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Field
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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on the numerical modeling results. Physical Oceanography, 27(4), 352–363. https://doi.org/10.22449/1573-160X-2020-4-352-363 Sokolov, A., Chubarenko, B., 2024. Baltic Sea wave climate in 1979–2018: Numerical
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-chemistry data input into a global chemistry-climate model. Research Objectives: Measure the processing of HCl on aluminum-containing particles Measure the ability of these particles to freeze H2SO4/HNO3/H2O
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Centre National de la Recherche Scientifique (CNRS) | Saint Aubin Routot, Haute Normandie | France | 1 day ago
inverse modelling in geosciences. (https://www.ipsl.fr/ ) Task description for your Individual Research Project (IRP) Problem Definition: In order to account for the chemistry occurring in the rocket plume
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radiation. PMOD is traditionally widely involved in all communities focused on chemistry-climate modelling, monitoring of ozone and atmospheric radiation, and solar physics. (https://www.pmodwrc.ch/ ) Task
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. Morin X. et al. (2021). Beyond forest succession: A gap model to study ecosystem functioning and tree community composition under climate change. Functional Ecology, 35(4), 955-975. Postic T. et al. (2025
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observations of ice initiation from solid aerosol material, informing the design of microphysical schemes of models of clouds and climate at Lund. A new climate model is being developed to represent cloud
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comfort throughout the year in a Nordic climate? Is it possible to predict dynamic outdoor thermal comfort with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead
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technologies Use of multi-fidelity aggregation techniques and adaptive refinement strategies (to reduce the uncertainties of the climate models) Uncertainty quantification and propagation up to the global
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for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected Results: Ability to assess the influence of demise process on the release of emissions