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Global Systems Laboratory
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Latest DESI upgrades include AI models, new datasets, and more
GSL’s latest release of the powerful Dynamic Ensemble Scenarios for Impact-based decision support (DESI) is now live on both the GSL experimental product development server and the National Weather Service (NWS) cloud platform. Version 3.5, released September 2025, brings several new features and datasets to support research and operations across...
New upgrades to HRRR-Cast: the experimental AI-powered regional model
The AI-powered, data driven “sibling” of NOAA’s regional forecast system has received an upgrade. HRRR-Cast, first released by GSL in July 2025, is NOAA’s first regional forecast system powered by AI. This next generation introduces increased vertical resolution, new forecast variables, and ensemble forecast capabilities. HRRR-Cast Version 1 demonstrated...
NOAA Testbeds help GSL advance forecast and weather information systems
NOAA’s Testbeds and Proving Grounds are critical partners for moving research forward from NOAA’s research laboratories toward operations or other uses at National Weather Service (NWS) and other adopters. Over the past year, GSL scientists have worked with several Testbeds and Proving Grounds to test and evaluate their experimental forecast,...
More From GSL
GSL invests in fire weather science with state-of-the-art testbed upgrade
NOAA’s Fire Weather Testbed (FWT) has completed a major facility upgrade, unveiling new furniture, dynamic signage, and advanced display systems to strengthen its role as a hub for fire weather innovation and a trusted resource for the wildland fire community. GSL’s updated Fire Weather Testbed layout, including new mission control...
NOAA report on research transitions highlights GSL impacts
NOAA’s Line Office Transition Managers Committee (LOTMC) has published its Fiscal Year 2024 NOAA Annual Transition Report, led by the NOAA Office of Research, Transition, and Application (ORTA). This inaugural report summarizes each fiscal year’s wide range of research and development projects that NOAA transitions to operations, applications, commercialization, or...
New mobile NOAA Research fire weather observing facility undergoes testing in Colorado
A new, mobile fire weather observing system that can be quickly deployed to wildfire-prone regions to monitor how weather conditions contribute to fire ignition risk and behavior is undergoing testing and collecting data on a site near Boulder, Colorado. The mobile system, called “Collaborative Lower Atmospheric Mobile Profiling System” (CLAMPS),...
GSL scientists develop the Hourly Wildfire Potential Index
Wildfire was once a seasonal concern primarily for the western United States and Great Plains. It has now become a year-round threat in many parts of the country, devastating communities, impacting air quality, and reshaping landscapes. In the face of the escalating risk, scientists at NOAA’s Global Systems Laboratory (GSL)...
NOAA’s Fire Weather Testbed explores a comprehensive and collaborative approach to wildland fire alerts
NOAA’s Fire Weather Testbed (FWT) has released a report detailing its comprehensive evaluation of an innovative end-to-end workflow to address the wildfire warning gap. As wildland fires increasingly impact communities with devastating outcomes, they reinforce an urgent need to close the warning gap between ignition and public alert. To...
Introducing DESI Digest
Introducing the DESI Digest! NOAA’s Dynamic Ensemble-based Scenarios for IDSS (DESI) is a cutting-edge research tool empowering forecasters to explore a vast array of potential weather scenarios. DESI delivers customizable displays of high-resolution guidance, crucial for risk-based decision-making and fostering collaboration between researchers and operational partners. The DESI Digest...
HRRR-Cast unleashes AI for regional weather forecasting
NOAA’s Global Systems Laboratory (GSL) is breaking new ground in weather prediction with the development of HRRR-Cast, NOAA’s first data-driven, artificial intelligence (AI)-powered regional forecasting system. This innovative project, a key component of NOAA’s broader Project EAGLE (Experimental Artificial intelligence Global and Limited area Ensemble) system, represents a significant...
DESI gets to know its users: GSL performs the first comprehensive evaluation of powerful analysis tool
Researchers at the NOAA Global Systems Laboratory (GSL) have completed the first comprehensive evaluation of one of GSL’s flagship decision-support tools. The Dynamic Ensemble-based Scenarios for Impact-based Decision-Support Services (DESI) is a web-based application that allows meteorologists and other users to explore ensemble weather model data and extract probabilistic information...
GSL offers new storm surge alert tool
Emergency responders in central Florida navigating flooding resulting from storm surge during Hurricane Ian in 2022. Source: NOAA/NHC Hurricane Ian Tropical Cyclone Report. Image Credit: Phelan M. Ebenhack/EBENP, via Associated Press The deadliest hazard from tropical storms and hurricanes isn’t wind – it’s storm surge and the flooding that follows....
Weather prediction workshop and community model upgrades spotlight GSL-driven advancements
GSL’s model developers and evaluators have been hard at work testing, advancing, and planning the next generation of numerical weather prediction models. Recently, this has included taking a leading role at a recent workshop for the scientific community and making significant contributions to recent releases of two major atmospheric modeling...
Fire Weather Testbed brings local experts together for wildfire research workshop
On June 6, 2025, NOAA’s Global Systems Laboratory (GSL) hosted a workshop led by the National Science Foundation’s Advanced Sensing and Computation for Environmental Decision-making Engine (NSF ASCEND Engine) in Colorado and Wyoming. The hybrid workshop, with virtual and on-site participation at the Fire Weather Testbed on NOAA’s Boulder campus,...
GSL scientists earn Outstanding Scientific Paper awards from NOAA Research
NOAA Research has announced the 2025 recipients of the Office of Oceanic and Atmospheric Research (OAR) Outstanding Scientific Paper Awards. This year, two of the eight outstanding papers included significant contributions by GSL scientists, including one landmark paper led by the lab. Annually, OAR recognizes several significant scientific publications and...
Supporting atmospheric observing networks and weather modeling across the globe
As part of its commitment to advancing meteorological observations and modeling systems, GSL has developed a new tool to process measurements taken at field sites worldwide, and delivered it to two major partners. The new algorithm, called the Tropospheric Remotely Observed Profiling via Optimal Estimation (TROPoe), derives vertical profiles of...
Experimental smoke model provides early warning of wide-reaching impacts
Experimental RRFS-Smoke model forecast for vertically-integrated smoke concentration on June 3, 2025. Days before the Midwest and Eastern regions of the U.S. were impacted by dense smoke, haze, and poor air quality, GSL’s Rapid Refresh Forecast System (RRFS) Smoke model drew forecaster attention to the potential spread of the smoke...
Latest DESI upgrade includes next-generation model data
DESI display of RRFS forecast wind speeds over North America. RRFS’s North America domain allows for high-resolution weather prediction across the entire continent and surrounding oceans. Image credit: NOAA GSL. GSL has released its latest update to the powerful Dynamic Ensemble Scenarios for Impact-Based Decision Support (DESI) tool on both...
GSL technology to support aviation safety in The Bahamas
NOAA has signed an agreement with Sky Miles Limited, a Bahamian company, for GSL to develop and install an advanced aviation forecast system. This system will improve flight safety for airlines flying to or through the island nation’s airspace, off the United States southeast coast, and the surrounding Caribbean...
GSL partners with MSU Denver to host undergraduate research interns
GSL scientists spent part of this spring mentoring five Metropolitan State University at Denver (“MSU Denver”) undergraduate students through an internship program supported by the National Science Foundation (NSF) and the Colorado-Wyoming (CO-WY) Engine. The internship is funded by the NSF Advanced Sensing and Computation for Environmental Decision-making (ASCEND)...
Community forecast model adds fire and smoke prediction capabilities
A new upgrade of the Unified Forecast System’s (UFS) Short-Range Weather (SRW) Application, which was released by the Earth Prediction Innovation Center (EPIC) in April 2025, contains significant contributions from the NOAA Global Systems Laboratory (GSL). The update (Version 3.0) adds new capabilities for modeling wildfire smoke and dust for weather model developers...
A new hazardous weather warning system proves its mettle during March tornado outbreaks
From March 13 to 16, 2025, a historic and deadly tornado outbreak swept across the central United States, unleashing severe weather from the Gulf Coast to central Illinois. The storm system produced more than 115 confirmed tornadoes, and resulted in $6.25 billion in damage and 23 fatalities, making it one...
GSL releases update to DESI weather analysis tool
NOAA’s Global Systems Laboratory (GSL) has released a significant update to the Dynamic Ensemble-based Scenarios for Impact-Based Decision Support (DESI). The latest release, Version 3.3, launched in February 2025 and incorporates a host of improvements aimed at enhancing usability, visualization, and its suite of critical environmental data. Recent releases have offered...
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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.
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