NOAA Data Assimilation Consortium Launched
Biden-Harris Administration announces $6.6M for new Data Assimilation Consortium to improve weather forecasting through Investing in America agenda. Research findings will be used to improve numerical prediction systems, build international collaborations.
Evaluating Computational Performance in Weather Model Testing
The #BulletinAMS encourages followers to delve into the publication to explore topics such as early warning systems for flash droughts, a comparative study on the fuel efficiency of North Pacific hurricanes versus typhoons, and the development of NOAA EPIC to enhance forecasting capabilities.
Advancing Atmospheric River Predictions Through Collaborative Innovation
EPIC’s Solutions Architect Highlights Advances in Atmospheric River Forecasting
Learn from EPIC’s Solutions Architect, as he discuss the latest advancements in forecasting atmospheric rivers. This article explores the collaborative efforts of EPIC, in collaboration with the NOAA Physical Sciences Laboratory (PSL), NOAA Global Systems Laboratory (GSL), and others, aimed at enhancing the precision of predicting these crucial weather phenomena.
Spack-stack
Explore the latest thoughts from EPIC’s Software Integration Product Owner on spack-stack’s role in environmental modeling. This tool is crucial for organizing software libraries that support the Unified Forecast System (UFS), and other applications, helping to improve system efficiency and forecasting accuracy.
EPIC at the 104th AMS Annual Meeting
The Earth Prediction Innovation Center (EPIC) attended the 104th American Meteorological Society (AMS) Annual Meeting from January 27 to February 1, 2024 in Baltimore, Maryland and engaged the community in a number of EPIC ways. The Annual Meeting provides a forum for the community to share ideas and experiences on the research and development of Earth system models and their applications in operational forecasting.
EPIC celebrates the appointment of Dr. DaNa Carlis as the director of the National Severe Storms Laboratory (NSSL)
The EPIC Team was so excited to hear about Dr. DaNa Carlis’ appointment as the next director of the National Severe Storms Laboratory (NSSL), which is headquartered in his home state of Oklahoma! When EPIC was established a few years ago, DaNa’s visionary leadership as EPIC’s founding program manager transformed the program from a nascent […]
An EPIC AMS
Earth Prediction Innovation Center (EPIC) team members attended the 103rd American Meteorological Society (AMS) Annual Meeting from January 8-12, 2023 in Denver, CO and engaged the community in a number of EPIC ways. The Annual Meeting provides a forum for the community to share ideas and experiences on the research and development of Earth system models and their […]
Check out the workshop report for last year’s Unifying Innovations in Forecasting Capabilities Workshop (UIFCW)!
In July 2022, EPIC, the Unified Forecast System (UFS), and UFS Research to Operations (R2O) teams co-hosted the first Unifying Innovations in Forecasting Capabilities Workshop (UIFCW) in College Park, MD. Ashley Stagnari, EPIC’s Summer 2022 William M. Lapenta Intern, joined the team to develop the UIFCW report titled “Working with Stakeholders: Engaging Sectors to Influence […]
EPIC Highlighted on Open.Science.gov
In recognition of the Year of Open Science, NOAA (National Oceanic and Atmospheric Administration) and EPIC (Earth Prediction Innovation Center) have been highlighted on Open.Science.gov for the collaborative and open science work on the Unified Forecast System (UFS). EPIC is one of the programs that is managed under the Weather Program Office and is at the core […]
UFS Land Data Assimilation (DA) System v1.1.0
The Earth Prediction Innovation Center (EPIC) and the Unified Forecast System (UFS) community are proud to announce the public release of the UFS Land Data Assimilation (DA) System v1.1.0. This release is an update to the inaugural public release v1.0.0 from March 2023 and reflects changes currently available at the head of the UFS land-DA_workflow development […]
