{"id":1174,"date":"2022-08-18T19:51:36","date_gmt":"2022-08-18T17:51:36","guid":{"rendered":"https:\/\/wp.unil.ch\/gaia\/?page_id=1174"},"modified":"2023-11-13T13:06:08","modified_gmt":"2023-11-13T12:06:08","slug":"loic-gerber","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/gaia\/team\/loic-gerber\/","title":{"rendered":"Lo\u00efc Gerber"},"content":{"rendered":"\n

Research interests<\/strong><\/h2>\n\n\n\n
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Lo\u00efc Gerber is developing new approaches to generate synthetic data consistent with reanalysis datasets and is engaged in a comprehensive exploration of hydrological processes in the Volta River Basin in West Africa. His academic journey includes a focus on extreme rainfall events during his undergraduate studies and a specialization in urban hydrological modelling for extreme events during his postgraduate program.<\/p>\n<\/div>\n\n\n\n

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Given the scarcity of remotely-sensed data, especially pre-2000 in the region, Lo\u00efc’s research aims to overcome this limitation by generating synthetic satellite images spanning from 1950 to the present day. This endeavor utilizes existing catalogues to enhance data availability and contributes valuable insights to long-term hydrological modelling.<\/p>\n\n\n\n

The derived synthetic products will be integrated into a fully distributed hydrological model, allowing the assessment of their validity. This methodological approach not only addresses data gaps but also promises to refine hydrological models, contributing to a more nuanced understanding of the evolving hydrological processes within the context of climate change.<\/p>\n\n\n\n

Key words<\/strong>: Hydro-climatic modelling, synthetic satellite imagery generation, spatial analysis, remote sensing, geostatistics<\/p>\n\n\n\n

Educational and work background<\/strong><\/h2>\n\n\n\n