2000—2016年中国再分析辐射资料与观测值对比

王娟敏; 孙娴; 孙睿; 李兆明; 郭瑞玲; 何敏玲

doi:10.16032/j.issn.1004-4965.2020.066

2000—2016年中国再分析辐射资料与观测值对比

doi: 10.16032/j.issn.1004-4965.2020.066

王娟敏^{1, 3, 4},
孙娴^2, ,,
孙睿^{3, 4},
李兆明¹,
郭瑞玲⁵,
何敏玲⁵

1.
佛山市气象局佛山市龙卷风研究中心，广东佛山 528000
2.
陕西省气候中心，陕西西安710014
3.
遥感科学国家重点实验室，北京 100875
4.
北京师范大学地理学部，北京 100875
5.
南海区气象局，广东佛山 528200

基金项目:

国家重点研发计划 2017YFA0603002

国家自然科学基金 41471349

详细信息

通讯作者:
孙娴，女，江苏省人，研究员级高级工程师，从事气候变化和气候资源应用研究。E-mail：506594632@qq.com

中图分类号: P422
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- 被引次数: 0
出版历程
- 收稿日期: 2020-03-23
- 修回日期: 2020-10-18
- 刊出日期: 2020-12-01

COMPARISON OF REANALYSIS RADIATION DATA AND OBSERVATIONS IN CHINA FOR 2000—2016

Juan-min WANG^{1, 3, 4},
Xian SUN^{2
, ,},
Rui SUN^{3, 4},
Zhao-ming LI¹,
Rui-ling GUO⁵,
Min-ling HE⁵

1.
Foshan Meteorological Bureau Foshan Tornado Research Center, Foshan 528000, China
2.
Shaanxi Provincial Climate Center, Xi'an 710015, China
3.
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, China
4.
Beijing Engineering Research Center for Global and Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
5.
Meteorological Bureau of Nanhai District, Foshan 528200, China

摘要

摘要: 大气再分析辐射资料克服了传统的地面观测资料缺乏和台站分布不均的缺点，以及卫星遥感反演算法的适用性和传感器精度等问题，采用不同的模型对太阳辐射状况进行动态模拟，并结合实际观测数据对模型进行校正，建立了长时间序列和不同分辨率的数据产品。尽管目前再分析辐射产品评估已经有较多的研究，但是针对我国长时间序列太阳辐射变化的不同再分析辐射资料间的精度对比评估较少，尤其缺乏不同再分析辐射资料空间差异性研究。选取2000—2016年NCEP/DOE、ERA-Interim、GLDASV2.1三种不同空间分辨率的再分析辐射资料，通过对比三种资料与我国辐射观测数据的差异，对三种再分析辐射资料在空间分布和时间序列的适用性进行详细的精确度评估。结果表明，从年资料对比来看，2000—2016年中国区域NCEP辐射资料显著高于其他三种资料，与观测值平均偏差约为1 342.2 MJ/（m²a），东部地区高估现象严重。ERA辐射资料平均偏差为681.8 MJ/（m²a），中国西部、华北及华中地区高估严重。GLDAS辐射资料平均偏差最小为130.2 MJ/（m²a）。从月资料对比来看，三种再分析数据在夏秋季月份的精度比冬春季月份要高。冬半年，三种再分析资料在海拔>1 000 m的东北大兴安岭、西北和云南等地相对误差低于海拔 < 1 000 m的华北、华中、华东、西南和华南地区；但夏半年这种分布现象不明显。
- 太阳辐射 /
- 大气再分析资料 /
- 辐射观测站 /
- 长时间序列 /
- 精度评估
Abstract: The lack of traditional ground observational data and the uneven distribution of stations as well as the applicability of remote sensing inversion algorithm and sensor accuracy are solved by atmospheric reanalysis radiation data, which uses different models to simulate solar radiation conditions dynamically and establishes the long-term series products of different resolutions. Although there are many studies that evaluate the reanalysis of radiation products, there are few comparisons and evaluations of the accuracy of the radiation reanalysis data for different long-term solar radiation changes in China, and the research on the spatial difference of different radiation reanalysis data is especially meager. In the present study, three reanalysis radiation data of NCEP/DOE, ERA-Interim, GLDASV2.1 with different spatial resolutions and the observational data from 2000 to 2016 were compared and evaluated. The results suggested that the NCEP radiation data in China is significantly higher than the other three data, and the average deviation from the observed data is about 1?342.2 MJ/(m²a). The areas with severe overestimation are mainly located in the eastern region. The average deviation of ERA radiation data is 681.8 MJ/(m²a), which is seriously overestimated in western, northern and central China. The minimum average deviation of GLDAS radiation data is 130.2MJ/(m²a). The accuracy of the three reanalysis data in summer and autumn months is higher than that in winter and spring months. In winter half-year, the relative errors of the three reanalysis data in the Daxinganling region in northeastern China, northwestern China, and Yunnan where the altitude is greater than 1 000 m are lower than those in the areas where the altitude is less than 1 000 m; however, this phenomenon is not obvious in the summer.
- solar radiation /
- atmospheric reanalysis data /
- observed radiation data /
- long-term series /
- accuracy assessment

HTML全文

图 1 中国辐射观测站点分布图

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图 2 2000—2016年中国年平均太阳辐射观测值以及三种再分析数据空间分布图

a.辐射观测站数据插值结果；b. NCEP数据与观测数据偏差；c. ERA数据与观测数据偏差；d. GLDAS数据与观测数据偏差。

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图 3 2000—2016年中国区域年平均辐射观测值与NCEP、ERA和GLDAS估算值对比

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图 4 2000—2016年中国区域各年平均辐射观测值、NCEP、ERA和GLDAS估算值对比

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图 5 2000—2016年年平均辐射观测与三种再分析数据相对误差空间分布图

a.各辐射观测站年平均观测值与NCEP、ERA和GLDAS值相关性分析图；b. NCEP数据相对误差；c. ERA数据相对误差；d. GLDAS数据相对误差。

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图 6 NCEP、ERA、GLDAS及观测站2000—2016年月平均太阳总辐射

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图 7 2000—2016年代表月平均辐射观测与三种再分析数据误差对比空间分布图

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表 1 三种再分析资料主要参数

数据来源	时段/年	时间分辨率	空间分辨率
NCEP/DOE-2	2000—2016	月	1.9 °×1.9 °
ERA-Interim	2000—2016	月	0.75 °×0.75 °
GLDASV2.1	2000—2016	月	0.25 °×0.25 °

下载: 导出CSV

表 2 NCEP、ERA、GLDAS与观测站月平均太阳总辐射误差对比(%)

月份	1	2	3	4	5	6	7	8	9	10	11	12
NCEP	30.0	30.3	30.4	30.8	26.6	24.4	20.6	19.5	19.9	20.4	22.8	26.7
ERA	24.1	23.0	22.5	32.1	13.5	8.2	-5.6	5.1	8.2	12.2	14.2	8.9
GLDAS	10.7	7.3	5.2	4.1	0.8	-0.2	-1.6	-0.5	0.7	2.0	5.5	9.0

下载: 导出CSV

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