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CustomWeather Data Products: APIs & Datasets
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CustomWeather prices by usage or with annual license fees.
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About CustomWeather
CustomWeather in a Nutshell
Hyperlocal, high-resolution forecasts up to 100m. Historical data, maps, forecasts, tracking & alerts. Global coverage.
Top companies from around the world rely on the accuracy and timeliness of CustomWeather’s forecasts to support business decisions. CustomWeather offers exclusive, customized solutions with boutique-level customer service for utilities, media, business, and government institutions that seek only the highest quality data and services. CustomWeather’s pinpoint weather data, including many lesser-known and unique variables, for millions of locations worldwide, in 200+ countries and in over 85 languages, is an unmatched weather service for forward-thinking enterprises. In addition to real-time and forecasted weather data, CustomWeather maintains a unique and powerful historical data trove dating back 50+ years that empowers clients to train their own internal AI models for business forecasting and analytics.
Geo Coverage
Data Offering
Hyperlocal, high-resolution forecasts up to 100m. Historical data, maps, radar, satellite, and short-and long-range forecasts, tracking & alerts. Severe weather alerts and tropical storm tracking. Global coverage.
Featured in
Use Cases
Insurance: Help insurance companies mitigate their overall risk. Enable insurance companies to evaluate weather-related claims and flag suspicious claims. Historical data can be used by event planners to better understand the potential weather risks for outdoor events. Asset monitoring.
Agriculture: Climate change is largely irreversible over the short to medium term and agriculture is the industry most affected. Use historical precipitation and temperature data over defined periods as valuable inputs for future predictions based on AI algorithms. Track changes in temperature over weeks, months, and years.
Retail: Retailers can use historic weather data to forecast supply and demand for specific locations and to determine best marketing and manning practices. Weather data to calculate the weather’s effects on store traffic and seasonal inventory levels. Historic data can be used to understand how weather has impacted critical business processes. Data can also be used to gain a better understanding of unusual spikes or drops in customer demand.
Construction: Historic wind, temperature, precipitation, and lightning data can be used to determine future project sites and to select equipment for the build. Identify weather risks for projects during the planning stage. Data can be used as an aid in determining project costs, best time frames for building, project manning, and scheduling. Minimize price risk.
Transportation: Improve decision making by using historical weather data to gauge future transport timing.
Energy: Use historical weather information as an input to model best people and resource placement in advance of impactful weather. Building operations managers can use historic weather data to gauge future energy usage and to tune and control energy use
Trading: Use historical weather data to help determine when to buy or sell. Identify where investments are going.
Data Sources & Collection
CustomWeather utilizes extremely localized terrain and transpiration data. We work with large networks of local weather stations including the MADIS network of cooperative weather stations. CustomWeather runs a proprietary high resolution forecast model, the USL model, at 100-meter resolution worldwide. The USL model is initialized off an ensemble of NWP models including the GFS, NAM, HRRR, SREF, Gridded MOS, GDPS, and WRF.
Key Differentiators
CustomWeather provides weather data in over 85 languages. Our historic data is the most comprehensive and includes data dating back further into the past than other providers. We are the only weather data provider with a Cloud Weather Service. This allows our users to make very specific request for data, including uncommon and harder to find variables, for dates back in time, for any point on the globe.
Data Privacy
CustomWeather’s technical staff will immediately notify their designated client counterparts by telephone or e-mail when a security incident(s) is detected, so that the client may take steps to determine whether its system has been compromised and to take appropriate security precautions. The client will receive formal notification in writing within five (5) business days after detection of any cyber security incident(s).
CustomWeather performs checks of access logs, which includes records of all read, write, and create events, as well as the day/time, the user, and the action the user was attempting (i.e., read, write, create). Any unsuccessful login attempts are also recorded.
CustomWeather ensures that its users, administrators and policy controllers are educated in respect to their security duties.
Integrations
What are you looking for?
Frequently asked questions about CustomWeather
What does CustomWeather do?
We provide industry-leading weather solutions to a wide range of industries that value quality, customer service, and data accuracy. As a leader in technology, CustomWeather is well aware of the latest industry trends and requirements. Our data is available in 95 languages.
How much does CustomWeather cost?
CustomWeather’s APIs and datasets range in cost from $50 / purchase to $4,500 / year. CustomWeather offers free samples for individual data requirements. Get talking to a member of the CustomWeather team to receive custom pricing options, information about data subscription fees, and quotes for CustomWeather’s data offering tailored to your use case.
What kind of data does CustomWeather have?
Temperature Data, Rainfall Data, Natural Disaster Data, Event Data, and 31 others
What data does CustomWeather offer?
Hyperlocal, high-resolution forecasts up to 100m. Historical data, maps, radar, satellite, and short-and long-range forecasts, tracking & alerts. Severe weather alerts and tropical storm tracking. Global coverage.
How does CustomWeather collect data?
CustomWeather utilizes extremely localized terrain and transpiration data. We work with large networks of local weather stations including the MADIS network of cooperative weather stations. CustomWeather runs a proprietary high resolution forecast model, the USL model, at 100-meter resolution worldwide. The USL model is initialized off an ensemble of NWP models including the GFS, NAM, HRRR, SREF, Gridded MOS, GDPS, and WRF.
What’s CustomWeather’s data privacy policy?
CustomWeather’s technical staff will immediately notify their designated client counterparts by telephone or e-mail when a security incident(s) is detected, so that the client may take steps to determine whether its system has been compromised and to take appropriate security precautions. The client will receive formal notification in writing within five (5) business days after detection of any cyber security incident(s). CustomWeather performs checks of access logs, which includes records of all read, write, and create events, as well as the day/time, the user, and the action the user was attempting (i.e., read, write, create). Any unsuccessful login attempts are also recorded. CustomWeather ensures that its users, administrators and policy controllers are educated in respect to their security duties.
What are the best use cases for CustomWeather’s data?
Insurance: Help insurance companies mitigate their overall risk. Enable insurance companies to evaluate weather-related claims and flag suspicious claims. Historical data can be used by event planners to better understand the potential weather risks for outdoor events. Asset monitoring. Agriculture: Climate change is largely irreversible over the short to medium term and agriculture is the industry most affected. Use historical precipitation and temperature data over defined periods as valuable inputs for future predictions based on AI algorithms. Track changes in temperature over weeks, months, and years. Retail: Retailers can use historic weather data to forecast supply and demand for specific locations and to determine best marketing and manning practices. Weather data to calculate the weather’s effects on store traffic and seasonal inventory levels. Historic data can be used to understand how weather has impacted critical business processes. Data can also be used to gain a better understanding of unusual spikes or drops in customer demand. Construction: Historic wind, temperature, precipitation, and lightning data can be used to determine future project sites and to select equipment for the build. Identify weather risks for projects during the planning stage. Data can be used as an aid in determining project costs, best time frames for building, project manning, and scheduling. Minimize price risk. Transportation: Improve decision making by using historical weather data to gauge future transport timing. Energy: Use historical weather information as an input to model best people and resource placement in advance of impactful weather. Building operations managers can use historic weather data to gauge future energy usage and to tune and control energy use Trading: Use historical weather data to help determine when to buy or sell. Identify where investments are going.
What platforms is CustomWeather integrated with?
OpenGIS, Restful API, Dun and Bradstreet Data Exchange, and Dewey