不同气象驱动下CLM4.5陆面模式对黄河流域蒸散发模拟表现评估

Evaluation of the Performances of CLM 4.5 in ET Simulation Driven by Different Meteorological Forcing Datasets over Yellow River Basin

气象驱动数据的质量会显著影响陆面模式的模拟表现。针对目前出现的多源气象数据集,选取GSWP3和WFDE5分别驱动CLM4.5陆面模式,对黄河流域地表蒸散发过程模拟,并结合多个评价指标从多个时空尺度评估模式表现。结果表明:相比于基准蒸散发,GSWP3和WFDE5模拟的多年平均蒸散发的RMSE值分别为61.5和49.5 mm/a,KGE值为0.83和0.87。时间上,模拟蒸散发和基准蒸散发均表现显著增加的趋势。空间上,两种气象驱动都在黄河中游表现最佳,黄河源区则存在不同程度高估。季节性上,GSWP3在春、冬季的模拟表现优于WFDE5,在夏、秋季的表现劣于GSWP3。综合分析,WFDE5驱动下CLM4.5的总体表现优于GSWP3。研究结论可为陆面模式蒸散发模块改进提供动力和方向。

The quality of meteorological dataset has a considerable impact on the performance of land surface models.Two meteorological datasets,GSWP3 and WFDE5,were used to drive the CLM4.5 to simulate the surface evapotranspiration process across the Yellow River Basin(YRB).The performance was systematically assessed applying various metrics based on multiple space-time scales.The RMSE of multi-year averaged simulated ET for GSWP3 and WFDE5 were 61.5 and 49.5 mm/a,and KGE values were 0.83 and 0.87 against reference ET,respectively.Temporally,both simulated ET and reference ET showed significant increasing trends.Spatially,the best performance of GSWP3 and WFDE5 occurred in the middle reaches of the YRB with the smallest relative errors,while the poorest performance occurred in the source area of the YRB.Seasonally,the GSWP 3 is superior to WFDE 5 in spring and winter,whereas WFDE 5 is superior to GSWP 3 in summer and autumn.Overall,the performance of CLM 4.5 driven by WFDE 5 was better than that of GSWP 3.The study can provide motivation and direction for the improvement of the ET module in land surface models.