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Data assimilation is a method of correcting or forcing an iterative model with physical observations to improve the accuracy of the output.
We use a Kalman filter to assimilate the satellite data into GEOS-Chem The Kalman Filter
Background and Mo6va6on Objec6ve The Asian Monsoon is a phenomena which affects many weather patterns in the northern hemisphere.
Most atmospheric models fail to capture the O3
minimum and CO maximum in the upper troposphere characteristic of the Monsoon Region. (see Figure 1)
Figure 1 MLS O3/CO Average in Stratospheric Monsoon Region for (Jul-Aug) 2005 [1]
This is caused by convective transport from the lower troposphere where CO is abundant. This convective flow is fast enough that there is not significant O3 production.
TES data has been assimilated into the model in an attempt to recreate this ozone minimum. The output of this assimilation still failed to capture the ozone minimum expected (see Figure 2)
What is Data Assimila6on?
Figure 5 GEOS-Chem O3 Assimilation at 15.2 km with IASI Data
Preliminary Results
Conclusions Assimilating IASI data into GEOS-Chem model provides a relatively improved representation of the O3 minimum This result may not be representative of the physical processes which actually cause this minimum. Further investigation into what aspects of the model are limiting it’s ability to model upper tropospheric O3 must be conducted.
We decided to use the IASI retrieval data set because of it’s superior data density. (see Figure 3) To do this the code used to assimilate TES data was modified to account for
• IASI retrievals done in altitude while TES was done in pressure levels
• TES profiles had to be passed through a logarithmic transform IASI’s did not
• Much larger file sizes in the IASI profiles (optimized input subroutine)
After assimilating the model over a five day period with data from August 15th to the 20th in 2008 the plot in Figure 5 was generated. Compared to Figure 2 the IASI assimilation was much more successful at raising ozone levels globally with the exception of the Asian Monsoon region. The results are a relatively good representation of the observations in Figure 1. Figure 4 shows the GEOS-Chem simulation on the same time scale as Figure 5 but with no data used for assimilation.
Figure 4 GEOS-CHEM O3 Simulation at 15.2 km with no Data Assimilation
It is clear that the assimilation raised O3 throughout the tropics but this may not have occurred for physically plausible reasons.
Preliminary Results
Figure 2a GEOS-Chem O3 Assimilation at 14.2 km with TES Data
[1,2]Ryan Ples.d, [2]Dylan Jones, [3]Maya George, [3]Cathy Clerbaux
1‐University of Guelph, Department of Physics 2‐University of Toronto, Department of Physics 3‐UPMC, LATMOS, Paris, France
Examining GEOS‐CHEM’s Biases Through Data Assimila6on
x̂a = x f +K[xobs ! H (x f )]K = P fHT(HP fHT + R)!1
Pa = (I -KH)P f
Methods
Determine if data assimilation can correct GEOS-Chem Ozone simulation in the Asian Monsoon Region
Figure 3b IASI Satellite’s Single Day Coverage August 15th 2008
References [1] Park, M., W. J. Randel, A. GeVelman, S. T. Massie, and J. H. Jiang (2007), Transport above the Asian summer monsoon an.cyclone inferred from Aura Microwave Limb Sounder tracers, J. Geophys. Res., 112, D16309, doi:10.1029/2006JD008294. [2] Randel, W. J., and M. Park (2006), Deep convec.ve influence on the Asian summer monsoon an.cyclone and associated tracer variability observed with Atmospheric Infrared Sounder (AIRS), J. Geophys. Res., 111, D12314, doi:10.1029/2005JD006490.
Acknowledgements Ellen Dyer, The CGCS, Gregory Wu, Thomas Walker, Dylan Jones, Daniel Backx, and Kevin Olsen
Figure 2b GEOS-Chem O3 Difference (assimilation minus without assimilation)
Tropospheric Emission Spectrometer (TES) assimila6on in GEOS‐Chem
Infrared Atmospheric Sounding Interferometer (IASI) Coverage
TES Daily Observa6onal Coverage
Figure 3a TES Single Day Coverage September 16th 2006
Figure 3 IASI Satellite’s Single Day Coverage September 16th 2008
Figure 3 IASI Satellite’s Single Day Coverage September 16th 2008
GEOS‐Chem O3 at 15 km at 0 GMT on 24 Aug 2008
GEOS‐Chem O3 at 15 km at 0 GMT on 24 Aug 2008