The Active Remote Sensing of Clouds (ARSCL) VAP combines data from active remote sensors to produce an objective determination of hydrometeor height distributions and estimates of their radar reflectivities, vertical velocities, and Doppler spectral widths, which are optimized for accuracy. These data provide fundamental information for retrieving cloud microphysical properties and assessing the radiative effects of clouds on climate.
Jensen M, V Ghate, D Wang, D Apoznanski, M Bartholomew, S Giangrande, K Johnson, and M Thieman. 2021. "Contrasting characteristics of open- and closed-cellular stratocumulus cloud in the eastern North Atlantic." Atmospheric Chemistry and Physics, 21(19), 10.5194/acp-21-14557-2021.
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Riihimaki L, X Li, Z Hou, and L Berg. 2021. "Improving prediction of surface solar irradiance variability by integrating observed cloud characteristics and machine learning." Solar Energy, 225, 10.1016/j.solener.2021.07.047.
Öktem R and D Romps. 2021. "Prediction for cloud spacing confirmed using stereo cameras." Journal of the Atmospheric Sciences, 78(12), 10.1175/JAS-D-21-0026.1.
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HENKES A, G Fisch, L Machado, and J Chaboureau. 2021. "Morning boundary layer conditions for shallow to deep convective cloud evolution during the dry season in the central Amazon." Atmospheric Chemistry and Physics, 21(17), 10.5194/acp-21-13207-2021.
Balmes K and Q Fu. 2021. "All‐sky aerosol direct radiative effects at the ARM SGP site." Journal of Geophysical Research: Atmospheres, 126(17), e2021JD034933, 10.1029/2021JD034933.
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