CustomWeather
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CustomWeather Data Products: APIs & Datasets
CustomWeather Historical Hourly and Daily Weather Observations
| Country | USA China Japan + 246 others |
|---|---|
| History | 30 years of historical data |
| Use Case | Alpha Generation, Business Intelligence (BI) + 3 more |
CustomWeather Live Earthquake Reporting
| Country | USA China Japan + 246 others |
|---|---|
| History | 2 weeks of historical data |
| Use Case | Data Science |
CustomWeather Ski Resort Weather Forecasts and Condition Reports
| Country | USA China Germany + 245 others |
|---|---|
| Use Case | Weather Forecasting |
CustomWeather Global Severe Weather Advisories
| Volume | 85K locations in the CustomWeather database |
|---|---|
| Country | USA China Japan + 246 others |
| History | 30 years of historical data |
CustomWeather High-Resolution Weather Forecasts and Historical Weather Forecasts
| Volume | 85K global locations |
|---|---|
| Country | USA China Japan + 246 others |
| History | 9 years of historical data |
| Use Case | Predictive Analytics, Weather Forecasting + 3 more |
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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.
- Headquarter
- United States of America
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.
Pricing
- One-off purchase
- Monthly license
- Yearly license
- Usage-based
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.
Geo Coverage
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
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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.
What kind of data does CustomWeather have?
AI & ML Training Data, Atmosphere Data, Geological Data, Global Weather Data, and 13 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 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, and Dun and Bradstreet Data Exchange
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