2016 - Eytan Rocheta

Project description

2012 – 2016

Eytan completed a high impact PhD on representing low frequency variability in dynamically downscaled simulations.

He was supervised by Ashish and Jason Evans (from the CCRC at UNSW) and wrote the following papers (some still in review):

  • Rocheta, E., J. Evans, and A. Sharma (2014), Assessing atmospheric bias correction for dynamical consistency using potential vorticity, Environ Res Lett, 9(12).
  • Rocheta, E., M. Sugiyanto, F. Johnson, J. Evans, and A. Sharma (2014), How well do general circulation models represent low-frequency rainfall variability?, Water Resources Research, 50(1-13).
  • Rocheta, E., J. P. Evans, and A. Sharma (2017), Can bias correction of regional climate model lateral boundary conditions improve low-frequency rainfall variability?, Journal of Climate, doi:10.1175/jcli-d-16-0654.1.