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Welcome to the Decision Support Division

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About the Decision Support Division

The Decision Support Division develops and implements techniques to synthesize, display, and manipulate data and guidance from various sources to aid the Weather Forecast Offices (WFO), River Forecast Centers and National Centers forecasters and other users in interpreting the wealth of information available at the WFO. Such methods and displays incorporate algorithms from other laboratories as well as those developed in the Meteorological Development Laboratory, and lead the forecaster through a decision process appropriate for the specific weather situation being addressed. Such advanced interpretation and display techniques are integrated onto NWS operational workstations. Techniques for automatically monitoring weather observations and forecasts are developed and implemented to alert the forecaster of the need to update warning and forecast products, especially for dangerous weather. Prototyping of promising techniques in an operational setting is done to identify those best suited for implementation. The branch also develops and improves techniques for producing forecasts for the coastal marine environment. Emphasis is on developing storm surge forecasting techniques and applying them to the nation's vulnerable coastal areas. Guidance from the resulting techniques is used by NWS offices in preparing forecasts which go to emergency preparedness officials as well as the general public. To improve the R2O-O2R function in NOAA, the Decision Support Division leads the design, development and maintenance of the Virtual Laboratory.


AutoNowCaster (ANC)

  • Focuses on assessing AutoNowCaster's (ANC's) ability to provide guidance in the form of gridded thunderstorm nowcasts.
  • Provides guidance on the utility of ANC in generating convective products that address NextGen requirements.
  • Develops a concept of operations where ANC feeds the NextGen/4-D weather cube.

IRIS/Impacts Catalog/iNWS


The Impacts Catalog, consisting of known societal impacts of climate, water, and weather dependent events, is used to help forecasters issue forecasts and warnings more relevant to known societal vulnerabilities. This project is currently under development by NWS to improve its ability to communicate weather, climate, and water-related warnings to those who need them according to their specific needs.


The Virtual Laboratory (VLab) is a service and IT framework which enables NOAA employees and their partners to share ideas, collaborate, engage in software development, and conduct applied research.  The VLab will enable NOAA to reduce the time and cost of transitions of field innovations to enterprise operations; minimize redundancy and leverage complementary, yet physically separated, skillsets; forge scientific and technical solutions based on a broad, diverse consensus, and promote collaboration and trust.

Rip Current Monitoring and Prediction

Rip Currents are powerful, channeled currents of water flowing away from shore. They typically extend from the shoreline, through the surf zone, and past the line of breaking waves. Rip currents generally form when waves approach normal to the shoreline or at a slight angle. Rip currents can occur at any beaches with breaking waves, including beaches on open oceans and in the Great Lakes and in a Bay. DSD does rip current monitoring and prediction.

Storm Surge

Using techniques and skills in numerical modeling, computer science, atmospheric physics, geographical information science, meteorology, and physical oceanography, the storm surge team develops models and forecast products to help predict and warn about storm surges and other coastal flooding events.


LAMP image/link

The Localized Aviation MOS Program (LAMP) system is designed to frequently update the central Model Output Statistics (MOS) product suite primarily by incorporating the most recent observational data. LAMP guidance is available at stations and on the NDFD grid. LAMP products are updated hourly and valid over a 25-hour period.




Judy Ghirardelli

Division Chief


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