24 September 2007 Improved processing of multi-filter rotating shadowband radiometer network for distributed monitoring
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In this presentation, we report on the development and data analysis of a regional Multi-Filter Rotating Shadowband Radiometer Network for real-time monitoring of the atmosphere aerosols in support of long term and satellite validation measurements. The conventional radiometer calibration approach is to perform a Langley regression which requires a stable aerosol optical depth. The use of Langley regressions assumptions results in errors ranging from 30% to 50% in optical depth and requires numerous recalibrations for instrument drift. To improve on this approach, we have implemented a novel algorithm based on the ratio between the direct and diffuse radiance developed at NASA GISS [1, 2, 3] in which only the optical depth ratios during the calibration procedure are required to be stable. In particular, we show that this approach significantly improve optical depth time series measurements when compared to AERONET CIMEL. This improvement is traced to a statistical analysis which shows that the normalized optical depth variability is approximately three times larger than the optical depth ratio variability. Time series data analysis of retrieved total AOD's (fine and coarse) and angstrom coefficients from distributed sites are also presented and compared to CIMEL AOD's products.
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Miguel Bustamante, Miguel Bustamante, Barry Gross, Barry Gross, Fred Moshary, Fred Moshary, Sam Ahmed, Sam Ahmed, } "Improved processing of multi-filter rotating shadowband radiometer network for distributed monitoring", Proc. SPIE 6684, Atmospheric and Environmental Remote Sensing Data Processing and Utilization III: Readiness for GEOSS, 66841E (24 September 2007); doi: 10.1117/12.734623; https://doi.org/10.1117/12.734623

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