Graphics Portfolio

On this page you'll find examples of graphics that I've designed while at Spectrum Networks. The look of the graphics stays within the parameters set by the Network.

Many of these graphics have touch screen capabilities which allows the meteorologist to expand or emphasize parts of the graphic itself.

Other graphics use imported data from files like KMZ/KML, GIS or CSV.

Examples:

This simple animated graphic describes a low pressure system moving through the northeast and dragging behind it, an arctic blast. The colors and words help emphasize the weather story.

Millions of people live in NYC and there are only three ASOS sites and a handful of unreliable madis sites. Using the NYC Micronet as a CSV file, I've imported nearly two dozen additional sites (not all pictured above for spacing). Each sites can display temperatures, wind, precipitation recorded, etc.

Meteorologists often find themselves comparing the GFS and the ECMWF. Using two separate scenes with saved views for contiunity, I've combined the two scenes into one and created a side-by-side comparison of expected snowfall. This graphic automatically updates with new model runs.

This graphic shows the severe weather risk by type using KMZ files from the Storm Prediction Center. The graphic includes three scenes that automatically update with the latest KMZ file. I've manipulated the color scale so the risk of each can be compared properly.

Using a dynamic panel template, I've created an easy-to-understand table to view the latest tropical storm information.

Graphics should answer any question that a weather consumer may have. In this case the common question "What is it going to do this afternoon?" can be easily answered by breaking down the headlines into day-parts.

Hyper-Local Forecast

Flash Flood Preparations

KMZ Weather Prediction Forecast

Hyper-Local Forecast

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Here are more examples of graphics that I've created. My style is clean, minimal, easy-to-understand but also accomplishes the goal of teaching the consumer something about the weather.

As weather consumers flock to their phones for information, the demand for hyper-local forecasts increases. This graphic starts with a view of the entire city and then zooms into certain boroughs for more neighborhoods.