Prof McCabe studied Civil and Environmental Engineering at the University of Newcastle
in Australia, where he received his undergraduate and post-graduate degrees. He then spent 5 years in the United States, working with Prof Eric Wood at Princeton University
and then at Los Alamos National Laboratory
in New Mexico. Matthew returned to Australia in 2008 to take up a faculty position at the University of New South Wales
. In late 2012, he joined the Faculty at KAUST.
Prof. McCabe's research interests encompass the modelling and observation of terrestrial water and energy cycles. This involves using satellite-based remote sensing approaches and in-situ techniques to characterise the terrestrial and atmospheric systems, with a focus on describing hydrological behaviour across local, regional and global scales. These efforts also involve exploring the effective use and integration of observations within modelling systems with the aim of improving our capacity to understand (and predict) water and energy cycle processes. The ESOM Group is active in field based measurements techniques, modelling of hydrological processes, evaluation and validation of remote sensing retrievals and the application of techniques to merge observations and modelling frameworks.
For a full listing of publications, please refer to my Google Scholar
- Ershadi A, McCabe MF, Evans JP, Walker JP (2013) “Effects of spatial aggregation on the multi-scale estimation of evapotranspiration” Remote Sensing of Environment 131, 51-62
- Liu Y, AIJM van Dijk, MF McCabe, JP Evans and
RAM de Jeu (2012) "Global vegetation biomass change (1988–2008) and
attribution to environmental and human drivers", Global Ecology and
- Liu YY, Evans JP, McCabe MP, de Jeu RAM, van Dijk AIJM, Dolman AJ and Saizen I (2013) “Changing climate and overgrazing are decimating Mongolian Steppes”, PloS One 8(2), e57599
- Evans JP and McCabe MF (2013) “Effect of model resolution on a regional climate model simulation over southeast Australia” Climate Research, 56, 131-145
- McCabe MF, Evans JP, Mariethoz G and Kavetski D (2013) “A Bayesian analysis of sensible heat flux estimation: quantifying uncertainty in meteorological forcing to improve model prediction”, Water Resources Research (in press)
Scientific and Professional Memberships