[1]海日古丽·纳麦提,玉素甫江·如素力*,玛地尼亚提·地里夏提,等.ERA-Interim和GHCN-CAM再分析气温数据在天山山区的适应性分析[J].山地学报,2019,(04):613-621.[doi:10.16089/j.cnki.1008-2786.000452]
　HAIRIGULI Namaiti,YUSUFUJIANG Rusuli*,MADINIYATI Dilixiati,et al.Adaptability Analysis of ERA-Interim and GHCN-CAM Reanalyzed Data Temperature Values in Tianshan Mountains Area,China[J].Mountain Research,2019,(04):613-621.[doi:10.16089/j.cnki.1008-2786.000452]
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ERA-Interim和GHCN-CAM再分析气温数据在天山山区的适应性分析()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2019年04期
页码:
613-621
栏目:
山地技术
出版日期:
2019-07-30

文章信息/Info

Title:
Adaptability Analysis of ERA-Interim and GHCN-CAM Reanalyzed Data Temperature Values in Tianshan Mountains Area,China
文章编号:
1008-2786-(2019)4-613-09
作者:
海日古丽·纳麦提1; 2; 玉素甫江·如素力1*; 玛地尼亚提·地里夏提1; 肉克亚木·艾克木1
1.新疆师范大学 地理科学与旅游学院/流域信息集成与生态安全实验室,乌鲁木齐 830054; 2.新疆干旱区湖泊环境与资源重点实验室,乌鲁木齐 830054
Author(s):
HAIRIGULI Namaiti1; 2;  YUSUFUJIANG Rusuli1*;  MADINIYATI Dilixiati1;  ROUKEYAMU Aikemu1
1. College of Geographical Science and Tourism/ Laboratory of Watershed Information Integration and Ecological Security, Xinjiang Normal University, ürümqi 830054, China; 2. Xinjiang Laboratory of Lake Environment and Resources in Arid Zone, ürümqi 830054, China
关键词:
天山山区;  再分析数据;  ERA-Interim;  CHCN-CAM;  气温
Keywords:
Tianshan Mountains;  reanalysis data;  ERA-Interim;  CHCN-CAM;  temperature
分类号:
P468~A
DOI:
10.16089/j.cnki.1008-2786.000452
摘要:
天山山区是新疆主要河流的发源地,对该区域再分析气温数据进行适应性分析具有重要的研究意义,气温观测数据由于受到太阳辐射、海拔、大气环流和传感器角度等因素的影响,导致诸多误差; 在其应用之前需要验证,尤其在海拔差异较大的天山山区。为验证ERA-Interim和GHCN-CAM两种再分析气温数据在天山山区的适应性,本文在数据预处理的基础上,利用45个气象站点日平均气温数据分别计算偏差(BIAS)、相关系数(R)、均方根误差(RMSE)等统计指标,并从不同海拔、偏差的空间分布上对天山山区1984-2016年ERA-Interim和GHCN-CAM逐月平均气温数据进行了适应性分析。结果表明:(1)GHCN-CAM(R=0.94; BIAS=0.55 ℃; RMSE=4.08 ℃)气温值在天山山区的适应性强于ERA(R=0.95; BIAS=2.35 ℃; RMSE=4.21 ℃)。(2)在气温的年内变化上,两种再分析数据值均低于观测值,表现为低估。(3)在季节尺度上,冬季(12月、1月和2月)表现为冷偏差,其他季节暖偏差。春秋两季模拟精度比夏冬两季高。(4)在1500～2000 m地区气温的模拟最好。从偏差的空间分布来看,天山中部、东部的再分析数据比天山南、北部能更好的反映气温的空间分布特征。山区地形复杂度和气象站点的不均匀是影响再分析数据精度的主要因素。
Abstract:
Accuracy evaluation of reanalysis data in Tianshan Mountains has important research significance. In this paper, adaptability evaluation of ERA-Interim and GHCN-CAM air temperate data and its error spatiotemporal distribution characteristics were analyzed by means of calculating bias, correlation coefficient(R)and root mean square error(RMSE)with the observed 45 metrological station data during 1984-2016 in Tianshan Mountains area. Research results showed that:(1)The temperature of GHCN-CAM(R=0.94; BIAS=0.55 ℃; RMSE=4.08 ℃)was more adaptable than ERA-Interim(R=0.95; BIAS=2.35 ℃; RMSE=4.21 ℃)in the Tianshan Mountains;(2)ERA-Interim and GHCN-CAM air temperate underestimated air temperate comparing with observed data in the annual variations;(3)At the seasonal scale, air temperature based on reanalysis data highlighted that cold bias occurred in the winter(December, January, February), when other seasons took place warm bias. Estimation accuracy in spring and autumn were higher than summer and winter;(4)The estimation result of reanalyzed data was best between 1500 and 2000 meter in altitude. In terms of estimation error spatiotemporal distribution, the estimated air temperate in middle and east part of could best reflect the spatiotemporal distribution of actual air temperate than southern and northern part Tianshan Mountains. The terrain complexity and heterogeneous distribution of metrological stations were main effecting factors on accuracy of reanalyzed air temperate.

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备注/Memo

备注/Memo:
收稿日期(Received date):2018-7-21; 改回日期(Accepted date): 2019-05-21
基金项目(Foundation item):国家自然科学基金项目(41764003,U1703341)。[National Nature Science Foundation of China(41764003,U1703341)]
作者简介(Biography):海日古丽·纳麦提(1995-),女,新疆喀什人,硕士研究生,主要研究方向:资源环境遥感。[HAIRIGULI Namaiti(1995-), female, born in Kashi, Xinjiang, M. Sc. candidate, research on resource environment remote sensing] E-mail: 1219930539@qq.com
更新日期/Last Update: 2019-07-30