作者: D. B. A. Jones , K. W. Bowman , J. A. Logan , C. L. Heald , J. Liu
关键词: Biomass burning 、 Satellite 、 Systematic error 、 Climatology 、 Tropospheric Emission Spectrometer 、 Chemical transport model 、 MOPITT
摘要: Abstract. We conduct an inverse modeling analysis of measurements atmospheric CO from the TES and MOPITT satellite instruments using GEOS-Chem global chemical transport model to quantify emissions in tropics November 2004. also assess consistency information provided by on surface CO. focus 2004, during biomass burning season, because observations O3 reveal significantly greater abundances these gases than simulated that period. find both datasets suggest substantially sub-equatorial Africa Indonesian/Australian region climatological model. The a posteriori based data were 173 Tg CO/yr 184 CO/yr, respectively, compared priori 95 CO/yr. In region, inferred 155 185 whereas was 69 differences between emission estimates obtained two are generally less 20%. improve distribution CO, however, large regional residuals remain, likely due systematic errors analysis. Reducing improving accuracy top-down will require better characterization (chemistry transport).