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EPAD

Earth Prediction Advancement Division

Who We Are

GSL's EPAD develops, assesses, and applies Earth system prediction models. EPAD works at local to global and hourly to seasonal scales. EPAD also has a focus on advancing the science and technology of these modeling systems that demand massive amounts of computing.

EPAD aligns with the GSL Strategic Plan Goal 2: Develop state-of-the-art Earth-system prediction capabilities

EPAD Branches

Atmospheric Composition
Atmospheric Composition

The atmosphere is made up of a complex mixture of chemicals that interact with each other and the weather.

Innovation Assessment
Innovation Assessment

The Innovation Assessment Branch (IAB) tests and evaluates innovations for global and regional models.

Physics
Physics

EPAD's Physics branch models the physics of the Earth's surface, energy exchanges with the atmosphere, turbulent transport, clouds, precipitation, and their interaction with radiation.

Scientific Computing
Scientific Computing

The Scientific Computing Branch leverages cutting-edge technologies, such as exascale high-performance computing and artificial intelligence, to advance the development of a cloud-resolving Earth system prediction system.

Subseasonal to Seasonal
Subseasonal to Seasonal

The S2S Branch is at the forefront of the community modeling effort to develop a coupled Earth modeling system that simulates interactions between atmosphere, land, ocean, sea ice and aerosol components using the UFS for S2S prediction.

Highlights and Accomplishments

GSL's EPAD develops, assesses, and applies Earth system prediction models. EPAD also has a focus on advancing the science and technology of these modeling systems that demand massive amounts of computing.

Atmospheric Composition

Caption: The smoke forecast generated by NOAA's operational HRRR-Smoke forecast model during the smoke transport from the wildfires in Canada on June 8, 2023. During this episode the fine particulate matter concentrations reached very unhealthy levels in parts of the east coast, urban areas such as Washington DC.

HRRR
El-Nino Forecasts

Subseasonal to Seasonal Forecasts

Forecasts of the strong 2015 El Nino correctly show strong anomalous warming along the equatorial Pacific Ocean

Rapid Refresh Forecast System - Smoke and Dust

NOAA GSL and the Air Resources Laboratory are primary contributors to the Rapid Refresh Forecast System - Smoke and Dust model (RRFS-SD) that predicts smoke and dust across North America. The new RRFS SD modeling system will provide more accurate smoke and dust predictions and improve visibility, ceiling, and weather forecasts for public health.

geoflow

GeoFlow

Caption: Volume rendering of buoyancy in a rising CO2 plume.

The simulation, performed using GeoFLOW—a spectral element solver for the compressible Navier-Stokes equations—captures the transition to turbulence in a neutrally stratified atmosphere. The plume is driven by a 500 m-diameter CO₂ inflow and resolved at ~40 m grid spacing. This simulation is part of a program to develop a new type of model to capture the small-scale development of plumes, and to validate the model in ever higher-fidelity fire-weather applications. Focusing on small scale development and validating with observations is key to producing accurate weather models.

Earth Prediction Innovation Center and the Unified Forecast System (UFS)

The UFS Short-Range Weather application is designed for short-range weather forecasts at regional scales and time scales from minutes to several days. This modeling system includes all of the pre- and post-processing capabilities needed to run an end-to-end forecast, from defining a model grid to generating graphics plots of the model forecast field output. The NOAA Global Systems Laboratory (GSL) is a co-lead on the releases.

Unified Forecast System Short-Range Weather Application (UFS SRW)

The UFS SRW Application is designed for short-range weather forecasts at regional scales and time scales from minutes to several days. This modeling system includes all of the pre- and post-processing capabilities needed to run an end-to-end forecast, from defining a model grid to generating graphics plots of the model forecast field output. GSL is a co-lead on the releases.

Developmental Testbed Center (DTC)

Broad community participation is critical to accelerate the pace of improvements in numerical weather prediction and Earth system models. GSL works through the DTC to support community involvement by developing modeling infrastructure, assessing contributed innovations, and organizing events to bring together the research and operational communities.

Our Mission

Lead research and directed development through the transition of environmental data, models, products, tools, and services to support commerce, protect life and property, and promote a scientifically literate public.

Research Areas

Organizational Excellence, Earth System Prediction, Advanced Technologies, and Decision Support are the foundation to achieving the GSL Grand Challenge: Deliver actionable global storm-scale prediction and environmental information through advanced technologies to serve society.

Global Systems Laboratory