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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Sensitivity Analysis of Leakage Correction of GRACE Data in Southwest China Using A-Priori Model Simulations: Inter-Comparison of Spherical Harmonics Mass Concentration and In Situ Observations
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Sensitivity Analysis of Leakage Correction of GRACE Data in Southwest China Using A-Priori Model Simulations: Inter-Comparison of Spherical Harmonics Mass Concentration and In Situ Observations

机译：基于A-Priori模型模拟的西南地区GRACE数据泄漏校正的敏感性分析：球谐函数质量浓度和原位观测的相互比较

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摘要

The Gravity Recovery and Climate Experiment (GRACE) level-2 spherical harmonic (SH) solutions are noisy and thus require filtering. Filtering reduces noise but affects signal quality via signal leakage. Generally, a leakage correction is required for GRACE applications to remove leakage signal and recover the true signal. Forward modelling based on some a priori information is a widely used approach for leakage correction of GRACE data. The a priori information generally relies on global hydrological model simulations. There are many global hydrological models and therefore it is of interest to explore how different global hydrology model simulations influence leakage correction results. This study investigated the sensitivity of three leakage correction methods (additive method, scaling factor method and multiplicative method) to five global hydrology model simulations (four models from the Global Land Data Assimilation System (GLDAS) and the WaterGAP Global Hydrology Model (WGHM)). The sensitivity analysis was performed with observational data in Southwest China and one sub-region, Guangxi. Results show that although large differences were identified among the five global model simulations, the additive and scaling factor methods are less affected by the choice of a priori model in comparison to the multiplicative approach. For the additive and scaling factor methods, WGHM outperforms the other four GLDAS models in leakage correction of GRACE data. GRACE data corrected with the multiplicative method shows the highest amount of error, indicating this method is not applicable for leakage correction in the study area. This study also assessed the level-3 mascon (mass concentration) solutions of GRACE data. The mascon-based results are nearly as good as the leakage corrected results based on SH solutions.
机译：重力恢复和气候实验（GRACE）的2级球谐（SH）解决方案比较嘈杂，因此需要过滤。滤波可以减少噪声，但会通过信号泄漏影响信号质量。通常，GRACE应用需要进行泄漏校正，以去除泄漏信号并恢复真实信号。基于某些先验信息的正向建模是广泛使用的GRACE数据泄漏校正方法。先验信息通常依赖于全球水文模型模拟。全球水文模型很多，因此有兴趣探讨不同的全球水文模型模拟如何影响渗漏校正结果。这项研究调查了三种泄漏校正方法（加法，比例因子法和乘法法）对五种全球水文模型模拟（来自全球土地数据同化系统（GLDAS）和WaterGAP全球水文模型（WGHM）的四种模型）的敏感性。 。利用西南地区和广西一分区的观测资料进行了敏感性分析。结果表明，尽管在五个全局模型仿真之间发现了很大的差异，但与乘法方法相比，先验模型的选择对加性和缩放因子方法的影响较小。对于加法和比例因子方法，WGHM在GRACE数据的泄漏校正方面优于其他四个GLDAS模型。用乘法方法校正的GRACE数据显示出最大的误差，表明该方法不适用于研究区域的泄漏校正。这项研究还评估了GRACE数据的3级质量（质量浓度）解决方案。基于质量的结果与基于SH解的泄漏校正结果几乎一样好。

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