Dr. Nehrkorn's 30 year research tenure at AER has included work
on numerical weather prediction models, data assimilation systems, humidity to cloud relationships, three dimensional analysis of atmospheric quantities and studies of the angular momentum budget of the atmosphere.
Not exact matches
Although meteorologists now rely heavily
on computer
models (
numerical weather prediction), it is still relatively common to use techniques and conceptual
models that were developed before computers were powerful enough to make
predictions accurately or efficiently.
Apart from ground stations,
weather forecasts are heavily dependent
on weather satellites for information to start or «initialize» the
numerical weather prediction models that are the foundation of modern
weather prediction.
Many
numerical weather prediction centers now use coupled ocean - atmosphere
models to produce ensemble forecasts
on the subseasonal time scale.
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.
Their
prediction is based
on the quantity of incoming solar radiation and uses 16 - day forecasts from a
numerical weather prediction model (WRF).
When we talk about regional
modeling or regional
numerical weather prediction we are really doing the same thing except that we are focusing
on more and more detail for the region where you are located.
An assessment of the SST influence
on surface wind stress in
numerical weather prediction and climate
models
ESMs have long been based
on integrating their dynamical equations numerically (e.g.,
numerical weather prediction models used by
Weather Services).