气候变化领域集成服务门户(CCPortal): Comparison of Conventional and Constrained Variational Methods for Computing Large-Scale Budgets and Forcing Fields

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DOI	10.1029/2021JD035183
	Comparison of Conventional and Constrained Variational Methods for Computing Large-Scale Budgets and Forcing Fields
	Ciesielski P.E.; Johnson R.H.; Tang S.; Zhang Y.; Xie S.
发表日期	2021
ISSN	2169-897X
卷号	126 期号:16
英文摘要	Analyses of atmospheric heat and moisture budgets serve as an effective tool to study convective characteristics over a region and to provide large-scale forcing fields for various modeling applications. This paper examines two popular methods for computing large-scale atmospheric budgets: the conventional budget method (CBM) using objectively gridded analyses based primarily on radiosonde data and the constrained variational analysis (CVA) approach which supplements vertical profiles of atmospheric fields with measurements at the top of the atmosphere and at the surface to conserve mass, water, energy, and momentum. Successful budget computations are dependent on accurate sampling and analyses of the thermodynamic state of the atmosphere and the divergence field associated with convection and the large-scale circulation that influences it. Utilizing analyses generated from data taken during Dynamics of the Madden-Julian Oscillation (DYNAMO) field campaign conducted over the central Indian Ocean from October to December 2011, we evaluate the merits of these budget approaches and examine their limitations. While many of the shortcomings of the CBM, in particular effects of sampling errors in sounding data, are effectively minimized with CVA, accurate large-scale diagnostics in CVA are dependent on reliable background fields and rainfall constraints. For the DYNAMO analyses examined, the operational model fields used as the CVA background state provided wind fields that accurately resolved the vertical structure of convection in the vicinity of Gan Island. However, biases in the model thermodynamic fields were somewhat amplified in CVA resulting in a convective environment much weaker than observed. © 2021. American Geophysical Union. All Rights Reserved.
英文关键词	DYNAMO; forcing fields; large-scale atmospheric budgets; limitations; methodologies; strengths
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/237063
作者单位	Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States; Pacific Northwest National Laboratory, Richland, WA, United States; Lawrence Livermore National Laboratory, Livermore, CA, United States
推荐引用方式 GB/T 7714	Ciesielski P.E.,Johnson R.H.,Tang S.,et al. Comparison of Conventional and Constrained Variational Methods for Computing Large-Scale Budgets and Forcing Fields[J],2021,126(16).
APA	Ciesielski P.E.,Johnson R.H.,Tang S.,Zhang Y.,&Xie S..(2021).Comparison of Conventional and Constrained Variational Methods for Computing Large-Scale Budgets and Forcing Fields.Journal of Geophysical Research: Atmospheres,126(16).
MLA	Ciesielski P.E.,et al."Comparison of Conventional and Constrained Variational Methods for Computing Large-Scale Budgets and Forcing Fields".Journal of Geophysical Research: Atmospheres 126.16(2021).