CALIPSO/CALIOP Cloud Phase Discrimination Algorithm
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Open Access
- 1 November 2009
- journal article
- Published by American Meteorological Society in Journal of Atmospheric and Oceanic Technology
- Vol. 26 (11), 2293-2309
- https://doi.org/10.1175/2009jtecha1280.1
Abstract
The current cloud thermodynamic phase discrimination by Cloud-Aerosol Lidar Pathfinder Satellite Observations (CALIPSO) is based on the depolarization of backscattered light measured by its lidar [Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP)]. It assumes that backscattered light from ice crystals is depolarizing, whereas water clouds, being spherical, result in minimal depolarization. However, because of the relationship between the CALIOP field of view (FOV) and the large distance between the satellite and clouds and because of the frequent presence of oriented ice crystals, there is often a weak correlation between measured depolarization and phase, which thereby creates significant uncertainties in the current CALIOP phase retrieval. For water clouds, the CALIOP-measured depolarization can be large because of multiple scattering, whereas horizontally oriented ice particles depolarize only weakly and behave similarly to water clouds. Because of the nonunique depolarization–cloud phase relationship, more constraints are necessary to uniquely determine cloud phase. Based on theoretical and modeling studies, an improved cloud phase determination algorithm has been developed. Instead of depending primarily on layer-integrated depolarization ratios, this algorithm differentiates cloud phases by using the spatial correlation of layer-integrated attenuated backscatter and layer-integrated particulate depolarization ratio. This approach includes a two-step process: 1) use of a simple two-dimensional threshold method to provide a preliminary identification of ice clouds containing randomly oriented particles, ice clouds with horizontally oriented particles, and possible water clouds and 2) application of a spatial coherence analysis technique to separate water clouds from ice clouds containing horizontally oriented ice particles. Other information, such as temperature, color ratio, and vertical variation of depolarization ratio, is also considered. The algorithm works well for both the 0.3° and 3° off-nadir lidar pointing geometry. When the lidar is pointed at 0.3° off nadir, half of the opaque ice clouds and about one-third of all ice clouds have a significant lidar backscatter contribution from specular reflections from horizontally oriented particles. At 3° off nadir, the lidar backscatter signals for roughly 30% of opaque ice clouds and 20% of all observed ice clouds are contaminated by horizontally oriented crystals.Keywords
This publication has 21 references indexed in Scilit:
- Depolarization ratio–effective lidar ratio relation: Theoretical basis for space lidar cloud phase discriminationGeophysical Research Letters, 2007
- The depolarization - attenuated backscatter relation: CALIPSO lidar measurements vs. theoryOptics Express, 2007
- Simple relation between lidar multiple scattering and depolarization for water cloudsOptics Letters, 2006
- Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part I: Microphysical Data and ModelsJournal of Applied Meteorology and Climatology, 2005
- Discriminating between spherical and non-spherical scatterers with lidar using circular polarization: a theoretical studyJournal of Quantitative Spectroscopy and Radiative Transfer, 2003
- Identification of cloud phase from PICASSO-CENA lidar depolarization: a multiple scattering sensitivity studyJournal of Quantitative Spectroscopy and Radiative Transfer, 2001
- Remote sensing of cloud properties using MODIS airborne simulator imagery during SUCCESS: 2. Cloud thermodynamic phaseJournal of Geophysical Research: Atmospheres, 2000
- Observations of horizontally oriented ice crystals in cirrus clouds with POLDER-1/ADEOS-1Journal of Quantitative Spectroscopy and Radiative Transfer, 1999
- Some Microphysical Properties of an Ice Cloud from Lidar Observation of Horizontally Oriented CrystalsJournal of Applied Meteorology, 1978
- Lidar Observation of a Mixed-Phase Altostratus CloudJournal of Applied Meteorology, 1977