2017 - Sajjad Eghdamirad

Project description

2014 – 2017

Sajjad'd PhD was supervised by Ashish and Fiona, and he focussed on a very interesting problem - whether errors in GCM simulations can propagate and create biases in derived attributes (such as flows). He used Second Order Analysis (representing the second order terms in a Taylor Series expansion of a differential equation) and showed these biases can be significant.

His papers (some in review still) were:

  • Eghdamirad, S., F. Johnson, and A. Sharma (2017), How reliable are GCM simulations for different atmospheric variables?, Climatic Change, 1-12.
  • Eghdamirad, S., F. Johnson, and A. Sharma (2017), Using second-order approximation to incorporate GCM uncertainty in climate change impact assessments, Climatic Change, 1-16.
  • Eghdamirad, S., F. Johnson, F. Woldemeskel, and A. Sharma (2016), Quantifying the sources of uncertainty in upper air climate variables, Journal of Geophysical Research: Atmospheres, 121(8), 3859-3874, doi:10.1002/2015JD024341.