My name is Julien Chimot (1985). I am a PhD atmospheric remote sensing scientist with 11 years of experiences in Earth atmospheric composition (aerosol, trace gas, cloud) satellite observations for air quality, climate and surface purposes. My scientific skills cover advanced knowledge of multi and hyper-spectral measurements from passive remote sensors, use of radiative transfer modelling from the visible to the thermal infrared spectral domain, broad range of atmospheric retrieval techniques, (Optimal Estimation Methodology, Differential Optical Absorption Spectroscopy and machine learning), uncertainty estimation, scientific analyses, satellite product validation, and big data processing.
Based at the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), located in Germany, since 2018, I lead the scientific developments and validation of atmospheric operational processing (in Near Real Time or NRT) from the Copernicus Sentinel-3 mission. This covers aerosol, cloud, fire, and H2O retrievals, atmospheric correction for ocean colour applications, and dedicated cloud – clear-sky – other obstruction detection. This work is achieved in collaboration with EUMETSAT, worldwide scientists and engineers, the Copernicus Atmosphere and Marine Environment Monitoring Services (CAMS, CEMS), and the European Space Agency (ESA),
After receiving my Master degree specialized in Atmosphere, Ocean, and Environment monitoring in 2008 from the Paul Sabatier University in Toulouse, France, I started my career as R&D engineer and project manager for the French NOVELTIS company, I was involved in projects fund by French and European space agencies (e.g. CNES, ESA, EUMETSAT) related to atmospheric infrared satellite missions (MetOp IASI, MTG IRS, GOSAT Tanso, Sentinel-5-UVNS, MicroCarb and CarbonSat), with a focus on greenhouse gas (e.g. CO2, CH4) and temperature retrievals. I also covered altimeter, and ocean colour topics. From 2013 to 2018, I worked at the Delft University of Technology, in the Netherlands, and strongly collaborated with the Royal Netherlands Meteorological Institute (KNMI). As research fellow, I developed a novel machine learning algorithm for determining the height of atmospheric aerosols from the Dutch-Finnish OMI sensor, on-board the NASA Aura platform, based on measurements in the visible spectral range. I also contributed to improve the aerosol correction in the operational OMI tropospheric NO2 (a key gas in air quality) retrieval chain. This research lead to 4 key peer-reviewed publications, as 1st author, in the Atmospheric Measurement Techniques (AMT) journal, 2 additional peer-reviewed papers as co-author, and was rewarded by a PhD degree in September 2018.
In my career, I have (co-)authored 8 publications in international and peer-reviewed scientific journals, 3 European final project reports, 1 PhD research book, and several technical reports. I have given 17 oral and poster presentations at international conferences and final European project meetings. I also submitted project proposals to French & European space agencies, and the Dutch research funding agency. Through my multiple responsibilities in the context of Small and Medium Enterprise, academy / research institute and international space agency, I acquired a wide range of competences between Earth Observation research achievement, project management, oral communication, writing, collaboration with scientific partners, student teaching and supervision, autonomy and successful team work as well.
A detailed CV (August 2019) is also available here