Evaluating the Model Representation of Asian Summer Monsoon Upper Troposphere and Lower Stratosphere Transport and Composition Using Airborne In Situ Observations

Author:

Smith Warren P.1ORCID,Pan Laura L.1ORCID,Kinnison Douglas1ORCID,Atlas Elliot2ORCID,Honomichl Shawn1ORCID,Zhang Jun1ORCID,Tilmes Simone1ORCID,Fernandez Rafael P.3ORCID,Saiz‐Lopez Alfonso4ORCID,Treadaway Victoria56,Adcock Karina E.7ORCID,Laube Johannes C.8ORCID,von Hobe Marc8ORCID,Kloss Corinna8,Viciani Silvia9ORCID,D’Amato Francesco9ORCID,Volk C. Michael10,Ravegnani Fabrizio11ORCID

Affiliation:

1. Atmospheric Chemistry Observations & Modeling Laboratory NSF National Center for Atmospheric Research Boulder CO USA

2. Department of Atmospheric Sciences Rosenstiel School of Marine, Atmospheric, and Earth Science University of Miami Miami FL USA

3. Institute for Interdisciplinary Science (ICB) National Research Council (CONICET) Mendoza Argentina

4. Department of Atmospheric Chemistry and Climate Institute of Physical Chemistry Blas Cabrera CSIC Madrid Spain

5. Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder Boulder CO USA

6. NOAA Chemical Sciences Laboratory Boulder CO USA

7. Centre for Ocean and Atmospheric Sciences School of Environmental Sciences University of East Anglia Norwich UK

8. Institute for Energy and Climate Research (IEK‐7) Forschungszentrum Jülich GmbH Jülich Germany

9. National Research Council ‐ National Institute of Optics (CNR‐INO) Sesto Fiorentino Italy

10. University of Wuppertal Wupperta Germany

11. National Research Council ‐ Institute of Atmospheric Sciences and Climate (CNR‐ISAC) Bologna Italy

Abstract

AbstractChemistry Climate Models (CCMs) are essential tools for characterizing and predicting the role of atmospheric composition and chemistry in Earth's climate system. This study demonstrates the use of airborne in situ observations to diagnose the representation of chemical composition and transport by CCMs. Process‐based diagnostics using dynamical and chemical coordinates are presented which minimize the spatial and temporal sampling differences between airborne in situ measurements and CCM grid points. The chosen process is the chemical impact of the Asian summer monsoon (ASM), where deep convection serves as a rapid transport pathway for surface emissions to reach the upper troposphere and lower stratosphere (UTLS). We examine two CCM configurations for their representation of the ASM UTLS using a set of airborne observations from south Asia. The diagnostics reveal good model performance at representing tropospheric tracer distribution throughout the troposphere and lower stratosphere, and excellent representation of chemical aging in the lower stratosphere when chemical loss is dominated by photolysis. Identified model limitations include the use of zonally averaged mole fraction boundary conditions for species with sufficiently short tropospheric lifetimes, which may obscure enhanced regional emissions sources. Overall, the diagnostics underscore the skill of current‐generation models at representing pollution transport from the boundary layer to the stratosphere via the ASM mechanism, and demonstrate the strength of airborne in situ observations toward characterizing this representation.

Funder

National Science Foundation

Publisher

American Geophysical Union (AGU)

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