Paper Info
Title
Improving GEOS-Chem Model Tropospheric Ozone through Assimilation of Pseudo Tropospheric Emission Spectrometer Profile Retrievals
Abstract
4D-variational or adjoint-based data assimilation provides a powerful means for integrating observations with models to estimate an optimal atmospheric state and to characterize the sensitivity of that state to the processes controlling it.In this paper we present the improvement of 2006 summer time distribution of global tropospheric ozone through assimilation of pseudo profile retrievals from the Tropospheric Emission Spectrometer (TES) into the GEOS-Chem global chemical transport model based on a recently-developed adjoint model of GEOS-Chem v7. We are the first to construct an adjoint of the linearized ozone parameterization (linoz) scheme that can be of very high importance in quantifying the amount of tropospheric ozone due to upper boundary exchanges. Tests conducted at various geographical levels show that the mismatch between adjoint values and their finite difference approximations could be up to 87% if linoz module adjoint is not used, leading to a divergence in the quasi-Newton approximation algorithm (L-BFGS) during data assimilation. We also present performance improvements in this adjoint model in terms of memory usage and speed. With the parallelization of each science process adjoint subroutine and sub-optimal combination of checkpoints and recalculations, the improved adjoint model is as efficient as the forward GEOS-Chem model.
Year
DOI
Venue
2009
10.1007/978-3-642-01973-9_34
ICCS (2)
Keywords
Field
DocType
adjoint model,adjoint-based data assimilation,pseudo tropospheric emission spectrometer,profile retrievals,geos-chem model,improved adjoint model,science process adjoint subroutine,linoz module adjoint,geos-chem global chemical transport,recently-developed adjoint model,adjoint value,geos-chem v7,improving geos-chem model tropospheric,inverse modeling,ozone,data assimilation,finite difference
Meteorology,Approximation algorithm,Tropospheric ozone,Mathematical optimization,Subroutine,Parametrization,Computer science,Finite difference,Tropospheric Emission Spectrometer,Data assimilation,Chemical transport model
Conference
Volume
ISSN
Citations 
5545
0302-9743
0
PageRank 
References 
Authors
0.34
4
6
Name
Order
Citations
PageRank
Kumaresh Singh162.28
Paul Eller221.07
Adrian Sandu332558.93
Kevin Bowman463.84
Dylan Jones500.34
Meemong Lee652.92