用于增程预报的改进Kain–Fritsch对流方案

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Weather and Forecasting Pub Date : 2023-07-01 DOI:10.1175/waf-d-22-0183.1
J. Ridout
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引用次数: 0

摘要

本文描述了海军研究实验室开发的海军地球系统预测能力(ESPC)系统中的对流参数化,重点介绍了v2.0系统中的方案配置。该参数化是Ridout等人对Kain–Fritsch对流方案的修改的更新。基于云基准面上升气流地块浮力的假定准平衡。方案更新包括处理上升气流/环境混合和额外的上升气流模型特征,包括在近云向上运动显著的情况下参数化减少净沉降,以及修改云顶条件。该方案包括两种对流模式:湍流触发模式和动态触发模式。从2011年11月1日起,对麦登-朱利安振荡动力学(DYNAMO)研究计划观测期的一部分进行了45天的整合,研究了海军ESPC对该方案特征的后播敏感性,该观测期与MJO的两次发作重叠。修正后的上升气流混合对于MJO持续向东传播的后预报至关重要,而额外的上升气流更新显著改善了小规模降雨变化的表现,同时有助于抑制过度低水平东风流的发展。增加的湍流触发对流模式有助于改善MJO对流增强周期分离的表现。对赤道印度洋-太平洋地区对流云顶高度和柱状水汽的相对出现频率进行了反演,与卫星反演结果具有显著的相似性。这项研究描述了在海军研究实验室开发的预测模型中,用于表示地球系统计算机化45天全球预测中积云和积雨云(雷暴云)等对流云影响的方案,重点是目前正在测试供美国海军使用的版本。介绍了该方案的一些发展历史和物理基础,并包括测试模拟的结果。测试结果调查了该方案对各种特征的潜在预测敏感性,并表明该方案可以成功地代表对流云对热带大规模风暴系统的某些影响,这些影响对地球大气/海洋系统的大范围(数周)预测具有全球范围的影响。
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A Modified Kain–Fritsch Convection Scheme for Extended-Range Prediction
This paper describes the convection parameterization in the Navy Earth System Prediction Capability (ESPC) system developed at the Naval Research Laboratory, with a focus on the scheme configuration in the v2.0 system. The parameterization is an update of a modification of the Kain–Fritsch convection scheme by Ridout et al. based on an assumed quasi-balance of updraft parcel buoyancy at the cloud-base level. Scheme updates include the treatment of updraft/environment mixing and additional updraft model features, including a parameterized reduction in net detrainment in cases of significant near-cloud upward motion, and a modified cloud-top condition. The scheme includes two convection modes: a turbulence-triggered and a dynamically triggered mode. Hindcast sensitivity with Navy ESPC to features of the scheme is investigated with 45-day integrations from 1 November 2011 for a portion of the Dynamics of the Madden–Julian Oscillation (DYNAMO) research program observational period that overlaps with the occurrence of two episodes of the MJO. The modified updraft mixing is critical in the hindcasts for consistent MJO eastward propagation, whereas the additional updraft updates significantly improve the representation of small-scale rainfall variability, while helping to inhibit development of excessive low-level easterly flow. The added turbulence-triggered convection mode helps to improve the representation of the separation of periods of enhanced MJO convection. The relative occurrence frequency of convective cloud-top height and column water vapor in the equatorial Indo-Pacific is investigated in the hindcasts, showing significant similarities with satellite retrieval results. This study describes the scheme used to represent the effects of convective clouds such as cumulus and cumulonimbus (thunderstorm clouds) in computerized 45-day global forecasts of the Earth system in a forecast model developed at the Naval Research Laboratory, focusing on the version currently undergoing testing for use by the U.S. Navy. Some of the development history and physical basis for the scheme are presented, and results from test simulations are included. The test results investigate potential forecast sensitivity to various features of the scheme and illustrate that the scheme can successfully represent certain effects of convective clouds on large-scale storm systems in the tropics that have global-scale impacts on extended-range (several weeks) prediction of the Earth’s atmosphere/ocean system.
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来源期刊
Weather and Forecasting
Weather and Forecasting 地学-气象与大气科学
CiteScore
5.20
自引率
17.20%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Weather and Forecasting (WAF) (ISSN: 0882-8156; eISSN: 1520-0434) publishes research that is relevant to operational forecasting. This includes papers on significant weather events, forecasting techniques, forecast verification, model parameterizations, data assimilation, model ensembles, statistical postprocessing techniques, the transfer of research results to the forecasting community, and the societal use and value of forecasts. The scope of WAF includes research relevant to forecast lead times ranging from short-term “nowcasts” through seasonal time scales out to approximately two years.
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