DOI: 10.1002/jgrd.50564
论文题名: Evaluating cloud microphysics from NICAM against CloudSat and CALIPSO
作者: Hashino T. ; Satoh M. ; Hagihara Y. ; Kubota T. ; Matsui T. ; Nasuno T. ; Okamoto H.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 13 起始页码: 7273
结束页码: 7292
语种: 英语
英文关键词: active satellite measurements
; cloud microphysics
; global cloud-resolving model
; satellite data simulator
Scopus关键词: Clouds
; Ice
; Physics
; Reflection
; Satellites
; Sensors
; Signal reconstruction
; Simulators
; Snow
; Water content
; Active satellites
; Cloud microphysics
; Cloud resolving model
; Cloud-aerosol lidar and infrared pathfinder satellite observations
; Radar reflectivities
; Reflectivity values
; Satellite data
; Vertical coordinates
; Optical radar
; backscatter
; CALIPSO
; cloud microphysics
; CloudSat
; lidar
; magnitude
; satellite data
; statistical analysis
; water content
英文摘要: We describe a method to evaluate cloud microphysics simulated with a global cloud-resolving model against CloudSat and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite data. Output from the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) is run through a satellite-sensor simulator (Joint Simulator for Satellite Sensors), then directly compared to the radar and lidar signals from CloudSat and CALIPSO. The forward approach allows for consistency in cloud microphysical assumption involved in the evaluation. To investigate the dependence of the signals on the temperature, we use temperature extensively as the vertical coordinate. The global statistical analysis of the radar reflectivity shows that the simulation overestimates all the percentiles above -50°C and that snow category contributes significantly to low reflectivity values between -80 and -40°C. The simulated lidar signals have two modes associated with cloud ice and snow categories, though the observations have only one mode. The synergetic use of radar reflectivity and lidar backscatter enables us to determine the relative magnitudes of ice/liquid water contents and effective radii without use of retrievals. The radar-and-lidar diagnosis for cloud tops shows that, due to snow category, NICAM overestimates the mass-equivalent effective radius and underestimates ice water content. Also, the diagnosis was shown to be useful to investigate sensitivities of the parameters of bulk microphysical schemes on the water contents and sizes. The nonspherical scattering of ice particles was shown to affect the above radar-and-lidar diagnosis for large reflectivity ranges but not to alter most of the other diagnoses for this simulation. Key Points The cloud radar and lidar enable us to evaluate simulated clouds effectively ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63576
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Atmosphere and Ocean Research Institute, University of Tokyo, 5-1-5, Kashiwano-ha, Kashiwa-shi, Chiba, 277-8568, Japan; Research Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan; Japan Aerospace Exploration Agency, Tsukuba, Japan; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Recommended Citation:
Hashino T.,Satoh M.,Hagihara Y.,et al. Evaluating cloud microphysics from NICAM against CloudSat and CALIPSO[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(13)