Weather Source
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Weather Source Data Products: APIs & Datasets
OnPoint Weather
| Quality | 100% gap-free and error corrected |
|---|---|
| Country | USA China Japan + 246 others |
| History | 20 years of historical data |
| Use Case | Footfall Analytics, Alpha Generation + 3 more |
OnPoint Climatology
| Quality | 100% gap-free and error corrected |
|---|---|
| Country | USA China Japan + 246 others |
| History | 20 years of historical data |
| Use Case | Real Estate, Climate Modeling + 3 more |
OnPoint Geospatial
| Quality | 100% gap-free and error corrected |
|---|---|
| Country | USA China Japan + 246 others |
| History | 8 years of historical data |
| Use Case | Location Intelligence, Business Intelligence (BI) + 3 more |
OnPoint Alerts
| Quality | 100% gap-free and error corrected |
|---|---|
| Country | USA China Japan + 246 others |
| History | 34 years of historical data |
| Use Case | Retail, Real Estate + 3 more |
OnPoint Machine-Learning Ready Weather
| Quality | 100% gap-free and error corrected |
|---|---|
| Country | USA China Japan + 246 others |
| History | 20 years of historical data |
| Use Case | Artificial Intelligence (AI), Machine Learning (ML) + 3 more |
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About Weather Source
Weather Source in a Nutshell
Weather Source is the leading provider of global, analytics-grade historical, present, forecast, and climatology weather data and turnkey weather-based solutions. Drawing on cutting-edge computer science, data analytics, and meteorological expertise, Weather Source has delivered the industry’s most comprehensive and accurate weather and climate data since 2015. Weather Source empowers companies to quantify the impact of weather and ultimately reduce waste, increase ROI, fine-tune logistics, optimize marketing, and improve resource planning.
- Headquarter
- United States of America
Data Offering
Weather Source offers a curated continuum of historical, present, and forecast weather data. Our database reaches from the year 2000 to present with a 15-day forecast and an extended view out to 46 days.
Pricing
We have two pricing options (API Plan and Per Location):
-
API Pricing: We offer plans ranging from 10,000 calls per day ($7,200/year) to 1,000,000 requests per day ($42,000/year).
-
Per-location pricing: These plans include sample pricing for various numbers of locations in both daily and hourly format. Additional costs are based on the number of years and locations requested. In addition, climatology data (in hourly format) is offered as a separate line item:
$4,305/year (daily) / $5,886/year (hourly)
100 Locations
5 years of Past (historical), Present/Previous day, and Forecast weather data.
Climatology Add-On: $2,057/per year.
$35,656/year (daily) / $48,752/year (hourly)
42,000 Locations
5 years of Past (historical), Present/Previous day, and Forecast weather data.
Climatology Add-On: $17,035/year.
1,250,000 Locations
5 years of Past (historical), Present/Previous day, and Forecast weather data.
Climatology Add-On: $55,863/year.
- One-off purchase
- Yearly license
- Usage-based
Featured in
Top 7 Historical Weather Data Providers & APIs Top 10 Weather Data Providers 10 Best Data Providers for Weather-Triggered AdvertisingUse Cases
A nationwide retailer used OnPoint Weather to quantify the impact of weather data on seasonal product sales. The creation of a predictive model helped the company stock and price inventory according to real-time seasonal changes rather than predetermined dates.
A logistics company with tight delivery deadlines used OnPoint Weather to perform regression analysis and to identify weather conditions that result in delivery delays. Weather Source then created a model for the company to monitor forecast and OnPoint Climatology data for similar conditions, enabling them to adjust routes and schedules to prevent future setbacks.
An energy company used OnPoint Climatology to anticipate anomalies and potential changes in demand within their designated market areas as well as those of their competitors. This allowed the company to sell energy at a premium to neighboring utilities who experience high demand and low resources.
A busy hospital used OnPoint Weather to perform regression analysis on emergency room visits to better understand how they are influenced by weather. This allowed the provider to create a predictive model to forecast emergency room footfall traffic, with the end results being optimized staff resources and reduced patient wait times.
A large property management company relied on Weather Source to monitor weather’s impact on their asset locations. They also received alerts in real time when weather had the potential to damage an asset and a visit to the property was advised.
A large defense contractor ingested Weather Source’s entire continuum of data, from historical to present to forecast, to serve as a single source of truth for its globally distributed employees. This ensured all personnel were operating and modeling with globally uniform data free of discrepancies in spatial and/or temporal resolution.
Geo Coverage
Data Sources & Collection
NOAA
NWS
GFS
ECMWF
NEXRAD
GOES 16 AND 17
POES
TRMM/GPM
MODIS
VIIRS
IoT Devices and sensors
Key Differentiators
Unlike other weather data providers who rely on singular weather-sensing inputs that may be too far from your location of interest to prove meaningful, Weather Source takes a markedly different approach to data collection and preparation.
Weather Source’s patent-pending OnPoint Platform curates, decodes, and unifies data from the best weather-sensing technologies available then stages the data on the OnPoint Grid. This globally consistent, 5-kilometer grid covers every land mass in the world and up to 200 miles offshore. Each grid point—nearly 2 million in total—represents a “virtual” weather station with a unique OnPoint ID from which weather data can be mapped. This high-resolution method ensures your location of interest is never more than 2.2 miles away from an OnPoint ID.
With access to analytics-grade, hyper-local data—right down to your exact storefront, job site, real estate property, agricultural field, or automobile—your business can identify patterns, trends, and anomalies to always be one step ahead of competitors.
Data Privacy
Integrations
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Frequently asked questions about Weather Source
What does Weather Source do?
Weather Source’s mission is to make hyper-local weather and climate data accessible around the globe and across industries.
How much does Weather Source cost?
We have two pricing options (API Plan and Per Location): API Pricing: We offer plans ranging from 10,000 calls per day ($7,200/year) to 1,000,000 requests per day ($42,000/year). Per-location pricing: These plans include sample pricing for various numbers of locations in both daily and hourly format. Additional costs are based on the number of years and locations requested. In addition, climatology data (in hourly format) is offered as a separate line item: $4,305/year (daily) / $5,886/year (hourly) 100 Locations 5 years of Past (historical), Present/Previous day, and Forecast weather data. Climatology Add-On: $2,057/per year. $35,656/year (daily) / $48,752/year (hourly) 42,000 Locations 5 years of Past (historical), Present/Previous day, and Forecast weather data. Climatology Add-On: $17,035/year. 1,250,000 Locations 5 years of Past (historical), Present/Previous day, and Forecast weather data. Climatology Add-On: $55,863/year.
What kind of data does Weather Source have?
AI & ML Training Data, Climate Data, Historical Weather Data, Map Data, and 2 others
What data does Weather Source offer?
Weather Source offers a curated continuum of historical, present, and forecast weather data. Our database reaches from the year 2000 to present with a 15-day forecast and an extended view out to 46 days.
How does Weather Source collect data?
NOAA NWS GFS ECMWF NEXRAD GOES 16 AND 17 POES TRMM/GPM MODIS VIIRS IoT Devices and sensors
What are the best use cases for Weather Source’s data?
A nationwide retailer used OnPoint Weather to quantify the impact of weather data on seasonal product sales. The creation of a predictive model helped the company stock and price inventory according to real-time seasonal changes rather than predetermined dates. A logistics company with tight delivery deadlines used OnPoint Weather to perform regression analysis and to identify weather conditions that result in delivery delays. Weather Source then created a model for the company to monitor forecast and OnPoint Climatology data for similar conditions, enabling them to adjust routes and schedules to prevent future setbacks. An energy company used OnPoint Climatology to anticipate anomalies and potential changes in demand within their designated market areas as well as those of their competitors. This allowed the company to sell energy at a premium to neighboring utilities who experience high demand and low resources. A busy hospital used OnPoint Weather to perform regression analysis on emergency room visits to better understand how they are influenced by weather. This allowed the provider to create a predictive model to forecast emergency room footfall traffic, with the end results being optimized staff resources and reduced patient wait times. A large property management company relied on Weather Source to monitor weather’s impact on their asset locations. They also received alerts in real time when weather had the potential to damage an asset and a visit to the property was advised. A large defense contractor ingested Weather Source’s entire continuum of data, from historical to present to forecast, to serve as a single source of truth for its globally distributed employees. This ensured all personnel were operating and modeling with globally uniform data free of discrepancies in spatial and/or temporal resolution.
What platforms is Weather Source integrated with?
BattleFin Ensemble, AWS Data Exchange, Qlik DataMarket, Bloomberg Enterprise Access Point, CARTO Data Observatory, Snowflake Data Marketplace, and Google Cloud Platform