globalchange  > 气候减缓与适应
DOI: 10.1002/2017JD027775
Scopus记录号: 2-s2.0-85045835676
论文题名:
Evolution of Precipitation Structure During the November DYNAMO MJO Event: Cloud-Resolving Model Intercomparison and Cross Validation Using Radar Observations
作者: Li X.; Janiga M.A.; Wang S.; Tao W.-K.; Rowe A.; Xu W.; Liu C.; Matsui T.; Zhang C.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期:7
起始页码: 3530
结束页码: 3555
语种: 英语
英文关键词: cloud-resolving model ; MJO ; model intercomparison ; precipitation structure ; radar ; validation
Scopus关键词: atmospheric convection ; climate modeling ; cloud ; echo sounding ; Madden-Julian oscillation ; model validation ; observational method ; precipitation (climatology) ; radar ; Indian Ocean ; Indian Ocean (Equatorial)
英文摘要: Evolution of precipitation structures are simulated and compared with radar observations for the November Madden-Julian Oscillation (MJO) event during the DYNAmics of the MJO (DYNAMO) field campaign. Three ground-based, ship-borne, and spaceborne precipitation radars and three cloud-resolving models (CRMs) driven by observed large-scale forcing are used to study precipitation structures at different locations over the central equatorial Indian Ocean. Convective strength is represented by 0-dBZ echo-top heights, and convective organization by contiguous 17-dBZ areas. The multi-radar and multi-model framework allows for more stringent model validations. The emphasis is on testing models' ability to simulate subtle differences observed at different radar sites when the MJO event passed through. The results show that CRMs forced by site-specific large-scale forcing can reproduce not only common features in cloud populations but also subtle variations observed by different radars. The comparisons also revealed common deficiencies in CRM simulations where they underestimate radar echo-top heights for the strongest convection within large, organized precipitation features. Cross validations with multiple radars and models also enable quantitative comparisons in CRM sensitivity studies using different large-scale forcing, microphysical schemes and parameters, resolutions, and domain sizes. In terms of radar echo-top height temporal variations, many model sensitivity tests have better correlations than radar/model comparisons, indicating robustness in model performance on this aspect. It is further shown that well-validated model simulations could be used to constrain uncertainties in observed echo-top heights when the low-resolution surveillance scanning strategy is used. ©2018. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114086
Appears in Collections:气候减缓与适应

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作者单位: GESTAR, Morgan State University/NASA Goddard Space Flight Center, Baltimore, MD, United States; Rosenstiel School of Marine & Atmospheric Science, University of Miami, Coral Gables, FL, United States; Cooperative Programs for the Advancement of Earth System Science, Now at University Corporation for Atmospheric Research, Boulder, CO, United States; Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; Department of Atmospheric Sciences, Colorado State University, Fort Collins, CO, United States; Department of Physical & Environmental Sciences, Texas A&M, University–Corpus Christi, Corpus Christi, TX, United States; ESSIC, University of Maryland/NASA Goddard Space Flight Center, College Park, MD, United States; NOAA Pacific Marine Environmental Laboratory, Seattle, WA, United States

Recommended Citation:
Li X.,Janiga M.A.,Wang S.,et al. Evolution of Precipitation Structure During the November DYNAMO MJO Event: Cloud-Resolving Model Intercomparison and Cross Validation Using Radar Observations[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(7)
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