Ryan Eusebi
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View article: Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning
Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning Open
Forecasting rapid intensification (RI) of tropical cyclones (TC) is a mission known for large errors. One under-researched factor that affects TC intensification is salinity, which is important for density stratification in certain ocean r…
View article: Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learning
Realistic tropical cyclone wind and pressure fields can be reconstructed from sparse data using deep learning Open
Tropical cyclones are responsible for large-scale loss of life and property 1–4 , motivating accurate risk assessment and forecasting. These objectives require accurate reconstructions of storms’ wind and pressure fields which assimilate r…
View article: Physics-Informed Neural Networks for Hurricane Reconstruction and Data Assimilation
Physics-Informed Neural Networks for Hurricane Reconstruction and Data Assimilation Open
Tropical cyclones (TCs) are responsible for large-scale loss of life and property, and billions of dollars worth of damage annually. Forecasting is typically accomplished through the use of dynamical models which directly integrate the gov…