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首页> 外文期刊>SOLA: Scientific Online Letters on the Atmosphere >Scheme-Based Optimization of Land Surface Model Using a Micro-Genetic Algorithm: Assessment of Its Performance and Usability for Regional Applications
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Scheme-Based Optimization of Land Surface Model Using a Micro-Genetic Algorithm: Assessment of Its Performance and Usability for Regional Applications

机译：基于方案的陆面模型的微遗传算法优化：对区域应用性能和可用性的评估

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References(35) Typical parameter calibration techniques in land surface models often limit to solve the spatiotemporal discrepancy of modeling performances due to high heterogeneity of land surface, especially for regional applications. We evaluated a coupling system of micro genetic algorithm (micro-GA) and the Noah land surface model with multi-physics options (Noah-MP) for its usability for regional applications. Four different regions having different climatic characteristics over East Asia were selected, and for each region Noah-MP provides two to four scheme options in eight scheme categories each of which represents different land surface processes, and the model was optimized through searching the best scheme combination by micro-GA. The optimization focused on the surface water balance, comparing model simulations of evapotranspiration and runoff with the European Centre for Medium-Range Weather Forecasts ERA-Interim land products. The optimizing process was controlled by micro-GA using natural selection and evolution techniques. This study demonstrated that the coupling system assures not only the effectiveness of the scheme-based optimization but also the skill of the used model diagnosis in quantifying model performance during the micro-GA evolution process. Since each region has its own advantageous scheme combination, multiple scheme-combinations are a possible solution for the spatiotemporal discrepancy of modeling performance.
机译：参考文献（35）地表模型中的典型参数校准技术通常会限制解决由于地表高度非均质性而导致的建模性能时空差异的问题，特别是对于区域应用而言。我们评估了微遗传算法（micro-GA）和具有多物理选项（Noah-MP）的Noah地表模型的耦合系统，以了解其在区域应用中的可用性。选择了四个在东亚具有不同气候特征的不同区域，Noah-MP为每个区域提供了八个方案类别中的两个到四个方案选项，每个方案代表了不同的地表过程，并且通过搜索最佳方案组合来对模型进行了优化。通过微GA。优化重点放在地表水平衡上，将蒸散和径流的模型模拟与欧洲中型天气预报中心ERA-Interim土地产品进行比较。优化过程是通过使用自然选择和进化技术的micro-GA控制的。这项研究表明，耦合系统不仅可以确保基于方案的优化的有效性，而且可以确保在微型GA进化过程中量化模型性能时所用模型诊断的技巧。由于每个区域都有其自己有利的方案组合，因此多种方案组合是解决建模性能时空差异的一种可能解决方案。

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