Evaluating the Accuracy of a Gridded Near-Surface Temperature Dataset over Mainland China
文献类型: 外文期刊
第一作者: Qiu, Meijuan
作者: Qiu, Meijuan;Liu, Buchun;Liu, Yuan;Zhang, Yueying;Han, Shuai;Qiu, Meijuan;Liu, Buchun;Liu, Yuan;Zhang, Yueying;Han, Shuai;Qiu, Meijuan;Liu, Buchun;Liu, Yuan;Zhang, Yueying;Han, Shuai
作者机构:
关键词: climate trend; data evaluation; high-resolution meteorological dataset; root mean square error
期刊名称:ATMOSPHERE ( 影响因子:2.686; 五年影响因子:2.848 )
ISSN: 2073-4433
年卷期: 2019 年 10 卷 5 期
页码:
收录情况: SCI
摘要: High-resolution meteorological data products are crucial for agrometeorological studies. Here, we study the accuracy of an important gridded dataset, the near-surface temperature dataset from the 5 km x 5 km resolution China dataset of meteorological forcing for land surface modeling (published by the Beijing Normal University). Using both the gridded dataset and the observed temperature data from 590 meteorological stations, we calculate nine universal meteorological indices (mean, maximum, and minimum temperatures of daily, monthly, and annual data) and five agricultural thermal indices (first frost day, last frost day, frost-free period, and 0 degrees C and 10 degrees C active accumulated temperature, i.e., AAT0 and AAT10) of the 11 temperature zones over mainland China. Then, for each meteorological index, we calculate the root mean square errors (RMSEs), correlation coefficient and climate trend rates of the two datasets. The results show that the RMSEs of these indices are usually lower in the north subtropical, mid-subtropical, south subtropical, marginal tropical and mid-tropical zones than in the plateau subfrigid, plateau temperate, and plateau subtropical mountains zones. Over mainland China, the AAT0, AAT10, and mean and maximum temperatures calculated from the gridded data show the same climate trends with those derived from the observed data, while the minimum temperature and its derivations (first frost day, last frost day, and frost-free period) show the opposite trends in many areas. Thus, the mean and maximum temperature data derived from the gridded dataset are applicable for studies in most parts of China, but caution should be taken when using the minimum temperature data.
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