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An operational procedure for precipitable and cloud liquid water estimate in non-raining conditions over sea: study on the assessment of the nonlinear physical inversion algorithm

机译:海洋非雨条件下可贫地和云液水估计的操作程序:非线性物理反演算法评估研究

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In a previous work, an operative procedure to estimate precipitable and liquid water in non-raining conditions over sea was developed and assessed. The procedure is based on a fast non-linear physical inversion scheme and a forward model; it is valid for most of satellite microwave radiometers and it also estimates water effective profiles. This paper presents two improvements of the procedure: first, a refinement to provide modularity of the software components and portability across different computation system architectures; second, the adoption of the CERN MINUIT minimisation package, which addresses the problem of global minimisation but is computationally more demanding. Together with the increased computational performance that allowed to impose stricter requirements on the quality of fit, these refinements improved fitting precision and reliability, and allowed to relax the requirements on the initial guesses for the model parameters. The re-analysis of the same data-set considered in the previous papers showed an improvement of the consistency of the estimates from SSM/I and TMI radiometers and of the agreement with the statistical references. The described work confirmed the stability of the overall approach of the operative Procedure and prepared for new satellite generations (e.g. AMSR-E).
机译:在以前的工作中,开发并评估了估算海洋非雨条件下可降低和液态水的手术程序。该过程基于快速的非线性物理反演方案和前向模型;它对大多数卫星微波辐射仪有效,它还估计了水有效的曲线。本文提出了两个过程的改进:第一,改进,以提供不同计算系统架构的软件组件和可移植性的模块化;其次,采用了核桃矿井最小化包,这解决了全球最小化的问题,但是计算得更苛刻。随着允许对拟合质量施加更严格的要求的增加的计算性能,这些改进改善了拟合精度和可靠性,并允许放宽对模型参数的初始猜测的要求。在先前论文中考虑的相同数据集的重新分析表明,从SSM / I和TMI辐射仪和与统计参考的协议的估计的一致性提高了改善。所描述的工作证实了操作过程的总体方法的稳定性,并为新的卫星世代制备(例如AMSR-E)。

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