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Home » NOAA / GSL Staff Directory » Profile

Christina Holt

GSL Staff Profiles
Title
Data Assimilation
Email
christina.holt@noaa.gov
Phone
303-497-5316
Address
DSRC
325 Broadway
Boulder, CO 80305
Affiliation
CIRES

Professional Profile

Christina Holt
Bio
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.