Study of tropical deep convection and its role in transport of trace gases using multi-satellite observations from the A-Train

Satellite observations from A-Train satellites such as Cloudsat, Calipso, Aura, and Aqua provide a wealth of data on their own, but the combination of products from each of these satellites can be much more powerful. A new database has been created to combine some of these products for individual cloud features with at least 10 contiguous pixels. These cloud features, identified from the Cloudsat cloud profiling radar, are the heart of the dataset. Then using the wind fields from ERA-interim near individual cloud features, the nearest profiles of atmospheric variables and trace gases from OMI, MLS, and the AIRS sounder are identified and matched from upstream and downstream of the cloud features. The relative distance from these cloud features to the core of deep convection are estimated by using the convective regions identified from AMSR-E observations. The methodology behind the creation of this database and some preliminary results, such as the properties of cloud features near deep convection in different meteorological regimes and differences between trace gases in the upstream and the downstream of deep convection, are presented.