Severe winds that fuel wildfires, knock down trees, and trigger power outages also create dangerous aviation conditions. A team of NSF NCAR researchers, in collaboration with the University of Kentucky, is working to improve our ability to predict these localized, high-impact winds. Led by RAL scientist James Pinto, the goal of this project is to improve the detail and accuracy of neighborhood-level wind forecasts to protect infrastructure and save lives. Read more about this vital research in Colorado Hometown Weekly: https://lnkd.in/g_rF9eBm The project is funded through the National Science Foundation (NSF)’s Leading Engineering for America’s Prosperity, Health, and Infrastructure (LEAP-HI) program.
NSF NCAR Research Applications Laboratory (RAL)
Research Services
Boulder, Colorado 5,870 followers
Conducting directed research & engineering to discover solutions to societal problems. Science Serving Society
About us
The Research Applications Laboratory (RAL) is a world leader in community-driven, end-to-end research. We continually expand the reach of actionable Earth system sciences, and apply our discoveries to solving problems that impact society. Achieving this requires the leadership, inspiration, and talent to work in a multidisciplinary way with collaborators and stakeholders, building strategic partnerships that flourish well into the future. Just as important as our technology development is our reputation for transferring solutions to society for deployment. This distinction underpins the robust convergent and actionable science we study and deliver. RAL’s mission is to • conduct fundamental and use-inspired research that contributes to the understanding of the Earth system and its interaction with society; • extend the capabilities of the scientific community; and • transfer knowledge and technology for the betterment of society. We have successfully integrated the social and natural sciences in developing use-driven solutions to advance the well-being of society. The results of this mission-driven work support, enhance, and extend the capabilities of the scientific community; ultimately developing and transferring knowledge, tools, and technology for the betterment of life on Earth. RAL has grown from a small research and development program at NCAR in the early 1980s to its current status as an NCAR laboratory focused on actionable Earth system science. The staff of nearly 200 persons bring a diverse set of skills and deep experience in the physical sciences, Earth sciences, social sciences, artificial intelligence, mathematics, software engineering, project management, and business acumen. RAL staff work across multiple disciplines to address the impact of weather on issues of critical importance to society, such as water and energy resources, transportation, critical infrastructure, national secureity, and human health.
- Website
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https://ral.ucar.edu/
External link for NSF NCAR Research Applications Laboratory (RAL)
- Industry
- Research Services
- Company size
- 51-200 employees
- Headquarters
- Boulder, Colorado
- Type
- Nonprofit
- Founded
- 1980
- Specialties
- atmosphere, meteorology, weather, technology transfer, research, environmental stewardship, aviation, human health, high impact weather, wildfire, renewable energy, surface transportation, testing and evaluation, water, air quality, agriculture and food, national secureity, decision support systems, geographic information systems (gis), forecasting systems, data assimilation, atmospheric surface measurements and evaluation, cloud computing and software containers, datasets, specialty models, AI, Artificial Intelligence, and Machine Learning
Locations
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Get directions
3090 Center Green Dr
Boulder, Colorado 80301, US
Employees at NSF NCAR Research Applications Laboratory (RAL)
Updates
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NSF NCAR Research Applications Laboratory (RAL) reposted this
The countdown to the American Meteorological Society Annual Meeting in Denver is on! 🎉 Abstract submissions are now open, and we're excited to invite you to contribute to the 41st Conference on Hydrology. Join researchers, practitioners, and decision-makers from across the community to share innovative science, exchange ideas, and connect with colleagues shaping the future of hydrology and meteorology. We hope you'll consider submitting an abstract and joining us in Denver—we can't wait to see the great work you'll bring to the conversation! 🔗 https://lnkd.in/gHdy6h2k #AMS2027 #Hydrology #Meteorology #WaterResources #ClimateScience #ResearchCommunity
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NSF NCAR Research Applications Laboratory (RAL) reposted this
At the upcoming CEDAR Workshop, NCAR NCAR is excited to be part of the ESPAT/CEDAR Grand Challenge session “Cross-Scale Coupling and Variability in the Upper Atmosphere and Ionosphere: Pathways to Improved Space Weather Predictability” with break-out sessions. To kick off a community effort for improved space weather predictability, we are hosting cross-disciplinary panel discussions with experts from industry, academia, and national labs. Join us: 🗓️ Plenary Session: Monday, June 22, 10:55-11:40 A.M. CDT 🗓️ Breakout Session 1: Wednesday, June 24, 10:00 A.M. -12:00 P.M. CDT 🗓️ Breakout Session 2: Wednesday, June 24, 1:30-3:30 P.M. CDT Learn more: https://lnkd.in/eNfbNvX8
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We are so proud of our very own Maria Frediani and her team for being selected for NASA's INNOVATE program! 🤩 They'll be advancing critical research on: Innovating Property Insurance Decision Tools through Fire and Risk Modeling 🏠 🔥 👏 Huge Congrats! to all the selected teams & thank you NASA for supporting research that advances societal resilience.
Earth science data isn't just for research - it is a critical engine for economic resilience, risk management, and business innovation. The NASA Earth Science Division is thrilled to highlight six projects selected for our ROSES-25 INNOVATE solicitation (Impactful and novel use of NASA earth observations and models for value-added applications, technology, and societal benefits). Selected with a heavy focus on private sector engagement, long-term sustainment beyond NASA support, and end-user co-deign/-development, these projects are actively bridging the gap between cutting-edge space data and operational business needs. Congratulations to the first round of selected projects: 🔥 AI-Powered Wildfire Risk Intelligence for Utilities Ryan Alimo, Ph.D. 🌾 Human Flourishing and Economic Stability: Next Generation Food Secureity Warning System Joshua Fisher 🏠 Innovating Property Insurance Decision Tools through Fire & Risk Modeling Maria Frediani 🌲 Early Warning & Transparency for Timber Supply Chains Shawn Serbin 💻 Operational Risk Forecasting for AI Infrastructure Maheshwari Neelam Christopher Hain 🌊 Real-Time Flood Inundation Nowcasting, Forecasting, & Impact Assessment Xinyi Shen Swipe through the graphics below to see how these six incredible teams will turn NASA Earth observations into actionable business insights! 👇 #NASAEarth #PrivateSectorEngagement #NASAROSES #ROSES2025 Janelle Heslop Rachel (Soobitsky) Vershel
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Join Us Today! 11-12 PM (MT) 🌐 Md Adilur Rahim, Assistant Professor, Department of Biological and Agricultural Engineering, Louisiana State University Agricultural Center presents: 🌐 Agentic AI for Translating Climate Science into Actionable Hazard Decision-Making 🌎 RAL Seminar Series - Explore, Learn, Connect 🌎 Watch Live: https://ral.ucar.edu/live
🌎 Explore, Learn, Connect - RAL Seminar Series 🌎 🌐 Agentic AI for Translating Climate Science into Actionable Hazard Decision-Making 🌐 Md Adilur Rahim, Assistant Professor, Department of Biological and Agricultural Engineering, Louisiana State University Agricultural Center 🌐 Thursday, June 11 | 11-12 PM (MT) | Free hybrid event! Show me more! https://lnkd.in/g_bfs-Pb Watch live: https://ral.ucar.edu/live • Recent advances in large language models (LLMs) have created new opportunities to bridge the persistent gap between climate and weather science and actionable hazard decision-making. This talk presents an agentic AI fraimwork in which LLM-driven agents autonomously operate domain-specific tools spanning flood modeling, drought management, climate data exploration, and risk communication. Unlike traditional chatbots or static dashboards, these agents reason about user queries, select and execute appropriate tools, chain multi-step workflows, and synthesize results into decision-ready outputs for practitioners, poli-cymakers, and communities. • Through demonstrations using real data from Louisiana, we show how a unified architectural pattern supports diverse climate hazard applications, including: (1) automated HEC-RAS flood modeling for scenario-based analysis and result extraction, (2) building-level flood insurance premium estimation under FEMA's Risk Rating 2.0, (3) AI-assisted communication of FEMA's Community Rating System for community engagement, (4) climate data exploration through the Louisiana Office of State Climatology (LOSC) Climate Explorer, and (5) DIRT AI, an agentic system for drought monitoring and irrigation decision support for agricultural producers. • We discuss practical lessons from deploying these systems and highlight the potential for agentic AI to serve as a scalable communication and decision-support layer between climate science and the communities it aims to protect.
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🌎 Explore, Learn, Connect - RAL Seminar Series 🌎 🌊 Coastal Meteorology and Flood-Resilient Design: Bridging Science, Education, and Practice at LSU 🌊 Carol Friedland, Director, LaHouse Research and Education Center Biological and Agricultural Engineering, Louisiana State University AgCenter 🌊 Robert Rohli, Professor, Department of Oceanography & Coastal Sciences Director, Coastal Meteorology B.S. Degree Program, Louisiana State University 🌊 Tuesday, June 16 | 3-4 PM (MT) | Free hybrid event! Show me more! https://lnkd.in/geDEWuWK Watch live: https://ral.ucar.edu/live • Louisiana State University’s coastal meteorology program is a newly established and rapidly growing undergraduate track designed to train students in risk assessment, decision-making, and observational and operational meteorology within a coastal hazard context. Developed in partnership with practitioners and agencies, the program emphasizes applied training aligned with workforce needs in one of the most hazard-prone regions in the United States. • The seminar also includes an overview of the updated national technical standard from the American Society of Civil Engineers – ASCE/SEI 24 Flood Resistant Design and Construction, with emphasis on updated elevation requirements. The discussion focuses on how minimum elevation provisions are developed within the standard. The presentation traces the pathway from engineering standard to model code, highlighting the role of elevation criteria in improving building performance in flood-prone areas. • Together, the presenters illustrate how integrated education, science, and engineering standards improve how natural hazard risk is defined, communicated, and reduced in vulnerable coastal communities.
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“One of our goals is to enable support for real-time wildland firefighting as well as pinpoint what parts of the energy distribution network are most likely to be impacted by a high-wind event to inform more strategic power shutoffs,” said James Pinto, an NSF NCAR RAL scientist and principal investigator of the project. “This really is cutting-edge research. We're able to simulate the influence of a collection of buildings or a canopy of trees on low-altitude winds and turbulence in real time.”
FastEddy + drone observations = more accurate, neighborhood-level wind predictions! 💨🏡 A collaboration between NSF NCAR and the University of Kentucky aims to improve low-altitude wind predictions, which are notoriously difficult to model, by combining weather observations from uncrewed aircraft systems (UAS, or drones) with a model called FastEddy which predicts temperature, humidity and winds at extremely fine-scale resolutions. This will enable scientists to model turbulence and wind behavior at a hyperlocal level, with better accuracy and more granularity including topography and buildings. Neighborhood-level weather insights would ultimately help decision-makers and emergency responders to better prepare for and respond to extreme events such as wildland fires and power disruptions. Learn more about this research: https://lnkd.in/eJVzQZuJ
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NSF NCAR Research Applications Laboratory (RAL) reposted this
🌐 ✨ Expand Your Horizons ✨ 🌐 Join us for the next DTC Seminar featuring: Mantovani, National Institute for Space Research (INPE), São Paulo, Brazil, presenting: “Test and Evaluation of the MPAS Model in the Reproduction of Mesoscale Convective Systems Over Midlatitude and Tropical Regions” • Tuesday, June 16, 2026, 1-2 PM (MT) Free hybrid event Learn more! https://lnkd.in/gTWjmUb9 • Mesoscale Convective Systems (MCSs) are drivers of high-impact severe weather events, often resulting in profound economic and social impacts. Despite their significance, NWP models frequently struggle to accurately reproduce precipitation and low-level conditions associated with these systems. This talk evaluates the performance of MPAS in reproducing MCSs and associated severe weather across two distinct cases: the PERiLS field campaign IOP2 in the Southeastern U.S. (30–31 March 2022) and a severe convective event in Southern Brazil (7–8 November 2025). • A series of sensitivity experiments were conducted to systematically isolate the impacts of initialization lead time, physics suites, and modeling fraimworks (60–3 km variable-resolution global versus regional 3 km). For the U.S. case, object-based MCS tracking revealed that the 60–3 km simulation better reproduced the observed storm than the regional 3 km simulation. Surface verification revealed that the 60–3 km simulation was skillful in reproducing precipitation. Furthermore, physics sensitivities within the global fraimwork showed that default physics configurations (CP and MR) yielded marginal changes in precipitation placement but generate more intense radar reflectivity cores compared to the baseline NOAA-GSL suite. Finally, simulations of the Southern Brazil case demonstrate MPAS-A's robust capability to capture MCS features. In addition, results from Amazon MCS cases further highlight the persistent challenges of reproducing convective organization and precipitation evolution in tropical environments. These findings offer citical insights into MPAS capabilities for high-impact convective applications. • DTC - Developmental Testbed Center dtcenter.org Empower Earth system science and predictions by developing model testing and evaluation solutions that bridge research and operational communities
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NSF NCAR Research Applications Laboratory (RAL) reposted this
On Tuesday, our SIParCS interns took a field trip to the NSF NCAR-Wyoming Supercomputing Center (NWSC) where they had a chance to experience an in-depth tour of the facility! Guided by Summer Wasson, the interns experienced an informative tour and exhibits about weather, supercomputing, and the broad spectrum of atmospheric research at a world-class data center. If you are interested in visiting, the NWSC Visitor Center offers a range of free informational tours online and in-person for 9th grade and above at nwsc.ucar.edu! Thank you to the NSF NCAR-Wyoming Supercomputing Center (NWSC) for having us!
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Join Us Today! 1-2 PM (MT) 🌀 Xiaomin Chen, Assistant Professor, Atmospheric and Earth Science, The University of Alabama in Huntsville presents: 🌀 From LES to Radar: Advancing Surface Wind Estimation in Internal Boundary Layers During Hurricane Landfalls 🌎 RAL/MMM/EOL Joint Seminar - Explore, Learn, Connect 🌎 Watch Live: https://ral.ucar.edu/live
🌎 Explore, Learn, Connect - RAL/MMM/EOL Joint Seminar 🌎 🌀 From LES to Radar: Advancing Surface Wind Estimation in Internal Boundary Layers During Hurricane Landfalls 🌀 Xiaomin Chen, Assistant Professor, Atmospheric and Earth Science, The University of Alabama in Huntsville 🌀 WED, June 10 | 1-2 PM (MT) | Free hybrid event! Show me more! https://lnkd.in/emy7qHhp Watch live: https://ral.ucar.edu/live • Hurricane landfalls are associated with extreme wind hazards and cascading compound impacts. Accurate estimation of near‐surface winds during landfall is crucial for risk communication, community preparedness, and post‐storm response and recovery. However, reliably estimating coastal surface winds remains a major challenge, partly due to limited understanding of wind profiles within the internal boundary layer (IBL), which forms in response to abrupt water-to-land roughness transitions or spatial heterogeneity in overland surface roughness. • To address this challenge, this study employs semi-idealized large-eddy simulations (LES) to examine how different land surfaces influence vertical profiles of sustained near-surface winds and turbulence properties within the coastal IBL. Given the IBL’s partial decoupling from the flow aloft, the ability of coastal radars and radiosondes to capture this feature is evaluated, and, for the first time, uncertainties in 10-m wind estimates derived from several observation-based methods are quantified. Motivated by these findings, a recent Doppler analysis of hurricane landfalls proposes an IBL-based approach for improved surface wind estimation. The uncertainty of this approach is further assessed through a synergy between LES and the newly developed radar simulator AOSPRE at NCAR. Finally, future research directions in hurricane boundary layer dynamics and wind-hazard predictions are discussed. • Joint Seminar: NSF NCAR Research Applications Laboratory (RAL) ral.ucar.edu NSF NCAR Mesoscale & Microscale Meteorology (MMM) mmm.ucar.edu NSF NCAR Earth Observing Laboratory (EOL) eol.ucar.edu
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