This is what makes paleoreconstructions possible, and what makes it possible to initialize
global numerical weather prediction models with so few observations.)
Mikhail Tolstykh is an expert for
global numerical weather prediction models to develop medium - range and seasonal forecasts.
Not exact matches
Specializing in the parameterization of land - atmosphere exchange for use in
Global Climate, Regional Mesoscale, and Local Cloud - Resolving
numerical weather prediction models.
-- Pete Wetzel, Ph. D., Research Meteorologist at NASA Goddard Space Flight Center, specializing in parameterizing the interactions between the land surface and the atmosphere for
Global Climate, Regional Mesoscale, and local Cloud - resolving
numerical weather prediction models.
Type 2 dynamic downscaling refers to regional
weather (or climate) simulations in which the regional
model's initial atmospheric conditions are forgotten (i.e., the
predictions do not depend on the specific initial conditions), but results still depend on the lateral boundary conditions from a
global numerical weather prediction where initial observed atmospheric conditions are not yet forgotten, or are from a
global reanalysis.
«Radiation calculations in
global numerical weather prediction (NWP) and climate
models are usually performed in 3 - hourly time intervals in order to reduce the computational cost.
We can perhaps learn from
numerical weather prediction where the benefits of developing
global prediction models with high vertical and horizontal resolution are clear cut (confirmed most recently by
predictions of Sandy).
JIGSAW (GEO) is a set of algorithms designed to generate complex, variable resolution unstructured meshes for geophysical
modelling applications, including:
global ocean and atmospheric simulation,
numerical weather prediction, coastal ocean
modelling and ice - sheet dynamics.