Abstract: An algorithm is developed to rapidly estimate cloud properties for a large area from daytime imager data. In this context, a large area refers to a grid cell composed of many imager pixels. The algorithm assumes a gamma ...

Abstract: his paper describes the daytime cloud optical and microphysical properties (DCOMP) retrieval for the Pathfinder Atmosphere?s Extended (PATMOS-x) climate dataset. Within PATMOS-x, DCOMP is applied to observations from the ...

Abstract: This paper revisits the classical problem of particle scattering?gaseous absorption and considers the extent to which the growth of absorption lines of a known gas can be used to obtain information about the scattering ...

Abstract: he emergence of satellite-based cloud records of climate length and quality hold tremendous potential for climate model development, climate monitoring, and studies on global water cycling and its subsequent energetics. ...

Abstract: atellite drift is a historical issue affecting the consistency of those few satellite records capable of being used for studies on climate time scales. Here, the authors address this issue for the Pathfinder Atmospheres ...

Abstract: As numerical weather and climate prediction models demand more accurate treatment of clouds, the role of finite-cloud effects in longwave radiative transfer clearly warrants further study. In this research, finite-cloud ...

Abstract: This paper demonstrates that the split-window approach for estimating cloud properties can improve upon the methods commonly used for generating cloud temperature and emissivity climatologies from satellite imagers. Because ...

Abstract: This paper explores the feasibility of using O2 A-band reflectance spectra in the retrieval of cloud optical and physical properties. Analyses demonstrate that these reflection spectra are sensitive to optical properties ...

Abstract: Data from the National Oceanic and Atmospheric Administration?s (NOAA?s) Advanced Very High Resolution Radiometer (AVHRR) instrument are used to provide the mean July and January global daytime distributions of multilayer ...

Abstract: The paper analyzes the influence of horizontal variability of clouds on sunlight reflected in a narrow portion of the solar spectrum and how this influence affects the ability to estimate cloud properties from measurements ...