Fine-scale currents, O (1–100 km, days–months), are actively involved in the transport and
transformation of biogeochemical tracers in the ocean. However, their overall impact on …

With the availability of petabytes of oceanographic observations and numerical model
simulations, artificial intelligence (AI) tools are being increasingly leveraged in a variety of …

Oceanographic observations are limited by sampling rates, while ocean models are limited
by finite resolution and high viscosity and diffusion coefficients. Therefore, both data from …

DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep
learning in the field of earth sciences, from four leading voices Deep learning is a …

Coupled climate simulations that span several hundred years cannot be run at a high‐
enough spatial resolution to resolve mesoscale ocean dynamics. Recently, several studies …

We address the question of how to use a machine learned (ML) parameterization in a
general circulation model (GCM), and assess its performance both computationally and …

Sea levels of different atmosphere–ocean general circulation models (AOGCMs) respond to
climate change forcing in different ways, representing a crucial uncertainty in climate change …

Twenty‐five years ago the first operational, ensemble forecasts were issued by the
European Centre for Medium‐Range Weather Forecasts and the National Centers for …

Integrated hydrologic models solve coupled mathematical equations that represent natural
processes, including groundwater, unsaturated, and overland flow. However, these models …

A major challenge for managing impacts and implementing effective mitigation measures
and adaptation strategies for coastal zones affected by future sea level (SL) rise is our …