Title: Adaptive mesh method in the Met Office variational data assimilation system

Authors: Chiara Piccolo (Met Office, UK)
Mike Cullen (Met Office, UK)

A frequent problem in forecasting fog or icy roads in a numerical weather prediction system is attributed to the misinterpretation of the boundary layer structure in the assimilation procedure. Case studies showed that much of the misinterpretation of temperature inversions and stratocumulus layers in the assimilation is due to inappropriate background error covariances. This paper looks at the application of adaptive mesh methods in the Met Office variational assimilation system to modify the background error correlations in the boundary layer when temperature inversions or stratocumulus layers are present in the background state. Results show improvements in the analysis root mean square errors with respect to radiosonde observations and surface observations and improvements in forecast errors in two metre temperature in the presence of low clouds. This enhancement in two metre temperature forecast is attributed to reduced background vertical correlations and increased temperature background error variances in the assimilation due to the movement of the grid near the surface. Impacts above surface will be also discussed.

GMAO Head: Michele Rienecker Global Modeling and Assimilation Office NASA Goddard Space Flight Center

Curator: Nikki Privé Last Updated: May 27 2011