Loading...
Please wait, while we are loading the content...
Similar Documents
Calipso satellite lidar identification of elevated dust over australia compared with air quality model pm60 forecasts
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Omar, Ali Cope, Martin Vaughan, Mark Liu, Zhaoyan Lee, Sunhee Young, Stuart A. Hu, Youngxiang |
| Copyright Year | 2008 |
| Description | Global measurements of the vertical distribution of clouds and aerosols have been recorded by the lidar on board the CALIPSO (Cloud Aerosol Lidar Infrared Pathfinder Satellite Observations) satellite since June 2006. Such extensive, height-resolved measurements provide a rare and valuable opportunity for developing, testing and validating various atmospheric models, including global climate, numerical weather prediction, chemical transport and air quality models. Here we report on the initial results of an investigation into the performance of the Australian Air Quality Forecast System (AAQFS) model in forecasting the distribution of elevated dust over the Australian region. The model forecasts of PM60 dust distribution are compared with the CALIPSO lidar Vertical Feature Mask (VFM) data product. The VFM classifies contiguous atmospheric regions of enhanced backscatter as either cloud or aerosols. Aerosols are further classified into six subtypes. By comparing forecast PM60 concentration profiles to the spatial distribution of dust reported in the CALIPSO VFM, we can assess the model s ability to predict the occurrence and the vertical and horizontal extents of dust events within the study area. |
| File Size | 263164 |
| Page Count | 4 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20080023466 |
| Archival Resource Key | ark:/13960/t5cc6028d |
| Language | English |
| Publisher Date | 2008-06-23 |
| Access Restriction | Open |
| Subject Keyword | Meteorology And Climatology Climatology Dust Spatial Distribution Atmospheric Models Backscattering Satellite Observation Mathematical Models Infrared Astronomy Numerical Weather Forecasting Optical Radar Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |