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3 October 2007 CNR-IMAA integrated measurements for the atmospheric profiling
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Abstract
The synergistic use of the measurements carried out using active and passive techniques represent a powerful solution to fully exploit the capabilities of each remote sensing techniques and to contemporarily overrun its main limitations. The ground-based facility operational at the CNR-IMAA for the study of the atmosphere is an optimal site where testing possible synergies between active and passive techniques for improving the profiling capabilities of atmospheric key variables, such as aerosol, water vapor and clouds. The combination of the measurements provided by a lidar and a passive sensor is a particularly promising approach because it puts together the high-resolution measurements obtained using a lidar and the operational capabilities typical of passive sensors. In particular, the combination of the Raman lidar and sunphotometry measurements allows to describe the aerosol optical and microphysical properties, supporting the lidar retrievals during daytime and in presence of thick clouds. Moreover, the use of Raman lidar and microwave measurements, integrated using an approach based on the Kalman filter, is an optimal way to provide high-resolution measurements of the tropospheric water vapor in nearly all weather conditions. A strong improvement in the supercooled liquid water retrieval, obtained through the inversion of the microwave brightness temperature, is also achievable using the cloud base height information retrieved using the lidar backscattering ratio profile to constrain the microwave retrieval.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fabio Madonna, Aldo Amodeo, Antonella Boselli, Carmela Cornacchia, Vincenzo Cuomo, Giuseppe D'Amico, Aldo Giunta, Lucia Mona, and Gelsomina Pappalardo "CNR-IMAA integrated measurements for the atmospheric profiling", Proc. SPIE 6750, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing III, 67501K (3 October 2007); https://doi.org/10.1117/12.738019
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