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Christina Holt

Christina Holt

Christina has spent her career developing and supporting the development of a variety of numerical weather prediction systems. In graduate school, she focused on applying data assimilation techniques to global and regional ensemble prediction systems before moving on to support NOAA’s Hurricane WRF for developers. She spent some time exploring the private industry, helping to assimilate satellite data collected at Spire Global, where she found her passion for software engineering. She is excited about her most recent endeavor at NOAA GSL to contribute to the development of the UFS Short Range Weather Application for the Rapid Refresh Forecast System.

Research Interests

  • Analysis and forecast system development
  • Software design and engineering best practices
  • Utilizing cloud technologies

Education

  • B.S Applied Computer Science, CU Boulder 2020
  • Ph.D. Atmospheric Science, Texas A&M University 2014
  • M.S. Atmospheric Science, Texas A&M University 2011
  • B.S. Meteorology, University of South Alabama 2009

Linked-In profile: https://www.linkedin.com/in/christinaholtphd

Related Links: GitHub: https://github.com/christinaholtnoaa

Publications

Biswas, M., L. Carson, C. Holt, and L. Bernardet, 2015: Community HWRF Users’ Guide V3.7a. NOAA Technical Memorandum, Submitted, 152 pp.

Holt, C. R., I. Szunyogh, G. Gyarmati, S. M. Leidner, and R. N. Hoffman, 2014: Assimilation of Tropical Cyclone Observations: Improving the Assimilation of TCVitals, Scatterometer Winds, and Dropwindsonde Observations. Mon. Wea. Rev., 143, 3956–3980.

Holt, C. R., L. Bernardet, T. Brown, R. Yablonsky, 2014: Community HWRF Users’ Guide V3.6a. NOAA Technical Memorandum OAR GSD-45. 134 pp.

Holt, C. R., I. Szunyogh, and G. Gyarmati, 2013: Can a Moderate-Resolution Limited-Area Data Assimilation System Add Value to the Global Analysis of Tropical Cyclones?. Mon. Wea. Rev., 141, 1866–1883.

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