Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1073/pnas.1719842115 |
GoAmazon2014/5 campaign points to deep-inflow approach to deep convection across scales | |
Schiro, Kathleen A.1,2; Ahmed, Fiaz1; Giangrande, Scott E.3; Neelin, J. David1 | |
2018-05-01 | |
发表期刊 | PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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ISSN | 0027-8424 |
出版年 | 2018 |
卷号 | 115期号:18页码:4577-4582 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | A substantial fraction of precipitation is associated with meso-scale convective systems (MCSs), which are currently poorly represented in climate models. Convective parameterizations are highly sensitive to the assumptions of an entraining plume model, in which high equivalent potential temperature air from the boundary layer is modified via turbulent entrainment. Here we show, using multiinstrument evidence from the Green Ocean Amazon field campaign (2014-2015; GoAmazon2014/5), that an empirically constrained weighting for inflow of environmental air based on radar wind profiler estimates of vertical velocity and mass flux yields a strong relationship between resulting buoyancy measures and precipitation statistics. This deep-inflow weighting has no free parameter for entrainment in the conventional sense, but to a leading approximation is simply a statement of the geometry of the inflow. The structure further suggests the weighting could consistently apply even for coherent inflow structures noted in field campaign studies for MCSs over tropical oceans. For radar precipitation retrievals averaged over climate model grid scales at the GoAmazon2014/5 site, the use of deep-inflow mixing yields a sharp increase in the probability and magnitude of precipitation with increasing buoyancy. Furthermore, this applies for both mesoscale and smaller-scale convection. Results from reanalysis and satellite data show that this holds more generally: Deep-inflow mixing yields a strong precipitation-buoyancy relation across the tropics. Deep-inflow mixing may thus circumvent inadequacies of current parameterizations while helping to bridge the gap toward representing mesoscale convection in climate models. |
英文关键词 | tropical precipitation moist convection mesoscale convective system convective parameterization entrainment |
领域 | 地球科学 ; 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000431119600038 |
WOS关键词 | OCEAN AMAZON GOAMAZON2014/5 ; AIRBORNE DOPPLER RADAR ; COLUMN WATER-VAPOR ; CLIMATE MODELS ; PRECIPITATING CONVECTION ; TROPICAL CONVECTION ; TRANSILIENT MATRIX ; MOIST CONVECTION ; WESTERN PACIFIC ; PARAMETERIZATION |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/204906 |
专题 | 地球科学 资源环境科学 气候变化 |
作者单位 | 1.Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA; 2.CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA; 3.Brookhaven Natl Lab, Environm & Climate Sci Dept, Upton, NY 11967 USA |
推荐引用方式 GB/T 7714 | Schiro, Kathleen A.,Ahmed, Fiaz,Giangrande, Scott E.,et al. GoAmazon2014/5 campaign points to deep-inflow approach to deep convection across scales[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2018,115(18):4577-4582. |
APA | Schiro, Kathleen A.,Ahmed, Fiaz,Giangrande, Scott E.,&Neelin, J. David.(2018).GoAmazon2014/5 campaign points to deep-inflow approach to deep convection across scales.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,115(18),4577-4582. |
MLA | Schiro, Kathleen A.,et al."GoAmazon2014/5 campaign points to deep-inflow approach to deep convection across scales".PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 115.18(2018):4577-4582. |
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