GFDL - Geophysical Fluid Dynamics Laboratory

 

Alexandra Jones

Postdoctoral Research Associate

NOAA Geophysical Fluid Dynamics Laboratory

Atmospheric Physics and Climate Group

 

 

Contact Information:

Rm 212, 201 Forrestal Rd.

Princeton, NJ 08540

Email: Alexandra.Jones@noaa.gov

Phone: (609) 452-6518

Research Interests:

My research interests fall into the areas of atmospheric radiative transfer, satellite remote sensing, and high performance computing. Currently I am working on the World Meteorological Organization’s radiative forcing model intercomparison project (RFMIP) to quantify the impact of radiative parameterization error on the direct of effect of aerosol on the modeled climate. During my PhD work I developed a 3D, broadband, Monte Carlo Radiative Transfer Model, called MCBRaT3D, to represent high spatial and spectral resolution simulations of solar and thermal radiation transport in earth’s atmosphere. During my Master’s project I utilized NASA datasets from the MISR, MODIS, and ASTER instruments on board the Terra satellite platform. I developed a pattern recognition algorithm to correct over estimations of regional cloud fraction due to low-spatial-resolution effects.

High performance computing is the thread that ties all of these things together. Cutting edge computing resources enable cutting edge science and in-turn cutting edge science informs the design of future computing resources. I’m passionate about advocating for high performance computing and big-data management throughout my career as it has the potential to advance scientific understanding immensely.

Recent Publications:

  1. Jones, Alexandra L., and L Di Girolamo, March 2018: Design and Verification of a New Monochromatic Thermal Emission Component for the I3RC Community Monte Carlo Model. Journal of the Atmospheric Sciences, 75(3), doi:10.1175/JAS-D-17-0251.1.
    [ Abstract ]
  2. Jones, Alexandra L., D Feldman, Stuart Freidenreich, David J Paynter, V Ramaswamy, W D Collins, and R Pincus, December 2017: A New Paradigm for Diagnosing Contributions to Model Aerosol Forcing Error. Geophysical Research Letters, 44(23), doi:10.1002/2017GL075933.
    [ Abstract ]