Insights into Atmospheric Predictability through Global Convection-Permitting Model Simulations

Nonhydrostatic icosahedral atmospheric model (NICAM) for global cloud resolving simulations

A new type of ultra-high resolution atmospheric global circulation model is developed. The new model is designed to perform ‘‘cloud resolving simulations’’ by directly calculating deep convection and meso-scale circulations, which play key roles not only in the tropical circulations but in the global circulations of the atmosphere. Since cores of deep convection have a few km in horizontal size...

GEWEX Convection-Permitting Climate Modeling Workshop

ACCElERAtINg PROgRESS IN glOBAl AtMOSPhERIC MODEl DEVElOPMENt thROUgh IMPROVED PARAMEtERIzAtIONS

G lobal models are used in many applications, ranging from Numerical Weather Prediction (NWP) to seasonal prediction and climate simulation. Despite great computational advances, calculations using these models can still only afford grid spacing for which many of the important processes occurring in the atmosphere—most notably boundary layer processes as well as moist convection and cloud proce...

Atmospheric predictability revisited

This article examines the potential to improve numerical weather prediction (NWP) by estimating upper and lower bounds on predictability by re-visiting the original study of Lorenz (1982) but applied to the most recent version of the European Centre for Medium Range Weather Forecasts (ECMWF) forecast system, for both the deterministic and ensemble prediction systems (EPS). These bounds are cont...

Convection Simulations

The abrupt transition from convective to radiative energy transport at the surface of many stars holds the key to much of the stars internal structure. Given suuciently detailed information about such properties as the equation of state and opacities, ab initio models of these layers may be constructed by solving the coupled, three-dimensional gas dynamics and radiative transfer equations. The ...