arscl: Active Remote Sensing of CLouds

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.

For more details, click the ARM millimeter wave cloud radars (MMCRs) and the Active Remote Sensing of Clouds (ARSCL) Value Added Product (VAP).

Measurements

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

Components

mmcr: Millimeter Wavelength Cloud Radar

mpl: Micropulse Lidar

2020

Wang D, M Jensen, J D'Iorio, G Jozef, S Giangrande, K Johnson, Z Luo, M Starzec, and G Mullendore. 2020. "An Observational Comparison of Level of Neutral Buoyancy and Level of Maximum Detrainment in Tropical Deep Convective Clouds." Journal of Geophysical Research: Atmospheres, , 10.1029/2020JD032637. ONLINE.

Zhang C, S Xie, C Tao, S Tang, T Emmenegger, J Neelin, K Schiro, W Lin, and Z Shaheen. 2020. "The ARM Data-oriented Metrics and Diagnostics Package for Climate Models - A New Tool for Evaluating Climate Models with Field Data." Bulletin of the American Meteorological Society, preprint(2020), 10.1175/BAMS-D-19-0282.1.
Research Highlight

Giangrande S, D Wang, and D Mechem. 2020. "Cloud regimes over the Amazon Basin: perspectives from the GoAmazon2014/5 campaign." Atmospheric Chemistry and Physics, 20(12), 10.5194/acp-20-7489-2020.

Zhang D, L Riihimaki, KL Gaustad, and DD Turner. 2020. MWRRETV2 Value-Added Product Report: The Retrieval of Liquid Water Path and Precipitable Water Vapor from Microwave Radiometer – 3-Channel (MWR3C) Data Sets. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-TR-245.

Naud C, J Booth, K Lamer, R Marchand, A Protat, and G McFarquhar. 2020. "On The Relationship Between The Marine Cold Air Outbreak M Parameter And Low‐Level Cloud Heights In The Midlatitudes." Journal of Geophysical Research: Atmospheres, 125(13), e2020JD032465, 10.1029/2020JD032465.

Tang S, S Xie, M Zhang, and S Endo. 2020. "Improvement of Atmospheric Objective Analysis over Sloping Terrain and Its Impact on Shallow‐Cumulus Clouds in Large‐Eddy Simulations." Journal of Geophysical Research: Atmospheres, 125(13), e2020JD032492, 10.1029/2020JD032492.
Research Highlight

Zhang M, S Xie, X Liu, W Lin, K Zhang, H Ma, X Zheng, and Y Zhang. 2020. "Toward Understanding the Simulated Phase Partitioning of Arctic Single‐Layer Mixed‐Phase Clouds in E3SM." Earth and Space Science, 7(7), e2020EA001125, 10.1029/2020EA001125.
Research Highlight

Riley E, J Kleiss, L Riihimaki, C Long, L Berg, and E Kassianov. 2020. "Shallow cumuli cover and its uncertainties from ground-based lidar-radar data and sky images." Atmospheric Measurement Techniques, 13(4), 10.5194/amt-13-2099-2020.

2011

Oreopoulos L and PM Norris. 2011. "An analysis of cloud overlap at a midlatitude atmospheric observation facility." Atmospheric Chemistry and Physics, 11(12), 10.5194/acp-11-5557-2011.


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