TaborlinWeather IntelligenceWeather data byAccuWeather
TaborlinWeather IntelligenceWeather data byAccuWeather
THE OUTCOME IS THE CAKE. DATA IS THE INGREDIENTS.

What are you trying
to make possible?

You do not need to know an endpoint name. Start with a question, then see the weather ingredients and the steps that turn them into an answer.

Your goal→Weather + your data→Application logic→A useful answer
Field operations

Find a better work window

When should we schedule an outdoor job?

4 catalog ingredients + your operational inputsSee the recipe →
Energy & utilities

Find assets in a storm’s path

Which substations or pipelines need closer attention?

3 catalog ingredients + your operational inputsSee the recipe →
Insurance

Investigate weather near a property

Was a relevant storm reported near this property on that date?

2 catalog ingredients + your operational inputsSee the recipe →
Retail & planning

Explain weather-sensitive demand

How much of our sales pattern moves with weather?

4 catalog ingredients + your operational inputsSee the recipe →
Energy

Build a solar-production forecast

How much solar output should we plan for?

3 catalog ingredients + your operational inputsSee the recipe →
Agriculture

Track growing conditions

How are weather and soil conditions changing around our fields?

4 catalog ingredients + your operational inputsSee the recipe →
Operations

Monitor lightning near a site

Have recent strikes occurred near our facilities?

4 catalog ingredients + your operational inputsSee the recipe →
Travel & consumer apps

Explain outdoor air conditions

What should users know about air quality at their destination?

3 catalog ingredients + your operational inputsSee the recipe →
Transport & infrastructure

Review water conditions near crossings

Which crossings warrant a closer water-condition review?

2 catalog ingredients + your operational inputsSee the recipe →

Where do the ingredients come from?

1. Observations

Stations, radar, satellites and detection networks describe what was observed. They differ in location, coverage and measurement method.

2. Forecasts

Forecasting combines observations, models and—in some products—meteorologist analysis to estimate future conditions. A forecast is not a future measurement.

3. Derived products

Indices, probabilities and impact areas summarize or transform weather information. Each has its own definition; this is not a reproduction of proprietary formulas.

4. Your application

You add assets, schedules and decision rules. “Sites to review” or “estimated demand” is a result your application produces—not a raw weather variable.

Explore the complete published parameter list → · Compare Enterprise and GIS →

Independent demonstration by Taborlin.