Clouds are the primary source of uncertainty in the prediction of climate change. To reduce
the uncertainty of cloud simulations and overcome this difficulty in prediction, many climate …

This short review shows how innovative processing units—including graphical processing
units (GPUs)—are used in high-performance computing (HPC) in meteorology, introduces …

The use of single precision in floating-point representation has become increasingly
common in operational weather prediction. Meanwhile, climate simulations are still typically …

Numerical weather prediction (NWP) supports our daily lives. Weather models require
higher spatiotemporal resolutions to prepare for extreme weather disasters and reduce the …

Even to this date, most earth system models are coded in Fortran, especially those used at
the largest compute scales. Our ocean model Veros takes a different approach: it is …

Most Earth‐system simulations run on conventional central processing units in 64‐bit double
precision floating‐point numbers Float64, although the need for high‐precision calculations …

Reduced‐precision floating‐point arithmetic is now deployed routinely in numerical weather
forecasting over short timescales. However, the applicability of these reduced‐precision …

SpeedyWeather. jl is a library to simulate and analyze the global atmospheric circulation on
the sphere. It implements several 2D and 3D models which solve different sets of equations:• …

Non-periodic solutions are an essential property of chaotic dynamical systems. Simulations
with deterministic finite-precision numbers, however, always yield orbits that are eventually …

Scale-Selective Precision for Weather and Climate Forecasting in: Monthly Weather Review
Volume 147 Issue 2 (2019) Jump to Content Jump to Main Navigation Logo Logo Logo Logo …