mpe20

Stochastic Modeling for Weather and Climate Prediction

Stochastic parametrizations have the potential to transform climate modeling just as with weather prediction.

Machine Learning for the Global Forecast

At MPE20, Dale Durran discussed how machine learning can be applied to predicting large-scale atmospheric...

Dmitry Nicolsky investigated the impact of heat flux and water level on permafrost thawing at MPE20.

At MPE20, Stephanie Dodson used agent-based models to better understand migration patterns in Northern Pacific blue whales.

Sofya Zaytseva explored the mathematics of pattern formation in intertidal oyster reefs during an MPE20 virtual...

At MPE20, Shilpa Khatri used computational simulations in the context of fluid flow to explore the benefits of coral...

Kyle Gwirtz presents a reduced-order model of the geodynamo that assesses data assimilation systems for geomagnetic forecasting at MPE20.

The desire to understand and predict sea ice raises the question of whether more complex models can address the many...

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