[1]王乙竹,王玮,黄剑钊,等.利用地形高度差对ERA5气温降尺度的方法研究[J].气象研究与应用,2023,44(02):33-38.[doi:10.19849/j.cnki.CN45-1356/P.2023.2.06]
　Wang yizhu,Wang Wei,Huang Jianzhao,et al.A methodological study of Downscaling of ERA5 Temperature Using Terrain Height Difference[J].Journal of Meteorological Research and Application,2023,44(02):33-38.[doi:10.19849/j.cnki.CN45-1356/P.2023.2.06]
点击复制

利用地形高度差对ERA5气温降尺度的方法研究()
分享到：

气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第44卷
期数:
2023年02期
页码:
33-38
栏目:
研究论文
出版日期:
2023-06-15

文章信息/Info

Title:
A methodological study of Downscaling of ERA5 Temperature Using Terrain Height Difference
作者:
王乙竹;  王玮;  黄剑钊;  景坤;  周坤论
广西壮族自治区气象技术装备中心, 南宁 530022
Author(s):
Wang yizhu;  Wang Wei;  Huang Jianzhao;  Jing kun;  Zhou kunlun
Guangxi Meteorological Technical Equipment Center, Nanning 530022, China
关键词:
气温降尺度; ERA5; 地形高度; 温度垂直递减率
Keywords:
temperature downscale; ERA5; terrain height; temperature lapse rate
分类号:
P467
DOI:
10.19849/j.cnki.CN45-1356/P.2023.2.06
摘要:
基于ERA5 2m气温数据(TERA),考虑地形高度对气温的影响,结合温度垂直递减率,开展了气温降尺度研究。利用广西91个国家观测站2021年1月-12月逐小时气温数据(Tsit)来验证该方法降尺度后气温(Tair)精度,对比探讨降尺度效果,并讨论Tair误差时空分布特征。结果表明:(1)全年Tsit与Tair有效匹配数据点的相关系数(R)为0.978,均方根误差(RMSE)为1.59℃,平均偏差(MB)为0.441℃。比TERA与Tsit的相关性高(R=0.974)、均方根误差小(RMSE=1.71℃)。(2)Tair细化地形对气温的影响,展示了很好的空间分布细节纹理,特别是海拔较高区域。(3)Tair误差有明显的时空变化特征,桂南精度高(RMSE<1.5℃,|MB|<1℃),桂东北、桂西北精度相对较低(RMSE>1.8℃,|MB|>1℃),秋季的精度(RMSE=1.54℃,MB=0.35℃)优于其他季节(RMSE>1.58℃,MB>0.38℃)。
Abstract:
Based on the 2m temperature data(TERA) of ERA5, the temperature downscaling research was carried out by considering the influence of terrain height on temperature and combining it with the temperature lapse rate. The hourly temperature data(Tsit) of 91 national observation stations in Guangxi from January to December 2021 were used to verify the accuracy of the method after temperature downscaling(Tair), to compare and explore the effects of downscaling, and to discuss the spatiotemporal distribution characteristics of Tair errors. The results show that:(1)The correlation coefficient(R) of annual between Tsit and Tair effectively matched data points was 0.978, the root mean square error (RMSE) was 1.59℃, and the average deviation(MB) was 0.441℃. The correlation was higher (R=0.974) and the root mean square error was smaller (RMSE=1.71℃) than those of TERA with Tsit.(2)Tair refined the impact of terrain on temperature, showing a good texture of spatial distribution details, especially in higher altitude regions.(3)Tair error showed obvious spatiotemporal variation characteristics, with high accuracy in southern Guangxi(RMSE<1.5℃,|MB|<1℃), relatively low accuracy in northeastern and northwestern Guangxi(RMSE>1.8℃,|MB|>1℃). The accuracy in autumn(RMSE=1.54℃, MB=0.35℃) is better than that in other seasons (RMSE>1.58℃, MB>0.38℃).

参考文献/References:

[1] ITAI K,FRANCESCO N,BRENT A C,et al. Predicting spatiotemporal mean air temperature using MODIS satellite surface temperature measurements across the Northeastern USA[J]. Remote Sensing of Environment, 2014,150(7):132-139.
[2] 朱浩楠, 刘晓冉, 李永华,等. 考虑地形的空间插值算法在复杂下垫面地区气温和降水精细化插值的评估[J]. 气象,2020,46(5):655-665.
[3] 游松财, 李军. 海拔误差影响气温空间插值误差的研究[J]. 自然资源学报, 2005,20(1):140-144.
[4] LOMPAR M,LALI?B,DEKI?L, et al. Filling gaps in hourly air temperature data using debiased ERA5 data[J]. Atmosphere, 2019, 10(1):13.
[5] 沈贝蓓, 宋帅峰, 张丽娟,等. 1981-2019年全球气温变化特征[J]. 地理学报, 2021, 76(11):2660-2672.
[6] 朱佳恒,祝善友,于法川,等.面向城区和山区的ERA5再分析地表温度降尺度[J].遥感学报,2021.25(8):1778-1791.
[7] 于法川, 祝善友, 张桂欣,等. 复杂山区地形条件下ERA5再分析地表气温降尺度方法[J]. 地球信息科学学报, 2022, 24(4):750-765.
[8] GERLITZ L. Using fuzzified regression trees for statistical downscaling and regionalization of near surface temperatures in complex terrain[J]. Theoretical & Applied Climatology, 2015, 122(1-2):337-352.
[9] JOHNSTON B R, RANDEL W J, SJOBERG J P. Evaluation of tropospheric moisture characteristics among COSMIC-2, ERA5 and MERRA-2 in the tropics and subtropics[J]. Remote Sensing, 2021,13(5):880.
[10] LAND G,FACILITY C. Shuttle Radar Topography Mission (SRTM) Technical Guide[J]. American Geophysical Union,2000,45(2):37-55.
[11] 张志富, 任芝花, 张强, 等. 自动站小时气温数据质量控制系统研究[J]. 气象与环境学报,2013,29(4):64-70.
[12] 任婧宇, 赵俊侠, 马红斌,等. 2015-2100年黄土高原四季气候变化的时空分布趋势预测[J].水土保持通报,2019.39(5):262-271.
[13] MOSIER T M, HILL D F, SHARP K V. 30-Arcsecond monthly climate surfaces with global land coverage[J]. International Journal of Climatology,2014,34(7):2175-2188.
[14] FANG J Y,Yoda K. Climate and vegetation in China(I). Changes in the altitudinal lapse rate of temperature and distribution of sea level temperature[J].Ecological Research,1988,3(1):37-51.
[15] 高路, 郝璐. ERA-Interim气温数据在中国区域的适用性评估[J]. 亚热带资源与环境学报,2014,9(2):75-81.
[16] 孟宪贵,郭俊建,韩永清.ERA5再分析数据适用性初步评估[J].海洋气象学报,2018,38(1):91-99
[17] 秦川,何洁琳,李艳兰,等.2021年广西气候概况[J].气象研究与应用,2022,43(1):84-89.
[18] 任梅芳,庞博,徐宗学,等.基于随机森林模型的雅鲁藏布江流域气温降尺度研究[J].高原气象,2018,37(5):1241-1253.
[19] 马新萍,白红英,郭帅,等.秦岭太白山气温垂直递减率研究[J].干旱区资源与环境,2017,31(7):139-144.
[20] 占龙飞,张传江,胡菊芳,等.基于DEM的复杂地形气温空间插值研究[J]. 气象与减灾研究, 2018,41(1):57-62.

备注/Memo

备注/Memo:
收稿日期:2022-9-15。
基金项目:广西壮族自治区气象技术装备中心自立项目"基于天元系统的地面气象观测业务可用性评估方法研究"
作者简介:王乙竹(1996-),女,硕士,助理工程师,主要从事装备运行保障、质控算法开发工作。E-mail:617575956@qq.com
通讯作者:周坤论(1994-),男,硕士,助理工程师,主要从事气象探测技术保障等工作。E-mail:980289314@qq.com
更新日期/Last Update: 1900-01-01