This paper provides a primer on the mathematical, physical, and numerical foundations of ocean models that are formulated using finite volume generalized vertical coordinate equations and that use the vertical Lagrangian‐remap method to evolve the ocean state. We consider the mathematical structure of the governing ocean equations in both their…

We document the configuration and emergent simulation features from the Geophysical Fluid Dynamics Laboratory (GFDL) OM4.0 ocean/sea‐ice model. OM4 serves as the ocean/sea‐ice component for the GFDL climate and Earth system models. It is also used for climate science research and is contributing to the Coupled Model Intercomparison Project…

NOAA’s Hurricane Analysis and Forecast System (HAFS) is an evolving FV3-based hurricane modeling system that is expected to replace the operational hurricane models at the National Weather Service. Supported by the Hurricane Forecast Improvement Program (HFIP), global-nested and regional versions of HAFS were run in real time in 2019 to create…

2019 water-year mean streamflow into Chesapeake Bay from the Susquehanna River was the third high-est since 1891. Anthropogenic climate change has increased the probability of extreme Susquehanna River mean streamflows.

We live, it is said, in the age of “data science”. Machine learning (ML) from data astonishes us with its advances, such as autonomous vehicles and translation tools, and also worries us with its ability to monitor and interpret human faces, gestures and behaviors. In science, we are witnessing a new explosion of literature around machine…