EAR70、CLDAS和ERAInterim表层土壤温度在中国地区的评估
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国家重点研发计划(2018YFC1506601)资助


Evaluation of EAR70, CLDAS, and ERA-Interim Reanalysis Surface Soil Temperatures Across China
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    摘要:

    本文利用2010—2015年2400多国家气象站逐小时观测数据对覆盖中国的EAR70、CLDAS和ERAInterim 3种表层土壤温度进行了评估和对比。结果表明:空间上CLDAS表层土壤温度精度最高(平均误差为-0.5 ℃,均方根误差为3.0 ℃,相关系数为0.96),受益于CLDAS高精度的陆面初始场,EAR70平均误差得到了改善;时间上ERAInterim再分析表层土壤温度在6:00和夏、秋季精度会明显下降,再分析表层土壤温度在数值较高时段表现出冷偏差,原因是模拟的土壤温度数值上升速度慢,对应的参数化方案有待改进。再分析表层土壤温度在东北地区冬季存在冷偏差,可能和积雪覆盖有关,陆面参数化方案也有待提高。在地形复杂的青藏高原地区,融合地面观测的CLDAS提高了大气驱动的质量进而改进了土壤的模拟。ERAInterim分辨率较粗不适合在青藏高原或者沿海地区使用,结合了CLDAS的EAR70在青藏高原精度提高。土壤表层温度的精度随着高精度的土壤状态初始场进入模式中时间延长会显著下降。因此,CLDAS的实时同化方式,能够有效提高在分析数据的精度。

    Abstract:

    Based on hourly observations from more than 2400 national weather stations in 2010-2015, this paper evaluates and compares the surface soil temperatures of EAR70, CLDAS and ERAInterim. 〖JP2〗The main conclusions are: CLDAS surface soil temperature had the highest accuracy in space (ME was -0.5 ℃, 〖JP〗RMSE was 3.0 ℃, R was 0.96). EAR70 benefited from the initial land surface field with CLDAS’s highprecision ME improved. The accuracy of reanalysis surface soil temperature was significantly reduced at around 06:00 and in summer and autumn. Reanalysis surface soil temperature exhibited a cold deviation during the relatively highvalue period. The reason was that the simulated soil temperature value rose slowly, and the corresponding parameterization scheme needed to be modified. There was a cold deviation in the Northeast region where snow covered the ground in winter, which may be related to the snow cover. The land surface parameterization scheme needed to be improved. In the complex terrain of the QinghaiTibet Plateau, CLDAS, which integrated ground observations, performed a good precision in atmospheric forcing data and thus improved soil simulation. The resolution of ERAInterim was relatively coarse and not suitable for the QinghaiTibet Plateau or coastal areas. Benefitted from CLDAS’s soil states in good quality, the accuracy of EAR70 had been improved in the QinghaiTibet Plateau. The high accuracy of the soil state’s initial field decreased significantly following the time increased after observation entering the assimilation system. Therefore, the realtime assimilation method used in CLDAS can improve the accuracy of soil temperature signals effectively.

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单帅,师春香,沈润平,白磊. EAR70、CLDAS和ERAInterim表层土壤温度在中国地区的评估[J].气象科技,2021,49(6):830~837

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历史
  • 收稿日期:2020-09-01
  • 定稿日期:2021-08-25
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  • 在线发布日期: 2021-12-29
  • 出版日期: 2021-12-31
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