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Recent Modifications of the Emanuel Convective Scheme in the Navy Operational Global Atmospheric Prediction System

机译:海军作战全球大气预测系统中的伊曼纽尔对流方案的最新修改

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The convective parameterization of Emanuel has been employed in the forecast model of the Navy Operational Global Atmospheric Prediction System (NOGAPS) since 2000, when it replaced a version of the relaxed Ar-akawa―Schubert scheme. Although in long-period data assimilation forecast tests the Emanuel scheme has been found to perform quite well in NOGAPS, particularly for tropical cyclones, some weaknesses have also become apparent. These weaknesses include underprediction of heavy-precipitation events, too much light precipitation, and unrealistic heating at upper levels. Recent research efforts have resulted in modifications of the scheme that are designed to reduce such problems. One change described here involves the partitioning of the cloud-base mass flux into mixing cloud mass flux at individual levels. The new treatment significantly reduces a heating anomaly near the tropopause that is associated with a large amount of mixing cloud mass flux ascribed to that region in the original Emanuel scheme. In another modification, the selection of the updraft source level is changed in a manner that takes into consideration the assumed connection between updraft mass flux and parcel buoyancy at cloud-base level in the Emanuel scheme. Test results suggest that the modified scheme may in some cases better represent precipitation during the middle and latter stages of convective events. The scheme has also been modified to eliminate cloud-top overshooting. The parameterization changes are supported in part by diagnostic tests, including semiprognostic model tests using observed data and single-column model tests using cloud-resolving-scale simulation data. The modifications showed significant positive impacts in forecast experiments over the original designs and have been implemented into the operational NOGAPS.
机译:自2000年以来,伊曼纽尔的对流参数化已用于海军作战全球大气预测系统(NOGAPS)的预测模型中,当时它替代了宽松的Ar-akawa-Schubert方案。尽管在长期数据同化预测测试中,发现以马内利方案在NOGAPS中表现良好,尤其是对于热带气旋,但也存在一些不足。这些弱点包括对强降水事件的预测不足,太少的降水以及高层的不切实际的加热。最近的研究成果导致对该方案的修改,旨在减少此类问题。此处描述的一项更改涉及将云量质量通量分配为各个级别的混合云量通量。新的处理方法大大减少了对流层顶附近的加热异常,该异常与原始伊曼纽尔方案中归因于该区域的大量混合云质量通量有关。在另一修改中,以考虑到以马内利方案中的云基水平上的上升气流质量通量和包裹浮力之间的假定联系的方式改变上升气流源水平的选择。测试结果表明,在某些情况下,修改后的方案可能更好地表示对流事件中期和后期的降水。该方案也已进行了修改,以消除云顶过冲。诊断测试部分支持参数化更改,包括使用观测数据的半预测模型测试和使用云分辨规模模拟数据的单列模型测试。这些修改在预测实验中显示出超过原始设计的显着积极影响,并且已在运营NOGAPS中实施。

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