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Data Assimilation & Prediction

NWP Cover ImageConcurrent advances in computing power, remote sensing of the atmosphere from satellites, and forecast models have led to considerable progress in numerical weather prediction (NWP), as a result extending the usefulness of weather forecasts to five or six days.

The research in numerical weather prediction at AER spans all scales, from single point, local data assimilation and forecasting to global modeling. It also spans "nowcasting" (up to six hours ahead) to the medium range (five day forecasts). The Numerical Weather Prediction Group's various projects can be grouped around three main avenues of research: variational methods, cloud forecasting and observing systems studies.

Variational methods are used to infer some characteristics of a system by measuring some other quantities in the system. They have become an important focus of research in NWP in the last few years and AER is one of a dozen NWP groups around the world actively involved in these methods. AER has made contributions in:

The cloud forecasting problem has been approached at AER with different techniques:

Observing system studies have been done mainly in the context of using satellite data in weather forecasting:

The DAP group works very closely with other groups at AER, especially the Remote Sensing group, since much of its work deals with the use of satellite data in NWP.

AER's DAP group also has close contacts with other national and international institutions such as the U.S. National Meteorological Center, the Goddard Space Flight Center and the European Centre for Medium-Range Forecasts. Current or recent sponsors of AER's NWP research are NASA, NSF, NOAA, DOE and the U.S. Air Force

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