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GSL at the 2024 European Geophysical Union General Assembly
GSL will present new research at the 2024 European Geophysical Union General Assembly in Vienna, Austria. Topics include research to predict smoke, dust, and other aerosols, and advances in scientific computing and atmospheric physics.
- Research and Development within the Scientific Computing Branch of NOAA’s Global Systems Laboratory – Isidora Jankov, Daniel Abdi, Naureen Bharwani, Emily Carpenter, Christopher Harrop, Christina Holt, Paul Madden, Timothy Sliwinski, Duane Rosenberg, and Ligia Bernardet
- Predicting Fire Aerosols and their Impact on Subseasonal to Seasonal Weather Forecasts in NOAA’s Global Aerosol Forecast Systems – Li Zhang, Georg Grell, Partha Bhattacharjee, Shan Sun, Anders Jensen, Jordan Schnell, Haiqin Li, Yunyao Li, Barry Baker, Judy Henderson, Ravan Ahmadov, Ligia Bernardet, Daniel Tong, Ziheng Sun, Li Pan, Bing Fu, Raffaele Montuoro, Jian He, Rebecca Schwantes, and Siyuan Wang and the NOAA team
- The Common Community Physics Package: Recent Updates and New Frontiers – Ligia Bernardet, Dustin Swales, Grant Firl, Mike Kavulich, Samuel Trahan, Soren Rasmussen, Daniel Abdi, Vanderlei Vargas, Jimy Dudhia, Man Zhang, Tracy Hertneky, Weiwei Li, Lulin Xue, and Isidora Jankov
- Improving Earth System Models via Hierarchical System Development – Michael Ek and the DTC HSD team
- Unifying Atmospheric Composition in the Unified Forecasting System Through UFS-Chem Development – Rebecca Schwantes, Barry Baker, Ravan Ahmadov, Larry Horowitz, Lori Bruhwiler, Jian He, Zachary Moon, Jordan Schnell, Andrew Schuh, Li Zhang, Arthur Mizzi, Georg Grell, Vaishali Naik, David Fillmore, Matthew Dawson, Mary Barth, Havala Pye, Benjamin Murphy, Ligia Bernardet, and Brian McDonald and the
- The Impacts of Aerosol-physics Interactions on Numerical Weather Prediction in NOAA’s Global Unified Forecast System (UFS) – Haiqin Li, Georg Grell, Saulo Freitas, Li Zhang, and Ravan Ahmadov
- Machine Learning Based Closure Optimization for the Unified Convection Parametrization – Janaina Nascimento, Alessandro Banducci, Haiqin Li, and Georg Grell
- Simulating aerosol-radiation effect on subseasonal prediction in a coupled Unified Forecast System and CCPP-Chem: prescribed aerosol climatology versus dynamic aerosol model – Shan Sun, Georg Grell, Li Zhang, Judy Henderson, and Haiqin Li
- Advancements made to NOAA’s FENGSHA dust emission scheme within the Unified Forecast System with applications to regional air quality and subseasonal to seasonal forecasting – Barry Baker, Margaret Marvin, Wei-Ting Hung, Ivanka Stajner, Jeff McQueen, Raffaele Montuoro, Cory Martin, Jianping Huang, Patrick Campbell, Youhua Tang, Georg Grell, Li Zhang, Ravan Ahmadov, and Partha Bhattacharjee
- Forecasting smoke and dust in NOAA’s next-generation high-resolution coupled numerical weather prediction model – Ravan Ahmadov, Haiqin Li, Johana Romero-Alvarez, Jordan Schnell, Sudheer Bhimireddy, Eric James, Ka Yee Wong, Ming Hu, Jacob Carley, Partha Bhattacharjee, Barry Baker, Georg Grell, Chuanyu Xu, Shobha Kondragunta, Fangjun Li, Samuel Trahan, and Margaret Marvin
- Initial-Value vs. Model-Induced Forecast Errors: A New Perspective – Zoltan Toth and Isidora Jankov
- A Research Agenda for the Evaluation of AI-Based Weather Forecasting Models – Imme Ebert-Uphoff, Jebb Q. Stewart, and Jacob T. Radford and the CIRA-NOAA team
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
