微波辐射计反演大气温湿度廓线与降水相关性分析

doi:10.3969/j.issn.1673-503X.2020.06.012

Abstract

Abstract:

By using the QFW-6000 ground-based microwave radiometer in Fuxin Mongolian autonomous county in Liaoning province and its nearby sounding data, the retrieval accuracy of the microwave radiometer was evaluated, and the changing characteristics of the integrated cloud liquid water content (IIW), the integrated total water vapor content (TWV) and precipitation were analyzed.The results show that the inversion parameters of the microwave radiometer are significantly correlated with those of the sounding data.The retrieved relative humidity is generally greater than that of the sounding data, and the inversion errors of relative humidity in the near ground and the upper layer are both within 5%.Based on the statistical analysis of the IIW and precipitation, it is found that the IIW increases steeply and rapidly to more than 1 mm before the start of precipitation and remains above 2 mm as the precipitation continues, then quickly drops back below 0.2 mm with the end of the precipitation.The IIW and TWV in turn decrease in order of rainy days, cloudy days, and clear sky.Meanwhile, the TWV has a similar vertical structure under different weathers, and all show a decreasing trend with height increasing.In addition, the lapse rate of water vapor content is relatively smaller at a high altitude and larger in the near-surface layer.Besides, the vertical distribution structures of the IIW in the cloudy sky and the clear sky are similar with the maximum values of 0.15 g·m^-3 and 0.10 g·m^-3 at a height of 1.0 km, respectively.Whereas, the IIW on rainy days has two peak intervals respectively located at the heights of 1.0 km and 2.5 km.In the meanwhile, the IIW and TWV show the daily change characteristics with high values in the daytime and low values at night and in the early morning, while the cloud base heights show the opposite trends.

Key words: Microwave radiometer, Integrated cloud liquid water content (IIW), Integrated total water vapor content (TWV), Precipitation

CLC Number:

P407.7

Qing-fei ZHAI,Jin-guang ZHANG,Bin-fei WANG,Jian YUAN,Yao LI,Ming-yu LI. Correlation analysis of atmospheric temperature and humidity profiles retrieved from microwave radiometer with precipitation[J]. Journal of Meteorology and Environment, 2020, 36(6): 98-107.

Figures/Tables 8

Fig.1

Fig.2

Fig.3

Fig.4

Table 1

Table 2

Fig.5

Fig.6

References 32

1	Westwater E R , Snider J B , Carlson A V . Experimental determination of temperature profiles by ground based microwave radiometry[J]. Journal of Applied Meteorology, 1975, 14 (4): 524- 539. doi: 10.1175/1520-0450(1975)014<0524:EDOTPB>2.0.CO;2
2	Westwater E R , Wang Z H , Grody N C , et al. Remote sensing of temperature profiles from a combination of observations from the satellite based microwave sounding unit and the ground-based profiler[J]. Journal of Atmospheric and Oceanic Technology, 1985, 2 (2): 97- 109. doi: 10.1175/1520-0426(1985)002<0097:RSOTPF>2.0.CO;2
3	Trokhimovski Y G , Westwater E R , Han Y , et al. Air and sea surface temperature measurements using a 60 GHz microwave rotating radiometer[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36 (1): 3- 15.
4	Ware R , Carpenter R , Güldner J , et al. A multichannel radiometric profiler of temperature, humidity, and cloud liquid[J]. Radio Science, 2003, 38 (4): 8079.
5	Chan P W . Performance and application of a multi-wavelength, ground-based microwave radiometer in intense convective weather[J]. Meteorologische Zeitschrift, 2009, 18 (3): 253- 265. doi: 10.1127/0941-2948/2009/0375
6	韩珏靖, 陈飞, 张臻, 等. MP-3000A型地基微波辐射计的资料质量评估和探测特征分析[J]. 气象, 2015, 41 (2): 226- 233. doi: 10.3969/j.issn.1671-6345.2015.02.011
7	王志诚, 张雪芬, 茆佳佳, 等. 不同天气条件下地基微波辐射计探测性能比对[J]. 应用气象学报, 2018, 2019 (3): 282- 295.
8	刘晓璐, 刘东升, 郭丽君, 等. 国产MWP967KV型地基微波辐射计探测精度[J]. 应用气象学报, 2019, 30 (6): 731- 744.
9	Snider J B . Long-term observations of cloud liquid, water vapor, and cloud-base temperature in the North Atlantic Ocean[J]. Journal of Atmospheric and Oceanic Technology, 2000, 17 (7): 928- 939. doi: 10.1175/1520-0426(2000)017<0928:LTOOCL>2.0.CO;2
10	Cossu F , Hocke K , Mätzler C . A 10-year cloud fraction climatology of liquid water clouds over bern observed by a ground based microwave radiometer[J]. Remote Sensing, 2015, 7 (6): 7768- 7784. doi: 10.3390/rs70607768
11	Madhulatha A , Rajeevan M , Venkat Ratnam M , et al. Nowcasting severe convective activity over southeast India using ground-based microwave radiometer observations[J]. Journal of Geophysical Research:Atmospheres, 2013, 118 (1): 1- 13. doi: 10.1029/2012JD018174
12	段英, 吴志会. 利用地基遥感方法监测大气中汽态、液态水含量分布特征的分析[J]. 应用气象学报, 1999, 10 (1): 34- 40. doi: 10.3969/j.issn.1001-7313.1999.01.005
13	张文刚, 徐桂荣, 万蓉, 等. 基于地基微波辐射计的大气液态水及水汽特征分析[J]. 暴雨灾害, 2015, 34 (4): 367- 374. doi: 10.3969/j.issn.1004-9045.2015.04.010
14	敖雪, 王振会, 徐桂荣, 等. 地基微波辐射计资料在降水分析中的应用[J]. 暴雨灾害, 2011, 30 (4): 358- 365. doi: 10.3969/j.issn.1004-9045.2011.04.012
15	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. doi: 10.3969/j.issn.1673-503X.2017.05.005
16	白婷, 刘艳华, 杨敏. 微波辐射计观测同降水相关性的研究[J]. 气象与环境科学, 2019, 42 (4): 111- 118.
17	陈树成, 史静, 王彦, 等. 基于地基微波辐射计遥感的天津大气水汽和液态水特征[J]. 气象与环境学报, 2019, 35 (6): 38- 45.
18	李军霞, 李培仁, 晋立军, 等. 地基微波辐射计在遥测大气水汽特征及降水分析中的应用[J]. 干旱气象, 2017, 35 (5): 767- 775.
19	田磊, 桑建人, 姚展予, 等. 六盘山区夏秋季大气水汽和液态水特征初步分析[J]. 气象与环境学报, 2019, 35 (6): 28- 37.
20	苗运玲, 李如琦, 卓世新. 天山北坡东段GPS反演的大气可降水量变化特征及其与降水的关系[J]. 干旱气象, 2016, 34 (6): 989- 994, 1046.
21	刘红燕, 王迎春, 王京丽, 等. 由地基微波辐射计测量得到的北京地区水汽特性的初步分析[J]. 大气科学, 2009, 33 (2): 388- 396. doi: 10.3878/j.issn.1006-9895.2009.02.16
22	中国气象局. 地面气象观测规范[M]. 北京: 气象出版社, 2003.
23	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大气温湿廓线实验研究[J]. 热带气象学报, 2016, 32 (2): 163- 171.
24	徐桂荣, 张文刚, 万霞, 等. 地基微波辐射计反演的青藏高原东侧甘孜大气温湿廓线分析[J]. 暴雨灾害, 2019, 38 (3): 238- 248.
25	Miloshevich L M , Vömel H , Whiteman D N , et al. Accuracy assessment and correction of Vaisala RS92 radiosonde water vapor measurements[J]. Journal of Geophysical Research:Atmospheres, 2009, 114 (D11): D11305. doi: 10.1029/2008JD011565
26	Wang J H , Carlson D J , Parsons D B , et al. Performance of operational radiosonde humidity sensors in direct comparison with a chilled mirror dew-point hygrometer and its climate implication[J]. Geophysical Research Letters, 2003, 30 (16): 1860.
27	唐南军, 刘艳, 李刚, 等. 中低空探空相对湿度观测数据的新问题-基于中国L波段探空系统湿度观测异常偏干现象的初步分析[J]. 热带气象学报, 2014, 30 (4): 643- 653.
28	王洪, 雷恒池, 杨超, 等. 济南地区大气可降水量三种观测反演资料的对比分析[J]. 山东气象, 2017, 37 (2): 83- 89.
29	张文刚, 徐桂荣, 廖可文, 等. 地基微波辐射计探测精度的变化特征分析[J]. 暴雨灾害, 2017, 36 (4): 373- 381.
30	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.
31	曹玉静, 刘晶淼, 梁宏, 等. 基于无线电探空资料反演大气水汽资源的垂直层结特征[J]. 自然资源学报, 2011, 26 (9): 1603- 1612.
32	田磊, 孙艳桥, 胡文东, 等. 银川地区大气水汽、云液态水含量特性的初步分析[J]. 高原气象, 2013, 32 (6): 1774- 1779.

日期	云中积分液态水含量/mm	积分水汽含量/cm	天气情况
2019-7-29	7.1	6.6	暴雨
2019-8-13	7.4	6.8	暴雨
2019-7-13	6.2	5.9	大雨
2019-8-14	5.1	6.3	大雨
2019-8-16	4.9	5.2	大雨
2019-8-25	7.3	6.5	大雨
2019-7-30	4.6	4.1	中雨
2019-8-10	4.4	4.7	中雨
2019-8-17	4.1	4.5	中雨
2019-8-26	4.7	4.8	中雨
2019-8-28	4.4	4.9	中雨
2019-9-13	4.0	4.7	中雨
2019-7-11	1.3	2.9	小雨
2019-7-12	1.1	2.4	小雨
2019-7-14	0.4	2.3	小雨
2019-7-15	2.8	3.4	小雨
2019-7-21	2.2	3.8	小雨
2019-7-23	1.7	3.3	小雨
2019-7-24	2.1	3.9	小雨
2019-8-1	1.9	3.7	小雨
2019-8-2	1.6	4.1	小雨
2019-8-3	2.5	4.7	小雨
2019-8-6	1.9	4.4	小雨
2019-8-7	1.8	4.9	小雨
2019-8-8	1.6	4.8	小雨
2019-8-9	1.3	4.4	小雨
2019-8-11	1.1	4.1	小雨
2019-8-12	1.9	4.2	小雨
2019-8-15	1.0	3.9	小雨
2019-8-20	2.7	4.9	小雨
2019-8-21	0.9	3.2	小雨
2019-8-27	1.2	4.0	小雨
2019-8-29	0.7	3.8	小雨
2019-9-6	1.0	4.1	小雨
2019-9-7	1.1	3.9	小雨
2019-9-17	1.3	4.2	小雨

日期	云中积分液态水含量/mm	积分水汽含量/cm	天气情况
2019—7—16	0—0.05	1.3-1.7	多云
2019-7-17	0—0.33	1.2—3.9	阴
2019-7-18	0—0.4	1.7—2.4	多云
2019-7-19	0—0.5	1.4—2.5	多云
2019-7-20	0—0.2	1.3—3.1	多云
2019-7-22	0—0.01	1.5—2.7	晴
2019-7-25	0-0.13	2.9-3.1	多云
2019-7-26	0—0.16	1.5—2.5	晴
2019-7-27	0—0.10	1.8—2.3	多云
2019-7-28	0—0.01	1.1—2.6	晴
2019-7-31	0—1.20	3.1—3.8	阴
2019-8-04	0—0.10	2.7—3.8	阴
2019-8-05	0—1.60	3.2—4.1	多云
2019-8-18	0—0.01	2.6-2.9	晴
2019-8-19	0—0.01	2.8—2.9	晴
2019-8-22	0—0.01	2.2—2.5	晴
2019-8-23	0—0.01	2.7—2.9	晴
2019-8-24	0—0.01	2.8—3.1	多云
2019-8-30	0-0.09	2.9—3.2	多云
2019-8-31	0—0.01	2.2—2.4	晴
2019-9-01	0—0.01	2.4—2.7	晴
2019-9-02	0—0.01	2.4—2.8	晴
2019-9-03	0—0.10	2.7—2.9	多云
2019-9-04	0—1.20	3.7—4.0	阴
2019-9-05	0—0.30	3.0—3.4	多云
2019-9-08	0—0.01	2.6—2.9	晴
2019-9-09	0—0.13	1.7—2.8	多云
2019-9-10	0—0.15	2.6—3.4	多云
2019-9-11	0—0.11	2.2—3.1	晴
2019-9-12	0—0.13	2.9—3.3	多云
2019-9-14	0—0.01	2.4—2.7	晴
2019-9-15	0—0.43	2.9—3.8	多云
2019-9-16	0—0.01	2.6—2.9	晴
2019-9-19	0—0.01	2.1—2.3	晴
2019-9-20	0—0.1	2.8—3.2	多云
2019-9-21	0—0.01	2.7—3.0	晴

[1]	Duan-yu ZHANG,Fei-yang WANG,Jin-tao YE. Characteristics of rainstorms in central Huanghuai area influenced by a landing tropical cyclone "Rumbia" in 2018 [J]. Journal of Meteorology and Environment, 2020, 36(6): 10-20.
[2]	An-qi NIE,De-qin LI,Fang-da TENG,Jing-long LU,Dang WANG. Verification of multi-model precipitation forecast in Liaoning province in summer and research on clear or rain forecast method [J]. Journal of Meteorology and Environment, 2020, 36(5): 10-17.
[3]	Xiang-pei LIU,Xiao-hui TONG,Qing-yu JIA,Xiao-na LIU,Jian-ren YANG,Zhi-yang XUE. Characteristics of daily precipitation concentration in Liaohe River Basin from 1960 to 2018 [J]. Journal of Meteorology and Environment, 2020, 36(5): 18-24.
[4]	Zhou WEN,Ri-hong WEN,Zi-yi QU,Fang-lei LOU,Shu-ting CHANG,Hong-ting SHI,Xiao-ying WANG. Characteristics of daily precipitation probability distribution in Jinzhou area [J]. Journal of Meteorology and Environment, 2020, 36(5): 25-32.
[5]	Qian LI,Yi LIN,Lin-lin YU,Da-jun WANG,Rong LIN,Yi-tong LIN,Chun-yu ZHAO. Characteristics of spatio-temporal variation of abrupt alternation of drought and flood in Liaoning province during precipitation concentration period from 1961 to 2017 [J]. Journal of Meteorology and Environment, 2020, 36(5): 33-39.
[6]	Yu-hong LI,Su-lin TAO,Rong-ping LI,Lin-lin LI,Ting WANG,Bin ZHOU,Jing LI. Spatio-temporal evolution of vegetation coverage and its responses to climatic factors in Liaoning province [J]. Journal of Meteorology and Environment, 2020, 36(5): 86-90.
[7]	Nan ZHANG, Xiao-jun YANG, Qun-ying HE, Yi-wei LIU, Xiao-lei SUN. Analysis of mesoscale convection process of heavy rain in Tianjin caused by a typhoon remnant vortex [J]. Journal of Meteorology and Environment, 2020, 36(4): 1-10.
[8]	Duo QI,Tian-hua ZHANG,Cheng-wei WANG,Song-tao LIU. Classification of synoptic circulations and spatial verification of the ECMWF model precipitation forecast over Northeast China during summer [J]. Journal of Meteorology and Environment, 2020, 36(3): 17-25.
[9]	Jia-qi XU,Yong-ji ZHOU,Li-xia JIANG,Yi-na CAO,Li-feng GUO. Characteristics of the spatial-temporal evolution of flood disasters in Heilongjiang province from 1965 to 2014 [J]. Journal of Meteorology and Environment, 2020, 36(3): 41-48.
[10]	De-jun LOU, Bo WANG, Ji WANG, Xue-mei ZHANG, Yu-lian LIU, Xian-wei ZHOU. Relationship between atmospheric heat source over the Tibetan Plateau in May and midsummer precipitation in Heilongjiang province [J]. Journal of Meteorology and Environment, 2020, 36(2): 34-40.
[11]	Yu-fang LIAO, Jian-ming ZHANG, Ling-yao GUO. Impact of tropical cyclones on precipitation and characteristics of circulation anomalies in Hu'nan province during 1951-2017 [J]. Journal of Meteorology and Environment, 2020, 36(2): 41-48.
[12]	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.
[13]	Li-xia JIANG,Liang-liang WANG,Jia-jia LV,Ming GAO,Ping WANG,Qiu-jing WANG,Li-juan GONG,Hui-ying ZHAO. A study on rainfall trend during the crop growing season in Heilongjiang province based on Hurst exponent method [J]. Journal of Meteorology and Environment, 2020, 36(2): 70-77.
[14]	Xiu-zhu SHA,Zhen-ping SHAO,Yan-hua LIU,Shan-hai WANG. Inspection and analysis of the effect of aircraft precipitation enhancement based on CA-FCM method [J]. Journal of Meteorology and Environment, 2020, 36(2): 78-84.
[15]	Xing-xing GAO, Hai-lin GUI, Yan CHEN, Lei ZHANG, Wu ZHANG. Spatiotemporal characteristics of aerosols and its effects on cloud and precipitation during summer over typical regions in China [J]. Journal of Meteorology and Environment, 2020, 36(1): 11-20.

Correlation analysis of atmospheric temperature and humidity profiles retrieved from microwave radiometer with precipitation

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 32

Related Articles 15

Metrics

Comments

Recommended 10