Atmospheric aerosol and trace gas parameter derived from local MFRSR network: multi-instrument data fusion in comparison with satellite retrievals

Mikhail D. Alexandrov; Andrew A. Lacis; Barbara E. Carlson; Brian Cairns

doi:10.1117/12.462404

18 April 2003 Atmospheric aerosol and trace gas parameter derived from local MFRSR network: multi-instrument data fusion in comparison with satellite retrievals

Mikhail D. Alexandrov, Andrew A. Lacis, Barbara E. Carlson, Brian Cairns

Author Affiliations +

Proceedings Volume 4882, Remote Sensing of Clouds and the Atmosphere VII; (2003) https://doi.org/10.1117/12.462404
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

Abstract

We present the results of a scale analysis of aerosol optical thickness (AOT) variability in time and space. The standard scale analysis methods based on variance spectra, structure functions and singular measures were applied to different datasets to determine AOT scaling properties in the scale range from 0.2 to 1200 km. We used data sets from the local network of Multi-Filter Rotating Shadowband Radiometers (MFRSRs) located at the DOE ARM program's Southern Great Plains (SGP) site. This network consists of 21 instruments arrayed across approximately 55,000 square miles in north-central Oklahoma and south-central Kansas. Our analysis demonstrates that datasets from the SGP network can provide definitive information on both temporal and spatial AOT variability. We compare AOT scale properties derived from MFRSR network data with those derived from MODIS satellite aerosol retrievals over SGP. We also use MODIS retrievals over larger land and ocean areas to study large-scale AOT variability. Our analysis suggests that the variability of AOT splits into three main scale regimes. Three-dimensional turbulent transport dominates small scales (0-30 km), the influence of 2D turbulence at scales larger than 30 km makes AOT more non-stationary, and finally, the influence of the AOT boundedness at scales larger than 100 km presses AOT behavior back towards stationarity. However, the scales used in our analysis were not large enough to observe the boundedness-induced asymptotic regime in AOT variability, where any further scale increase does not change variability properties.

Citation Download Citation

Mikhail D. Alexandrov, Andrew A. Lacis, Barbara E. Carlson, and Brian Cairns "Atmospheric aerosol and trace gas parameter derived from local MFRSR network: multi-instrument data fusion in comparison with satellite retrievals", Proc. SPIE 4882, Remote Sensing of Clouds and the Atmosphere VII, (18 April 2003); https://doi.org/10.1117/12.462404

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