2 citations · 2 across the 3 of their papers we have counts for
4 papers
A Study on Monthly Marine Heatwave Forecasts in New Zealand: An Investigation of Imbalanced Regression Loss Functions with Neural Network Models
Ding Ning, Varvara Vetrova, Sébastien Delaux +3
Marine heatwaves (MHWs) are extreme ocean-temperature events with significant impacts on marine ecosystems and related industries. Accurate forecasts (one to six months ahead) of M…
Diving Deep: Forecasting Sea Surface Temperatures and Anomalies
Ding Ning, Varvara Vetrova, Karin R. Bryan +4
This overview paper details the findings from the Diving Deep: Forecasting Sea Surface Temperatures and Anomalies Challenge at the European Conference on Machine Learning and Princ…
Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach
Ding Ning, Varvara Vetrova, Yun Sing Koh +1
Marine heatwaves (MHWs), an extreme climate phenomenon, pose significant challenges to marine ecosystems and industries, with their frequency and intensity increasing due to climat…
Graph-Based Deep Learning for Sea Surface Temperature Forecasts
Ding Ning, Varvara Vetrova, Karin R. Bryan
Sea surface temperature (SST) forecasts help with managing the marine ecosystem and the aquaculture impacted by anthropogenic climate change. Numerical dynamical models are resourc…