4.4 Article

Evaluations of the Thermodynamic Phases of Clouds in a Cloud-System-Resolving Model Using CALIPSO and a Satellite Simulator over the Southern Ocean

Journal

JOURNAL OF THE ATMOSPHERIC SCIENCES
Volume 77, Issue 11, Pages 3781-3801

Publisher

AMER METEOROLOGICAL SOC
DOI: 10.1175/JAS-D-19-0273.1

Keywords

Satellite observations; Cloud parameterizations; Clouds; Model evaluation/performance; Nonhydrostatic models

Funding

  1. EarthCARE Program of the Earth Observation Research Center of JAXA
  2. Integrated Research Program for Advancing Climate Models (TOUGOU Grant) [JPMXD0717935457]
  3. Program for Risk Information on Climate Change (SOSEI)
  4. FLAGSHIP2020 within the priority study4 (Advancement of meteorological and global environmental predictions utilizing observational big data'')
  5. JSPS KAKENHI [JP17H06139, 20H01967]
  6. Grants-in-Aid for Scientific Research [20H01967] Funding Source: KAKEN

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A new evaluation method for the thermodynamic phases of clouds in cloud-system-resolving models is presented using CALIPSO observations and a satellite simulator. This method determines the thermodynamic phases using the depolarization ratio and a cloud extinction proxy. For the evaluation, we introduced empirical parameterization of the depolarization ratio of ice and water clouds using temperatures of a reanalysis dataset and total attenuated backscatters of CALIPSO. We evaluated the mixed-phase clouds simulated in a cloud-system-resolving model over the Southern Ocean using single-moment and double-moment bulk cloud microphysics schemes, referred to as NSW6 and NDW6, respectively. The NDW6 simulations reproduce supercooled water clouds near the boundary layer that are consistent with the observations. Conversely, the NSW6 simulations failed to reproduce such supercooled water clouds. Consistencies between the cloud classes diagnosed by the evaluation method and the simulated hydrometeor categories were examined. NDW6 shows diagnosed water and ice classes that are consistent with the simulated categories, whereas the ice category simulated with NSW6 is diagnosed as liquid water by the present method due to the large extinction from the ice cloud layers. Additional analyses indicated that ice clouds with a small effective radius and large ice water content in NSW6 lead to erroneous values for the fraction of the diagnosed liquid water. It is shown that the uncertainty in the cloud classification method depends on the details of the cloud microphysics schemes. It is important to understand the causes of inconsistencies in order to properly understand the cloud classification applied to model evaluations as well as retrievals.

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