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Dependence of skill and spread of the ensemble forecasts on the type of perturbation and its relationship with long-term norms of precipitation and temperature
Acta Geophysica ( IF 2.0 ) Pub Date : 2020-08-12 , DOI: 10.1007/s11600-020-00467-4
Grzegorz Duniec , Andrzej Mazur

A new computing cluster has been operating since 2016 at the Institute of Meteorology and Water Management – National Research Institute. Increasing computing power enabled the implementation of ensemble prediction system forecasts in the operational mode and the use of a new computer for research purposes. As part of the priority project on “Study of Disturbances in the Representation of Modeling Uncertainty in Ensemble Development” and the earlier project entitled “COSMO Towards Ensemble in Km in Our Countries), implemented in the Working Group 7 (Predictability and Ensemble Methods) as part of the COSMO modeling consortium, specific studies were carried out to test ensemble forecasts. This research concerned the impact of variability of physical fields characterizing the soil surface (a selected parameter determining evaporation from the soil surface and soil surface temperature) using various methods of perturbation. Numerical experiments were completed for the warm period (from June to September) 2013.



中文翻译:

对预报类型的依赖和对预报类型分布的依赖及其与降水和温度长期规范的关系

自2016年以来,美国国家气象与水管理研究所一直在运行一个新的计算集群。计算能力的提高使整体预测系统的预测可以在操作模式下实施,并且可以将新计算机用于研究目的。作为“在集合开发中对不确定性进行建模研究中的扰动研究”优先项目和题为“我们的国家在Km中实现集合的COSMO”的较早项目的一部分,该项目在第7工作组(可预测性和集合方法)中作为作为COSMO建模联盟的一部分,进行了专门的研究以测试整体预报。这项研究涉及使用各种扰动方法表征土壤表面的物理场的变化性(决定土壤表面蒸发和土壤温度的选定参数)的影响。2013年温暖期(6月至9月)的数值实验已经完成。

更新日期:2020-08-12
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