The study group was headed by the noted American meteorologist Jule G. Charney, who played an important role in
developing numerical weather prediction and was Alfred P. Sloan Professor of Meteorology at the Massachusetts Institute of Technology.
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.
Mikhail Tolstykh is an expert for global
numerical weather prediction models to
develop medium - range and seasonal forecasts.
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).
ERA - Interim combines information from meteorological observations with background information from a forecast model, using the data assimilation approach
developed for
numerical weather prediction.
ESCAPE aims to
develop world - class, extreme - scale computing capabilities for European operational
numerical weather prediction (NWP) and future climate models.