Our results shown that linear regression are insufficient as emulators, whilst neural networks can learn and emulate the MPP in Icepack very reliably.

Jun 6, 2024 · In particular, we constructed MPPs based either on linear regression or on nonlinear neural networks, and investigate if they could substitute ...

Apr 11, 2023 · Our results shown that linear regression are insufficient as emulators, whilst neural networks can learn and emulate the MPP in Icepack very ...

Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks. https://doi.org/10.1016/j.jocs.2024.102231.

Jul 23, 2024 · Their parametrisation in sea-ice models are critical for a forecasting due to the change in albedo of the melt sea-ice over the ice shelf. He ...

Apr 9, 2024 · First of two papers out this month, "Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural ...

Neural networks demonstrate the ability to learn and predict output given by the level-ice melt pond parametrisation, and furthermore do not suffer from drift ...

Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks · Simon Driscoll · Alberto Carrassi · Julien Brajard ...

Thus creating a neural network emulator of melt ponds in sea ice. 4) Learning an observational/data-driven emulator to replace a physical parametrisation.

May 7, 2024 · Neural networks were able to learn offline a parametrisation and this was coupled to the Icepack model in place of the melt pond parametrisation ...