Atmospheric Radiation Measurement Climate Research Facility US Department of Energy

arscl > Active Remote Sensing of CLoudsVAP Type(s) > Baseline • External

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.


  • Fixed
  • AMF1
  • AMF2
  • AMF3


mmcr: Millimeter Wavelength Cloud Radar

mpl: Micropulse Lidar


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.
Research Highlight

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.
Research Highlight

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.
Research Highlight

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Scott Giangrande
Brookhaven National Laboratory

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