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Active learning for emulation of a cloud parcel model

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Active learning for emulation of cloud micro-physics

Active learning for emulation of an adiabatic cloud parcel model for aerosol-cloud interactions (Pyrcel). This implementation is based on Automatic Multi-Output Gaussian Process Emulator (AMOGAPE) using the predictive capacity of Gaussian Processes (GPs).

Requirements

Main requirements

  • Python >= 3.10
  • Autograd ...
  • AMOGAPE ...
  • Pyrcel ... ...

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Active learning for emulation of a cloud parcel model

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