An improvement of the retrieval of temperature and relative humidity profiles from a combination of active and passive remote sensing

doi:10.1007/s00703-018-0588-3

	An improvement of the retrieval of temperature and relative humidity profiles from a combination of active and passive remote sensing
	Che, Yunfei; Ma, Shuqing; Xing, Fenghua; Li, Siteng; Dai, Yaru
刊名	METEOROLOGY AND ATMOSPHERIC PHYSICS
	2019
卷号	131 期号:3 页码:681-695
ISSN号	0177-7971
DOI	10.1007/s00703-018-0588-3
英文摘要	This paper focuses on an improvement of the retrieval of atmospheric temperature and relative humidity profiles through combining active and passive remote sensing. Ground-based microwave radiometer and millimeter-wavelength cloud radar were used to acquire the observations. Cloud base height and cloud thickness determinations from cloud radar were added into the atmospheric profile retrieval process, and a back-propagation neural network method was used as the retrieval tool. Because a substantial amount of data are required to train a neural network, and as microwave radiometer data are insufficient for this purpose, 8 years of radiosonde data from Beijing were used as the database. The monochromatic radiative transfer model was used to calculate the brightness temperatures in the same channels as the microwave radiometer. Parts of the cloud base heights and cloud thicknesses in the training data set were also estimated using the radiosonde data. The accuracy of the results was analyzed through a comparison with L-band sounding radar data and quantified using the mean bias, root-mean-square error (RMSE), and correlation coefficient. The statistical results showed that an inversion with cloud information was the optimal method. Compared with the inversion profiles without cloud information, the RMSE values after adding cloud information reduced to varying degrees for the vast majority of height layers. These reductions were particularly clear in layers with clouds. The maximum reduction in the RMSE for the temperature profile was 2.2 K, while that for the humidity profile was 16%.
语种	英语
内容类型	期刊论文
源URL	[http://ir.nssc.ac.cn/handle/122/7069]
专题	国家空间科学中心_空间环境部
推荐引用方式 GB/T 7714	Che, Yunfei,Ma, Shuqing,Xing, Fenghua,et al. An improvement of the retrieval of temperature and relative humidity profiles from a combination of active and passive remote sensing[J]. METEOROLOGY AND ATMOSPHERIC PHYSICS,2019,131(3):681-695.
APA	Che, Yunfei,Ma, Shuqing,Xing, Fenghua,Li, Siteng,&Dai, Yaru.(2019).An improvement of the retrieval of temperature and relative humidity profiles from a combination of active and passive remote sensing.METEOROLOGY AND ATMOSPHERIC PHYSICS,131(3),681-695.
MLA	Che, Yunfei,et al."An improvement of the retrieval of temperature and relative humidity profiles from a combination of active and passive remote sensing".METEOROLOGY AND ATMOSPHERIC PHYSICS 131.3(2019):681-695.