Idealized Simulations of the Tropical Climate and Variability in the Single Column Atmosphere Model (SCAM): Radiative‐Convective Equilibrium
Idealized Simulations of the Tropical Climate and Variability in the Single Column Atmosphere Model (SCAM): Radiative‐Convective Equilibrium
复制标题
单柱大气模型 (SCAM) 中热带气候和变化的理想化模拟:辐射-对流平衡
DOI:
10.1029/2021ms002826
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发表时间:
2022
影响因子:
6.8
通讯作者:
Reed, Kevin A.
中科院分区:
文献类型:
--
作者:
Hu, I‐Kuan;Mapes, Brian E.;Tulich, Stefan N.;Neale, Richard B.;Gettelman, Andrew;Reed, Kevin A.
To explore the interactions among column processes in the Community Atmosphere Model (CAM), the single‐column version of CAM (SCAM) is integrated for 1000 days in radiative‐convective equilibrium (RCE) with tropical values of boundary conditions, spanning a parameter or configuration space of model physics versions (v5 vs. v6), vertical resolution (standard and 60 levels), sea surface temperature (SST), and some interpretation‐driven experiments. The simulated time‐mean climate is reasonable, near observations and RCE of a cyclic cloud‐resolving model. Updraft detrainment in the deep convection scheme produces distinctive grid‐scale structures in humidity and cloud, which also interact with radiative transfer processes. These grid artifacts average out in multi‐column RCE results reported elsewhere, illustrating the nuts‐and‐bolts interpretability that SCAM adds to the hierarchy of model configurations. Multi‐day oscillations of precipitation arise from descent of warm convection‐capping layers starting near the tropopause, eventually reset by a burst of convective deepening. Experiments reveal how these oscillations depend critically on an internal parameter that controls the number of neutral buoyancy levels allowed for determining cloud top and computing dilute convective available potential energy in the deep convection scheme, and merely modified a little by disabling cloud‐base radiation (heating of cloud base). This strong dependence of transient behavior in 1D on this parameter will be tested in the second part of this work, in which SCAM is coupled to a parameterized dynamics of two‐dimensional, linearized gravity wave, and in the 3D simulations in future study.
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影响因子:
8.9
作者:
D. Williamson
通讯作者:
D. Williamson
影响因子:
6.8
作者:
Wing AA;Stauffer CL;Becker T;Reed KA;Ahn MS;Arnold NP;Bony S;Branson M;Bryan GH;Chaboureau JP;De Roode SR;Gayatri K;Hohenegger C;Hu IK;Jansson F;Jones TR;Khairoutdinov M;Kim D;Martin ZK;Matsugishi S;Medeiros B;Miura H;Moon Y;Müller SK;Ohno T;Popp M;Prabhakaran T;Randall D;Rios-Berrios R;Rochetin N;Roehrig R;Romps DM;Ruppert JH Jr;Satoh M;Silvers LG;Singh MS;Stevens B;Tomassini L;van Heerwaarden CC;Wang S;Zhao M
通讯作者:
Zhao M
影响因子:
6.8
作者:
D. Williamson;J. Olson;C. Hannay;T. Toniazzo;M. Taylor;V. Yudin
通讯作者:
V. Yudin
DOI:
10.1029/2018jd030092
发表时间:
2019
期刊:
Journal of Geophysical Research: Atmospheres
影响因子:
--
作者:
C. Jakob;M. S. Singh;L. Jungandreas
通讯作者:
L. Jungandreas
影响因子:
6.8
作者:
K. Reed;Levi G. Silvers;A. Wing;I. Hu;B. Medeiros
通讯作者:
K. Reed;Levi G. Silvers;A. Wing;I. Hu;B. Medeiros