Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Atmos. Chem. Phys., 17, 9451-9468, 2017
https://doi.org/10.5194/acp-17-9451-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
07 Aug 2017
An A-train and MERRA view of cloud, thermodynamic, and dynamic variability within the subtropical marine boundary layer
Brian H. Kahn1, Georgios Matheou1, Qing Yue1, Thomas Fauchez2, Eric J. Fetzer1, Matthew Lebsock1, João Martins3, Mathias M. Schreier1, Kentaroh Suzuki4, and João Teixeira1 1Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
2NASA Goddard Space Flight Center, Greenbelt, MD, USA
3Department of Meteorology and Geophysics, Instituto Português do Mar e da Atmosfera, Lisbon, Portugal
4Division of Climate System Research, Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan
Abstract. The global-scale patterns and covariances of subtropical marine boundary layer (MBL) cloud fraction and spatial variability with atmospheric thermodynamic and dynamic fields remain poorly understood. We describe an approach that leverages coincident NASA A-train and the Modern Era Retrospective-Analysis for Research and Applications (MERRA) data to quantify the relationships in the subtropical MBL derived at the native pixel and grid resolution. A new method for observing four subtropical oceanic regions that capture transitions from stratocumulus to trade cumulus is demonstrated, where stratocumulus and cumulus regimes are determined from infrared-based thermodynamic phase. Visible radiances are normally distributed within stratocumulus and are increasingly skewed away from the coast, where trade cumulus dominates. Increases in MBL depth, wind speed, and effective radius (re), and reductions in 700–1000 hPa moist static energy differences and 700 and 850 hPa vertical velocity correspond with increases in visible radiance skewness. We posit that a more robust representation of the cloudy MBL is obtained using visible radiance rather than retrievals of optical thickness that are limited to a smaller subset of cumulus. The method using the combined A-train and MERRA data set has demonstrated that an increase in re within shallow cumulus is strongly related to higher MBL wind speeds that further correspond to increased precipitation occurrence according to CloudSat, previously demonstrated with surface observations. Hence, the combined data sets have the potential of adding global context to process-level understanding of the MBL.

Citation: Kahn, B. H., Matheou, G., Yue, Q., Fauchez, T., Fetzer, E. J., Lebsock, M., Martins, J., Schreier, M. M., Suzuki, K., and Teixeira, J.: An A-train and MERRA view of cloud, thermodynamic, and dynamic variability within the subtropical marine boundary layer, Atmos. Chem. Phys., 17, 9451-9468, https://doi.org/10.5194/acp-17-9451-2017, 2017.
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Short summary
The global-scale patterns of subtropical marine boundary layer clouds are investigated with coincident NASA A-train satellite and reanalysis data. This study is novel in that all data are used at the finest spatial and temporal resolution possible. Our results are consistent with surface-based data and suggest that the combination of satellite and reanalysis data sets have potential to add to the global context of our understanding of the subtropical cumulus-dominated marine boundary layer.
The global-scale patterns of subtropical marine boundary layer clouds are investigated with...
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