The Observational Precision of Domestic MWP967KV Ground-based Microwave Radiometer

Liu Xiaolu; Liu Dongsheng; Guo Lijun; Lei Lianfa; Feng Jinyan

doi:10.11898/1001-7313.20190609

Vol.30, NO.6, 2019

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Article Navigation > Journal of Applied Meteorological Science > 2019 > 30(6): 731-744

Liu Xiaolu, Liu Dongsheng, Guo Lijun, et al. The observational precision of domestic MWP967KV ground-based microwave radiometer. J Appl Meteor Sci, 2019, 30(6): 731-744. DOI: 10.11898/1001-7313.20190609.

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Liu Xiaolu, Liu Dongsheng, Guo Lijun, et al. The observational precision of domestic MWP967KV ground-based microwave radiometer. J Appl Meteor Sci, 2019, 30(6): 731-744. DOI: 10.11898/1001-7313.20190609.

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The Observational Precision of Domestic MWP967KV Ground-based Microwave Radiometer

DOI: 10.11898/1001-7313.20190609

1.
Heavy Rain and Drought-flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072
2.
Key Laboratory for Cloud Physics of China Meteorological Administration, Beijing 100081
3.
Xi'an Electronic Engineering Research Institute, Xi'an 710100
4.
Yibin Meteorological Bureau of Sichuan Province, Yibin 644000

Received Date: 2019-08-05
Rev Recd Date: 2019-10-09
Publish Date: 2019-11-01

Abstract

Abstract

MWP967KV ground-based microwave radiometer is an atmospheric microwave remote sensing equipment, which is jointly developed by institutes and universities in China with complete independent intellectual property rights. The microwave profiler includes 21 K-band (22-30 GHz) and 14 V-band (51-59 GHz) microwave channels. The radiometer receives radiation emitted by atmospheric oxygen, water vapor molecules and liquid water in multiple channels. The microwave, infrared and surface meteorological observations are automatically converted into continuous temperature, humidity and liquid profiles using radiative transfer equations and neural networks.In order to apply ground-based microwave radiometer MWP967KV in meteorological services, it is necessary to make comparative test analysis on its detection accuracy. The comparative test is carried out in the southern mountainous area of the Sichuan Basin from August 2015 to March 2018. The ground-based microwave radiometer MWP967KV is located at Yibin County station (28.7°N, 104.57°E) and radiosonde is located at Yibin Station (28.77°N, 104.6°E). The precision of microwave profilers and physical indexes in clear-sky, stratocumulus-sky and altocumulus-sky are analyzed and evaluated using radiosonde data as reference data and combining with ground precipitation data and cloud amount data.Results show that correlation coefficients of temperature, vapor density and relative humidity between radiometer and radiosonde in clear-sky, stratocumulus-sky and altocumulus-sky are 0.9890, 0.9665 and 0.5868, respectively, all passing 0.01 significant test. The correlation is more significant at the bottom than that in the upper air.The detection precision of temperature and relative humidity profile is obviously higher below clouds. The maximum deviation of water vapor density is on the ground and the deviation above 5 km height is close to 0.The fitted temperature profile is good, especially for high temperature. The fitted vapor density profile is also good, especially for low vapor density. However, the fitted relative humidity profile is not satisfying. For samples without temperature inversion layer, the precision of microwave profilers is higher and physical indexes are more accurate.There is no significant difference in correlation coefficient of the balloon drift distance to the deviation between radiometer and radiosonde for temperature, relative humidity and vapor density profiles under a wide range similar weather background, such as clear-sky and cloudy-sky.
- ground-based microwave radiometer;
- radiosondes;
- profile;
- precision

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References(37)

Figures and Tables

Fig. 1 The correlation coefficient between radiometer and radiosonde for temperature, relative humidity and vapor density profiles in clear-sky, stratocumulus-sky and altocumulus-sky (the thin solid lines denote 0.01 significant level)

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Fig. 2 The deviation, root mean square error between radiometer and radiosonde for temperature, relative humidity and vapor density in clear-sky

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Fig. 3 The same as in Fig. 2, but for stratocumulus-sky

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Fig. 4 The same as in Fig. 2, but for altocumulus-sky

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Fig. 5 Temperature, relative humidity and vapor density by radiometer and radiosonde in clear-sky

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Fig. 6 The same as in Fig. 5, but for stratocumulus-sky

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Fig. 7 The same as in Fig. 5, but for altocumulus-sky

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图 8 晴空、层积云和高积云天气条件下，气球飘移距离与温度、相对湿度和水汽密度偏差的相关系数

(细实线表示0.01显著性水平)

Fig. 8 The correlation coefficient of the balloon drift distance to the deviation between radiometer and radiosonde for temperature, relative humidity and vapor density in clear-sky, stratocumulus-sky and altocumulus-sky

(the thin solid lines denote 0.01 significant level)

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Table 1 Correlation coefficient, mean deviation, root mean square error between radiometer and radiosonde for temperature, relative humidity and vapor density in clear-sky, stratocumulus-sky and altocumulus-sky

参数	天气类型	相关系数	平均偏差	均方根误差
温度	晴空	0.9890	-1.5℃	3.3℃
	层积云	0.9909	-0.6℃	2.6℃
	高积云	0.9914	-0.3℃	2.5℃
相对湿度	晴空	0.7646	12%	21%
	层积云	0.7203	5%	22%
	高积云	0.5868	2%	22%
水汽密度	晴空	0.9770	0.09 g·m^-3	1.37 g·m^-3
	层积云	0.9749	0.16 g·m^-3	1.23 g·m^-3
	高积云	0.9665	0.30 g·m^-3	1.55 g·m^-3

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Table 2 Correlation coefficient, mean deviation, root mean square error between radiometer and radiosonde for different parameters in clear-sky, stratocumulus-sky and altocumulus-sky

间接参数	天气类型	相关系数	平均偏差	均方根误差
K指数	晴空	0.90	7.0℃	11.7℃
	层积云	0.85	5.1℃	9.5℃
	高积云	0.87	4.0℃	7.4℃
沙式指数	晴空	0.87	-0.1℃	3.7℃
	层积云	0.89	-2.5℃	4.3℃
	高积云	0.83	-0.8℃	3.6℃
抬升凝结温度	晴空	0.98	-1.1℃	2.1℃
	层积云	0.97	-0.6℃	1.9℃
	高积云	0.94	-0.4℃	2.2℃
0℃层高度	晴空	0.95	-452 m	600 m
	层积云	0.95	-182 m	521 m
	高积云	0.92	-43 m	447 m
-20℃层高度	晴空	0.82	-302 m	634 m
	层积云	0.90	-358 m	557 m
	高积云	0.90	-190 m	456 m
对流抑制有效位能	晴空	-0.14	-15 J·kg^-1	286 J·kg^-1
	层积云	0.12	4 J·kg^-1	110 J·kg^-1
	高积云	-0.07	62 J·kg^-1	160 J·kg^-1
湿对流有效位能	晴空	0.68	-82 J·kg^-1	401 J·kg^-1
	层积云	0.68	15 J·kg^-1	203 J·kg^-1
	高积云	0.61	-115 J·kg^-1	387 J·kg^-1
整层积分水汽含量	晴空	0.98	2.7 kg·m^-2	4.6 kg·m^-2
	层积云	0.99	2.4 kg·m^-2	3.9 kg·m^-2
	高积云	0.97	2.8 kg·m^-2	4.6 kg·m^-2

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Table 3 Mean deviation, root mean square error between radiometer and radiosonde for temperature, relative humidity and vapor density in clear-sky, stratocumulus-sky and altocumulus-sky without thermal inversion layer

参数	天气类型	平均偏差	均方根误差
温度	晴空	-0.4℃	1.9℃
	层积云	0.1℃	1.8℃
	高积云	1.2℃	2.5℃
相对湿度	晴空	10%	18%
	层积云	4%	18%
	高积云	-1%	18%
水汽密度	晴空	0.28 g·m^-3	1.25 g·m^-3
	层积云	0.30 g·m^-3	0.73 g·m^-3
	高积云	0.77 g·m^-3	1.36 g·m^-3

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Table 4 Mean deviation, root mean square error between radiometer and radiosonde for different parameters in clear-sky, stratocumulus-sky and altocumulus-sky without thermal inversion layer

间接参数	天气类型	平均偏差	均方根误差
	晴空	0.2℃	2.9℃
K指数	层积云	3.1℃	4.9℃
	高积云	0.6℃	1.2℃
	晴空	-0.6℃	2.3℃
沙式指数	层积云	-1.8℃	3.0℃
	高积云	1.3℃	2.8℃
	晴空	-1.1℃	1.1℃
抬升凝结温度	层积云	-0.7℃	1.6℃
	高积云	-0.2℃	0.7℃
	晴空	-186 m	451 m
0℃层高度	层积云	-234 m	450 m
	高积云	127 m	259 m
	晴空	-2 m	330 m
-20℃层高度	层积云	-66 m	342 m
	高积云	345 m	500 m
	晴空	274 J·kg^-1	293 J·kg^-1
对流抑制有效位能	层积云	55 J·kg^-1	78 J·kg^-1
	高积云	67 J·kg^-1	182 J·kg^-1
	晴空	-314 J·kg^-1	588 J·kg^-1
湿对流有效位能	层积云	-27 J·kg^-1	183 J·kg^-1
	高积云	-404 J·kg^-1	477 J·kg^-1
	晴空	4.1 kg·m^-2	4.8 kg·m^-2
整层积分水汽含量	层积云	3.0 kg·m^-2	3.1 kg·m^-2
	高积云	4.5 kg·m^-2	4.7 kg·m^-2

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