My name is Julien Chimot (1985). I am a PhD atmospheric remote sensing scientist with special interests in air quality and climate observations from space-borne sensors. I have 10 years of experiences in processing, interpretation and quality assessment of satellite instrument data primarily dedicated to our atmospheric composition (trace gas, aerosol, cloud), and secondary to land / ocean surfaces (atmospheric corrected reflectance, albedo, fire, vegetation). 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.
I received my Master degree specialized in Atmosphere, Ocean, and Environment monitoring in 2008 from the Paul Sabatier University in Toulouse, France. From 2008 to 2013, 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 was based 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 and was rewarded by a PhD degree in September 2018.
Since early 2018, I work at the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), located in Germany. In collaboration with EUMETSAT, worldwide scientists and engineers, the Copernicus Atmosphere and Marine Environment Monitoring Services (CAMS, CEMS), and the European Space Agency (ESA), I lead the scientific developments and validation of Near-Real Time (NRT) processing of the Copernicus Sentinel-3 observations for atmospheric objectives. That includes atmospheric composition product retrieval (e.g. aerosols, H2O, clouds), active fire detection & radiative power estimation, atmospheric correction for ocean colour applications, and cloud masking.
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 16 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 (January 2019) is also available here