...
首页> 外文期刊>Atmospheric Pollution Research >Sources of uncertainty in atmospheric dispersion modeling in support of Comprehensive Nuclear–Test–Ban Treaty monitoring and verification system
【24h】

Sources of uncertainty in atmospheric dispersion modeling in support of Comprehensive Nuclear–Test–Ban Treaty monitoring and verification system

机译:综合核试验条约监测和验证系统支持大气分散建模的不确定性源

获取原文
           

摘要

The uncertainty in the atmospheric transport and dispersion modeling (ATM), used in support of the Comprehensive Nuclear–Test–Ban Treaty (CTBT) monitoring and verification system, is a critical issue, and it may have political consequences. The uncertainty in ATM can be reduced, but it cannot be eliminated at all for many reasons: the impossibility of error-free measurements, the discretization of the continuous atmospheric flow in measuring and modeling, there is no analytical solution of Navier-Stokes equations which governs the atmospheric motion, the stochastic nature of the radioactive processes, and the ill-posedness of the inverse modeling. Therefore, our knowledge about the atmospheric state is incomplete and inexact. Thus, any representation of the atmospheric state is just an approximation of the unknown true state of the atmosphere, even if all available observations, the best data assimilation scheme, and the best coupled Earth-System models are used. Therefore, the quantification of the uncertainty should be an essential part of the operational ATM in CTBT's RN monitoring and verification procedures. The current work reviews the different sources of uncertainty included in these procedures, and it discusses the available methods to quantify these uncertainties regarding the current state-of-the-art and future development in the atmospheric modeling and data assimilation.
机译:用于支持全面核试验条约(CTBT)监测和验证系统的大气运输和分散建模(ATM)的不确定性是一个关键问题,可能会产生政治后果。 ATM中的不确定性可以减少,但由于许多原因,它根本无法消除:无差错测量的不可能性,测量和建模中的连续大气流量的离散化,没有Navier-Stokes方程的分析解决方案治理大气运动,放射性过程的随机性质,以及逆建模的不良姿势。因此,我们对大气状态的了解是不完整和不适的。因此,即使使用所有可用的观察,使用最佳数据同化方案和最佳耦合的地面系统模型,大气状态的任何表示的近似是大气的未知真实状态。因此,不确定性的量化应该是CTBT的RN监测和验证程序中运营ATM的重要组成部分。目前的工作审查了这些程序中包含的不同不确定性来源,并讨论了可用的方法,以量化关于当前最先进的和未来发展中的这些不确定性在大气建模和数据同化中的发展。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号