CustomWeather - Historical Hourly and Daily Weather Observations

Analyze weather and time-of-day dependent questions
Geography
Canada
China
Hong Kong
Ireland
UK
USA
Other - Asia
Other - Australia
Other - Africa
Other - Europe
Other - South America
Refresh Frequency
Hourly
Daily
Key Data Elements
Forecasts 15-day and hour-by-hour​
Temp high/low
Windspeed
Precipitation
Dewpoint
Comfort Level
Cloud Cover
D-U-N-S® Match

% of D&B records with weather within a given number of miles:

60% within 10 miles
80% within 20 miles
99% within 90 miles
Delivery Type
Batch

Overview

CustomWeather houses hourly and daily weather data from weather stations around the globe to help companies analyze time-of-day dependent questions such as:​

  • When can I expect the highest amount of foot traffic?​
  • Will supply chain be disrupted this winter? Is my supply chain disrupted by a hurricane coming?​
  • When should we open and close?​​

When CustomWeather’s weather data is attached to the Dun & Bradstreet D-U-N-S® Number, customers can understand how weather might impact a business location. For example: D&B has a record for a company in Waltham, MA. D&B can attach CustomWeather’s weather data from Logan International Airport to the D-U-N-S Number using D&B’s latitude and longitude data. That combined data set can help customers assess the impacts of an impending storm, including whether that storm might create service outages based on historical precedent.

Use Cases

Weather impacts almost every industry, and CustomWeather data can be used in many ways to evaluate what to do.

  • Insurance
    • Asset monitoring
    • Assess overall risk and evaluate ways of driving risk down
    • 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
  • 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
    • Historical weather data to forecast supply and demand for specific locations
    • Historical weather data to determine best marketing and manning practices
    • Historical data to understand how weather has impacted critical business processes, e.g. shipments
    • Understand unusual spikes or drops in customer demand
    • Calculate weather effects on store traffic and seasonal inventory levels
  • Construction
    • Historical wind, temperature, precipitation, and lightning data can be used to select future project sites and equipment for the build
    • Identify weather risks for projects during the planning stage
    • Consider potential weather impacts to project costs, best time frames for building, project manning, and scheduling
    • Assess price risk
  • Transportation
    • Use historical weather data to gauge future transport timing
  • Energy
    • Historical weather data as an input to model effective people and resource placement in advance of impactful weather event
    • Building operations managers can use historical weather data to gauge future energy usage and to tune / control energy use
  • Financial / Trading
    • Use historical weather data to help determine when to buy or sell or track weather dependent stock

 

The information provided on this partner listing is provided by Custom Weather and is not authenticated or reviewed by Dun & Bradstreet. Dun & Bradstreet makes no representations or warranties with respect to such information which is provided as-is.