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EOS AURA Science Meeting 14-17 September 2009 Leiden, The Netherlands. AUTHORS J. H. Kim, S. M. Kim, and M. J. Newchurch. Abstract.
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EOS AURA Science Meeting 14-17 September 2009Leiden, The Netherlands AUTHORS J. H. Kim, S. M. Kim, and M. J. Newchurch
Abstract By comparing temporal and spatial patterns of formaldehyde (HCHO) along with our understanding of atmospheric chemistry, we propose to assess the impact of global temperature changes on the biosphere using satellite observations (OMI, GOME, SCIMACHY, MOPITT, ATSR) of trace gases (HCHO, CO, NO2, O3) and fire counts along with model calculations. We have observed an increasing trend of HCHO over the tropics, where the trend of biomass burning varies with regions, and over the USA, where some anthropogenic activity appears to be decreasing as deduced from NO2 changes. The inventory of HCHO depends strongly on isoprene from biogenic activity and on the background level of CH4 oxidation. Various models suggest surface temperature is responsible for the increasing HCHO over the USA. We propose to use novel EOF/SVD analyses techniques to investigate whether the increasing trend of HCHO can be used to identify and estimate the impact of global temperature changes on HCHO.
Figure 1. The spatial pattern (heterogeneous correlation map of the first SVD mode for (a) MOPITT CO, (b) SAM tropospheric ozone, and (c) expansion coefficient time series of two variables. Dotted region represents the area significant at the 95% confidence level.
Table 1. Square Covariance Fraction of the Total Covariance and Coupling Correlation Coefficient Between the Expansion Coefficients of Scan Angle Method Tropospheric Ozone and MOPITT CO, and between Convective-Cloud-Differential Tropospheric Ozone and MCO Corresponding to the Two Leading Singular Value Decomposition Modes.
Figure 2. The spatial pattern (heterogeneous correlation map of the first SVD mode for (a) MOPITT CO, (b) CCD tropospheric ozone, and (c) expansion coefficient time series of two variables. Dotted region represents the area significant at the 95% confidence level.
Figure 3. The spatial pattern (heterogeneous correlation map of the first SVD mode for (a) GOME NO2, (b) SAM tropospheric ozone, and (c) expansion coefficient time series of two variables. Dotted region represents the area significant at the 95% confidence levels.
Table 2. Square Covariance Fraction and Coupling Correlation Coefficient Between the Expansion Coefficients of SAMTO and GOMENO2 and Between CCDTO and GOMENO2 Corresponding to the Two Leading SVD Modes.
Figure 4. Monthly mean (left) GOME HCHO slant columns and (right) GOME NO2 vertical columns. Active burning, detected by the ATSR instrument, is shown by grey diamonds. Biomass burning is a major contributor to HCHO columns in the tropics [Barkley, et al., 2008].
Figure 5. EOF mode 1 of GOME, SCIAMACHY, and OMI HCHO and MOPITT CO. The left and right columns are the spatial pattern and time series, respectively.
Figure 6. The spatial and temporal pattern of SVD mode 1 between MOPITT CO and SCIAMACHY HCHO.
Figure 7. The spatial and temporal pattern of the SVD mode 1 between CO and OMI HCHO.
Table 3. Trend in %/year over four equatorial regions from GOME, SCIMACHY, and OMI HCHO measurements.
