A 10-Yr Global Land Surface Reanalysis Interim Dataset (CRA-Interim/Land): Implementation and Preliminary Evaluation
A 10-Yr Global Land Surface Reanalysis Interim Dataset (CRA-Interim/Land): Implementation and Preliminary Evaluation
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DOI：
10.1007/s13351-020-9083-0
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发表时间：
2020-02
影响因子：
3.2
通讯作者：
X. Liang;Lipeng Jiang;Yang Pan;C. Shi;Zhiquan Liu;Zijiang Zhou
中科院分区：
文献类型：
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作者：
X. Liang;Lipeng Jiang;Yang Pan;C. Shi;Zhiquan Liu;Zijiang Zhou
涵盖最近几十年的地表再分析数据集能够为天气和气候模型提供时间上一致的初始条件，因此对于验证/改进数值天气/气候预报/预测至关重要。在本文中，我们报告了中国气象局（CMA）10年全球陆地表面再分析中期数据集（CRA-Interim/Land；2007-2016，6小时间隔，约34公里水平分辨率）的开发情况。该数据集是利用全球陆地资料同化系统（GLDAS）和NCEP气候预报系统再分析（CFSR）全球地表再分析数据集以及中国的实地观测数据制作和评估的。结果表明，CRA-Interim/Land、GLDAS和CFSR气候学的全球空间格局和月变化高度一致，而CRA-Interim/Land数据集的土壤湿度和温度值介于GLDAS和CFSR数据集之间。与中国地面观测相比，CRA-Interim/Land土壤湿度在0-10 cm土层上与GLDAS和CFSR数据集相当或更好，并且在10-40 cm土层上具有更高的相关性和略低的均方根误差（RMSE）。然而，CRA-Interim/Land 在中国东北和华中北部的 10-40 厘米土壤湿度方面显示出负偏差。对于不同层的地温和土壤温度，CRA-Interim/Land 的表现优于 CFSR，特别是在华东和华中地区。由于引入了全球降水观测和改进的土壤/植被参数，CRA-Interim/土地比 CRA-Interim 的土地部分增加了价值。因此，该数据集可能是 CRA-Interim 的重要补充。对 CRA-Interim/Land 的进一步评估、近地表大气强迫变量的同化以及将当前数据集扩展到 40 年（1979-2018）的工作正在进行中。
A land surface reanalysis dataset covering the most recent decades is able to provide temporally consistent initial conditions for weather and climate models, and thus is crucial to verifying/improving numerical weather/climate forecasts/predictions. In this paper, we report the development of a 10-yr China Meteorological Administration (CMA) global Land surface ReAnalysis Interim dataset (CRA-Interim/Land; 2007–2016, 6-h intervals, approximately 34-km horizontal resolution). The dataset was produced and evaluated by using the Global Land Data Assimilation System (GLDAS) and NCEP Climate Forecast System Reanalysis (CFSR) global land surface reanalysis datasets, as well as in situ observations in China. The results show that the global spatial patterns and monthly variations of the CRA-Interim/Land, GLDAS, and CFSR climatology are highly consistent, while the soil moisture and temperature values of the CRA-Interim/Land dataset are in between those of the GLDAS and CFSR datasets. Compared with ground observations in China, CRA-Interim/Land soil moisture is comparable to or better than that of GLDAS and CFSR datasets for the 0-10-cm soil layer and has higher correlations and slightly lower root mean square errors (RMSE) for the 10-40-cm soil layer. However, CRA-Interim/Land shows negative biases in 10-40-cm soil moisture in Northeast China and north of central China. For ground temperature and the soil temperature in different layers, CRA-Interim/Land behaves better than the CFSR, especially in East and central China. CRA-Interim/Land has added value over the land components of CRA-Interim due to the introduction of global precipitation observations and improved soil/vegetation parameters. Therefore, this dataset is potentially a critical supplement to the CRA-Interim. Further evaluation of the CRA-Interim/Land, assimilation of near-surface atmospheric forcing variables, and extension of the current dataset to 40 yr (1979–2018) are in progress.