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Large-scale vertical velocity, diabatic heating and drying profiles associated...

Tang, S., S. Xie, Y. Zhang, M. H. Zhang, C. Schumacher, H. Upton, M. P. Jensen, K. L. Johnson, M. Wang, M. Ahlgrimm, Z. Feng, P. Minnis, and M. Thieman (2016), Large-scale vertical velocity, diabatic heating and drying profiles associated with seasonal and diurnal variations of convective systems observed in the GoAmazon2014/5 experiment, Atmos. Chem. Phys., 16, 14249-14264, doi:10.5194/acp-16-14249-2016.
Abstract: 

This study describes the characteristics of largescale vertical velocity, apparent heating source (Q1 ) and apparent moisture sink (Q2 ) profiles associated with seasonal and diurnal variations of convective systems observed during the two intensive operational periods (IOPs) that were conducted from 15 February to 26 March 2014 (wet season) and from 1 September to 10 October 2014 (dry season) near Manaus, Brazil, during the Green Ocean Amazon (GoAmazon2014/5) experiment. The derived large-scale fields have large diurnal variations according to convective activity in the GoAmazon region and the morning profiles show distinct differences between the dry and wet seasons. In the wet season, propagating convective systems originating far from the GoAmazon region are often seen in the early morning, while in the dry season they are rarely observed. Afternoon convective systems due to solar heating are frequently seen in both seasons. Accordingly, in the morning, there is strong upward motion and associated heating and drying throughout the entire troposphere in the wet season, which is limited to lower levels in the dry season. In the afternoon, both seasons exhibit weak heating and strong moistening in the boundary layer related to the vertical convergence of eddy fluxes. A set of case studies of three typical types of convective systems occurring in Amazonia – i.e., locally occurring systems, coastal-occurring systems and basin-occurring systems – is also conducted to investigate the variability of the large-scale environment with different types of convective systems.

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Research Program: 
Modeling Analysis and Prediction Program (MAP)