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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/amt-2020-298
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-298
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  18 Aug 2020

18 Aug 2020

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A revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

Determining Cloud Thermodynamic Phase from the Polarized Micro Pulse Lidar

Jasper R. Lewis1,2, James R. Campbell3, Simone Lolli4, Sebastian A. Stewart5, Ivy Tan1,2, and Ellsworth J. Welton2 Jasper R. Lewis et al.
  • 1Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, Maryland, USA
  • 2NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
  • 3Naval Research Laboratory, Monterey, California, USA
  • 4CNR-IMAA, Istituto di Metodologie per l’Analisi Ambientale, Tito Scalo, Italy
  • 5Science Systems and Applications, Inc., Lanham, Maryland, USA

Abstract. A method to distinguish cloud thermodynamic phase from polarized Micro Pulse Lidar (MPL) measurements is described. The method employs a simple enumerative approach to classify cloud layers as either liquid water, ice water, or mixed-phase clouds based on the linear volume depolarization ratio and cloud top temperatures derived from Goddard Earth Observing System, version 5 (GEOS-5) assimilated data. Two years of cloud retrievals from the Micro Pulse Lidar Network (MPLNET) site in Greenbelt, MD are used to evaluate the performance of the algorithm. The fraction of supercooled liquid water in the mixed-phase temperature regime (−37 °C–0 °C) calculated using MPLNET data is compared to similar calculations made using the spaceborne Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument on board the Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite, with reasonable consistency.

Jasper R. Lewis et al.

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Jasper R. Lewis et al.

Jasper R. Lewis et al.

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Latest update: 27 Nov 2020
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Short summary
In this work, the authors describe a process to determine the thermodynamic cloud phase using Micro Pulse Lidar Network volume depolarization ratio measurements and temperature profiles from the Global Modeling and Assimilation Office GEOS-5 model. A multi-year analysis and comparisons to supercooled liquid-water fractions derived from CALIPSO satellite measurements are used to demonstrate the efficacy of the method.
In this work, the authors describe a process to determine the thermodynamic cloud phase using...
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