3 papers
physics.ao-ph2026
Evaluating Explainable AI Methods for Geoscientific Regression: Insights from Applications and the Lorenz-63 System
Ieuan Higgs, Todd Jones, Kieran Hunt +1
As artificial intelligence (AI) systems transition from research prototypes to operational tools in Earth system science and forecasting, establishing trust in their predictions be…
q-bio.QM2026
Deep learning model emulators for marine biogeochemistry forecasting from days to decades
Jozef Skakala, Ieuan Higgs, David Moffat
Deep-learning emulators have emerged as a promising approach for reducing the computational cost of Earth System Models while potentially improving forecasting skill. Here, we demo…
physics.ao-ph2025
Hybrid machine learning data assimilation for marine biogeochemistry
Ieuan Higgs, Ross Bannister, Jozef Skákala +3
Marine biogeochemistry models are critical for forecasting, as well as estimating ecosystem responses to climate change and human activities. Data assimilation (DA) improves these…