Atmospheric three-dimensional inverse modeling of regional industrial emissions and global oceanic uptake of carbon tetrachloride

X. Xiao,R. Prinn,P. Fraser,R. Weiss,P. Simmonds,S. O'Doherty,Brian G. Miller,P. Salameh,C. Harth,P. Krummel,A. Golombek,L. Porter,J. Butler,J. Elkins,G. Dutton,B. Hall,L. Steele,R. Wang,D. Cunnold

Published 2010 in Atmospheric Chemistry and Physics

ABSTRACT

Carbon tetrachloride (CCl4) has substantial strato- spheric ozone depletion potential and its consumption is con- trolled under the Montreal Protocol and its amendments. We implement a Kalman filter using atmospheric CCl 4 measure- ments and a 3-dimensional chemical transport model to es- timate the interannual regional industrial emissions and sea- sonal global oceanic uptake of CCl4 for the period of 1996- 2004. The Model of Atmospheric Transport and Chemistry (MATCH), driven by offline National Center for Environ- mental Prediction (NCEP) reanalysis meteorological fields, is used to simulate CCl4 mole fractions and calculate their sensitivities to regional sources and sinks using a finite dif- ference approach. High frequency observations from the Advanced Global Atmospheric Gases Experiment (AGAGE) and the Earth System Research Laboratory (ESRL) of the National Oceanic and Atmospheric Administration (NOAA) and low frequency flask observations are together used to constrain the source and sink magnitudes, estimated as fac- tors that multiply the a priori fluxes. Although industry data imply that the global industrial emissions were substantially

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