Articles | Volume 11, issue 2
https://doi.org/10.5194/amt-11-835-2018
https://doi.org/10.5194/amt-11-835-2018
Research article
 | 
14 Feb 2018
Research article |  | 14 Feb 2018

Improved cloud-phase determination of low-level liquid and mixed-phase clouds by enhanced polarimetric lidar

Robert A. Stillwell, Ryan R. Neely III, Jeffrey P. Thayer, Matthew D. Shupe, and David D. Turner

Related authors

MicroPulse DIAL (MPD) – a diode-laser-based lidar architecture for quantitative atmospheric profiling
Scott M. Spuler, Matthew Hayman, Robert A. Stillwell, Joshua Carnes, Todd Bernatsky, and Kevin S. Repasky
Atmos. Meas. Tech., 14, 4593–4616, https://doi.org/10.5194/amt-14-4593-2021,https://doi.org/10.5194/amt-14-4593-2021, 2021
Short summary
First Look at the Occurrence of Horizontally Oriented Ice Crystals over Summit, Greenland
Sebastian Cole, Ryan R. Neely III., and Robert A. Stillwell
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2016-1134,https://doi.org/10.5194/acp-2016-1134, 2017
Preprint withdrawn
Low-Level, Liquid-Only and Mixed-Phase Cloud Identification by Polarimetric Lidar
Robert A. Stillwell, Ryan R. Neely III, Jeffrey P. Thayer, Matthew D. Shupe, and Michael O'Neill
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2016-303,https://doi.org/10.5194/amt-2016-303, 2016
Revised manuscript not accepted
Short summary

Related subject area

Subject: Clouds | Technique: Remote Sensing | Topic: Instruments and Platforms
Processing reflectivity and Doppler velocity from EarthCARE's cloud-profiling radar: the C-FMR, C-CD and C-APC products
Pavlos Kollias, Bernat Puidgomènech Treserras, Alessandro Battaglia, Paloma C. Borque, and Aleksandra Tatarevic
Atmos. Meas. Tech., 16, 1901–1914, https://doi.org/10.5194/amt-16-1901-2023,https://doi.org/10.5194/amt-16-1901-2023, 2023
Short summary
The EarthCARE Mission – Science and System Overview
Tobias Wehr, Takuji Kubota, Georgios Tzeremes, Kotska Wallace, Hirotaka Nakatsuka, Yuichi Ohno, Rob Koopman, Stephanie Rusli, Maki Kikuchi, Michael Eisinger, Toshiyuki Tanaka, Masatoshi Taga, Patrick Deghaye, Eichi Tomita, and Dirk Bernaerts
EGUsphere, https://doi.org/10.5194/egusphere-2022-1476,https://doi.org/10.5194/egusphere-2022-1476, 2023
Short summary
3D cloud envelope and cloud development velocity from simulated CLOUD (C3IEL) stereo images
Paolo Dandini, Céline Cornet, Renaud Binet, Laetitia Fenouil, Vadim Holodovsky, Yoav Y. Schechner, Didier Ricard, and Daniel Rosenfeld
Atmos. Meas. Tech., 15, 6221–6242, https://doi.org/10.5194/amt-15-6221-2022,https://doi.org/10.5194/amt-15-6221-2022, 2022
Short summary
Passive ground-based remote sensing of radiation fog
Heather Guy, David D. Turner, Von P. Walden, Ian M. Brooks, and Ryan R. Neely
Atmos. Meas. Tech., 15, 5095–5115, https://doi.org/10.5194/amt-15-5095-2022,https://doi.org/10.5194/amt-15-5095-2022, 2022
Short summary
Locations for the best lidar view of mid-level and high clouds
Matthias Tesche and Vincent Noel
Atmos. Meas. Tech., 15, 4225–4240, https://doi.org/10.5194/amt-15-4225-2022,https://doi.org/10.5194/amt-15-4225-2022, 2022
Short summary

Cited articles

Albrecht, B. and Cox, S. K.: Procedures for Improving Pyrgeometer Performance, J. Appl. Meteorol., 16, 188–197, https://doi.org/10.1175/1520-0450(1977)016<0190:PFIPP>2.0.CO;2, 1977.
Alvarez, J. M., Vaughan, M. A., Hostetler, C. A., Hunt, W. H., and Winker, D. M.: Calibration Technique for Polarization-Sensitive Lidars, J. Atmos. Ocean. Tech., 23, 683–699, https://doi.org/10.1175/JTECH1872.1, 2006.
Bendix, J.: A Satellite-Based Climatology of Fog and Low-Level Stratus in Germany and Adjacent Areas, Atmos. Res., 64, 3–18, https://doi.org/10.1016/S0169-8095(02)00075-3, 2002.
Bennartz, R., Shupe, M. D., Turner, D. D., Walden, V. P., Steffen, K., Cox, C. J., Kulie, M. S., Miller, N. B., and Pettersen, C.: July 2012 Greenland Melt Extent Enhanced by Low-Level Liquid Clouds, Nature, 496, 83–86, https://doi.org/10.1038/nature12002, 2013.
Biele, J., Beyerle, G., and Baumgarten, G.: Polarization Lidar: Correction of Instrumental Effects, Opt. Express, 7, 427–435, https://doi.org/10.1364/OE.7.000427, 2000.
Download
Short summary
This work focuses on making unambiguous measurements of Arctic cloud phase and assessing those measurements within the context of cloud radiative effects. It is found that effects related to lidar data recording systems can cause retrieval ambiguities that alter the interpretation of cloud phase in as much as 30 % of the available data. This misinterpretation of cloud-phase data can cause a misinterpretation of the effect of cloud phase on the surface radiation budget by as much as 10 to 30 %.