1 / 23

Bryan A. Baum 1 Ping Yang 2 , Andrew Heymsfield 3

Hyperspectral/Multispectral Ice Cloud Microphysical and Optical Models. Bryan A. Baum 1 Ping Yang 2 , Andrew Heymsfield 3 1 NASA Langley Research Center, Hampton, VA 2 Texas A&M University, College Station, TX

bly
Download Presentation

Bryan A. Baum 1 Ping Yang 2 , Andrew Heymsfield 3

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Hyperspectral/Multispectral Ice Cloud Microphysical and Optical Models Bryan A.Baum1 Ping Yang2, Andrew Heymsfield3 1 NASA Langley Research Center, Hampton, VA 2 Texas A&M University, College Station, TX 3 National Center for Atmospheric Research, Boulder, CO Goal: Provide ice cloud bulk scattering models that are developed consistently for suite of multispectral and hyperspectral instruments 5th Workshop on Hyperspectral Science June 7-9, 2005

  2. Bulk Scattering Models Operational satellite-based cloud retrievals require the ability to simulate realistic ice cloud radiances quickly Simulations require bulk scattering parameters such as single-scattering albedo scattering phase function or asymmetry factor extinction efficiency or scattering/absorption cross sections Scattering parameters in turn are based on the cloud phase (ice, water, or mixed) particle size distribution particle habit distribution wavelength(s) Have libraries of scattering properties from Ping Yang & colleagues

  3. Library of SWIR to Far-IR Scattering Properties 100 to 3250 cm-1 Library of ice particle scattering properties include Hexagonal plates Solid and hollow columns Aggregates Droxtals 3D bullet rosettes 45 size bins ranging from 2 to 9500 m Spectral range: 100 to 3250 cm-1 at 1-cm-1 resolution Properties for each habit/size bin include volume, projected area, maximum dimension, single-scattering albedo, asymmetry factor, and extinction efficiency * Yang, P., H. Wei, H. L Huang, B. A. Baum, Y. X. Hu, M. I. Mishchenko, and Q. Fu, Scattering and absorption property database of various nonspherical ice particles in the infrared and far-infrared spectral region. In press, Applied Optics.

  4. Particle Size Distributions Gamma size distribution* has the form: N(D) = NoDe-D whereD = max diameter No = intercept  = dispersion  = slope The intercept, slope, and dispersion values are derived for each PSD by matching three moments (specifically, the 1st, 2nd, and 6th moments) Note: when  = 0, the PSD reduces to an exponential distribution *Heymsfield et al., Observations and parameterizations of particle size distributions in deep tropical cirrus and stratiform precipitating clouds: Results from in situ observations in TRMM field campaigns. J. Atmos. Sci., 59, 3457-3491, 2002.

  5. Field Campaign Information Probe size ranges are: 2D-C, 40-1000 m; 2D-P, 200-6400 m; HVPS (High Volume Precipitation Spectrometer), 200–6100 m; CPI (Cloud Particle Imager), 20-2000 m; Replicator, 10-800 m; VIPS (Video Ice Particle Sampler): 20-200 m.

  6. Replicator Ice Crystal Profiles from FIRE Cirrus II Campaign

  7. Ice Crystal Profiles From Tropical Cirrus

  8. Particle Size Distributions From Gamma Fits • Midlatitude cirrus characteristics • Size sorting more pronounced • Small crystals at cloud top • More often find pristine particles • Tropical cirrus anvil characteristics • Form in an environment having much higher vertical velocities • Size sorting is not as well pronounced • Large crystals often present at cloud top • Crystals may approach cm in size. • Habits tend to be more complex • Note that CRYSTAL distributions tend to be the narrowest overall

  9. Ice Particle Habit Distribution At this point, we have - ice particle scattering library - wealth of microphysical data for ice clouds (1117 PSDs) Next issue: develop a ice particle habit distribution that makes sense Note: each idealized ice particle has a prescribed volume, and hence mass Compare IWC and Dm computed from integrating over the habit and size distributions to those values estimated from techniques developed by Heymsfield and colleagues from analyses of their in situ data

  10. Ice Water Content and Median Mass Diameter

  11. Ice Particle Habit Percentages Based on Comparison of Calculated to In-situ Dm and IWC Guidelines 4 size domains defined by particle maximum length Droxtals: used only for smallest particles Aggregates: only for particles > 1000 m Plates: used only for particles of intermediate size Proposed ice particle habit mixture Max length < 60 m 100% droxtals 60 mm < Max length < 1000 m 15% bullet rosettes 35% hexagonal plates 50% solid columns 1000 mm < Max length < 2500 m 45% solid columns 45% hollow columns 10% aggregates Max length > 2500 m 97% bullet rosettes 3% aggregates

  12. Relationship Between Dm and Deff

  13. Relationship Between IWC and Deff

  14. Small Particle Sensitivity Study Note that CRYSTAL distributions tend to be the narrowest overall For all 41 CRYSTAL size distributions, increase the number of particles with Dmax < 20 m by a factor of 100 or 1000

  15. Development of Discrete Set of Models For building look-up tables for operational retrievals, want discrete set of models that are evenly spaced in effective diameter

  16. Bulk Scattering Models Available for Multiple Instruments Provide bulk properties (mean and std. dev.) evenly spaced in Deff from 10 to 180 m for asymmetry factor phase function single-scattering albedo extinction efficiency& cross sections IWCDm Models available at http://www.ssec.wisc.edu/~baum for IR Spectral Models (100 to 3250 cm-1) MODIS AVHRR AATSR MISR VIRS MAS (MODIS Airborne Simulator) ABI (Advanced Baseline Imager) POLDER (Polarization) SEVIRI (Spinning Enhanced Visible InfraRed Imager)

More Related