Transportation & Safety

Colors and Confusion: Making Better Color Choices for Data Visualization

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Communication of scientific information and data to the public is part of NOAA’s mission, and scientific visualization is often the public’s first encounter with the agency’s data. This post gives an overview of recent advances and considerations for selecting and improving color selection for remote sensing data. NOAA CoastWatch will be experimenting with different colors for its data presentations.

Ice Breaking Operations and Shipping in the Great Lakes

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In order to understand ice formation and the types of ice in the Great Lakes, the NOAA Great Lakes Environmental Research Laboratory (GLERL) and the U.S. Coast Guard use Synthetic Aperture Radar (SAR) data from the NOAA CoastWatch Great Lakes Node to monitor six different types of ice, ice thickness, and ice cover.

Monitoring Sea Surface Winds and Sea Ice with Satellite Radar

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Synthetic Aperture Radar (SAR) is an active radar satellite instrument that transmits microwave pulses that bounce off the Earth’s surface. The radar signals are then processed into imagery that can be used to derive several geographic and non-geographic features including: wind speeds, oil spills, sea ice and ship detection.

Predicting Vibrio Risk Using Satellite Data

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As sea temperatures rise, lethal Vibrio bacteria species populations are growing. The NOAA CoastWatch Caribbean and Gulf of Mexico regional node at AOML has developed a model to predict Vibrio habitat suitability on a global scale.

Predicting Lake Ice Drifts in Cleveland

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Meteorologists at the Cleveland Weather Forecast Office tell a story exemplifying how CoastWatch data supports their mission, and how accurate predictions can save lives.

Predicting Winter Weather in Michigan

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Forecasters at the Grand Rapids Weather Forecast Office describe how they use CoastWatch data to predict lake effect snow, freezing spray, and more.