Weather Source data, products, and solutions were built for analytics and machine learning. Since 2015, Weather Source has empowered companies to quantify the impact of weather on their operations and increase return on investment, fine-tune logistics, strengthen supply chains, optimize marketing, improve resource planning, and more. Seamlessly integrate weather and climate data with your internal data for insightful analytics and actionable business intelligence.
THIS SHARE INCLUDES TWO SAMPLE DATASETS:
1) 1,000 U.S. ZIP Codes:
- Weather data for 1,000 random U.S. ZIP Codes in daily format.
- Historical data (two years of rolling history).
- 15-day forecast data.
- Climatology data.
2) International City Centers:
- Weather data for six international city centers in daily format including Delhi (India),
Lagos (Nigeria), Rio (Brazil), Sydney (Australia), London (United Kingdom),
Frankfurt (Germany).
- Historical data (two years of rolling history).
- 15-day forecast data.
- Climatology data.
WEATHER SOURCEโS COMPLETE ONPOINT DATA PRODUCTS INCLUDE:
- High-resolution data for every landmass on Earth and up to 200 miles offshore.
- Daily/hourly historical data from 2000 to present.
- Daily/hourly 15-day forecast data with an enhanced view out to 42 days.
- Daily/hourly climatology data.
EXAMPLE USE CASES:
- Retailers and restaurants to optimize footfall traffic and product sales, minimize supply chain disruption, and predict employee absenteeism.
- Financial institutions to manage operational risk and make better-informed decisions.
- Energy companies to anticipate weather anomalies and potential changes in demand.
- Marketing organizations to correlate sales and weather as a critical component of their strategies.
DATA DICTIONARY:
(See Technical Documentation)
- Click more in the description field of a weather resource table to view list of parameter names and definitions for the selected resource.