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Liaofan Lin

Liaofan Lin

Liaofan joined NOAA/OAR/Global Systems Laboratory as an affiliate of the Cooperative Institute for Research in the Atmosphere (CIRA) in 2019.  He is a member of the NOAA Rapid Refresh Forecast System (RRFS) implementation and operational transition team.  From 2019 to 2022, he implemented the ensemble forecast sensitivity to observation impact (EFSOI) utility into the Global Forecast System (GFS) v.16 and the developing version of RRFS.  Since 2022, his work has been focused on the implementation of Joint Effort for Data assimilation Integration (JEDI) components such as the Interface for Observational Data Access (IODA) and three-dimensional ensemble-variational (3DEnVar) hybrid analysis into RRFS as well as the EFSOI with RRFS.

Research Interests

  • Strongly-coupled land-atmosphere data assimilation
  • Land-atmosphere coupling and interaction
  • Radiative transfer modeling and data assimilation over land
  • Hydrology and hydrologic modeling

Education

  • Ph.D. in Civil Engineering, Georgia Institute of Technology, 2016
  • M.S. in Civil Engineering, Georgia Institute of Technology, 2009
  • B.S. in Civil Engineering, National Taiwan University, 2005

Related Links

LinkedIn: https://www.linkedin.com/in/liaofanlin

Google Scholar: https://scholar.google.com/citations?user=4EHv2joAAAAJ

Google Voice: 307-206-4252

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