Maria Frediani

Project Scientist at NCAR - The National Center for Atmospheric Research

Boulder, Colorado, United States
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Summary

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Maria Frediani is a Project Scientist at NCAR with four years of focused experience in numerical weather prediction and atmospheric modeling. She holds a PhD in Engineering from the University of Connecticut and advanced degrees in Atmospheric Sciences from Universidade de São Paulo, combining rigorous theory with practical model development. Her research has quantified NWP sensitivities and upscale error growth from stochastic perturbations in microphysics and diffusion schemes, and she has investigated how initialization and complex terrain affect extreme-storm simulations in the Mediterranean. Known for bridging detailed parameterization work in WRF with broader predictability questions, she brings both deep domain expertise and a track record of collaborative, interdisciplinary projects. Based in Boulder, Colorado, Maria blends academic rigor with operationally relevant science that informs weather prediction improvements.
code5 years of coding experience
bookDoctor of Philosophy - PhD, ENGINEERING, Doctor of Philosophy - PhD, ENGINEERING at University of Connecticut
bookUniversity of São Paulo
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Stackoverflow

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Github Skills (12)

simulation10
fortran10
forecasting10
forecast10
meteorology10
weather10
noaa10
atmospheric-modelling9
weather-data5
grib3
netcdf3
python2

Programming languages (2)

RustFortran

Github contributions (5)

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mefrediani/WRF

Aug 2021 - Jan 2023

The official repository for the Weather Research and Forecasting (WRF) model
Contributions:43 commits, 50 pushes, 34 branches in 1 year 5 months
forecastingmeteorologyatmospheric-modellingnetcdfgrib
Contributions:1 release, 3 pushes, 1 branch in 9 months
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