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Characterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations
Journal of Advances in Modeling Earth Systems ( IF 4.327 ) Pub Date : 2021-03-19 , DOI: 10.1029/2021ms002461
Y. L. Hwong, S. Song, S. C. Sherwood, A. J. Stirling, C. Rio, R. Roehrig, C. L. Daleu, R. S. Plant, D. Fuchs, P. Maher, L. Touzé‐Peiffer

Convection is usually parameterized in global climate models, and there are often large discrepancies between results obtained with different convection schemes. Conventional methods of comparing convection schemes using observational cases or directly in three‐dimensional (3D) models do not always clearly identify parameterization strengths and weaknesses. In this paper we evaluate the response of parameterizations to various perturbations rather than their behavior under particular strong forcing. We use the linear response function method proposed by Kuang (2010) to compare 12 physical packages in five atmospheric models using single‐column model (SCM) simulations under idealized radiative‐convective equilibrium conditions. The models are forced with anomalous temperature and moisture tendencies. The temperature and moisture departures from equilibrium are compared with published results from a cloud‐resolving model (CRM). Results show that the procedure is capable of isolating the behavior of a convection scheme from other physics schemes. We identify areas of agreement but also substantial differences between convection schemes, some of which can be related to scheme design. Some aspects of the model linear responses are related to their RCE profiles (the relative humidity profile in particular), while others constitute independent diagnostics. All the SCMs show irregularities or discontinuities in behavior that are likely related to threshold‐related mechanisms used in the convection schemes, and which do not appear in the CRM. Our results highlight potential flaws in convection schemes and suggest possible new directions to explore for parameterization evaluation.

中文翻译:

利用对趋向扰动的响应来表征对流方案

对流通常在全球气候模型中进行参数化,并且使用不同对流方案获得的结果之间通常存在很大差异。使用观测案例或直接在三维(3D)模型中比较对流方案的传统方法并不总是能够清楚地识别出参数化的优点和缺点。在本文中,我们评估了参数化对各种微扰的响应,而不是它们在特别强的强迫下的行为。我们使用Kuang(2010)提出的线性响应函数方法,在理想的辐射-对流平衡条件下,使用单列模型(SCM)模拟比较了五个大气模型中的12个物理包裹。这些模型具有异常的温度和湿度趋势。将温度和湿度偏离平衡状态与云解析模型(CRM)发布的结果进行比较。结果表明,该程序能够将对流方案的行为与其他物理方案隔离开来。我们不仅确定协议领域,还确定对流方案之间的实质性差异,其中一些可能与方案设计有关。模型线性响应的某些方面与其RCE曲线(特别是相对湿度曲线)有关,而其他方面则构成独立的诊断程序。所有SCM都显示出行为上的不规则或不连续性,这些不规则性或不连续性很可能与对流方案中使用的阈值相关机制有关,而在CRM中却没有出现。
更新日期:2021-05-04
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