Assessing Impacts of PBL and Surface Layer Schemes in Simulating the Surface–Atmosphere Interactions and Precipitation over the Tropical Ocean Using Observations from AMIE/DYNAMO

IF 4 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Climate Pub Date : 2016-10-28 DOI:10.1175/JCLI-D-16-0040.1
Y. Qian, Huiping Yan, L. Berg, S. Hagos, Zhe Feng, Ben Yang, Maoyi Huang
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引用次数: 16

Abstract

AbstractAccuracy of turbulence parameterization in representing planetary boundary layer (PBL) processes and surface–atmosphere interactions in climate models is critical for predicting the initiation and development of clouds. This study 1) evaluates WRF Model–simulated spatial patterns and vertical profiles of atmospheric variables at various spatial resolutions and with different PBL, surface layer, and shallow convection schemes against measurements; 2) identifies model biases by examining the moisture tendency terms contributed by PBL and convection processes through nudging experiments; and 3) investigates the main causes of these biases by analyzing the dependence of modeled surface fluxes on PBL and surface layer schemes over the tropical ocean. The results show that PBL and surface parameterizations have surprisingly large impacts on precipitation and surface moisture fluxes over tropical oceans. All of the parameterizations tested tend to overpredict moisture in the PBL and free atmosphere and c...
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利用AMIE/DYNAMO观测资料评估PBL和表层方案对模拟热带海洋地面-大气相互作用和降水的影响
摘要在气候模式中,湍流参数化在表示行星边界层过程和地表-大气相互作用中的准确性对于预测云的形成和发展至关重要。本研究(1)评估了WRF模式模拟的大气变量在不同空间分辨率下、不同PBL、表层和浅层对流方案下的空间格局和垂直剖面;2)通过轻推实验,通过PBL和对流过程贡献的水汽趋势项识别模式偏差;3)通过分析模拟地表通量对热带海洋PBL和表层方案的依赖关系,探讨这些偏差的主要原因。结果表明,PBL和地表参数化对热带海洋降水和地表水分通量的影响非常大。所有测试的参数化都倾向于高估PBL和自由大气中的水分和c…
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来源期刊
Journal of Climate
Journal of Climate 地学-气象与大气科学
CiteScore
9.30
自引率
14.30%
发文量
490
审稿时长
7.5 months
期刊介绍: The Journal of Climate (JCLI) (ISSN: 0894-8755; eISSN: 1520-0442) publishes research that advances basic understanding of the dynamics and physics of the climate system on large spatial scales, including variability of the atmosphere, oceans, land surface, and cryosphere; past, present, and projected future changes in the climate system; and climate simulation and prediction.
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