mpl: Micropulse Lidar

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

2020

Su T, Z Li, and R Kahn. 2020. "A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions." Remote Sensing of Environment, 237, 111519, 10.1016/j.rse.2019.111519.

Shell K, S de Szoeke, M Makiyama, and Z Feng. 2020. "Vertical Structure of Radiative Heating Rates of the MJO during DYNAMO." Journal of Climate, , 10.1175/JCLI-D-19-0519.1. ONLINE.

Gustafson W, A Vogelmann, Z Li, X Cheng, K Dumas, S Endo, K Johnson, B Krishna, T Toto, and H Xiao. 2020. "The Large-Eddy Simulation (LES) Atmospheric Radiation Measurement (ARM) Symbiotic Simulation and Observation (LASSO) Activity for Continental Shallow Convection." Bulletin of the American Meteorological Society, , 10.1175/BAMS-D-19-0065.1. ONLINE.

2019

Kollias P, N Bharadwaj, E Clothiaux, K Lamer, M Oue, J Hardin, B Isom, I Lindenmaier, A Matthews, E Luke, S Giangrande, K Johnson, S Collis, J Comstock, and J Mather. 2019. "The ARM Radar Network: At the Leading-edge of Cloud and Precipitation Observations." Bulletin of the American Meteorological Society, , 10.1175/BAMS-D-18-0288.1. ONLINE.

Yang F, R McGraw, E Luke, D Zhang, P Kollias, and A Vogelmann. 2019. "A new approach to estimate supersaturation fluctuations in stratocumulus cloud using ground-based remote-sensing measurements." Atmospheric Measurement Techniques, 12(11), 10.5194/amt-12-5817-2019.
Research Highlight

Riihimaki LD, T Shippert, and DD Turner. 2019. Atmospheric Emitted Radiance Interferometer Optimal Estimation (AERIoe) Value-Added Product Report . Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-TR-234.

Varble A, S Nesbitt, P Salio, E Avila, P Borque, P DeMott, G McFarquhar, S van den Heever, E Zipser, D Gochis, R Houze, M Jensen, P Kollias, S Kreidenweis, R Leung, K Rasmussen, D Romps, and C Williams. 2019. Cloud, Aerosol, and Complex Terrain Interactions (CACTI) Field Campaign Report. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-19-028.

Hines K, D Bromwich, S Wang, I Silber, J Verlinde, and D Lubin. 2019. "Microphysics of summer clouds in central West Antarctica simulated by the Polar Weather Research and Forecasting Model (WRF) and the Antarctic Mesoscale Prediction System (AMPS)." Atmospheric Chemistry and Physics, 19(19), 10.5194/acp-19-12431-2019.

Zhang D, A Vogelmann, P Kollias, E Luke, F Yang, D Lubin, and Z Wang. 2019. "Comparison of Antarctic and Arctic Single‐Layer Stratiform Mixed‐Phase Cloud Properties Using Ground‐Based Remote Sensing Measurements." Journal of Geophysical Research: Atmospheres, 124(17-18), 10.1029/2019JD030673.
Research Highlight

Silber I, J Verlinde, S Wang, D Bromwich, A Fridlind, M Cadeddu, E Eloranta, and C Flynn. 2019. "Cloud Influence on ERA5 and AMPS Surface Downwelling Longwave Radiation Biases in West Antarctica." Journal of Climate, 32(22), 10.1175/JCLI-D-19-0149.1.


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