Atmospheric Radiation Measurement Climate Research Facility US Department of Energy

mpl > Micropulse LidarInstrument Type(s) > Baseline • Evaluation • External • Guest

The micropulse lidar (MPL) is a ground-based, optical, remote-sensing system designed primarily to determine the altitude of clouds; however, it is also used for detection of atmospheric aerosols. The physical principle is the same as for radar. Pulses of energy are transmitted into the atmosphere; the energy scattered back to the transceiver is collected and measured as a time-resolved signal, thereby detecting clouds and aerosols in real time.

From the time delay between each outgoing pulse and the backscattered signal, the distance to the scatterer is inferred. Post-processing of the lidar return characterizes the extent and properties of aerosols or other particles in a region.

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

2022

Liu B, X Ma, Y Ma, H Li, S Jin, R Fan, and W Gong. 2022. "The relationship between atmospheric boundary layer and temperature inversion layer and their aerosol capture capabilities." Atmospheric Research, 271, 106121, 10.1016/j.atmosres.2022.106121.

Geerts B, S Giangrande, G McFarquhar, L Xue, S Abel, J Comstock, S Crewell, P DeMott, K Ebell, P Field, T Hill, A Hunzinger, M Jensen, K Johnson, T Juliano, P Kollias, B Kosovic, C Lackner, E Luke, C Lüpkes, A Matthews, R Neggers, M Ovchinnikov, H Powers, M Shupe, T Spengler, B Swanson, M Tjernström, A Theisen, N Wales, Y Wang, M Wendisch, and P Wu. 2022. "The COMBLE campaign: a study of marine boundary-layer clouds in Arctic cold-air outbreaks." Bulletin of the American Meteorological Society, , 10.1175/BAMS-D-21-0044.1.

Yang J, Y Zhang, Z Wang, and D Zhang. 2022. "Cloud Type and Life Stage Dependency of Liquid–Ice Mass Partitioning in Mixed-Phase Clouds." Remote Sensing, 14(6), 10.3390/rs14061431.

Fitch K and T Garrett. 2022. "Measurement and Analysis of the Microphysical Properties of Arctic Precipitation Showing Frequent Occurrence of Riming." Journal of Geophysical Research: Atmospheres, 127(7), e2020JD035980, 10.1029/2021JD035980.

Muñoz‐Esparza D, J Sauer, A Jensen, L Xue, and W Grabowski. 2022. "The FastEddy Resident‐GPU Accelerated Large‐Eddy Simulation Framework: Moist Dynamics Extension, Validation and Sensitivities of Modeling Non‐Precipitating Shallow Cumulus Clouds." Journal of Advances in Modeling Earth Systems, 14(4), e2021MS002904, 10.1029/2021MS002904. ACCEPTED.


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