HR: 1340h
AN: A33A-0852    [Abstracts]
TI: Evaluation of MODIS aerosol products in dusty and heterogeneous environments
AU: * Zhang, J
EM: zhang@nrlmry.navy.mil
AF: Naval Research Laboratory Naval Research Laboratory Naval Research laboratory, 7 Grace Hopper St Stop 2, Monterey, CA 93943
AU: * Zhang, J
EM: zhang@nrlmry.navy.mil
AF: UCAR, 7 Grace Hopper St Stop 2, Monterey, ca 93943
AU: Reid, J S
EM: reidj@nrlmry.navy.mil
AF: Naval Research Laboratory Naval Research Laboratory Naval Research laboratory, 7 Grace Hopper St Stop 2, Monterey, CA 93943
AB: Today, the analysis and forecasting of aerosol particles using conventional offline transport modeling methods is reaching a turning point. Studies have shown that progress can be best achieved through the assimilation of satellite aerosol retrievals into these models. However, since these satellite aerosol datasets could be more uncertain than the models themselves, especially in the regions with cirrus clouds, coastal waters and complicated land features, an objective analysis of the true benefits and uncertainties of such data needs to be performed. In this study, using one year­_s worth of MODerate-resolution Imaging Spectroradiometer (MODIS) level 2 aerosol product for both Terra (MOD04) and Aqua (MYD04), we evaluated MODIS level 2 aerosol product over the UAE2 field campaign area and other dusty regions of the world. Our research is further extended to study error matrix and error variance of MODIS level 2 aerosol product that is associated with observing conditions. Regional differences in the efficacy of dust optical depth estimates are explored and in part related to dust microphysics as well as other retrieval phenomenon. Using the error statistics in heterogeneous environments, we also estimated the impact of MODIS errors on aerosol direct forcing that is derived from the combining of the Clouds and the Earth's Radiant Energy System (CERES) and MODIS aerosol product. In conclusion, this study establishes the first step toward assimilating MODIS aerosol optical depth retrievals into the Navy Aerosol Analysis and Prediction System (NAAPS).
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 1640 Remote sensing (1855)
DE: 3360 Remote sensing
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005