Weather Source

Weather Source is the leading provider of analytics-grade, global weather data and turnkey weather-based solutions. Drawing on cutting-edge science, data analytics, and meteorological expertise, Weather Source has delivered the industry’s most comprehensive and accurate weather and& climate data since 2015. We empower companies to quantify the impact of weather on a business and reduce waste, increase return on investment, fine-tune logistics, optimize marketing, improve resource planning, and much more.

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 42 days.

• A prominent energy company uses OnPoint Climatology and OnPoint Weather forecast data to identify unexpected and anomalistic weather within its service area to better understand and predict increases and decreases in energy consumption. By correlating the company’s relevant data with our historical data we then performed a regression analysis to look for any patterns, weather’s impact on their service areas and anomalistic weather. By incorporating OnPoint Climatology, we were able to establish a baseline and look at long term forecasting models so they could plan for increases or decreases in demand and resources.

• A nationwide retailer uses our Weather Insights Platform (WIP) which automatically correlates weather historical data with sales transactional data in order to find signals that will enable the generation of actionable weather insights specific to the client’s data and their locations. Now they are able to predict how sales will be affected by weather changes up-to 42 days in advance down to the SKU level.

By integrating WIP the client is also able to extract what weather variables and their values have the most impact on product sales to understand how demand is increasing compared to historical sales and quantify the % impact the weather condition has on a specific product. This client also generated specific product demand patterns by season to proactively help on the decision process to initiate or not any promotion campaign depending on the upcoming weather conditions.

• Weather Source assisted a large insurer who wanted to create predictive models for claims related to automobile hail damage at the ZIP Code level. Weather Source used its Extreme Climatology models for hail correlated to claims activity which allowed the client to understand how many claims were submitted and paid, or declined, during normal or average conditions). The client then differenced historical actuals from the hail climatological mean to identify the anomalies or outliers which we then correlated to claims data to ascertain how anomalistic weather impacts claim activity. The output of this analysis was then carried forward into a predictive model that differenced the forecast from the hail climatological mean and identified future periods in which claims activity was predicted to increase or decrease.

NOAA
NWS
GFS
ECMWF
NEXRAD
GOES 16 AND 17
POES
TRMM/GPM
MODIS
VIIRS
IoT Devices and sensors

Unlike other providers that rely solely on singular inputs (airport observation stations) and then use simple interpolation methods to extend the data to your location of interest, Weather Source approaches weather in a markedly different way.

Weather Source’s patent-pending OnPoint Platform curates, decodes, and unifies data from the best weather-sensing technologies available, including satellite, radar, and airport observation stations and unifies all of these inputs into a temporally and spatially globally uniform 5km grid that acts as a “single source of truth.” Weather Source covers every land mass in the world and up to 200 miles offshore. Each grid point—1.6 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.

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