globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2015JD024697
论文题名:
Roles of deep and shallow convection and microphysics in the MJO simulated by the Model for Prediction Across Scales
作者: Pilon R.; Zhang C.; Dudhia J.
刊名: Journal of Geophysical Research: Atmospheres
出版年: 2016
卷: 121, 期:18
起始页码: 10575
结束页码: 10600
语种: 英语
英文关键词: deep convection ; global model ; MJO ; modeling ; MPAS ; shallow convection
Scopus关键词: atmospheric general circulation model ; cloud microphysics ; cumulus ; deep sea ; Madden-Julian oscillation ; moisture transfer ; oceanic convection ; parameterization ; prediction ; shallow water ; troposphere ; Atlantic Ocean ; Atlantic Ocean (North) ; Indian Ocean
英文摘要: The November event of the Madden-Julian oscillation (MJO) during the Dynamics of North Atlantic Models (DYNAMO) field campaign was simulated using the global compressible nonhydrostatic Model for Prediction Across Scales with global coarse (60 and 15 km) and regional (the Indian Ocean) cloud-permitting (3 km) meshes. The purpose of this study is to compare roles of parameterized deep and shallow cumulus and microphysics in MJO simulations. Two cumulus schemes were used: Tiedtke and Grell-Freitas. The deep and shallow components of Tiedtke scheme can be turned on and off individually. The results reveal that microphysics alone (without cumulus parameterization) is able to produce strong signals of the MJO in precipitation with 3 km mesh and weak MJO signals with 15 km mesh. A shallow scheme (Tiedtke) along with microphysics strengthens the MJO signals but makes them less well organized on large scales. A deep cumulus scheme can either improve the large-scale organization of MJO precipitation produced by microphysics and shallow convection (Tiedtke) or impair them (Grell-Freitas). The deep scheme of Tiedtke cannot reproduce the MJO well without its shallow counterpart. The main role of shallow convection in the model is to transport moisture upward to the lower to middle troposphere. By doing so, it removes dry biases in the lower to middle troposphere, a distinct feature in simulations with weak or no MJO signals, and enhances total precipitation and diabatic heating produced by microphysics and deep cumulus schemes. Changing model grid spacing from 60 to 15 km makes a little difference in the model fidelity of reproducing the MJO. All roles of shallow convection in 15 km simulations with parameterized deep convection cannot be reproduced in 3 km simulations without parameterized deep convection. Results from this study suggest that we should pay more attention to the treatment of shallow convection and its connection to other parameterized processes for improving MJO simulations. In other words, a holistic approach should be taken that consider parameterization of shallow cumulus, microphysics, boundary layer, and deep cumulus as a whole for model improvement. ©2016. American Geophysical Union. All Rights Reserved.
资助项目: "Two anonymous reviewers provided constructive comments that helped improve an earlier version of the article. DOE provided the NERSC computing facilities for many simulations. High-resolution (50/3) simulations were carried out on NCAR's Yellowstone supercomputer, which is supported by the National Science Foundation. All data from all experiments in this project are freely available upon request to the first author and are located on NCAR's Yellowstone supercomputer. The ERA-Interim data set was obtained via the CISL Research Data Archive (http://rda.ucar.edu/). DYNAMO data are freely available on http://johnson.atmos.colostate.edu/dynamo/products/array_averages/index.html. This study was supported by a DOE/RGCM/ASR grant DE-SC0008568 and by a NSF Grant AGS-1450582.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62844
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: RSMAS, University of Miami, Coral Gables, FL, United States; NCAR, Boulder, CO, United States

Recommended Citation:
Pilon R.,Zhang C.,Dudhia J.. Roles of deep and shallow convection and microphysics in the MJO simulated by the Model for Prediction Across Scales[J]. Journal of Geophysical Research: Atmospheres,2016-01-01,121(18)
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