基于径向基神经网络的地基微波辐射计反演算法研究

doi:10.3969/j.issn.1673-503X.2020.02.008

Abstract

Abstract:

Using observational data from a ground-based microwave radiometer at the Semi-Arid Climate and Environment Observatory (SACOL) of Lanzhou University and radiosonde data from the Yuzhong station in 2009 and 2010, a radial basis function neural network (RBFNN) algorithm was established for the inversion of air temperature, relative humidity, and water vapor density, and the application of this algorithm was explored throughout comparing the inversion results with the original products of the microwave radiometer.The results show that the maximum mean square root error is 2.72 K for air temperature, 22.32% for relative humidity, and 0.73 g·m^-3 for water vapor density, respectively, derived using the RBFNN method.The RBFNN inversion performs better than the original products of microwave radiometer at all observational heights and significantly improves profiles of air temperature at 2-10 km, relative humidity at 0-3 km, and water vapor at 1-7 km, respectively.Therefore, the RBFNN algorithm is recommended for the local inversion of meteorological variables based on a ground-based microwave radiometer.

Key words: Ground-based microwave radiometer, Radial basis function neural network, Temperature and humidity profile, Water vapor density

CLC Number:

P407.7

Xu FAN,Ying HUANG,Wen-nan LENG,Bei-dou ZHANG,Wen-yu ZHANG,Guo-yin WANG. Inversion of ground-based microwave radiometer measurements using radial basis function neural network[J]. Journal of Meteorology and Environment, 2020, 36(2): 62-69.

Figures/Tables 8

Table 1

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

References 32

1	郭丽君, 郭学良. 利用地基多通道微波辐射计遥感反演华北持续性大雾天气温、湿度廓线的检验研究[J]. 气象学报, 2015, 73 (2): 368- 381.
2	赵金霞, 范苏丹, 朱晓晶. 微波辐射计资料在大雾预报预警中的应用[J]. 沙漠与绿洲气象, 2015, 9 (3): 31- 35.
3	唐仁茂, 李德俊, 向玉春, 等. 地基微波辐射计对咸宁一次冰雹天气过程的监测分析[J]. 气象学报, 2012, 70 (4): 806- 813.
4	赵兵科, 邵德民, 鲁小琴, 等. 多通道地基微波辐射计在0713号"韦帕"台风登陆前后探测性能及特征分析[J]. 地球科学进展, 2009, 24 (9): 1001- 1008.
5	王叶红, 赖安伟, 赵玉春. 地基微波辐射计资料同化对一次特大暴雨过程影响的数值试验研究[J]. 暴雨灾害, 2010, 29 (3): 201- 207.
6	张秋晨, 龚佃利, 王俊, 等. 基于地基微波辐射计反演的济南地区水汽及云液态水特征[J]. 气象与环境学报, 2017, 33 (5): 35- 43.
7	朱元竞, 胡成达, 甄进明, 等. 微波辐射计在人工影响天气研究中的应用[J]. 北京大学学报:自然科学版, 1994, 30 (5): 597- 606.
8	黄治勇, 徐桂荣, 王晓芳, 等. 地基微波辐射资料在短时暴雨潜势预报中的应用[J]. 应用气象学报, 2013, 24 (5): 576- 584.
9	曲思邈, 李国春. 利用MODIS红外资料反演大气温湿度廓线的研究[J]. 气象与环境学报, 2012, 28 (3): 21- 24.
10	杨鹏, 陈静, 高祺, 等. 京津冀地区气溶胶光学厚度反演及其空间分布特征[J]. 气象与环境学报, 2017, 33 (3): 52- 58.
11	李晓岚, 刘旸, 栾健, 等. 基于BP人工神经网络法沈阳市PM_2。5质量浓度集成预报试验[J]. 气象与环境学报, 2018, 34 (2): 100- 106.
12	Cimini D, Westwater E R, Gasiewski A J, et al. Temperature and humidity profiling in the Arctic using millimeter-wave radiometry[C]// IEEE.2008 Microwave Radiometry and Remote Sensing of Environment.Firenze, Italy: IEEE, 2008.
13	Tan H B , Mao J T , Chen H H , et al. A study of a retrieval method for temperature and humidity profiles from microwave radiometer observations based on principal component analysis and stepwise regression[J]. Journal of Atmospheric & Oceanic Technology, 2011, 28 (3): 378- 389.
14	王云, 王振会, 李青, 等. 基于一维变分算法的地基微波辐射计遥感大气温湿廓线研究[J]. 气象学报, 2014, 72 (3): 570- 582.
15	Güldner J , Spänkuch D . Remote sensing of the thermodynamic state of the atmospheric boundary layer by ground-based microwave radiometry[J]. Journal of Atmospheric and Oceanic Technology, 2001, 18 (6): 925- 933.
16	黄兴友, 张曦, 冷亮, 等. 基于MonoRTM模型的微波辐射计反演方法研究[J]. 气象科学, 2013, 33 (2): 138- 145.
17	Solheim F , Godwin J R , Westwater E R , et al. Radiometric profiling of temperature, water vapor and cloud liquid water using various inversion methods[J]. Radio Science, 1998, 33 (2): 393- 404.
18	Cimini D , Hewison T J , Martin L , et al. Temperature and humidity profile retrievals from ground-based microwave radiometers during TUC[J]. Meteorologische Zeitschrift, 2006, 15 (1): 45- 56.
19	刘亚亚, 毛节泰, 刘钧, 等. 地基微波辐射计遥感大气廓线的BP神经网络反演方法研究[J]. 高原气象, 2010, 29 (6): 1514- 1523.
20	张北斗, 黄建平, 郭杨, 等. 地基12通道微波辐射计反演大气温湿廓线及估算雷达路径积分衰减[J]. 兰州大学学报:自然科学版, 2015, 51 (2): 193- 201.
21	鲍艳松, 钱程, 闵锦忠, 等. 利用地基微波辐射计资料反演0—10 km大气温湿廓线试验研究[J]. 热带气象学报, 2016, 32 (2): 163- 171.
22	Guo P, Wang K, Xin X. Autoencoder, low Rank approximation and pseudoinverse learning algorithm[C]//IEEE.2017 IEEE Interational Conference on Systems, Man and Cybernetics (CMC).Banff, AB, Canada: IEEE, 2017.
23	Moody J , Darken C J . Fast Learning in networks of locally-tuned processing units[J]. Neural Computation, 1989, 1 (2): 281- 294.
24	雷绍兰, 孙才新, 周湶, 等. 基于径向基神经网络和自适应神经模糊系统的电力短期负荷预测方法[J]. 中国电机工程学报, 2005, 25 (22): 78- 82.
25	彭显刚, 胡松峰, 吕大勇. 基于RBF神经网络的短期负荷预测方法综述[J]. 电力系统保护与控制, 2011, 39 (17): 144- 148.
26	姚志刚, 陈洪滨. 七通道微波辐射计遥感大气温度廓线的性能分析[J]. 气象科学, 2005, 25 (2): 133- 141.
27	王振会. 大气温度分布的地面微波遥感数值实验[J]. 南京气象学院学报, 1988, 11 (3): 346- 355.
28	赵玲, 马玉芬, 张广兴, 等. MP-3000A微波辐射计的探测原理及误差分析[J]. 沙漠与绿洲气象, 2009, 3 (5): 54- 57.
29	李建强, 李新生, 董文晓, 等. RPG-HATPRO微波辐射计反演的温度和湿度数据适用性分析[J]. 气象与环境学报, 2017, 33 (6): 89- 95.
30	张兴兰, 曹长修, 梅彬. 一种新型径向基函数神经网络学习算法—递归正交最小二乘法(ROLS)[J]. 重庆大学学报:自然科学版, 2002, 25 (10): 56- 60.
31	刘红燕. 三年地基微波辐射计观测温度廓线的精度分析[J]. 气象学报, 2011, 69 (4): 719- 728.
32	张培昌, 王振会. 大气微波遥感基础[M]. 北京: 气象出版社, 1995: 304- 343.

通道		1	2	3	4	5	6	7	8	9	10	11	12
B/K	剔除前	2.35	2.67	2.27	1.33	3.79	5.51	4.01	2.31	0.30	-0.94	-0.92	-1.01
B/K	剔除后	1.08	0.89	0.76	-0.95	1.07	1.03	0.39	1.32	0.38	-0.79	-0.77	-0.85
R/K	剔除前	14.24	13.06	11.85	14.04	13.91	17.69	14.98	5.41	0.79	1.04	1.02	1.12
R/K	剔除后	7.85	6.22	4.44	8.11	6.25	2.14	1.68	1.53	0.49	0.83	0.82	0.95

Inversion of ground-based microwave radiometer measurements using radial basis function neural network

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 32

Related Articles 1

Metrics

Comments

Recommended 0