RiVorS deployment (Photo by Matthew Mahalik/OU CIMMS)

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…

Global Extratropical Storm and Tide Operational Forecast System (Global ESTOFS)

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…

excessive rainfall noaa

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,…

UFS Weather Model Image of moving Nests

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…

NASA Earth Observatory image by Robert Simmon, using Suomi NPP VIIRS data provided courtesy of Chris Elvidge, NOAA National Geophysical Data Center. (NASA / Earth Observatory)

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…

Man looks at code on large computer screen.

UFS Community Modeling Support

Community development of the Unified Forecast System (UFS) requires a shared community modeling infrastructure framework, whereby the entire modeling suite (components and applications) follows a collaborative development paradigm. This project laid the foundation for creating a development and maintenance modeling infrastructure to support the involvement of the public, private, and academic community within the UFS…

Lighting flashes as the aircraft carrier USS Abraham Lincoln (CVN 72) transits the Strait of Malacca. Abraham Lincoln is underway on a scheduled deployment to the U.S. 7th and U.S. 5th Fleet areas of responsibility. (U.S. Navy photo by Mass Communication Specialist 3rd Class Colby K. Neal/Released)

Weather Program Office Accepting Proposals for FY2023 Funding Opportunity

NOAA’s Weather Program Office (WPO) is soliciting proposals for four grant competitions valued at approximately $13.5 million per year for the following competitions:  Projects should focus on advancing science and technology from research innovations to transitionable outputs or prototype products that NOAA or external partners could further develop into practical applications and operations.  In alignment…

UFS Weather Model Image of moving Nests

Implementation and testing of stochastic perturbations within a stand-alone regional (SAR) FV3 ensemble using the Common Community Physics Package (CCPP).

The Weather Program Office is working with the Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University (CSU) and the National Center for Atmospheric Research (NCAR) to advance the forecast capabilities of the Rapid Refresh Forecast System (RRFS) through the testing and implementation of stochastic physics configurations. Researchers are testing various configurations…