Webinar: FY23 Notice of Funding Opportunity

WPO recently held a webinar hosted by the NOAA Central Library on the FY23 Notice of Funding Opportunity. Our Program Managers spoke in detail about about this year’s competitions for Observations, Social and Behavioral Sciences, Innovations for Community Modeling, and VORTEX-USA. We also shared tips on how to write a compelling proposal, how to successfully…

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Implications of Inconsistent Visuals

On end user uncertainty, risk perception, and behavioral intentions (Grundstein FY18) Within the last decade, operational meteorologists have raised concerns that the availability of weather information from a variety of sources may contribute to a perception that weather risk messages are inconsistent and result in negative consequences among end users. The challenge, however, is that…

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Improving Water Level Predictions

Title: Advancing ADCIRC U.S. Atlantic and Gulf Coast Grids and Capabilities to Facilitate Coupling to the National Water Model in the Extratropical Surge and Tide Operational Forecast System (ESTOFS) Operational Forecasting (Westerink FY18) The primary objective of this project is to improve predictions of water levels caused by extratropical tide and storm surge within the…

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Using Machine Learning to Improve Forecasts of Excessive Rainfall

Forecasters at NOAA’s Weather Prediction Center (WPC) are responsible for producing Excessive Rainfall Outlooks, which brings awareness to the potential for flood-inducing rains up to three days in advance. However, the amount of rain that qualifies as “excessive” varies from region to region, and pinpointing the specific areas likely to receive heavy rain is challenging,…

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Improving Wildfire Prediction with Convection-allowing models

As the climate continues to change and the frequency, severity, and impacts of wildfires increase, the importance of wildfire prediction and detection becomes even more critical. It then becomes essential to improve fire weather and smoke & air quality forecast accuracies in current operational models. This involves taking advantage of recent advancements in wind and…

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The Hurricane Analysis and Forecast System (HAFS)

The last several hurricane seasons have been active with records being set for the number of tropical storms and hurricanes in the Atlantic basin.  These record-breaking seasons underscore the importance of accurate hurricane forecasting. Imperative to increased forecasting skill for hurricanes is the development of the Hurricane Forecast Analysis System or HAFS. To accelerate improvements…

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JEDI: The Future of Data Assimilation

The process by which observational data is brought into models is called data assimilation (DA). The Joint Effort for Data assimilation Integration (JEDI) is the next generation, unified DA framework under collaborative development between NOAA and cross-agency partners through the Joint Center for Satellite Data Assimilation (JCSDA). JEDI will allow for a faster development and…

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