1 / 8

Topic #6: Ice/liquid mass partitioning in mixed phase cloud

Topic #6: Ice/liquid mass partitioning in mixed phase cloud. Co-leaders Greg McFarquhar (in-situ) Johannes Bühl (remote sensing). Participants In-situ: Bundke, Esposito, Hamilton, Henneberger Johnson, Jourdan, Krämer, Lawson, Meyer, Minikin, Schwarzenboeck, Ulanowski

olathe
Download Presentation

Topic #6: Ice/liquid mass partitioning in mixed phase cloud

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. Topic #6: Ice/liquid mass partitioning in mixed phase cloud Co-leaders Greg McFarquhar (in-situ) Johannes Bühl (remote sensing) Participants In-situ: Bundke, Esposito, Hamilton, Henneberger Johnson, Jourdan, Krämer, Lawson, Meyer, Minikin, Schwarzenboeck, Ulanowski Remote sensing: Alexander, Bieligk, Kommpula, Maahn, Wang Modeling: Flossman, Lohmann

  2. 1. General Description of Topic Theme and Objectives of the Topic Working Group • From Baumgardner et al. (2012) • What is the definition of a mixed-phase cloud? • What is minimum ratio of LWC/IWC required to identify cloud as mixed-phase • What are spatial scales of mixing between liquid & ice and how do they vary with height & meteorological conditions? • How are liquid & ice partitioned with respect to particle sizes (e.g., are all small particles liquid & all large particles ice) • How can small particles be distinguished from supercooled droplets & do frozen drops evolve in shape according to condition?

  3. 2. Brief Status of Topics • 2.1 In-Situ • Review of material from 2010 workshop in attached slides • 2.2 Remote Sensing • See following example • 2.3 Modeling • Need info

  4. Remote Sensing – Example Case • Liquid vs. ice mass partitioning possible by combination of remote sensing and in-situ measurements • Cloud radars (like the Mira36) are most not sensitive to detect falling ice particles • Lidars are best in detecting liquid (sub)layers • Lidar/Radar depolarization and terminal fall speed can be used to further classify detected particles • LWC and IWC as products of CLOUDNET • LWC: Scaled adiabatic Method (assisted by Radiometer) • IWC: Parametrization from In-Situ Measurements (Hogan 2006)

  5. Remote Sensing – Example Case Lidar Radar Signal Depolarization Fall Velocity

  6. Remote Sensing – Example Case Liquid Water Content [kg/m^3] (CLOUDNET Scaled Adiabatic) Ice Water Content [kg/m^3] (Parametrization of Hogan et. al., 2006)

  7. 3. Progress in Last 3 years • 3.1 In-Situ • McFarquhar et al. (2013) analysis of CPI images of small particles in mixed-phase clouds • Aerosol effects on mixed-phase clouds during ISDAC (Jackson et al. 2012) • Tethered balloon observations (Lawson et al. 2011; Sikand et al. 2013) • Dependence of vertical profiles on meteorology (e.g., shallow vs. synoptic clouds, Noh et al. 2013) • 3.2 Remote Sensing • Dual polarization radar to discriminate phase (Plummer et al. 2010) • Radar doppler spectra (Luke et al. 2010; Verlinde et al. 2013) to detect supercooled water • Liao and Meneghini (2013) dielectric constants computed for oblate and prolate spheroids • 3.3 Modeling • Studies of aerosol effects on models of mixed-phase clouds (Morrison et al. 2010; Zubler et al. 2011) • Influence of ice habit on glaciation and evolution (Sulia & Harrington 2011; Avramov and Harrington 2010) • Impact of aerosols on global modeling of mixed clouds (Storelvmo et al. 2011)

  8. 4. Remaining Unknowns and Uncertainties • 4.1 In-Situ • Discrimination between water/ice for smallest hydrometeors still difficult • Elimination of shattered artifacts from probes still requires care and caution • Fine spatial resolution observations required to determine spatial scale of mixing • Observations in greater range of aerosol concentrations/compositions & meteorology • 4.2 Remote Sensing • Definition of “mixed-phase cloud” still unclear • Estimation of IWC/TWC or IWP/TWP should be taken into account • 4.3 Modeling

More Related