Transportation & Safety

New Hurricane Tool in Development

Content Type
Announcement
Content
AOML, CIMAS, and CoastWatch have developed an initial version of a hurricane-ocean database and display for all Atlantic tropical cyclones during 2003-2022

Upcoming ACSPO SST Filename change

Content Type
Announcement
Content

The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) L3S-LEO-PM and L3S-LEO-DY products will be updated from ACSPO v2.80 to ACSPO v2.81 on October 2, 2023.  

The updates from V2.80 are:

NOAA-21 reaches Provisional Maturity for SST

Content Type
Announcement
Content
The Joint Polar Satellite System (JPSS) has approved NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Advanced Clear Sky Processor for Ocean (ACSPO) sea surface temperature (SST) products for Provisional Maturity

Sargassum FAQ

Content Type
User Story
Content
A Frequently Asked Questions (FAQs) for Sargassum was composed by the NOAA Atlantic Oceanographic & Meteorological Laboratory (AOML) in partnership with NOAA CoastWatch Caribbean, Gulf of Mexico and Atlantic OceanWatch Node.

C-HARM: Predicting Harmful Algal Blooms with Satellite Data

Content Type
User Story
Content

The West Coast Node (WCN) of CoastWatch is home to thousands of datasets; from ACSPO SST to Vector Winds, their ERDDAP server stores decades of historic climate data. But one group of products stands out with its impact on the coastal communities of California and Southern Oregon: C-HARM.

Colors and Confusion: Making Better Color Choices for Data Visualization

Content Type
User Story
Content
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

Content Type
User Story
Content
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

Content Type
User Story
Content
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

Content Type
User Story
Content
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

Content Type
User Story
Content
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

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