We demonstrate that GLAS will routinely be able to detect certain atmospheric constituents. The conclusions are based upon results of lidar signal modeling using the engineering specifications of GLAS and the characteristic scattering values of atmospheric particles. For instance, the CLS found extensive layers of tropical tropopause cirrus during the 1993 TOGA/COARE and CEPEX deployments. These clouds had typical backscatter coefficients of 1e-3/km-sr and optical depth of less than 0.04 and were found to have horizontal extents of thousands of kilometers. We show that GLAS will readily find these clouds, which will permit development of climatologies of typical frequency of occurrence, altitude, and optical depth. Another type of interesting observation we expect from GLAS are Polar Stratospheric Clouds (PSC). These very high altitude aerosol-type layers occur on a seasonal basis in Polar Regions. The existing observational record of PSC's is quite limited. GLAS will expand that record dramatically. We present simulations for boundary layer, tropospheric, and stratospheric aerosol layers, biomass-burning smoke layers, mesoscale and synoptic scale cirrus layers, marine stratocumulus layers, and other significant cloud or aerosol features. This presentation will demonstrate to the atmospheric monitoring community the efficacy of GLAS observations in the development of improved and expanded global climatological records and models.