Large Scale Data Assimilation Based On RRSQRT-filters; Application On Atmospheric Chemistry Models
Price
Free (open access)
Transaction
Volume
28
Pages
11
Published
1998
Size
856 kb
Paper DOI
10.2495/AIR980031
Copyright
WIT Press
Author(s)
A.J. Segers, A.W. Heemink, M. Verlaan & M. van Loon
Abstract
Concentration patterns of air pollutants are usually obtained from either measured concentrations, or from concentrations calculated with an atmospheric model. With the increase of available computing power, one is now able to combine the benefits of both with the aid of data assimilation techniques. The aim of data assimilation is to improve model predictions through incorporation of all available measurement data. A special formulation of the Kalman filter, the so-called RRSQRT-filter, has proven to be an efficient tool for assimilation of data in atmosph
Keywords