3 papers
q-bio.QM2025
Estimating carbon pools in the European Shelf sea environment: replacing reanalysis by model-informed machine learning?
Jozef Skakala
Shelf seas are important for the economy and the carbon cycle, but shelf sea observations for carbon pools are often sparse, or highly uncertain. An alternative can be provided by…
q-bio.QM2025
Assimilation of machine learning-predicted nitrate to improve the quality of phytoplankton forecasting in the shelf sea environment
Deep S Banerjee, Jozef Skakala, David Ford
We demonstrate that assimilating Neural Network (NN)-predicted surface nitrate leads to a major improvement in phytoplankton short-range (1-5 day) dynamical model forecasts for the…
q-bio.PE2020
Low complexity model to study scale dependence of phytoplankton dynamics in the tropical Pacific
Jozef Skakala, Paolo Lazzari
We demonstrate that a simple model based on reaction-diffusion-advection (RDA) equation forced by realistic surface velocities and nutrients is skilled in reproducing the distribut…