Pub Date : 2019-12-01DOI: 10.1109/ICMO49322.2019.9025814
Jian Li, Zhendong Yao, Lei Ye, Peng Guan
The small size Doppler weather radar with magnetron transmitter is good at performance to price ratio and simple for operation and maintenance. It is very suitable for the weather forecast and weather modification operation guide. How to design a high performance transmitter for such radar is described in this paper.The transmitter consists of an 800 V high-voltage power supply, a high-voltage pulse modulator, a filament power supply, an x-band magnetron, and a controlling and protection circuit module. Among them, the high-voltage pulse modulator, controlling and protection circuit module are the major contents of the transmitter design. The high-voltage pulse modulator consists of a high-voltage capacitor for electric charge storage, a trigger driving circuit, a high-power switch with electronic device such as IGBT, a high voltage and current pulse transformer, etc. The controlling and protection circuit module is provided the security function for trigger pulse, mean radiation power, high-voltage pulse level and magnetron operation current, etc. Experiments show that the high-voltage pulse modulator has good driving performance and high efficiency for the magnetron with voltage of 5.6 kV, power smaller than 10kW and cycle duty no more than 1%. This magnetron transmitter has played an outstanding role in the application of the WXRMD- 10 radar.
{"title":"Design of Magnetron Transmitter for Doppler Weather Radar","authors":"Jian Li, Zhendong Yao, Lei Ye, Peng Guan","doi":"10.1109/ICMO49322.2019.9025814","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025814","url":null,"abstract":"The small size Doppler weather radar with magnetron transmitter is good at performance to price ratio and simple for operation and maintenance. It is very suitable for the weather forecast and weather modification operation guide. How to design a high performance transmitter for such radar is described in this paper.The transmitter consists of an 800 V high-voltage power supply, a high-voltage pulse modulator, a filament power supply, an x-band magnetron, and a controlling and protection circuit module. Among them, the high-voltage pulse modulator, controlling and protection circuit module are the major contents of the transmitter design. The high-voltage pulse modulator consists of a high-voltage capacitor for electric charge storage, a trigger driving circuit, a high-power switch with electronic device such as IGBT, a high voltage and current pulse transformer, etc. The controlling and protection circuit module is provided the security function for trigger pulse, mean radiation power, high-voltage pulse level and magnetron operation current, etc. Experiments show that the high-voltage pulse modulator has good driving performance and high efficiency for the magnetron with voltage of 5.6 kV, power smaller than 10kW and cycle duty no more than 1%. This magnetron transmitter has played an outstanding role in the application of the WXRMD- 10 radar.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"106 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":"117218217","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/ICMO49322.2019.9025969
B. Xiao, Ma Duanzhu, Liping Dai, Haocen Li, Zaihua Guo, Jinbao Liu
In this paper, lightning distribution data is used to analyze the lightning distribution characteristics of the region. Based on this, a method of regional lightning disaster risk assessment is given, which builds a three-tier hierarchical structure model and analyzes each risk index which respectively from four aspects such as the lightning risk, the region risk, the hazard-affected bodies risk and defense risk, simultaneously applies the fuzzy comprehensive evaluation method to make predictive evaluation of the lightning risk grade in a region. Regional lightning disaster risk assessment method uses the fuzzy mathematics knowledge to analyze and calculate, calculate the membership degree matrix of each index, and the weight of each index is determined by the fuzzy judgment matrix sorting method, and makes fuzzy comprehensive evaluations about the three levels. Finally an actual project is evaluated using the regional lightning disaster risk assessment method. The practical application shows that, the method can give decision-making guidance for project location, classification of lightning risk and measures to avoid the thunder.
{"title":"Application Research of Lightning Monitoring Data in Regional Lightning Disaster Risk Assessment","authors":"B. Xiao, Ma Duanzhu, Liping Dai, Haocen Li, Zaihua Guo, Jinbao Liu","doi":"10.1109/ICMO49322.2019.9025969","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025969","url":null,"abstract":"In this paper, lightning distribution data is used to analyze the lightning distribution characteristics of the region. Based on this, a method of regional lightning disaster risk assessment is given, which builds a three-tier hierarchical structure model and analyzes each risk index which respectively from four aspects such as the lightning risk, the region risk, the hazard-affected bodies risk and defense risk, simultaneously applies the fuzzy comprehensive evaluation method to make predictive evaluation of the lightning risk grade in a region. Regional lightning disaster risk assessment method uses the fuzzy mathematics knowledge to analyze and calculate, calculate the membership degree matrix of each index, and the weight of each index is determined by the fuzzy judgment matrix sorting method, and makes fuzzy comprehensive evaluations about the three levels. Finally an actual project is evaluated using the regional lightning disaster risk assessment method. The practical application shows that, the method can give decision-making guidance for project location, classification of lightning risk and measures to avoid the thunder.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"113 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":"120996306","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/ICMO49322.2019.9025948
Yimeng Wang, Shanshan Lv, Wei Li
The National-level Meteorological Observation Real-time Operation Platform was built by the CMA Meteorological Observation Center (MOC) In 2019, which integrated national real-time meteorological observation operations, research-oriented operations and external display. The real-time operation platform adopted the office form of the meteorological cloud desktop system, so that the operating system, applications and data were all centralized to the data center for unified management. The system was based on the core technology of Independent Computing Architecture (ICA) protocol and relied on the construction of servers, network devices and storage, and by means of distributed deployment and virtual architecture, the release and management functions were realized. NVIDIA vGPU was also applied in the system to release a VDI virtual design desktop based on GPU graphics, which satisfied the 3D modeling and CUDA computing needs of operating staff. At present, 80 cloud desktop systems had been built on the real-time operation platform, and customized operating systems and supporting software applications had met the requirements. The internal and external network cloud desktop physical isolation completely solves the problems of traditional office equipment decentralized management, low data security factor, high operation and maintenance cost, and inability to achieve mobile office. The technical advantages and architecture design of the meteorological cloud desktop system, the design and deployment process of the system and the key technologies involved in the operation application were described in detail in this paper.
{"title":"The Meteorological Cloud Desktop System of CMA Meteorological Observation Center","authors":"Yimeng Wang, Shanshan Lv, Wei Li","doi":"10.1109/ICMO49322.2019.9025948","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025948","url":null,"abstract":"The National-level Meteorological Observation Real-time Operation Platform was built by the CMA Meteorological Observation Center (MOC) In 2019, which integrated national real-time meteorological observation operations, research-oriented operations and external display. The real-time operation platform adopted the office form of the meteorological cloud desktop system, so that the operating system, applications and data were all centralized to the data center for unified management. The system was based on the core technology of Independent Computing Architecture (ICA) protocol and relied on the construction of servers, network devices and storage, and by means of distributed deployment and virtual architecture, the release and management functions were realized. NVIDIA vGPU was also applied in the system to release a VDI virtual design desktop based on GPU graphics, which satisfied the 3D modeling and CUDA computing needs of operating staff. At present, 80 cloud desktop systems had been built on the real-time operation platform, and customized operating systems and supporting software applications had met the requirements. The internal and external network cloud desktop physical isolation completely solves the problems of traditional office equipment decentralized management, low data security factor, high operation and maintenance cost, and inability to achieve mobile office. The technical advantages and architecture design of the meteorological cloud desktop system, the design and deployment process of the system and the key technologies involved in the operation application were described in detail in this paper.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"49 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":"115038624","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/ICMO49322.2019.9025872
J. Zheng, Zhendong Yao
The S-PolKa radar is an advanced, mobile ground-based, dual-polarized and dual-wavelength (S-band and Ka-band) Doppler weather radar belonging to the NCAR, which has excellent detection performance in precipitation estimation, real-time identification of hydrometeor types, humidity estimation, estimation of liquid water content in cloud, etc. The data used in this paper are the SPOL data, part of S-PolKa radar data. In order to obtain more fine RHI data products of SPOL weather radar and realize the visual analysis of meteorological data, SPOL weather radar data was decoded, smoothed and displayed through Matlab encoding. After analyzing the data format of SPOL data, we used Matlab to read the raw data and display it. In order to make the final presentation more realistic, we have accumulated and averaged the raw data to make the image smoother. Because the SPOL data adopts polar coordinate system, it is necessary to first change the mapping relationship of the coordinates, and then display the variables on the output device by using pseudo color. The results show that the smoothed data image can highlight the strong echo region and increase the effectiveness of weather radar data products.
{"title":"Display Multiple Variables Data for SPOL Weather Radar by Matlab Encoding","authors":"J. Zheng, Zhendong Yao","doi":"10.1109/ICMO49322.2019.9025872","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025872","url":null,"abstract":"The S-PolKa radar is an advanced, mobile ground-based, dual-polarized and dual-wavelength (S-band and Ka-band) Doppler weather radar belonging to the NCAR, which has excellent detection performance in precipitation estimation, real-time identification of hydrometeor types, humidity estimation, estimation of liquid water content in cloud, etc. The data used in this paper are the SPOL data, part of S-PolKa radar data. In order to obtain more fine RHI data products of SPOL weather radar and realize the visual analysis of meteorological data, SPOL weather radar data was decoded, smoothed and displayed through Matlab encoding. After analyzing the data format of SPOL data, we used Matlab to read the raw data and display it. In order to make the final presentation more realistic, we have accumulated and averaged the raw data to make the image smoother. Because the SPOL data adopts polar coordinate system, it is necessary to first change the mapping relationship of the coordinates, and then display the variables on the output device by using pseudo color. The results show that the smoothed data image can highlight the strong echo region and increase the effectiveness of weather radar data products.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"90 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":"121441737","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/ICMO49322.2019.9025841
Huang Xiaolong, Du Bin, Wu Wei
In this paper, we analyzed the integrity, accuracy and consistency of automatic and manual observation data of precipitation weather phenomenon from January to December in 2018 from 156 national stations in Sichuan Province to compare the capture, loss, nothingness and error of different precipitation types and time consistency in different precipitation levels. The results showed that automatic precipitation weather phenomenon instrument had the highest ability to capture rain which is 82.2%, while the lowest was only 23.5% for sleet. The highest loss rate was 96.1% for sleet and the lowest was 55.0% for rain, which was consistent with the capture rate. Rainfall was the most frequent precipitation weather process with the highest air report rate. Hail had the highest error rate but best consistency, which may be related to its less frequency, short duration and generally occured together with other precipitation weather processes. With the increase of rain intensity, the capture rate of drizzle, rain and sleet increases gradually. The highest capture rates of snow (0.1-1.0 mm / h) and hail (more than 1.0 mm / h). With the increase of rainfall intensity, the missing rate decreases gradually. The missing rate of rain and hail is the highest in precipitation intensity (0.1-1.0 mm / h). The error rate of drizzle, rain, snow and hail is the highest when the precipitation intensity is (0.1-1.0 mm / h). The error rate of sleet is the highest $(gt 1.0$ mm / h), which is only 0.3% higher than that of precipitation intensity (0.1-1.0 mm / h).
本文对四川省156个国家级台站2018年1 - 12月降水天气现象自动和人工观测资料的完整性、准确性和一致性进行了分析，比较了不同降水类型和不同降水水平时间一致性的捕获、损失、虚无和误差。结果表明，自动降水天气现象仪对降雨的捕获率最高，为82.2%，对雨夹雪的捕获率最低，仅为23.5%。雨夹雪的损失率最高为96.1%，雨的损失率最低为55.0%，与捕获率基本一致。降雨是最频繁的降水天气过程，空气报告率最高。冰雹的错误率最高，但一致性最好，这可能与其频率少、持续时间短、一般与其他降水天气过程同时发生有关。随着降雨强度的增大，毛毛雨、雨夹雪的捕获率逐渐增大。积雪(0.1 ~ 1.0 mm / h)和冰雹(大于1.0 mm / h)的捕获率最高，随着降雨强度的增加，丢失率逐渐降低。降雨和冰雹的失误率在降水强度(0.1 ~ 1.0 mm / h)时最高，毛毛雨、雨、雪和冰雹的失误率在降水强度(0.1 ~ 1.0 mm / h)时最高，雨雪的失误率最高(gt 1.0$ mm / h)，仅比降水强度(0.1 ~ 1.0 mm / h)高0.3%。
{"title":"Comparative Analysis of the Observation Data of Automatic Precipitation Weather Phenomenon Instrument","authors":"Huang Xiaolong, Du Bin, Wu Wei","doi":"10.1109/ICMO49322.2019.9025841","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025841","url":null,"abstract":"In this paper, we analyzed the integrity, accuracy and consistency of automatic and manual observation data of precipitation weather phenomenon from January to December in 2018 from 156 national stations in Sichuan Province to compare the capture, loss, nothingness and error of different precipitation types and time consistency in different precipitation levels. The results showed that automatic precipitation weather phenomenon instrument had the highest ability to capture rain which is 82.2%, while the lowest was only 23.5% for sleet. The highest loss rate was 96.1% for sleet and the lowest was 55.0% for rain, which was consistent with the capture rate. Rainfall was the most frequent precipitation weather process with the highest air report rate. Hail had the highest error rate but best consistency, which may be related to its less frequency, short duration and generally occured together with other precipitation weather processes. With the increase of rain intensity, the capture rate of drizzle, rain and sleet increases gradually. The highest capture rates of snow (0.1-1.0 mm / h) and hail (more than 1.0 mm / h). With the increase of rainfall intensity, the missing rate decreases gradually. The missing rate of rain and hail is the highest in precipitation intensity (0.1-1.0 mm / h). The error rate of drizzle, rain, snow and hail is the highest when the precipitation intensity is (0.1-1.0 mm / h). The error rate of sleet is the highest $(gt 1.0$ mm / h), which is only 0.3% higher than that of precipitation intensity (0.1-1.0 mm / h).","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"67 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":"124578177","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/ICMO49322.2019.9025956
Yuan Liu, Jianxia Guo
The sea surface vector winds drive and modulate the heat and momentum transfer through the oceanatmosphere interface, influence the thermal and dynamical properties of ocean water body, and consequently determine the water cycle, ocean circulation and climate change on global scale. The spatial variation of sea surface winds is an important driving force for ocean dynamics. The vorticity of sea surface winds drives the ocean circulation through Sverdrup transport on basin scale, the divergence of surface winds efficiently affects the Ekman pumping, and thus the physical and biological processes over the global oceans.With the increasing sampling frequencies of satellite-borne scatterometer, it is vitally important to construct a long-time series of sea surface blended wind product for climate studies and numerical modeling studies as the forcing field. Previous studies have shown that wind fields with different spatial and temporal resolution have an apparent influence on numerical model results. Using the scatterometer winds and operational numerical model winds, this thesis aims to find an optimal wind blending method to merge winds from different sources, while effectively to retain the vorticity and divergence information in the blended wind products. The main findings of the thesis are listed as follows:Based on the 2-dimensional varational method (2DVAR) for wind blending, regularized terms for wind vorticity and divergence were introduced in the methodology to overcome the over-fitting problems associated with the 2DVAR method, and to retain the fine structure of scatterometer observed wind vorticity and divergence.Using the insitu wind observations in South China Sea, the QuikSCAT scatterometer winds and the global operational numerical prediction model winds of National Oceanic and Atmospheric Administratiton (NOAA) of the United States were evaluated. The analysis indicates that the accuracy and spatial/temporal variation of the sea surface winds are both reasonably good.Sensitivity studies of 2DVAR method with and without regularization of wind vorticity and divergence were performed for a typhoon case in 2008. The sensitivity studies show that 2DVAR with regularization effectively overcomes the over-fitting problems with smoother blended wind field. The spurious structure of false vorticity and divergence was effectively removed.The blended wind products with and without regularization terms in 2DVAR method were then evaluated using wind observations from an automatic meteorological observatorythan that produced from simple 2DVAR method, in terms of small bias and small root mean square errors (RMSE).As a final remark, the method described in this study can in South China Sea. The blended wind with regularization is more accurate in comparison with the insitu observation significantly reduce the noise level of scatterometer winds and keep the necessary information of wind vorticity and divergence. It is expected that the 2DVAR wind bl
{"title":"Research on the method of constructing sea surface blended wind product considering vorticity and divergence variation","authors":"Yuan Liu, Jianxia Guo","doi":"10.1109/ICMO49322.2019.9025956","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025956","url":null,"abstract":"The sea surface vector winds drive and modulate the heat and momentum transfer through the oceanatmosphere interface, influence the thermal and dynamical properties of ocean water body, and consequently determine the water cycle, ocean circulation and climate change on global scale. The spatial variation of sea surface winds is an important driving force for ocean dynamics. The vorticity of sea surface winds drives the ocean circulation through Sverdrup transport on basin scale, the divergence of surface winds efficiently affects the Ekman pumping, and thus the physical and biological processes over the global oceans.With the increasing sampling frequencies of satellite-borne scatterometer, it is vitally important to construct a long-time series of sea surface blended wind product for climate studies and numerical modeling studies as the forcing field. Previous studies have shown that wind fields with different spatial and temporal resolution have an apparent influence on numerical model results. Using the scatterometer winds and operational numerical model winds, this thesis aims to find an optimal wind blending method to merge winds from different sources, while effectively to retain the vorticity and divergence information in the blended wind products. The main findings of the thesis are listed as follows:Based on the 2-dimensional varational method (2DVAR) for wind blending, regularized terms for wind vorticity and divergence were introduced in the methodology to overcome the over-fitting problems associated with the 2DVAR method, and to retain the fine structure of scatterometer observed wind vorticity and divergence.Using the insitu wind observations in South China Sea, the QuikSCAT scatterometer winds and the global operational numerical prediction model winds of National Oceanic and Atmospheric Administratiton (NOAA) of the United States were evaluated. The analysis indicates that the accuracy and spatial/temporal variation of the sea surface winds are both reasonably good.Sensitivity studies of 2DVAR method with and without regularization of wind vorticity and divergence were performed for a typhoon case in 2008. The sensitivity studies show that 2DVAR with regularization effectively overcomes the over-fitting problems with smoother blended wind field. The spurious structure of false vorticity and divergence was effectively removed.The blended wind products with and without regularization terms in 2DVAR method were then evaluated using wind observations from an automatic meteorological observatorythan that produced from simple 2DVAR method, in terms of small bias and small root mean square errors (RMSE).As a final remark, the method described in this study can in South China Sea. The blended wind with regularization is more accurate in comparison with the insitu observation significantly reduce the noise level of scatterometer winds and keep the necessary information of wind vorticity and divergence. It is expected that the 2DVAR wind bl","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"3 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":"123484604","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/ICMO49322.2019.9026140
Qiuchen Zhang, Jun Wang
Ground-based microwave radiometer (MWR) utilizes in this study is RPG-HTAPRO-G3, which measures the atmospheric radiation characteristics at 7 oxygen channels and 7 water vapor channels to obtain atmospheric thermodynamic profiles. The reliability of 14 channels brightness temperature (BT)from MWR is tested by contrasting the BTs simulated by the monochromatic radiative transfer model MonoRTM in Linux with that observed by MWR. The results show that BTs of oxygen channels have better correlation and consistency than BTs of water vapor channels. The correlation coefficients are 0.99 and 0.92 respectively. By comparing the mean bias (MB) and root-mean-square error (RMSE) of retrieval products from MWR and L-band radiosonde in different height of non-rainy day, temperature below 4000m is generally more accurate than in other height, the value of MB of temperature is -1.5-1.0.The difference of MB and RMSE of water vapor density is small and consistent. The MB value of water vapor density is positive. The RMSE of water vapor density (0-0.6 g/m3) decreases with height. The MB and RMSE of relative humidity are higher than temperature and water vapor density obviously. Atmospheric instability indices, such like K Index (KI), Lifting Index (LI), Showalter Index (SI), Total Total Index (TTI) and Convective Available Potential Energy (CAPE) derived from MWR are examined by the L-band radiosonde data in one year. The results show that correlation coefficients of 5 instability indices are 0.72, 0.93 0.86,0.76 and0.62.
{"title":"A Study of Accuracy of Brightness Temperature and Retrieval Products From Ground-based Microwave Radiometer","authors":"Qiuchen Zhang, Jun Wang","doi":"10.1109/ICMO49322.2019.9026140","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9026140","url":null,"abstract":"Ground-based microwave radiometer (MWR) utilizes in this study is RPG-HTAPRO-G3, which measures the atmospheric radiation characteristics at 7 oxygen channels and 7 water vapor channels to obtain atmospheric thermodynamic profiles. The reliability of 14 channels brightness temperature (BT)from MWR is tested by contrasting the BTs simulated by the monochromatic radiative transfer model MonoRTM in Linux with that observed by MWR. The results show that BTs of oxygen channels have better correlation and consistency than BTs of water vapor channels. The correlation coefficients are 0.99 and 0.92 respectively. By comparing the mean bias (MB) and root-mean-square error (RMSE) of retrieval products from MWR and L-band radiosonde in different height of non-rainy day, temperature below 4000m is generally more accurate than in other height, the value of MB of temperature is -1.5-1.0.The difference of MB and RMSE of water vapor density is small and consistent. The MB value of water vapor density is positive. The RMSE of water vapor density (0-0.6 g/m3) decreases with height. The MB and RMSE of relative humidity are higher than temperature and water vapor density obviously. Atmospheric instability indices, such like K Index (KI), Lifting Index (LI), Showalter Index (SI), Total Total Index (TTI) and Convective Available Potential Energy (CAPE) derived from MWR are examined by the L-band radiosonde data in one year. The results show that correlation coefficients of 5 instability indices are 0.72, 0.93 0.86,0.76 and0.62.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"31 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":"124029731","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/ICMO49322.2019.9026033
Chen Yao, Xia Lianghua, G. Ran, Yan Linming, Chen Rui, Z. Yanping
Experimental research of sonde free jettison from a high altitude long endurance (HALE) unmanned air vehicle (UAV) model was carried out. The sonde model and its ejection mechanism were designed according to the principle of dynamic similarity. Influences of different conditions to the sonde jettison were studied by analyzing the sonde trajectory and attitude recorded by high speed cameras. Results show that the sonde doesn't collide with the UAV in the experiments. And the flight altitude, Mach number and angle of attack have little influences on the sonde jettison, but the angle of side-slip show great influence.
{"title":"Experimental Research of Sonde Free Jettison from UAV","authors":"Chen Yao, Xia Lianghua, G. Ran, Yan Linming, Chen Rui, Z. Yanping","doi":"10.1109/ICMO49322.2019.9026033","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9026033","url":null,"abstract":"Experimental research of sonde free jettison from a high altitude long endurance (HALE) unmanned air vehicle (UAV) model was carried out. The sonde model and its ejection mechanism were designed according to the principle of dynamic similarity. Influences of different conditions to the sonde jettison were studied by analyzing the sonde trajectory and attitude recorded by high speed cameras. Results show that the sonde doesn't collide with the UAV in the experiments. And the flight altitude, Mach number and angle of attack have little influences on the sonde jettison, but the angle of side-slip show great influence.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"55 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":"128306748","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/ICMO49322.2019.9026145
Mengxing Xu, Hongbin Wang
The one-dimensional time axis on which the current meteorological observation platform depends is transformed into a two-dimensional coordinate system, i.e. one dimension, multi-source observation instruments, data and products are added. This dimension shows the observation occurring at a certain time node. The multi-source observations at the same time are vertically arranged to be distinguished by icons or colors. In this study, real-time display and rendering of scenes are realized through real-time efficient local multi-level of detail loading and adaptive multi-level caching of large-scale 3D spatial data and the dynamic interaction of multi-source observation information is realized by combining the CPU/GPU graphics hardware accelerated rendering technology of OpenGL+Shader. The platform is upgraded from one dimension of time to two dimensions of time and observation, which greatly expands the selection and change space of independent variables, thus the capacity of dependent variables is also greatly increased. Theoretically, it can accommodate all kinds of observation data and products. Through seamless connection on one page, it can freely schedule, switch and superimpose all kinds of observation information, enabling business researchers to efficiently and intensively obtain comprehensive meteorological observation data products, and carry out analysis and application.
{"title":"Two-dimensional Comprehensive Meteorological Observation Platform Based on Combination of Timeline and Observation Data Products","authors":"Mengxing Xu, Hongbin Wang","doi":"10.1109/ICMO49322.2019.9026145","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9026145","url":null,"abstract":"The one-dimensional time axis on which the current meteorological observation platform depends is transformed into a two-dimensional coordinate system, i.e. one dimension, multi-source observation instruments, data and products are added. This dimension shows the observation occurring at a certain time node. The multi-source observations at the same time are vertically arranged to be distinguished by icons or colors. In this study, real-time display and rendering of scenes are realized through real-time efficient local multi-level of detail loading and adaptive multi-level caching of large-scale 3D spatial data and the dynamic interaction of multi-source observation information is realized by combining the CPU/GPU graphics hardware accelerated rendering technology of OpenGL+Shader. The platform is upgraded from one dimension of time to two dimensions of time and observation, which greatly expands the selection and change space of independent variables, thus the capacity of dependent variables is also greatly increased. Theoretically, it can accommodate all kinds of observation data and products. Through seamless connection on one page, it can freely schedule, switch and superimpose all kinds of observation information, enabling business researchers to efficiently and intensively obtain comprehensive meteorological observation data products, and carry out analysis and application.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"1 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":"128971785","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/ICMO49322.2019.9025961
X. Fang, W. Qiang, Du Zhengjing, Yang Chaomei
Fanjing Mountain scenic spot with the highest altitude of 2572m, is a 5A level scenic spot in Guizhou Province and it belongs to Jiangkou county with the altitude of 362m. Due to the obvious difference in altitude, historical observation data of Jiangkou county can not well reflect the historical climate characteristics of Fanjing Mountain scenic spot.In this paper, a multiple regression model is established based on the observation elements of temperature, humidity, wind, rainfall and other automatic stations in Fanjing Mountain scenic spot and Jiangkou county on the same day from 2016 to 2018. The differences of temperature, humidity, wind etc. and tourism climate suitability between Fanjing Mountain scenic spot and Jiangkou county were analyzed. The results show: The simulation value of average temperature error between $pm 2^circ$ in regression model accounts for 70.8%, and the maximum temperature error is slightly higher,but they are better than the calculated values of temperature decline rate. The ratio of average relative humidity error within $pm 10%$ is 75.8%.The average maximum temperature in Fanjing Mountain of reconstruction historical data from 1980 to 2014 is 12.8${^circ}$, and the average annual temperature is 8.7 ${^circ}$, which is 8.4${^circ}$ and 7.7${^circ}$ lower than Jiangkou county respectively. They are about 5${^circ}$ higher than the calculated values of temperature decline rate.InJiangkou county, the average temperature and the maximum temperature in 35 years shows an upward trend, but the annual change trend of Fanjing Mountain temperature is not obvious. The annual average humidity (94%) and wind speed (4.8m/s) in Fanjing Mountain are higher than those of Jiangkou county (80.8% and 1.2m/s), and their annual change trend is consistent with that of Jiangkou county, showing a downward trend. The tourism climate suitability of Fanjing Mountain and Jiangkoucounty is analyzed comparatively. The winter tourism climate suitability of Jiangkou county is general, the rest months are suitable, and the tourism climate suitability index in July and August is lower than 70. However, Fanjing Mountain is suitable in summer, and its tourism climate suitability index is higher than 70, but its tourism suitability is poor from January to April and from October to December. The reconstruction of historical data of Fanjing Mountain scenic spot provides data support for the analysis of three-dimensional tourism climate resources and the development of summer tourism economy.
{"title":"Reconstruction of Historical Data and Analysis on Three-dimensional Tourism Climate Resources in Fanjing Mountain Scenic Spot","authors":"X. Fang, W. Qiang, Du Zhengjing, Yang Chaomei","doi":"10.1109/ICMO49322.2019.9025961","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025961","url":null,"abstract":"Fanjing Mountain scenic spot with the highest altitude of 2572m, is a 5A level scenic spot in Guizhou Province and it belongs to Jiangkou county with the altitude of 362m. Due to the obvious difference in altitude, historical observation data of Jiangkou county can not well reflect the historical climate characteristics of Fanjing Mountain scenic spot.In this paper, a multiple regression model is established based on the observation elements of temperature, humidity, wind, rainfall and other automatic stations in Fanjing Mountain scenic spot and Jiangkou county on the same day from 2016 to 2018. The differences of temperature, humidity, wind etc. and tourism climate suitability between Fanjing Mountain scenic spot and Jiangkou county were analyzed. The results show: The simulation value of average temperature error between $pm 2^circ$ in regression model accounts for 70.8%, and the maximum temperature error is slightly higher,but they are better than the calculated values of temperature decline rate. The ratio of average relative humidity error within $pm 10%$ is 75.8%.The average maximum temperature in Fanjing Mountain of reconstruction historical data from 1980 to 2014 is 12.8${^circ}$, and the average annual temperature is 8.7 ${^circ}$, which is 8.4${^circ}$ and 7.7${^circ}$ lower than Jiangkou county respectively. They are about 5${^circ}$ higher than the calculated values of temperature decline rate.InJiangkou county, the average temperature and the maximum temperature in 35 years shows an upward trend, but the annual change trend of Fanjing Mountain temperature is not obvious. The annual average humidity (94%) and wind speed (4.8m/s) in Fanjing Mountain are higher than those of Jiangkou county (80.8% and 1.2m/s), and their annual change trend is consistent with that of Jiangkou county, showing a downward trend. The tourism climate suitability of Fanjing Mountain and Jiangkoucounty is analyzed comparatively. The winter tourism climate suitability of Jiangkou county is general, the rest months are suitable, and the tourism climate suitability index in July and August is lower than 70. However, Fanjing Mountain is suitable in summer, and its tourism climate suitability index is higher than 70, but its tourism suitability is poor from January to April and from October to December. The reconstruction of historical data of Fanjing Mountain scenic spot provides data support for the analysis of three-dimensional tourism climate resources and the development of summer tourism economy.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"77 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":"129478462","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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