Aerosols - liquid or solid particles suspended in the air - are important constituents of the global atmosphere.
Asia is the region of the great source of global carbon emission and this trend is expected to increase in the near
future. There are two kinds of carbonaceous aerosols i.e. organic matter (OM) and black carbon (BC). Black
carbon stands after only carbon dioxide (CO2) in the list of climate change contributors. BC can directly absorb
solar radiation or mix with other aerosols to form atmospheric brown clouds which absorb incoming solar
radiation and prevent it from reaching the surface, thereby warming the atmosphere. Thus, in this study, the
Laboratoire de Meteorologie Dynamique model (LMD, version 3.3) is used to investigate the possible effect of
carbonaceous aerosols over India for the monsoon periods on the atmospheric radiation transfer and over the
precipitation. LMDZ.3.3 is integrated for different years for the Indian southwest monsoon periods (seasonal
experiments) over the globe for the resolution 96x72x19 (approx. 300 km). Model simulated aerosol optical
depth at 550 nm has been validated with satellite data (MODIS). The simulation results show that BC aerosol
induce a positive radiative forcing, while organic matter show negative radiative forcing at the top of the
atmosphere and a negative radiative forcing at the surface in this region. However, the impact of BC and OM
over rainfall is different and complex for different places. The sensitivity studies for carbonaceous aerosols have
been done for 21 years (1987-2007) for the monsoon period, and the rainfall is compared with GPCP (Global
Precipitation Climatology Project) with the help of Principal component analysis.
Desktop computers have evolved to the point where they can process GOES variable-length (GVAR) data blocks at 1 Gbyte/hour, despite the complexity of the data stream and the varied demands of realtime users. Because of the lack of off-the-shelf GVAR processing packages before the launch of GOES-I in 1994, we assembled a custom open system at NASA- GSFC to automatically ingest, process and disseminate full- resolution GOES-8 and GOES-9 imagery 24 hours per day. This data service is now widely used by the internet community. The hardware-software package described here can be copied freely. Similar systems are now available from commercial vendors.