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Evaluation of a Linear Phase Observation Operator with CHAMP Radio Occultation Data and High-Resolution Regional Analysis

机译:利用CHAMP无线电掩星数据和高分辨率区域分析评估线性相位观测算符

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摘要

In this study a nonlocal, linear observation operator for assimilating radio occultation data is evaluated. The operator consists of modeling the excess phase, that is, integrating the refractivity along straight lines tangent to rays, below a certain height. The corresponding observable is the excess phase integrated through the Abel-retrieved refractivity, along the same lines, below the same height. The operator allows very simple implementation (computationally efficient) while accurately accounting for the horizontal refractivity gradients. This is due to significant cancellation of the linearization and discretization errors when modeling the observable. Evaluation of the operator with Challenging Minisatellite Payload (CHAMP) radio occultation data and grid refractivity fields from high-resolution regional analysis over the continental United States showed reduction of the observation error in the troposphere (below 7 km) 1.5-2 times, compared to the error of local refractivity. The operator is useful for the assimilation of radio occultation data by high-resolution weather models in the troposphere.
机译:在这项研究中,评估了用于吸收无线电掩星数据的非局部线性观测算子。算子包括对多余的相位进行建模,即在一定高度以下沿与光线相切的直线积分折射率。相应的可观察到的是在相同高度以下,同一高度以下通过Abel提取的折射率积分的过量相。运算符允许非常简单的实现(计算效率高),同时可以精确计算出水平折射率梯度。这是由于在对可观察对象建模时,线性化和离散化误差的显着抵消。通过对具有挑战性的微型卫星有效载荷(CHAMP)无线电掩星数据和来自美国大陆的高分辨率区域分析的网格折射场进行的评估,与对流层相比,对流层(7 km以下)的观测误差降低了1.5-2倍本地折射率的错误。该运算符对于通过对流层中的高分辨率天气模型吸收无线电掩星数据很有用。

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