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Nathan Dahl

Research Scientist (CIMMS/SPC)

I am developing and testing algorithms to improve the efficiency of model output post-processing for the SPC mesoanalysis while maintaining accuracy, with the goal of producing CONUS-wide analysis fields at CAM resolution (3 km) updating every 15-30 minutes. I am also exploring ways to improve HAILCAST maximum hail size forecasts in NSHARP through machine learning.

Education

Ph.D. in Meteorology, University of Oklahoma, 05/2014

M.S. in Meteorology, University of Oklahoma, 12/2008

B.S. in Meteorology, University of Oklahoma, 05/2006

Experience

Postdoctoral Research Associate, University of Oklahoma School of Meteorology, 2016-2018

Postdoctoral Research Associate, University of Miami Rosenstiel School of Marine and Atmospheric Science, 2014-2016

Research Team(s):

CIMMS at SPC