气候变化领域集成服务门户(CCPortal): A Refined Atmospheric Weighted Average Temperature Model Considering Multiple Factors in the Qinghai-Tibet Plateau Region

CCPortal

DOI	10.3390/atmos14121760
	A Refined Atmospheric Weighted Average Temperature Model Considering Multiple Factors in the Qinghai-Tibet Plateau Region
	Tian, Kunjun; Xiong, Si; Wang, Zhengtao; Zhang, Bingbing; Han, Baomin; Guo, Bing
发表日期	2023
EISSN	2073-4433
卷号	14 期号:12
英文摘要	The Qinghai-Tibet Plateau region has significant altitude fluctuations and complex climate changes. However, the current global weighted average temperature (Tm) model does not fully consider the impact of meteorological and elevation factors on it, resulting in existing models being unable to accurately predict the Tm in the region. Therefore, this study constructed a weighted average temperature refinement model (XTm) related to surface temperature, water vapor pressure, geopotential height, annual variation, and semi-annual variation based on measured data from 13 radiosonde stations in the Qinghai-Tibet Plateau region from 2008 to 2017. Using the Tm calculated via the numerical integration method of radiosonde observations in the Qinghai-Tibet Plateau region from 2018 to 2019 as a reference value, the quality of the XTm model was tested and compared with the Bevis model and GPT2w (global pressure and temperature 2 wet) model. The results show that for 13 modeling stations, the bias and root-mean-square (RMS) values of the XTm model were -0.02 K and 2.83 K, respectively; compared with the Bevis, GPT2-1, and GPT2w-5 models, the quality of XTm was increased by 47%, 38%, and 47%, respectively. For the four non-modeling stations, the average bias and RMS values of the XTm model were 0.58 K and 2.78 K, respectively; compared with the other three Tm models, the RMS values and the mean bias were both minimal. In addition, the XTm model was also used to calculate the global navigation satellite system (GNSS) precipitable water vapor (PWV), and its average values for the theoretical RMSPWV and RMSPWV/PWV generated by water vapor calculation were 0.11 mm and 1.03%, respectively. Therefore, in the Qinghai-Tibet Plateau region, the XTm model could predict more accurate Tm values, which, in turn, is important for water vapor monitoring.
关键词	qinghai-tibet plateau region water vapor monitoring numerical integration method
英文关键词	DELAYS
WOS研究方向	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:001131487900001
来源期刊	ATMOSPHERE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/282621
作者单位	Shandong University of Technology; Hubei University of Science & Technology; Wuhan University; Xinyang Normal University
推荐引用方式 GB/T 7714	Tian, Kunjun,Xiong, Si,Wang, Zhengtao,et al. A Refined Atmospheric Weighted Average Temperature Model Considering Multiple Factors in the Qinghai-Tibet Plateau Region[J],2023,14(12).
APA	Tian, Kunjun,Xiong, Si,Wang, Zhengtao,Zhang, Bingbing,Han, Baomin,&Guo, Bing.(2023).A Refined Atmospheric Weighted Average Temperature Model Considering Multiple Factors in the Qinghai-Tibet Plateau Region.ATMOSPHERE,14(12).
MLA	Tian, Kunjun,et al."A Refined Atmospheric Weighted Average Temperature Model Considering Multiple Factors in the Qinghai-Tibet Plateau Region".ATMOSPHERE 14.12(2023).