Journal of Geophysical Research Atmospheres · 2008 · 24 citations · 53 references
Natural SciencesEarth SciencesAtmospheric RadiationAtmospheric ScienceRemote SensingAerosol Remote SensingAtmospheric OpticsAtmospheric ScatteringCloud Optical PropertiesCloud PropertiesCloud Remote SensingAerosol Optical Depth RetrievalAerosol Optical PropertiesAerosol PropertiesIrradianceOptical DepthOptical PropertiesOzonePhysical Model Inversion
This paper describes a number of practical considerations concerning the optimization and operational implementation of an algorithm used to characterize the optical properties of aerosols across part of the ultraviolet (UV) spectrum. The algorithm estimates values of aerosol optical depth (AOD) and aerosol single scattering albedo (SSA) at seven wavelengths in the UV, as well as total column ozone (TOC) and wavelength‐independent asymmetry factor ( g ) using direct and diffuse irradiances measured with a UV multifilter rotating shadowband radiometer (UV‐MFRSR). A novel method for cloud screening the irradiance data set is introduced, as well as several improvements and optimizations to the retrieval scheme which yield a more realistic physical model for the inversion and increase the efficiency of the algorithm. Introduction of a wavelength‐dependent retrieval error budget generated from rigorous forward model analysis as well as broadened covariances on the a priori values of AOD, SSA and g and tightened covariances of TOC allows sufficient retrieval sensitivity and resolution to obtain unique solutions of aerosol optical properties as demonstrated by synthetic retrievals. Analysis of a cloud screened data set (May 2003) from Panther Junction, Texas, demonstrates that the algorithm produces realistic values of the optical properties that compare favorably with pseudo‐independent methods for AOD, TOC and calculated Ångstrom exponents. Retrieval errors of all parameters (except TOC) are shown to be negatively correlated to AOD, while the Shannon information content is positively correlated, indicating that retrieval skill improves with increasing atmospheric turbidity. When implemented operationally on more than thirty instruments in the Ultraviolet Monitoring and Research Program's (UVMRP) network, this retrieval algorithm will provide a comprehensive and internally consistent climatology of ground‐based aerosol properties in the UV spectral range that can be used for both validation of satellite measurements as well as regional aerosol and ultraviolet transmission studies.
53
AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization
B. N. Holben, T. F. Eck, I. Slutsker et al. · Remote Sensing of Environment · 1998 · 8.5K citations · Full text
Aerosols, Climate, and the Hydrological Cycle
V. Ramanathan, Paul J. Crutzen, J. T. Kiehl et al. · Science · 2001 · 4.1K citations
Cloud-Screening and Quality Control Algorithms for the AERONET Database
A. Smirnov, B. N. Holben, T. F. Eck et al. · Remote Sensing of Environment · 2000 · 1.5K citations · Full text