one of the most notorious as the rout offers unique and challenging geographical characteristics. Moreover, the rare race and its aim to cover the furthest distance possible in eight days is extraordinary as most solar vehicle challenges race between two distinct points.

Solution
Meteomatics provided the perfect solution by being able to supply the required forecasted weather parameters in different resolutions. The data is integrated through a user-friendly API directly into the programming language, in this case MATLAB, used by the team to optimize their route. Along with the already used weather parameters in this project, there are many more, such as air density variation along the route in order to calculate aerodynamic drag components, that might prove to be advantageous for the race.

Result
The Sun Chaser III team from Tshwane University of Technology believes that by making use of the Meteomatics’ API at the Sasol Solar Challenge 2018 will provide the accuracy in weather prediction needed in the competition. Especially, the team’s energy estimation will profit from this technologically enhanced advantage what results in a better performance during the race.

Agriculture Management
Analytics
Artificial Intelligence (AI) Demand Forecasting
Demand Planning
Energy Usage Management
Financial Data Enrichment
Fuel Efficiency Estimates
Show 5 more

Data Sources & Collection

Overview of the data sources ingested in the Meteomatics Weather API: https://www.meteomatics.com/en/api/request/#model_selection
Access our documentation and find out how easy it is to use our API: https://www.meteomatics.com/api/getting-started/

Key Differentiators

1) Easy to use weather API: Meteomatics weather API delivers fast, direct, simple access to an extensive range of global weather and environmental data.

2) Single source of weather data: A single API endpoint to access weather and earth data covering the globe, from weather forecasts, observations. Plus Web Feature Services and Web Map Services.

3) On the fly calculation for the most up-to-date forecast: Customer weather forecast requests are calculated ‘on the fly’, using the latest observations. Giving users confidence that they are receiving the most accurate and up to date weather data possible.

4) Downscaling weather forecasts to 90 metres, globally: We improve the accuracy of weather data by taking into account the detail of the topography (down to 90 metres*) for any lat / long.

5) Fast & performant architecture: Our Meteocache aligns data in time and space to ensure that the weather API can efficiently and very quickly, return the requested data query despite of the size and format of the original data set.

Data Privacy

Integrations

Logo of Veracity Data Platform (by DNV GL) integration

What are you looking for?

Melanie and Sukrit
from Meteomatics are ready to assist you

Frequently asked questions about Meteomatics

What does Meteomatics do?

Meteomatics weather API delivers fast, direct, simple access to an extensive range of global weather and environmental data. A single API endpoint to access weather and earth data covering the globe, from weather forecasts, observations. Plus Web Feature Services and Web Map Services

How much does Meteomatics cost?

The supported pricing models for Meteomatics’ data are Monthly License and Yearly License. Meteomatics offers free samples for individual data requirements. Get talking to a member of the Meteomatics team to receive custom pricing options, information about data subscription fees, and quotes for Meteomatics’ data offering tailored to your use case.

What kind of data does Meteomatics have?

Weather Data, Solar Energy Data, Wildfires Data, Agricultural Data, and 11 others

What data does Meteomatics offer?

The Weather API offers you fast and direct access to hyperlocal global weather data. You get easy-to-use weather data relevant to your task. Response times within miliseconds, with the majority of our weather data held in memory. Well known data formats, such as csv, xml, json Data connectors for several programming languages and programs to simplify the integration of the data into existing workflows Interactive visualisations accessible from any browser

How does Meteomatics collect data?

Overview of the data sources ingested in the Meteomatics Weather API: https://www.meteomatics.com/en/api/request/#model_selection Access our documentation and find out how easy it is to use our API: https://www.meteomatics.com/api/getting-started/

What are the best use cases for Meteomatics’ data?

Successful radio campaigns with targeted weather data (Swiss Radioworld) Swiss Radioworld is a marketing company specialising in advertising and planning of radio advertising campaigns (classic/ digital) for advertising spaces in Switzerland and is majority owned by Goldbach Group AG. Challenge It comes as no surprise that weather conditions have a huge influence on consumer behavior whether that be increased demand for ice cream on a hot summer day or for umbrellas and scarves in the depths of winter. So, for targeted sales campaign planning, whatever the product, factoring in accurate weather data is becoming increasingly necessary to drive successful sales campaigns and give your business the competitive edge. Solution With event-based radio advertising, the relevant product promotions are broadcast depending on the current weather, and retailers are able to match those weather criteria to the desired promotions in advance. That allows sun glasses and hay fever remedies to be promoted when it is hot and sunny, and cheese fondue and mulled wine when it is cold and wet. Result As the desire for a hearty cheese fondue gradually increases as temperatures drop, whenever a weather permits, a commercial for cheese products has been broadcast fully automatically at the radio stations, which means that the ad was broadcast only at the relevant time. Your sales campaigns are more effective, reaching the right audiences at the right times and driving revenue uplift, and your business only pays to advertise during the most relevant weather to your product and customers, saving you money. In spring, weather-based campaigns have already been realised during the pollen season for appropriate drugs. Client for cheese products: Coop (Agency TW Media) Client for pollen preparations: Sanofi (Agency Mindshare) Improved forecast quality due to vehicle data (Daimler) Challenge Modern cars continuously evolve into rolling computers and meter besides the motor performance and further technical quantities also the temperature outside the car. These measurements are used for optimised regulations of the air conditioning but also as source of information for drivers. One question arises naturally: Which potential does the data hold beyond these applications when it comes to enhancing the forecast quality of various weather products? Solution Temperature measurements can on the one hand be used as ground truth for the assimilation into numerical weather prediction models and on the other hand serve as database to define current conditions but also to enhance nowcasting systems. In the frame of a research project, the benefit of the assimilation of these measurements for different forecast horizons and parameters were examined using high resolution weather model calculations. In addition, concepts with the focus on road safety were developed and tested. Result The research results provide concrete insights into the influence of the temperature measurements on both the forecast quality of numerical weather prediction models and road safety relevant conditions and nowcast products. In a nutshell, explicit conclusions on the value and potential of the temperature measurements of the Daimler vehicle fleet were successfully gained. HäschCash - Weather API helps you save money (St. Galler Kantonalbank) Challenge Wether we are in a bus, watching TV, checking our social media platforms or magazines, we are run over by ads for new products what grabs deep in our wallets as well. Especially, the unlimited possibilities make it difficult to say no and save some money. Moreover, a certain degree of discipline and an adequate method are needed in order to put some money aside every month. Solution The St. Gallen cantonal bank developed a saving app called HäschCash that enables their customers to save money simply and digitally. From a multitude of saving methods, one can be chosen that helps reaching the saving goals. If somebody lacks the necessary motivation, they can leave the decision to save money to the occurrence of a certain event. Thanks to the weather data of Meteomatics the saving methods “Schmuddelwetter” and “Happy Day” are available that link the weather to the saving goals. Result Due to variety of data connectors of the API the meteorological data is easily integrated into the app which enables weather-based saving methods. Whether sunshine or continuous rain – individually determined money amounts can be saved thanks to highly accurate weather data. Hence, a beautiful day in the sun can get even more beautiful as with the method “Happy Day” the balance rises at the same time. The Weather API helps SBB to enhance their railway operations (Swiss Federal Railways) Challenge Weather impacts a railway provider`s daily business in many ways. The number of travellers is highly dependent on local weather conditions and for the railway network to be able to operate at a higher frequency requires more precise planning for both schedule and increased energy consumption. Solution The Meteomatics Weather API provides precise hyper-local forecasts for all relevant meteorological parameters along a specific route. By downloading that data and overlaying it with the energy consumption along a route, the Swiss Federal Railways, SBB, was able to align the energy consumption of their trains with the local weather conditions like wind, ice and dew. As a result of this success the API is now in the process of being integrated throughout the whole railway service from the planning of snow ploughing and tracking heating to the tourism advertisements. Result Using Meteomtics´ meteorological know-how and the API, the business assumptions about what causes variations in energy consumption could be validated. Now, the API is becoming more and more integrated into the daily operations, allowing SBB to improve operational planning, reduce costs for on-call services, and to operate the railway more efficiently. The Weather API provides helps water utilities create innovative services (Anglian Water Services) Challenge Anglian Water Services wanted to breathe new life into their innovation processes, to develop a pipeline of new services and at the same time rationalise their sources of weather data from many down to one single view of the truth. They also wanted the data to be made simply available in formats that would work with existing products and services whilst meeting the needs of their newly formed Data Science team. Solution The Weather API was put in place across the whole Anglian Water Services business. With individual accounts in place the various business units have easy access to the data they require and integration with 3 rd party catchment modeling and visualisation tools has been straightforward. Providing consultancy around meteorological data use has also been highly valued and enabled Meteomatics to contribute directly to a variety of innovation projects. Result Anglian Water Services have made significant savings in terms of weather data costs, streamlined from 20 down to one supplier and are now benefiting from quick and easy access to weather data for their date science team as they develop innovative solutions with their Alliance partners for the benefit of business and its customers. The Weather API provides access to weather data for best routing (Tshwane University of Technology) Challenge Among the many international solar vehicle challenges, the in South Africa based Sasol Solar Challenge is one of the most notorious as the rout offers unique and challenging geographical characteristics. Moreover, the rare race and its aim to cover the furthest distance possible in eight days is extraordinary as most solar vehicle challenges race between two distinct points. Solution Meteomatics provided the perfect solution by being able to supply the required forecasted weather parameters in different resolutions. The data is integrated through a user-friendly API directly into the programming language, in this case MATLAB, used by the team to optimize their route. Along with the already used weather parameters in this project, there are many more, such as air density variation along the route in order to calculate aerodynamic drag components, that might prove to be advantageous for the race. Result The Sun Chaser III team from Tshwane University of Technology believes that by making use of the Meteomatics’ API at the Sasol Solar Challenge 2018 will provide the accuracy in weather prediction needed in the competition. Especially, the team’s energy estimation will profit from this technologically enhanced advantage what results in a better performance during the race.

What platforms is Meteomatics integrated with?

Veracity Data Platform (by DNV GL)