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Regionally Resolved Diagnostic of Transport: A Simplified Forward Model for CO2.

Authors :
Konopka, Paul
Ploeger, Felix
Tao, Mengchu
Riese, Martin
Source :
Journal of the Atmospheric Sciences. Aug2017, Vol. 74 Issue 8, p2689-2700. 12p.
Publication Year :
2017

Abstract

Simply diagnostic tools are useful for understanding transport processes in complex chemistry transport models (CTMs). For this purpose, a combined use of the airmass origin fractions (AOFs) and regionally resolved mean ages (RMAs) is presented. This approach merges the concept of the origin of air with the well-known theory of the mean age of air (AoA) for different regions covering the whole Earth. The authors show how the AoA calculated relative to Earth's surface can be decomposed into regionally resolved components (i.e., into RMAs). Using both AOFs and RMAs, the authors discuss differences in the seasonality of transport from the Northern and Southern Hemispheres into the tropical tropopause layer (TTL), the asymmetries of the interhemispheric exchange, and differences in relation to the continental or oceanic origin of air. Furthermore, a simplified transport model for a chemically passive species (tracer) is formulated that has some potential to approximate the full transport within a CTM. This analytic approach uses the AOFs as well as the RMAs as parameters to propagate a tracer prescribed on Earth's surface (lower boundary condition). This method is exactly valid for sources that change linearly with time in each of the considered regions. The authors analyze how well this approach approximates the propagation of CO2 from the planetary boundary layer (PBL) into the whole atmosphere. The CO2 values in the PBL are specified by the CarbonTracker dataset. The authors discuss how this approach can be used for inverse modeling of CO2. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00224928
Volume :
74
Issue :
8
Database :
Academic Search Index
Journal :
Journal of the Atmospheric Sciences
Publication Type :
Academic Journal
Accession number :
126891197
Full Text :
https://doi.org/10.1175/JAS-D-16-0367.1