Research
The topics I am working on:
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Theoretical data assimilation:
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Methodology in atmospheric chemistry data assimilation: representativeness errors, error estimation, hyperparameter selection.
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Regularisation of inverse problems by the maximum entropy on the mean principle. Applied information theory.
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Nonlinear/non-Gaussian data assimilation.
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Ensemble Kalman filtering, particle filtering.
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Ensemble variational methods.
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Multiscale, adaptive grid data assimilation.
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Machine learning applied to the geosciences, in particular combined with or in support of data assimilation.
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Inverse modelling of atmospheric tracer source. Applications to Chernobyl, Fukushima, emergency response.
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Data assimilation and inverse modelling in air quality. Applications to Carbon monoxide, volatile organic compounds, heavy metals, photochemistry.
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Monitoring network design for air pollution.
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Air quality numerical modelling (especially radionuclides dispersion).
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New applications of data assimilation: adaptive optics for extremely large telescopes, detection and attribution in climate.