Department / group: School of Geosciences
Personal URL: N/A
Google Scholar URL: N/A

Research interests:

Due to my background in hydrological sciences, I am also involved in studies on the impact of climate change on agriculture, and looking at climate change and human pressure impacts on water resources in river basins worldwide. I have a keen interest in innovative numerical methods based on machine-learning techniques to explore large observational datasets.

Career history:

School of GeoSciences, University of Edinburgh, UK:
since 01/14 NCEO Core Scientist

Climate Change Research Centre, University of New South Wales, Australia
07/11 to 12/13 – Post-Doctoral Research Fellow

Institut für Landschaftsökologie und Ressourcenmanagement, Justus-Liebig-Universität Giessen, Germany:
07/08 to 07/11 – Ph.D. candidate and Research Associate

Active research projects:

I use models and observations to understand the terrestrial carbon cycle through model-data fusion, benchmarking and skilled-based multi-model averaging. My aim is to better quantify modern land-atmosphere carbon fluxes and the evolution of biomass stocks to identify likely terrestrial sources and sinks of atmospheric carbon dioxide. This knowledge can inform the development of robust projections of the land surface potential to be used to mitigate climate change.

Recent publications:

López-Blanco E, Exbrayat J-F, Lund M, Christensen TR, Tamstorf MP, Slevin D, Hugelius G, Bloom AA, Williams M (2018) Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system. Earth System Dynamics Discussion under review. https://doi.org/10.5194/esd-2018-19
Moore CE, Beringer J, Donohue RJ, Evans B, Exbrayat J-F, Hutley LB, Tapper NJ (2018) Seasonal, inter-annual and decadal drivers of tree and grass productivity in an Australian tropical savanna. Global Change Biology 24:2530-2544. https://doi.org/10.1111/gcb.14072
Exbrayat J-F, Bloom AA, Falloon P, Ito A, Smallman TL, Williams M (2018) Reliability Ensemble Averaging of 21st century projections of terrestrial net primary productivity reduces global and regional uncertainties. Earth System Dynamics 9:153-165. https://doi.org/10.5194/esd-9-153-2018