Curtis Alexander is the Deputy Director of GSL. Dr. Curtis Alexander (NOAA/OAR/GSL) received his undergraduate and graduate degrees from The Pennsylvania State University (1999) and the University of Oklahoma (2002, 2010) respectively. His graduate work focused on studying severe convective storms, including tornadoes, using high-resolution mobile Doppler weather radar observations. He joined the Global Systems Division (now Laboratory — GSL) of NOAA/ESRL in 2009, first as a University of Colorado CIRES employee before becoming a NOAA federal employee in 2016. He focused his research in NOAA on the development of high-resolution model systems to support convection-allowing model forecasts including data assimilation of storm-to-mesoscale information and became a division chief for the now Assimilation and Verification Innovation Division of GSL in 2017. He has helped transition multiple versions of the Rapid Refresh (RAP) and High-Resolution Rapid Refresh (HRRR) from research to operations at NWS/NCEP between 2014 and 2020 and is also a co-lead on the Unified Forecast System Short-Range Weather/Convection Allowing Model Application Team.
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Melissa (Missy) Petty serves as the Associate Director for Administration in the Global Systems Laboratory (GSL). Before joining GSL’s Office of the Director, Missy worked for the Cooperative Institute for Research in the Atmosphere (CIRA) as a GSL affiliate, serving as Chief of GSL’s Forecast Impact and Quality Assessment Section (FIQAS). In this role, she worked closely with the National Weather Service, Federal Aviation Administration, and other stakeholders to advance operationally-relevant forecast evaluation techniques and technologies, leading a multidisciplinary team of scientists and software engineers to perform formal, in-depth product assessments and develop related evaluation tools and decision support systems.Missy’s career began as a software engineer at the National Center for Atmospheric Research, where she was involved in the implementation of various forecast systems, including aviation weather forecasts for turbulence and ceiling and visibility, and a statistical forecast system that is used in multiple market segments. This was followed by a period in the private sector working for SAP, one of the market leaders in enterprise application software. She returned to the atmospheric science community as a software engineer in FIQAS, developing automated data processing and analysis systems to support forecast verification. Missy holds a Ph.D. in Mathematics from the University of Colorado, Boulder, and a B.A. in Mathematics from Millsaps College in Jackson, MS.
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Penny Granville has been GSL’s Administrative Officer since 2005. She manages the administrative staff working on Facility Access, Deemed Exports, and Property accountability. She coordinates the labs budget execution and aids in the budget formulation processes. Penny is the HR representative, processing personnel actions for Federal, CI and Contract staff. She is GSL’s Financial Management Center (FMC) serving as the focal point for all procurement and acquisitions matters monitoring all transactions such as purchase orders, credit card purchases, reimbursable agreements, travel, etc. Penny ensures GSL processes and staff are in compliance with NOAA, DOC and OAR guidelines, policies, and procedures
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Ligia Bernardet is the Chief of the Earth Prediction Advancement Division (EPAD), which works to improve, test, and apply numerical weather prediction models in scales ranging from local to global and from a few hours to seasonal. EPAD’s foci of development are coupled Earth system models and atmospheric physics/composition. Ligia got her Ph.D. at Colorado State University in 1997 in numerical prediction of mesoscale convective systems. In 1999, she took a position in the National Weather Service of her native country, Brazil, to help stand up the first operational numerical weather prediction system focused on South America. In 2003 she started working at GSL (then FSL) in model testing and evaluation activities for the Developmental Testbed Center (DTC), of which she was the Deputy Director until 2022. During 2020-2022 she was EPAD’s deputy chief.
Ligia has been continuously interested in the interface between research and operations in numerical weather prediction, and has worked to bring those communities together. She has focused on modeling infrastructure projects, such as making NOAA models easier to use by the research community. More recently, she has co-led the development of the Common Community Physics Package (CCPP) to facilitate research, development, and operational use of physical parameterizations. She has also been involved in assessments of innovations for transition to the operational Unified Forecast System (UFS).
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Daniel Nietfeld is Chief of the Weather Informatics and Decision Support (WIDS) Division. WIDS develops state-of-the-art environmental forecast, warning, decision support, and visualization capabilities to provide scientifically robust forecast tools, concepts, and analyses that support decision-making processes affected by the weather, water, and climate. We do this by coupling the latest advancements in machine learning, data visualization, social science research, and computer science/engineering with cutting-edge atmospheric and environmental science to empower forecasters and decision-makers with the best information they need. Our partners and customers are made up of numerous federal, state, and local government agencies that deal with operational weather and environmental issues; this includes the National Weather Service (NWS), the Federal and local Land Agencies that deal with wildfires, the Department of Defense, the Department of Transportation, the emergency management community, and international partners such as Australia and Taiwan. Through a partnership with NOAA's Office of Education and the Science on a Sphere (SOS) Team, we help NOAA communicate its science and develop new ways of interacting with our data. In addition, the WIDS Division hosts the NOAA Fire Weather Testbed, which leverages social science and verification expertise to enable research to operations (R2O) feedback between the creators of fire weather tools and operational decision makers.
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Steve Weygandt is the Chief of the Assimilation and Verification Innovation Division (AVID) and works on techniques to assimilate all types of weather observations, including radar and satellite data, into weather prediction models. These assimilation techniques are applied to regional models, but some applications are moving towards global model data assimilation. helped to direct the development of data assimilation systems that provide initial conditions for the Rapid Refresh (RAP) and High-Resolution Rapid Refresh (HRRR) models and has helped transition multiple versions of these models to NOAA operations since 2012. He is currently helping to direct the development of the Rapid Refresh Forecast System (RRFS) that will replace the RAP and the HRRR as the NOAA regional model application of the Unified Forecast System.
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Jenny Fox - I am from Boulder, CO and am living in the same house that I grew up in. I have always loved to travel, and after working as IT support at the Aeronomy Laboratory (the predecessor of the Chemical Sciences Laboratory) in Boulder, I took an opportunity to work for Antarctic Support Associates/Raytheon Polar Services providing IT support to scientists in Antarctica. I spent 5 years working in Antarctica, with 3 seasons at McMurdo Station, a winter over at the South Pole, and a number of cruises on the vessels (primarily Research Vessel/Ice Breaker Nathaniel B. Palmer). When I was not working on the Ice, I was traveling around Southeast Asia, New Zealand and Australia, learning to surf and scuba dive. Upon my return, I resumed supporting scientists at the Chemical Sciences Laboratory as the Sr. IT Manager, and have now joined the Global Systems Laboratory team as the Division Chief for ITS (Acting) for ITS.
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Dave Turner is GSL's Senior Scientist. The focus of his research is to better understand various processes that act upon and within the boundary layer (e.g., convective initiation, turbulent redistribution of water vapor, aerosol, and energy, land-atmosphere interactions, etc.) and ultimately to improve the representation of these processes within numerical weather prediction and climate models. Part of this work includes continuing to develop and mature different ground-based profiling technologies to measure the temperature, humidity, and turbulent structure of the boundary layer, and using these observations to gain insight into how well NWP models (such as the high-resolution rapid refresh model (HRRR) which is developed in GSL) are representing atmospheric processes and evolution. Improvement in these processes will not only enable better forecasts of impactful (severe) weather, which will also greatly benefit aviation, transportation, energy, agricultural, and other communities that depend strongly on accurate weather forecasts.
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