The Joint Ensemble Forecast System (JEFS) Experiment

E. Kuchera, J. Cunningham, Scott A. Rentschler, S. Rugg, M. Sittel, M. Sestak, T. Holt, J. Hansen
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Abstract

The Joint Ensemble Forecast System (JEFS) Dedicated HPC Project Investment (DHPI) focuses on the creation and communication of environmental information in a timely, focused, useful, and reliable manner for the US Air Force and Navy. Currently, most environmental forecasts are created from a single best estimate analysis and forecast model. This deterministic process can provide imperfect results that result in large financial costs (extra fuel, weather damage or mission aborts). In this project, the ensemble-based approach of weather forecasting is used to improve forecast accuracy; reduce costs of defensive and offensive military scenarios impacted by inclement weather; and further the benefits of probabilistic forecasts to a variety of military applications. The project combines many model forecasts that start from different initial states of the atmosphere, that use different techniques for estimating how the atmosphere evolves over time, and that use different models provided by both the Navy (Fleet Numerical Meteorology and Oceanography Center) and Air Force (Air Force Weather Agency) numerical weather prediction centers to produce a joint ensemble. Ensemble member forecasts from two independently developed model systems are expected to better cover the range of potential atmospheric states, thus more completely representing the occurrences of greater or lesser forecast certainty. Experimental joint ensemble forecast products are already available on the AFWA web site (https://weather.afwa.af.mil/host_home/DNXM/JEFS/jefs.html), but operational products are not expected until late FY 2010 to early 2011. Most of the model development has been completed; ongoing work includes setting up real-time data exchanges across modeling centers, post processing to improve forecast reliability, and for production of mission specific products. Further work remains to educate decision makers about weather certainty—many expect a correct deterministic weather forecast and do not understand how to exploit probabilities. The additional computer resources provided by this DHPI have allowed more rapid development of the joint ensemble forecast system than would have occurred with the existing systems at AFWA and FNMOC.
联合集合预报系统(JEFS)试验
联合集成预报系统(JEFS)专用HPC项目投资(DHPI)侧重于为美国空军和海军以及时、集中、有用和可靠的方式创建和传播环境信息。目前,大多数环境预测都是由单一的最佳估计分析和预测模型创建的。这种确定性过程可能提供不完美的结果,导致巨大的财务成本(额外的燃料、天气损坏或任务中止)。本项目采用基于集合的天气预报方法提高预报精度;降低受恶劣天气影响的防御和进攻军事情景的成本;以及概率预测对各种军事应用的好处。该项目结合了许多模式预报,这些模式预报从不同的大气初始状态开始,使用不同的技术来估计大气如何随时间演变,并使用海军(舰队数值气象和海洋学中心)和空军(空军气象局)数值天气预报中心提供的不同模型来产生一个联合集合。来自两个独立开发的模式系统的整体成员预报预计将更好地覆盖潜在的大气状态范围,从而更完整地代表预报确定性或高或低的情况。实验联合集合预报产品已经在AFWA网站上提供(https://weather.afwa.af.mil/host_home/DNXM/JEFS/jefs.html),但实际产品预计要到2010财年末至2011财年初才能推出。大部分模型开发已经完成;正在进行的工作包括建立跨建模中心的实时数据交换,提高预测可靠性的后处理,以及针对特定任务产品的生产。进一步的工作仍然是教育决策者关于天气的确定性——许多人期望一个正确的确定性天气预报,而不知道如何利用概率。该DHPI提供的额外计算机资源使联合整体预报系统的发展比AFWA和FNMOC的现有系统更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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