Using CALIPSO Space Lidar Data in Conjunction with Passive Remote Sensing for Characterization of Spatiotemporal Distribution of Asian Dust Outbreaks and Their Radiative Impact
A better understanding of the properties and spatiotemporal distribution of atmospheric dust is needed for improved predictions of aerosol radiative forcing on climate. We use CALIPSO data in conjunction with A-Train satellite multi-sensor observations (Ozone Monitoring Instrument, OMI, Moderate-Resolution Imaging Spectroradiometer, MODIS, and CloudSat) as well as ground-based data to investigate the dynamics of East Asian dust plumes during March-April of 2007, considering dust sources and mid- and long-range transport. In addition, using recent data on the composition of Asian dust, we compute the dust optical properties (lidar ratio, particle depolarization ratio and color ratio) to aid in interpretation of CALIPSO data. Based on CALIPSO and CloudSat observations, we investigate the importance of the layered vertical distribution of dust and clouds on the dust radiative impact. The effect of ageing of dust and its mixing with other aerosol is also examined. The results of intensive one-dimensional radiative transfer simulations addressing these issues will be presented with the focus on TOA radiative forcing and heating/cooling rates in differing dust-laden conditions.
AGU Fall Meeting Abstracts
- Pub Date:
- December 2007
- 0305 Aerosols and particles (0345;
- 0360 Radiation: transmission and scattering;
- 3360 Remote sensing