中国农业气象

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雪深再分析资料在锡林浩特地区的适用性评价

王飞,朱仲元,郝祥云,宋海清,韩冬冬   

  1. 1.内蒙古农业大学水利与土木建筑工程学院,呼和浩特 010018;2.内蒙古自治区生态与农业气象中心,呼和浩特 010015
  • 出版日期:2019-02-20 发布日期:2019-02-16
  • 作者简介:王飞(1993?),硕士生,主要从事干旱区水资源可持续利用及规划研究。E-mail:625824965@qq.com
  • 基金资助:
    国家自然科学基金(51669018)

Applicability Evaluation of Snow Depth Reanalysis Data in Xilinhot and its Surrounding Areas

WANG Fei, ZHU Zhong-yuan, HAO Xiang-yun, SONG Hai-qing, HAN Dong-dong   

  1. 1. College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China; 2. Inner Mongolia Autonomous Region Center for Ecology and Agrometeorology, Hohhot 010015
  • Online:2019-02-20 Published:2019-02-16

摘要: 利用欧洲中期预报中心(ECMWF)提供的1981-2010年ERA-Interim全球再分析积雪资料和ERA Interim/Land陆面模式积雪资料(简称ERA-Land),以锡林浩特地区(锡林浩特、阿巴嘎旗、东乌珠穆沁旗、西乌珠穆沁旗、正蓝旗、多伦县、那仁宝力格、克什克腾旗)共8个国家气象台站的观测资料为标准,计算其与再分析资料的相关系数、平均偏差、标准差比等统计参数。结合线性变化对比及质量指数和Brunke排名法,综合评估雪深再分析资料在锡林浩特地区的适用性。结果表明:ERA-Interim、ERA-Land资料均能很好地再现研究区积雪深度的季节变化趋势,但锡林浩特及其以东站点较西部站点再现能力更强;ERA-Land资料的模拟效果更优,且具有很好的稳定性,其在包括锡林浩特的研究区北部站点较南部吻合度高,质量较好;ERA-Land资料在锡林浩特地区大部分站点有质量变好趋势,那仁站最明显,在锡林浩特以南的正蓝旗站、多伦县站呈现变差趋势,但变率很小;ERA-Land资料在东乌珠穆沁旗站排序结果最优,正蓝旗最差。

关键词: 锡林浩特, 积雪深度, 再分析资料, 适用性评估

Abstract: The snow cover data from 1981 to 2010 in the ERA-Interim global reanalysis and the ERA Interim/Land model (ERA-Land) were provided by the European Mid-term Forecasting Center (ECMWF). The observing datasets from 8 national meteorological stations surrounded by Xilinhot (including Xilinhaote, Dongwuzhumuqi, Xiwuzhumuqi, Zhenglanqi, Duolun County, Narenbaolig, and Keshiketengqi) were taken as a standard to calculate the correlation coefficient, average deviation, standard deviation ratio and other statistical parameters of the reanalysis data, which were combined with the linear change comparison and the quality index and the Brunke ranking method. The applicability of the snow depth reanalysis was comprehensively evaluated in Xilinhaote area. The results showed that both the ERA-Interirn and ERA-Land data performed the seasonal variation trend of snow depth in the study area well, however, the latter one gained better simulation results and good stability. Xilinhot and its east site were more reproducible than the western site; ERA-Land data had better simulation effect and good stability, and the northern stations had better consistency than the southern stations; ERA-Land data in most of Xilinhot area had a good quality trend, Naren Station was the most obvious, in Zhenglanqi Station south of Xilinhot, Duolun County Station showed a trend of variation, but the variation rate was very small; The ranking results were the best in east Wuzhuqinqi station and the worst in Zhenglan banner.

Key words: Xilinhot, Snow depth, Reanalysis data, Applicability assessment