Pub Date : 2019-12-28DOI: 10.1109/ICMO49322.2019.9076588
Yuping Ji, Xiaobo Deng, Hailei Liu, Qihong Huang, Ke Zhou, Yuyu Tao
With the global warming, CO (carbon monoxide) as an indirect greenhouse gas, plays a crucial role in the contribution of greenhouse effect. High concentration of CO in the air will do harm to people's health. Based on the CO total column data detected by the Tropospheric Monitoring Instrument (TROPOMI) on Sentinel-5 Precursor satellite, which was launched by the European Space Agency (ESA) on 13 October 2017. This study analyzes the seasonal variable characteristics of the CO total column from June 2018 to May 2019 in China and the spatial distribution of the CO total column in North China, Central China, Sichuan Basin, Qinghai-Tibet Plateau and Pearl River Delta. The high values areas are mainly located in the eastern part of China with high population activity and developed industry, while the Qinghai- Tibet Plateau area and the northwest area are generally low. Selecting the area where the CO total column was significantly enhanced in Hebei province on 24 May, 2018, and monitoring the pollution in the following days. The results show that the TROPOMI data product is a good way to show the source of pollution and has the ability to detect local hot spots.
{"title":"Temporal and Spatial Distribution Characteristics of CO Total Column over China Based on TROPOMI Measurements","authors":"Yuping Ji, Xiaobo Deng, Hailei Liu, Qihong Huang, Ke Zhou, Yuyu Tao","doi":"10.1109/ICMO49322.2019.9076588","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9076588","url":null,"abstract":"With the global warming, CO (carbon monoxide) as an indirect greenhouse gas, plays a crucial role in the contribution of greenhouse effect. High concentration of CO in the air will do harm to people's health. Based on the CO total column data detected by the Tropospheric Monitoring Instrument (TROPOMI) on Sentinel-5 Precursor satellite, which was launched by the European Space Agency (ESA) on 13 October 2017. This study analyzes the seasonal variable characteristics of the CO total column from June 2018 to May 2019 in China and the spatial distribution of the CO total column in North China, Central China, Sichuan Basin, Qinghai-Tibet Plateau and Pearl River Delta. The high values areas are mainly located in the eastern part of China with high population activity and developed industry, while the Qinghai- Tibet Plateau area and the northwest area are generally low. Selecting the area where the CO total column was significantly enhanced in Hebei province on 24 May, 2018, and monitoring the pollution in the following days. The results show that the TROPOMI data product is a good way to show the source of pollution and has the ability to detect local hot spots.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130340992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-28DOI: 10.1109/ICMO49322.2019.9076593
Xin Zhang, L. Cao, Yida Wang, Zhendong Yao, Shuling Li, Jiliang Han
It is of great significance to accurately and objectively evaluate the spatial and temporal variation characteristics of soil moisture in studies Heilongjiang Region. Combining model simulation and site observation is necessary to studying water and energy recycling at a regional scale especially. In this paper, Using the soil moisture observation at 0～10 cm layer from the automatic soil moisture monitoring stations and Manual observation data as a guide. Based on the surface soil moisture data of 10 cm provided by CLDAS-V2.0 ( CMA Land Data Assimilation System Version2.0 ) developed by the National Meteorological Information Center, the spatiotemporal difference of model simulated data in Heilongjiang province was compared and analyzed. The correlation coefficient(R), mean relative deviation, root-meansquare error (RMSE), mean relative error (MRE) and mean absolute error (MAE)of the simulated data and the observed data were calculated, Comprehensive evaluation the applicability of soil moisture data from simulated data in Heilongjiang Region. In this paper using soil data in the main growth period of crops, summer is selected as the research period for preliminary evaluation and analysis, The research period is from May to August,2018 to 2019, the time series length was 244days. Using the NetCDF toolbox of ArcGIS to get 0 ～ 10 cm soil moisture data of the grid where the observation station is located by CLDAS-V2.0. The results showed that: Although the data from model products were generally slightly higher than the observation data, station observation and model products data show a good consistency. The paper would help us make effective use of model products in soil moisture related studies with a view to testing CLDAS V2.0 for Ability to describe soil humidity.
准确、客观地评价黑龙江地区土壤水分时空变化特征具有重要意义。在区域尺度上研究水能循环尤其需要模型模拟与现场观测相结合。本文以自动土壤水分监测站0~10 cm层土壤水分观测资料和人工观测资料为指导。利用国家气象信息中心开发的CLDAS-V2.0 (CMA Land data Assimilation System Version2.0)提供的10 cm表层土壤水分数据，对比分析了黑龙江省模式模拟数据的时空差异。计算模拟数据与观测数据的相关系数(R)、平均相对偏差、均方根误差(RMSE)、平均相对误差(MRE)和平均绝对误差(MAE)，综合评价模拟数据在黑龙江地区土壤湿度数据的适用性。本文利用作物主生期土壤数据，选择夏季作为研究期进行初步评价分析，研究期为2018 - 2019年5 - 8月，时间序列长度为244天。利用ArcGIS的NetCDF工具箱，利用CLDAS-V2.0软件获取观测站所在网格0 ~ 10 cm土壤湿度数据。结果表明:虽然模型产品数据普遍略高于观测数据，但站内观测数据与模型产品数据具有较好的一致性。本文将有助于我们在土壤湿度相关研究中有效地利用模型产品，以期测试CLDAS V2.0对土壤湿度的描述能力。
{"title":"Comparative analysis of soil moisture based on model simulation and site observation data","authors":"Xin Zhang, L. Cao, Yida Wang, Zhendong Yao, Shuling Li, Jiliang Han","doi":"10.1109/ICMO49322.2019.9076593","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9076593","url":null,"abstract":"It is of great significance to accurately and objectively evaluate the spatial and temporal variation characteristics of soil moisture in studies Heilongjiang Region. Combining model simulation and site observation is necessary to studying water and energy recycling at a regional scale especially. In this paper, Using the soil moisture observation at 0～10 cm layer from the automatic soil moisture monitoring stations and Manual observation data as a guide. Based on the surface soil moisture data of 10 cm provided by CLDAS-V2.0 ( CMA Land Data Assimilation System Version2.0 ) developed by the National Meteorological Information Center, the spatiotemporal difference of model simulated data in Heilongjiang province was compared and analyzed. The correlation coefficient(R), mean relative deviation, root-meansquare error (RMSE), mean relative error (MRE) and mean absolute error (MAE)of the simulated data and the observed data were calculated, Comprehensive evaluation the applicability of soil moisture data from simulated data in Heilongjiang Region. In this paper using soil data in the main growth period of crops, summer is selected as the research period for preliminary evaluation and analysis, The research period is from May to August,2018 to 2019, the time series length was 244days. Using the NetCDF toolbox of ArcGIS to get 0 ～ 10 cm soil moisture data of the grid where the observation station is located by CLDAS-V2.0. The results showed that: Although the data from model products were generally slightly higher than the observation data, station observation and model products data show a good consistency. The paper would help us make effective use of model products in soil moisture related studies with a view to testing CLDAS V2.0 for Ability to describe soil humidity.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128471197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-28DOI: 10.1109/ICMO49322.2019.9076591
Wang Lizhu, Guo Zhongli, Zhu Qian, Wu Peng, Ma Shangchang, Zhang Sujuan, Wang Min
With the development of meteorological information and the improvement of social demand for meteorology, the meteorological industry has also introduced cloud computing technology, among which the virtual desktop, as the key technology of cloud computing, has been gradually promoted and used in the meteorological service system. Based on virtual desktop technology and taking the transmission system of national surface meteorological observation station in Henan province as an example, this paper proposes a meteorological data transmission system based on virtual desktop by analyzing the problems existing in the data flow of traditional architecture. This paper expounds the design and application of the system, the economic benefit, the reliability and security of the system and the business benefit of the system, thus demonstrating the feasibility of the new architecture data flow based on virtual desktop in the meteorological business system. Virtual desktop will bring new innovation and impetus to the meteorological system, and cloud computing technology will also provide powerful technical support and guarantee for the meteorological business, providing reliable, stable and safe technical solutions and support for the development and construction of meteorological information in Henan province and the whole country.
{"title":"Research and Application of Meteorological Data Transmission System Based on Virtual Desktop","authors":"Wang Lizhu, Guo Zhongli, Zhu Qian, Wu Peng, Ma Shangchang, Zhang Sujuan, Wang Min","doi":"10.1109/ICMO49322.2019.9076591","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9076591","url":null,"abstract":"With the development of meteorological information and the improvement of social demand for meteorology, the meteorological industry has also introduced cloud computing technology, among which the virtual desktop, as the key technology of cloud computing, has been gradually promoted and used in the meteorological service system. Based on virtual desktop technology and taking the transmission system of national surface meteorological observation station in Henan province as an example, this paper proposes a meteorological data transmission system based on virtual desktop by analyzing the problems existing in the data flow of traditional architecture. This paper expounds the design and application of the system, the economic benefit, the reliability and security of the system and the business benefit of the system, thus demonstrating the feasibility of the new architecture data flow based on virtual desktop in the meteorological business system. Virtual desktop will bring new innovation and impetus to the meteorological system, and cloud computing technology will also provide powerful technical support and guarantee for the meteorological business, providing reliable, stable and safe technical solutions and support for the development and construction of meteorological information in Henan province and the whole country.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116069896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-28DOI: 10.1109/ICMO49322.2019.9085307
Wang Xin, Zhang Fugui, W. Xuejun, Zhou Honggen
The antenna performance parameter of weather radar, an extremely significant part of radar constant, which directly influences the measurement accuracy of radar echo intensity. Therefore, antenna test always be considered as an important step in radar inspection and calibration. But, a high placement position required to the new generation weather radar and a iron tower installation needed to the far-field test, are always both brings great inconvenience in the regular or irregular examination of antenna. This paper discusses the method of testing weather radar antenna by using the sun as a signal source, relevant principles or methods in detail, and algorithm of solar optical angular diameter. Improves the solar method azimuth beam width correction algorithm through analyzing the phonomenon that the azimuth beam width changed with the solar elevation angle in solar method. Analyzes the measurement error and accuracy of the sun method by measuring a antenna of X-band weather radar in Chengdu University of Information Technology. The results show that the antenna beam width measurement becomes more stable and the measurement accuracy shows greatly improved by using the azimuth beam width correction algorithm in solar method. Compared with the antenna far-field test, the solar method presents the advantages of low cost, simple operation and high measurement accuracy, and has a wide application prospect in the field of weather radar antenna testing.
{"title":"A Study of Solar Method Azimuth","authors":"Wang Xin, Zhang Fugui, W. Xuejun, Zhou Honggen","doi":"10.1109/ICMO49322.2019.9085307","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9085307","url":null,"abstract":"The antenna performance parameter of weather radar, an extremely significant part of radar constant, which directly influences the measurement accuracy of radar echo intensity. Therefore, antenna test always be considered as an important step in radar inspection and calibration. But, a high placement position required to the new generation weather radar and a iron tower installation needed to the far-field test, are always both brings great inconvenience in the regular or irregular examination of antenna. This paper discusses the method of testing weather radar antenna by using the sun as a signal source, relevant principles or methods in detail, and algorithm of solar optical angular diameter. Improves the solar method azimuth beam width correction algorithm through analyzing the phonomenon that the azimuth beam width changed with the solar elevation angle in solar method. Analyzes the measurement error and accuracy of the sun method by measuring a antenna of X-band weather radar in Chengdu University of Information Technology. The results show that the antenna beam width measurement becomes more stable and the measurement accuracy shows greatly improved by using the azimuth beam width correction algorithm in solar method. Compared with the antenna far-field test, the solar method presents the advantages of low cost, simple operation and high measurement accuracy, and has a wide application prospect in the field of weather radar antenna testing.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122205803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Planetary boundary layer (PBL) – aerosol interaction is one of a major causes for the deterioration of air quality. Elucidating the relationship between pollution–PBL becomes essential for improving the prediction of air quality. Ground-based air quality and meteorological data, in combination with L-band high resolution (1-sec) radiosonde measurements from 2014 to 2017, were used to study the fine structures of PBL, and the correlations between boundary layer height (BLH) and PM2.5 from different region in China.There is a significant difference in the PBL–PM2.5 interaction in different regions. On the inner-annual timescale, the strongest negative correlation is observed over the North China Plain (NCP) with highly polluted conditions, followed by the Yangtze River Delta (YRD). Meanwhile, the air quality of Qinghai-Tibet Plateau (TBP) is relatively clean, where it shows the lowest negative correlation coefficient. The correlation coefficient are 0.34, -0.25 and -0.18 for the NCP, the YRD and the TBP. In the heavily polluted region, the pollutant–PBL–meteorology is closely related, indicating that their interaction is most obvious. Under clean conditions, no distinct interaction can be found between BLH and PM2.5 in the TBP, whereas the meteorological conditions show a greater impact on the development of PBL.The PBL-pollution interaction depends in the degree of pollution and the background value of BLHs, and the relationship between PM2.5 and BLHs is nonlinear, which is more obvious with high concentration of pollutants or the low BLHs. Of course, this relationship is also significantly affected by other meteorological variables.
{"title":"The Linkages between Atmospheric Boundary Layer and PM 2.5 from Different Region in China","authors":"Mengyun Lou, Qing Zhou, J. Jin, Yanfen Peng, Rui Dai, Yong Zhang, Jianping Guo","doi":"10.1109/ICMO49322.2019.9026117","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9026117","url":null,"abstract":"Planetary boundary layer (PBL) – aerosol interaction is one of a major causes for the deterioration of air quality. Elucidating the relationship between pollution–PBL becomes essential for improving the prediction of air quality. Ground-based air quality and meteorological data, in combination with L-band high resolution (1-sec) radiosonde measurements from 2014 to 2017, were used to study the fine structures of PBL, and the correlations between boundary layer height (BLH) and PM2.5 from different region in China.There is a significant difference in the PBL–PM2.5 interaction in different regions. On the inner-annual timescale, the strongest negative correlation is observed over the North China Plain (NCP) with highly polluted conditions, followed by the Yangtze River Delta (YRD). Meanwhile, the air quality of Qinghai-Tibet Plateau (TBP) is relatively clean, where it shows the lowest negative correlation coefficient. The correlation coefficient are 0.34, -0.25 and -0.18 for the NCP, the YRD and the TBP. In the heavily polluted region, the pollutant–PBL–meteorology is closely related, indicating that their interaction is most obvious. Under clean conditions, no distinct interaction can be found between BLH and PM2.5 in the TBP, whereas the meteorological conditions show a greater impact on the development of PBL.The PBL-pollution interaction depends in the degree of pollution and the background value of BLHs, and the relationship between PM2.5 and BLHs is nonlinear, which is more obvious with high concentration of pollutants or the low BLHs. Of course, this relationship is also significantly affected by other meteorological variables.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115262730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/ICMO49322.2019.9025897
Jinhua Chu, X. Tang, Hua Wang
Visibility is one of the basic elements of ground meteorological observation, which has an important impact on aviation, navigation, road traffic and military activities. There is no uniform test environment and reference standard in the calibration of forward scattering visibility meter, which leads to great difference in measurement results. This paper introduces a calibration method of visibility meter based on artificial simulated environment, and develops a visibility environment simulated square cabin, which can achieve artificial simulated visibility from 10m to 30km by using ultrasonic fog making and air purification technology. Furthermore, the air circulation technology is used to accelerate the water vapor mixing and eliminate the error caused by the water mist inhomogeneity. The transmission visibility measurement system is taken as the reference standard and the forward scattering visibility meter system constant is calibrated. Finally, the visibility calibration in the range of 50m ~ 10 km is realized. The analysis shows that the horizontal visibility nonuniformity of the shelter is between-1.7 % ~ 1.8 %, which meets the environmental requirements for calibration of forward scattering visibility meter. In the simulated visibility range of 50 m~10 km, the relative error of visibility measurement between the calibrated forward scattering visibility meter and the reference standard is between -1.6 % ~ 5.1 %, and controlled within ± 10 %.
{"title":"Research on the Calibration Technology of Visibility Based on Artificial Simulated Environment","authors":"Jinhua Chu, X. Tang, Hua Wang","doi":"10.1109/ICMO49322.2019.9025897","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025897","url":null,"abstract":"Visibility is one of the basic elements of ground meteorological observation, which has an important impact on aviation, navigation, road traffic and military activities. There is no uniform test environment and reference standard in the calibration of forward scattering visibility meter, which leads to great difference in measurement results. This paper introduces a calibration method of visibility meter based on artificial simulated environment, and develops a visibility environment simulated square cabin, which can achieve artificial simulated visibility from 10m to 30km by using ultrasonic fog making and air purification technology. Furthermore, the air circulation technology is used to accelerate the water vapor mixing and eliminate the error caused by the water mist inhomogeneity. The transmission visibility measurement system is taken as the reference standard and the forward scattering visibility meter system constant is calibrated. Finally, the visibility calibration in the range of 50m ~ 10 km is realized. The analysis shows that the horizontal visibility nonuniformity of the shelter is between-1.7 % ~ 1.8 %, which meets the environmental requirements for calibration of forward scattering visibility meter. In the simulated visibility range of 50 m~10 km, the relative error of visibility measurement between the calibrated forward scattering visibility meter and the reference standard is between -1.6 % ~ 5.1 %, and controlled within ± 10 %.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124831463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/ICMO49322.2019.9025992
Chuanzhi Wang, Xiaohua Zhu, Xuehua Li
The interference suppression is an eternal issue in radar system. In this paper, we first proposed a novel single-channel blind source separation (SBSS) algorithm which overcomes the limitation of traditional BSS method, and then the novel SBSS algorithm was performed to weather radar in interference suppression. The proposed SBSS method is inspired by the recently proposed variational mode decomposition (VMD) and the theory of sparse component analysis (SCA). The VMD algorithm was implemented to decompose the single-channel signal into two-channel signals and the improved SCA method was utilized to signal separation with under-determined situation. The numerical results of SBSS demonstrate that the source signals are preeminently retrieved from a single observed mixture. The algorithm is successfully applied to Doppler weather radar with interference of bird. Simulation results showed that the meteorology echo signal and interference signal are obviously separated. In addition, the SBSS algorithm also can be applied to multipath separation, signal denoising and some other situation.
{"title":"Interference Suppression Based on Single-channel Blind Source Separation in Weather Radar","authors":"Chuanzhi Wang, Xiaohua Zhu, Xuehua Li","doi":"10.1109/ICMO49322.2019.9025992","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025992","url":null,"abstract":"The interference suppression is an eternal issue in radar system. In this paper, we first proposed a novel single-channel blind source separation (SBSS) algorithm which overcomes the limitation of traditional BSS method, and then the novel SBSS algorithm was performed to weather radar in interference suppression. The proposed SBSS method is inspired by the recently proposed variational mode decomposition (VMD) and the theory of sparse component analysis (SCA). The VMD algorithm was implemented to decompose the single-channel signal into two-channel signals and the improved SCA method was utilized to signal separation with under-determined situation. The numerical results of SBSS demonstrate that the source signals are preeminently retrieved from a single observed mixture. The algorithm is successfully applied to Doppler weather radar with interference of bird. Simulation results showed that the meteorology echo signal and interference signal are obviously separated. In addition, the SBSS algorithm also can be applied to multipath separation, signal denoising and some other situation.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"477 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123282074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/ICMO49322.2019.9025844
L. Feifei, Chen Shiying, Bu Zhichao, W. Xiaopeng, L. Jie
According to X-band dual-polarized radar data from Beijing area, the authors analyzed the radar echo characteristics of a strong convective hail cloud which used the algorithm for identifying hail and polarization characteristics. The results show that the convective cloud has a distinct V- shaped gap, and the vertex of the gap is facing the radar station. The strong echo structure at the vertex of the gap is compact. The echo top is 13 km, and the maximum reflectivity factor is 57.5 dBZ. Around the V-shaped gap, the differential reflectance factors which are far from the radar station show negative value, indicating that this area is a hail area; the differential reflectance factors which are near the radar station show positive value, indicating that this area has a heavy raindrop. The reflectivity factors at 19:18, 19:48, 20:09, and 20:30 were selected, and the vertical profile was made along the lower inflow direction and the core of strongest reflectance factor. The vertical profile exhibits typical echo characteristics such as WER, BWER and echo overhang. The differential reflectivity factors and correlation coefficients have obvious stratification characteristics, which reflect the precipitation particles within clouds rising continually under the influence of low-level inflow airflow and the upper ice particles moving to the right side of the WER with the upper horizontal airflow and then dropping gradually. This process verifies the evolution of hail rising and falling.
{"title":"Characteristic Analysis of X-band Dual Polarization Radar in a Hail Process","authors":"L. Feifei, Chen Shiying, Bu Zhichao, W. Xiaopeng, L. Jie","doi":"10.1109/ICMO49322.2019.9025844","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025844","url":null,"abstract":"According to X-band dual-polarized radar data from Beijing area, the authors analyzed the radar echo characteristics of a strong convective hail cloud which used the algorithm for identifying hail and polarization characteristics. The results show that the convective cloud has a distinct V- shaped gap, and the vertex of the gap is facing the radar station. The strong echo structure at the vertex of the gap is compact. The echo top is 13 km, and the maximum reflectivity factor is 57.5 dBZ. Around the V-shaped gap, the differential reflectance factors which are far from the radar station show negative value, indicating that this area is a hail area; the differential reflectance factors which are near the radar station show positive value, indicating that this area has a heavy raindrop. The reflectivity factors at 19:18, 19:48, 20:09, and 20:30 were selected, and the vertical profile was made along the lower inflow direction and the core of strongest reflectance factor. The vertical profile exhibits typical echo characteristics such as WER, BWER and echo overhang. The differential reflectivity factors and correlation coefficients have obvious stratification characteristics, which reflect the precipitation particles within clouds rising continually under the influence of low-level inflow airflow and the upper ice particles moving to the right side of the WER with the upper horizontal airflow and then dropping gradually. This process verifies the evolution of hail rising and falling.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115530119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/ICMO49322.2019.9026149
Zhang Yi, Shangchang Ma, Panpan Zhao
At present, meteorologists have studied the laws of climate change throughout China and applied the results to many meteorological fields. The Chengdu area is located on the border of the northwestern plateau of Sichuan and the Sichuan Basin. The climate and environment are diverse. In order to understand the temporal and spatial characteristics of the precipitation field in Chengdu, and to predict the development trend of precipitation in Chengdu in a short time, this article uses 44a hourly precipitation data of 12 ground stations in Chengdu as reference materials. The two-dimensional interpolation method is used to fill in the missing data. The empirical orthogonal function analysis method is used to study the spatial distribution of precipitation fields, and the changing trend of precipitation in Chengdu area in 44a is analyzed by moving average. The results show that there are two main spatial types of annual precipitation in Chengdu. First, the changes in precipitation in Chengdu are highly consistent, that is, the city is either rainy or drizzle throughout the year. Second, the change pattern of precipitation in the northwest and southeast regions of Chengdu is opposite, that is, there is more rainfall in the northwest region and less rainfall in the southeast region, or less rainfall in the northwest region and more rainfall in the southeast region. It can be obtained from the time coefficient that the number of years of the modal one distribution model accounts for 54.5% of the total years, which is consistent with the cumulative variance contribution rate of the modal one, which can explain that the modal one is the main spatial type of precipitation field in Chengdu. The annual precipitation in Chengdu is generally decreasing.
{"title":"Temporal and Spatial Distribution Characteristics of Annual Precipitation in Chengdu","authors":"Zhang Yi, Shangchang Ma, Panpan Zhao","doi":"10.1109/ICMO49322.2019.9026149","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9026149","url":null,"abstract":"At present, meteorologists have studied the laws of climate change throughout China and applied the results to many meteorological fields. The Chengdu area is located on the border of the northwestern plateau of Sichuan and the Sichuan Basin. The climate and environment are diverse. In order to understand the temporal and spatial characteristics of the precipitation field in Chengdu, and to predict the development trend of precipitation in Chengdu in a short time, this article uses 44a hourly precipitation data of 12 ground stations in Chengdu as reference materials. The two-dimensional interpolation method is used to fill in the missing data. The empirical orthogonal function analysis method is used to study the spatial distribution of precipitation fields, and the changing trend of precipitation in Chengdu area in 44a is analyzed by moving average. The results show that there are two main spatial types of annual precipitation in Chengdu. First, the changes in precipitation in Chengdu are highly consistent, that is, the city is either rainy or drizzle throughout the year. Second, the change pattern of precipitation in the northwest and southeast regions of Chengdu is opposite, that is, there is more rainfall in the northwest region and less rainfall in the southeast region, or less rainfall in the northwest region and more rainfall in the southeast region. It can be obtained from the time coefficient that the number of years of the modal one distribution model accounts for 54.5% of the total years, which is consistent with the cumulative variance contribution rate of the modal one, which can explain that the modal one is the main spatial type of precipitation field in Chengdu. The annual precipitation in Chengdu is generally decreasing.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116150946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1109/ICMO49322.2019.9025883
Fangping Li, Shuqing Ma, Ling Yang, Fan Xia
The downburst is a short-time and smallscale strong convective weather system, which develops and dissipates extremely fast, and produces strong wind shear near the ground, and has a serious impact on the safety of aircrafts. The Array Weather Radar covers the elevation angle between 0 and 90 °, only takes 12s for a full volume scan, and can obtain high spatial and temporal resolution detection data. In order to improve the monitoring and early warning capability of the downburst, in this paper, a micro-downburst and a convective precipitation detected by the Array Weather Radar at Changsha Huanghua Airport in Hunan Province is analyzed by using the unit area equivalent potential value change and the echo characteristics of the AWR during the 15 minutes before the downburst happened. The data from airport ground automatic stations are analyzed and verified. The results show that the Array Weather Radar has significant advantages in monitoring short-time andsmall-scale weather systems such as downbursts. The convective process on May 20 2018 produced a local downdraft with the surface maximum wind speed of 11.6 m/s, and the release ratio of equivalent potential energy per unit area was over 30%; The water vapor starts to condense near the zero layer of the atmosphere and forms several storm cells The coalescence growth of the storm cells leads to form a new storm and accelerates the development of the new storm. The mid-level radial convergence and near-surface divergence of the echo are consistent with the wind speed and direction changes of the surface automatic meteorological station. The increases of the dew point temperature and pressure from automatic weather station have a certain indicative effect on the downdraft of storm. The AWR can give the warning information of 13 minutes before the surface wind speed reaches its maximum valve, and improve the monitoring and early warning on short-time small-scale weather systems such as downbursts by analyzing the effective potential energy release ratio per unit area.
{"title":"Research on Monitoring Downburst by Using Array Weather Radar","authors":"Fangping Li, Shuqing Ma, Ling Yang, Fan Xia","doi":"10.1109/ICMO49322.2019.9025883","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025883","url":null,"abstract":"The downburst is a short-time and smallscale strong convective weather system, which develops and dissipates extremely fast, and produces strong wind shear near the ground, and has a serious impact on the safety of aircrafts. The Array Weather Radar covers the elevation angle between 0 and 90 °, only takes 12s for a full volume scan, and can obtain high spatial and temporal resolution detection data. In order to improve the monitoring and early warning capability of the downburst, in this paper, a micro-downburst and a convective precipitation detected by the Array Weather Radar at Changsha Huanghua Airport in Hunan Province is analyzed by using the unit area equivalent potential value change and the echo characteristics of the AWR during the 15 minutes before the downburst happened. The data from airport ground automatic stations are analyzed and verified. The results show that the Array Weather Radar has significant advantages in monitoring short-time andsmall-scale weather systems such as downbursts. The convective process on May 20 2018 produced a local downdraft with the surface maximum wind speed of 11.6 m/s, and the release ratio of equivalent potential energy per unit area was over 30%; The water vapor starts to condense near the zero layer of the atmosphere and forms several storm cells The coalescence growth of the storm cells leads to form a new storm and accelerates the development of the new storm. The mid-level radial convergence and near-surface divergence of the echo are consistent with the wind speed and direction changes of the surface automatic meteorological station. The increases of the dew point temperature and pressure from automatic weather station have a certain indicative effect on the downdraft of storm. The AWR can give the warning information of 13 minutes before the surface wind speed reaches its maximum valve, and improve the monitoring and early warning on short-time small-scale weather systems such as downbursts by analyzing the effective potential energy release ratio per unit area.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116446751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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