If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Open Access The Role of Error Covariances in Estimation of Aerosol Number Concentrations

Download Article:

Abstract:

The evolution of error covariance and its impact in Kalman Filtering are examined. A synthetic aerosol size distribution and an associated error covariance matrix are used as an input for a tangent-linear box model simulating aerosol microphysics. The evolution of the error correlation structures are found to be robust with respect to changes in ambient vapor conditions and nucleation schemes. The near-diagonal error correlations evolve only modestly for particles larger than ∼20-30 nm, and the nucleation and condensation processes cause strong correlations between number density errors of small (below 10 nm) and large (above 100 nm) particles. The evolving error covariances significantly improve the estimation accuracy of the Kalman Filter in case of synthetic observations.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/02786821003730962

Affiliations: Finnish Meteorological Institute, Helsinki, Finland

Publication date: June 1, 2010

More about this publication?
Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more