KEYWORDS: geostatistical analysis and modeling, stochastic hydroclimatology, remote sensing, image analysis
My research work regards the development and application of geostatistical analysis and modeling strategies for hydroclimatological and earth-surface processes, with a particular focus on multiple-point statistics (MPS). Integrating principles of geostatistics, data-mining, and image analysis, MPS allows simulating the output of complex processes, relying on data-pattern analysis. Ideal applications are processes exhibiting complex data structures, difficult to represent with classic statistical models. The MPS approach is highly creative and raises the challenge of finding the appropriate model structure by integrating multiple sources of information, benefiting from expert knowledge and last-generation data products.
After graduating in geosciences at the University of Milan, I specialized in stochastic hydroclimatology at the Center of Hydrogeology in Neuchâtel. I opened up a new methodological path for the stochastic simulation of climate variables based on Multiple-Point Statistics. After my PhD, I have collaborated with governmental and research institutions, including the Water Research Center (WRC, Sydney) and the Geological Survey of Denmark and Greenland (GEUS, Copenhagen). I am currently part of the GAIA Lab at the University of Lausanne and associate editor for Computers & Geosciences.
09/2016 Prix Guébhard-Séverine – University of Neuchâtel
04/2015 Early post-doc mobility fellowship – Swiss National Science Foundation
09/2013 IAMG Student travel grant – International Association for Mathematical Geosciences
10/2010 Erasmus student exchange scholarship – Education, Audiovisual and Culture Executive Agency, European Commission
University of Lausanne,
Institute of Earth Surface Dynamics (IDYST),
1015 Lausanne, Switzerland
fabio.oriani <at> unil.ch