Pub Date : 2019-12-01DOI: 10.1109/ICMO49322.2019.9025929
Zeng Yong, Xu Yi, Zou Shuping, Zhou Yunjun, Hu HaiXun, Huang Yu
Using X band dual line polarization radar data, atmospheric electric field data and VLF/LF three-dimensional lightning localization data, the electrical characteristic of a thunderstorm process occurring in the platform of the Yunnan-Guizhou Plateau were analyzed in detail, and the precipitation particles in the cloud were inverted based on the fuzzy logic hydrometeor classification(FHC). The results show that: (1) The thunderstorm was tripole charge structure in the development and maturity stage, and there was a certain range of positive charge region at the bottom of thunderstorm cloud. The height of the positive cloud flash was between 1.66˜24.7 km, and the height of the negative cloud flash was between 1.0˜17.12km.The cloud flash mainly occured between the lower positive charge region and the middle negative charge region,.The vertical distribution of the thunderstorm charge structure can be understood by the height distribution of the cloud flash radiation source polarity. (2) In the development and maturity stage of thunderstorm, there were some differences in the number and distribution height of different particles in thunderstorm cloud. The evolution characteristic of graupel particles and ice crystals were consistent with the development and maturity stages of thunderstorm. Combined with atmospheric electric field and lightning location data, the evolution of graupel particle and ice crystal particle was closely related to the electrification of thunderstorm. (3) It can be observed from the vertical distribution characteristic of different particles that the strength of the positive charge region in the lower part of the thunderstorm cloud was most likely determined by the number of graupel particle. The graupel-ice charging mechanism can better interpret the formation of the tripole charge structure of thunderstorm. (4) The cloud flash source information detected by the VLF./LF three-dimensional lightning location system has a certain indication on the general distribution of the thunderstorm cloud charge region. It is necessary to dig deep into the cloud flash information in the future to provide support for the thunderstorm charge structure research
{"title":"Observation and Analysis of the Electrical Characteristic and Precipitation Particle Distribution of a Thunderstorm Process in Yun-Gui Plateau Region","authors":"Zeng Yong, Xu Yi, Zou Shuping, Zhou Yunjun, Hu HaiXun, Huang Yu","doi":"10.1109/ICMO49322.2019.9025929","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025929","url":null,"abstract":"Using X band dual line polarization radar data, atmospheric electric field data and VLF/LF three-dimensional lightning localization data, the electrical characteristic of a thunderstorm process occurring in the platform of the Yunnan-Guizhou Plateau were analyzed in detail, and the precipitation particles in the cloud were inverted based on the fuzzy logic hydrometeor classification(FHC). The results show that: (1) The thunderstorm was tripole charge structure in the development and maturity stage, and there was a certain range of positive charge region at the bottom of thunderstorm cloud. The height of the positive cloud flash was between 1.66˜24.7 km, and the height of the negative cloud flash was between 1.0˜17.12km.The cloud flash mainly occured between the lower positive charge region and the middle negative charge region,.The vertical distribution of the thunderstorm charge structure can be understood by the height distribution of the cloud flash radiation source polarity. (2) In the development and maturity stage of thunderstorm, there were some differences in the number and distribution height of different particles in thunderstorm cloud. The evolution characteristic of graupel particles and ice crystals were consistent with the development and maturity stages of thunderstorm. Combined with atmospheric electric field and lightning location data, the evolution of graupel particle and ice crystal particle was closely related to the electrification of thunderstorm. (3) It can be observed from the vertical distribution characteristic of different particles that the strength of the positive charge region in the lower part of the thunderstorm cloud was most likely determined by the number of graupel particle. The graupel-ice charging mechanism can better interpret the formation of the tripole charge structure of thunderstorm. (4) The cloud flash source information detected by the VLF./LF three-dimensional lightning location system has a certain indication on the general distribution of the thunderstorm cloud charge region. It is necessary to dig deep into the cloud flash information in the future to provide support for the thunderstorm charge structure research","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"42 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":"114239572","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/ICMO49322.2019.9025892
Gu Jian, DuYu Ming, LiYi Cheng
Based on the fact that the x-band weather radar transmits data bandwidth is big in real time, and the distance between the weather station radar and the computer room is far away, a full duplex high-speed data transmission scheme based on optical fiber is designed and implemented on Xilinx FPGA. For the differences between XC7K410T GTX and XC7K325T GTX, it is necessary to adjust the parameters such as pre/deemphasis and receive equalization value, receiving terminal voltage and transmitting differential voltage swing that ensure normal data transmission and reception between the two. The suitable communication parameters for the hardware are measured by IBERT to set the transceiver GTX, and then the high-speed transceiver interface of the system is designed by the custom transmission data frame protocol, and the transmission rate of the single channel 10Gb/s is realized. It has been successfully applied in the x-band dual-polarized weather radar system of the company.
{"title":"Design and Implementation of High Speed Data Transmission for X-Band Dual Polarized Weather Radar","authors":"Gu Jian, DuYu Ming, LiYi Cheng","doi":"10.1109/ICMO49322.2019.9025892","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025892","url":null,"abstract":"Based on the fact that the x-band weather radar transmits data bandwidth is big in real time, and the distance between the weather station radar and the computer room is far away, a full duplex high-speed data transmission scheme based on optical fiber is designed and implemented on Xilinx FPGA. For the differences between XC7K410T GTX and XC7K325T GTX, it is necessary to adjust the parameters such as pre/deemphasis and receive equalization value, receiving terminal voltage and transmitting differential voltage swing that ensure normal data transmission and reception between the two. The suitable communication parameters for the hardware are measured by IBERT to set the transceiver GTX, and then the high-speed transceiver interface of the system is designed by the custom transmission data frame protocol, and the transmission rate of the single channel 10Gb/s is realized. It has been successfully applied in the x-band dual-polarized weather radar system of the company.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"13 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":"116203464","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}
Soil Moisture (SM) is an important parameter to describe water cycle, land condition and soil biology. The spatial resolution of SM data acquired by satellites remote sensing is relatively low, so downscaling techniques are used to obtain high-resolution SM data to meet practice demand. However, there is few downscaling algorithm for SM in complex terrain areas. Temperature Vegetation Drought Index (TVDI) is an intermediate variable between Normalized Vegetation Index (NDVI) and Land Surface Temperature (LST) and TDVI is expected to retrieve SM precisely. This study applies NDVI and LST products of the Moderate Resolution Imaging Spectroradiometer (MODIS), and SM products (in 36 km) of Soil Moisture Active Passive (SMAP) to obtain high-resolution (1 km) SM for Sichuan-Chongqing region. The generated high-resolution results are verified by comparing with the Global Land Surface Data Assimilation System (GLDAS) SM products. Simulation results indicate that the proposed method is effective in complex terrain areas.
土壤湿度(SM)是描述水循环、土地状况和土壤生物学的重要参数。卫星遥感获取的SM数据空间分辨率相对较低，因此采用降尺度技术获取高分辨率SM数据以满足实际需求。然而，对于复杂地形下的SM，目前很少有降尺度算法。温度植被干旱指数(TVDI)是介于归一化植被指数(NDVI)和地表温度(LST)之间的一个中间变量，TDVI可以精确地反演SM。利用中分辨率成像光谱辐射计(MODIS)的NDVI和LST产品，以及土壤水分主动被动(SMAP)的36 km SM产品，获得川渝地区高分辨率(1 km) SM。通过与全球地表数据同化系统(GLDAS) SM产品的对比，验证了生成的高分辨率结果。仿真结果表明，该方法在复杂地形条件下是有效的。
{"title":"Downscaling of Remote Sensing Soil Moisture Products Based on TVDI in Complex Terrain Areas","authors":"Qingqing Chen, F. Miao, Zi‐Xin Xu, Hao Wang, Ling Yang, Zhiya Tang","doi":"10.1109/ICMO49322.2019.9026012","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9026012","url":null,"abstract":"Soil Moisture (SM) is an important parameter to describe water cycle, land condition and soil biology. The spatial resolution of SM data acquired by satellites remote sensing is relatively low, so downscaling techniques are used to obtain high-resolution SM data to meet practice demand. However, there is few downscaling algorithm for SM in complex terrain areas. Temperature Vegetation Drought Index (TVDI) is an intermediate variable between Normalized Vegetation Index (NDVI) and Land Surface Temperature (LST) and TDVI is expected to retrieve SM precisely. This study applies NDVI and LST products of the Moderate Resolution Imaging Spectroradiometer (MODIS), and SM products (in 36 km) of Soil Moisture Active Passive (SMAP) to obtain high-resolution (1 km) SM for Sichuan-Chongqing region. The generated high-resolution results are verified by comparing with the Global Land Surface Data Assimilation System (GLDAS) SM products. Simulation results indicate that the proposed method is effective in complex terrain areas.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"2 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":"115852780","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/ICMO49322.2019.9026075
Yang Yating, Su Debin, Lu Fangyue, Cao Yang, K. Lu
Observations acquired from Parsivel2 disdrometer located at the haidian station and X-band dual-polarization radar of IAP (Institute of Atmospheric Physics) were compared and analyzed for the process of severe weather in Beijing on July 20, 2016. The radar reflectivity factor from disdrometer and radar are matched and compared using multiple averaging schemes with different grid sizes in neighboring regions considering the consistency of time and space as well. The accuracy of QPE (quantitative precipitation estimation) will be affected by the attenuation of X-band radar, and can be evaluated precisely from disdrometer observation. In this study, disdrometer was used to obtain the precipitation intensity and reflectivity factor. Based on raindrop size distribution observation and the least square method, a Z/R relation was simulated and applied to QPE calculation, QPE from Z/R relationship of convention and correction, polarization parameters derived, disdrometer observed and from automatic rain gauges were compared and validated. The results show that the corrected QPE were much closer to the Parsivel2 observation, and the QPE from polarization parameter was the optimal one.
{"title":"Comparison and Verification of Rainfall Validation with Parsivel2 and X-band Dual-Polarization Radar","authors":"Yang Yating, Su Debin, Lu Fangyue, Cao Yang, K. Lu","doi":"10.1109/ICMO49322.2019.9026075","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9026075","url":null,"abstract":"Observations acquired from Parsivel2 disdrometer located at the haidian station and X-band dual-polarization radar of IAP (Institute of Atmospheric Physics) were compared and analyzed for the process of severe weather in Beijing on July 20, 2016. The radar reflectivity factor from disdrometer and radar are matched and compared using multiple averaging schemes with different grid sizes in neighboring regions considering the consistency of time and space as well. The accuracy of QPE (quantitative precipitation estimation) will be affected by the attenuation of X-band radar, and can be evaluated precisely from disdrometer observation. In this study, disdrometer was used to obtain the precipitation intensity and reflectivity factor. Based on raindrop size distribution observation and the least square method, a Z/R relation was simulated and applied to QPE calculation, QPE from Z/R relationship of convention and correction, polarization parameters derived, disdrometer observed and from automatic rain gauges were compared and validated. The results show that the corrected QPE were much closer to the Parsivel2 observation, and the QPE from polarization parameter was the optimal one.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"38 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":"129995587","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/ICMO49322.2019.9025982
Ke Zhou, Hailei Liu, Xiaobo Deng, Qihong Huang
Air Temperature(Tair),a basic meteorological observation element, is an essential meteorological parameter in physiology, hydrology, meteorology, environment, etc. The Tair data ,which is characterized by high precision, is of great significance for the greenhouse effect, land surface processes and so on. With the advent of high performing imaging instrument onboard geostationary satellites such as Advanced Geostationary Radiation Imager(AGRI) onboard FY-4A of China, it provides high spatial and temporal resolution data. To estimate Tair from such high-resolution data, this paper presents an effective method for estimation Tair based on AGRI data. Different machine learning algorithms–-random forest (RF), k-nearest neighbors(KNN) and extreme gradient boosting(XGB)–-are evaluated for estimation of Tair under clear sky conditions in the Southwest of China. For the training dataset, the two infrared brightness temperatures of AGRI (BT12 and BT13), digital elevation model(DEM), latitude and longitude, surface pressure, time and relative humidity(RH) are selected. The Tair data obtained by National Centers for Environmental Information(NCEI), evaluates different machine learning algorithm performance in the Southwest of China. The results show that the performance of the XGB model is better than RF and KNN with a correlation coefficient (R) of 0.977, a mean bias of -0.036□,and the root mean square error (RMSE) of 1.266□.
{"title":"Estimation of Air Temperature from FY-4A AGRI Data: A Comparison of Different Machine Learning Algorithm","authors":"Ke Zhou, Hailei Liu, Xiaobo Deng, Qihong Huang","doi":"10.1109/ICMO49322.2019.9025982","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025982","url":null,"abstract":"Air Temperature(Tair),a basic meteorological observation element, is an essential meteorological parameter in physiology, hydrology, meteorology, environment, etc. The Tair data ,which is characterized by high precision, is of great significance for the greenhouse effect, land surface processes and so on. With the advent of high performing imaging instrument onboard geostationary satellites such as Advanced Geostationary Radiation Imager(AGRI) onboard FY-4A of China, it provides high spatial and temporal resolution data. To estimate Tair from such high-resolution data, this paper presents an effective method for estimation Tair based on AGRI data. Different machine learning algorithms–-random forest (RF), k-nearest neighbors(KNN) and extreme gradient boosting(XGB)–-are evaluated for estimation of Tair under clear sky conditions in the Southwest of China. For the training dataset, the two infrared brightness temperatures of AGRI (BT12 and BT13), digital elevation model(DEM), latitude and longitude, surface pressure, time and relative humidity(RH) are selected. The Tair data obtained by National Centers for Environmental Information(NCEI), evaluates different machine learning algorithm performance in the Southwest of China. The results show that the performance of the XGB model is better than RF and KNN with a correlation coefficient (R) of 0.977, a mean bias of -0.036□,and the root mean square error (RMSE) of 1.266□.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"4 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":"130707827","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/ICMO49322.2019.9026047
N. Xu, Zhangwei Wang, Zhendong Yao, Weifang Liu, Lin Chen, An Weishi
This paper uses the MaXPol dual-polarization radar data of WeiNing Meteorological Bureau of GuiZhou Province to analyze the hail weather process on September 13, 2019. The research shows that (1) Using the attenuation-corrected X-band data, it is analyzed by comparison method in the echo region and shows that the differential reflectivity (Zdr),the correlation coefficient (ρhv) are high but the differential phase (PhiDP) is low, when the reflectivity (Z) is 50 dBZ or more. (2) Particles of the process are classified by the fuzzy logic method with parameters of Z, Zdr, ρhv and PhiDP. (3) The hail region were identified from the radar echo map and found to be consistent with local weather phenomena.
{"title":"Evidence of dual-polarization detection of V-type hail echo characteristics","authors":"N. Xu, Zhangwei Wang, Zhendong Yao, Weifang Liu, Lin Chen, An Weishi","doi":"10.1109/ICMO49322.2019.9026047","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9026047","url":null,"abstract":"This paper uses the MaXPol dual-polarization radar data of WeiNing Meteorological Bureau of GuiZhou Province to analyze the hail weather process on September 13, 2019. The research shows that (1) Using the attenuation-corrected X-band data, it is analyzed by comparison method in the echo region and shows that the differential reflectivity (Zdr),the correlation coefficient (ρhv) are high but the differential phase (PhiDP) is low, when the reflectivity (Z) is 50 dBZ or more. (2) Particles of the process are classified by the fuzzy logic method with parameters of Z, Zdr, ρhv and PhiDP. (3) The hail region were identified from the radar echo map and found to be consistent with local weather phenomena.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"71 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":"130797259","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}
This study investigated the applicability of Fangshan X-band dual-polarization weather radar in the Mentougou debris-flow event occurred in the afternoon of June 18, 2017. Combined with the surrounding complex topography, the spatiotemporal characteristics of radar reflectivity in a $10 times 10$ km area near the debris-flow explosion point were analyzed with the quality-controlled X-band dual-polarization radar data. The result shows that the occurrence and development of the heavy rainfall event can be effectively captured by the radar in the complex terrain areas where conventional automatic weather stations are scarce. The heavy rainfall lasts from 1230 LST to 1600 LST in the vicinity of the debris-flow, in which two consecutive heavy precipitation periods are observed. During the second period, the maximum reflectivity and the average reflectivity in the analysis area both reach maxima, and a distinct V-shaped gap is observed. Further analysis of quantitative precipitation estimation reveals that the interaction between the upstream water and the strong precipitation is an important cause of this debris-flow event. In conclusion, the X-band dual-polarization radar is capable of capturing the occurrence and development of locally heavy rainfall event in the mountainous area where conventional observations are scare.
{"title":"Observational Analysis of X-band Dual-Polarization Radar for Beijing-Mentougou Debris-Flow Event","authors":"Hui Wang, Xiaoran Zhuang, Q. Meng, Yichen Chen, J. Li, Fugui Zhang","doi":"10.1109/ICMO49322.2019.9026152","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9026152","url":null,"abstract":"This study investigated the applicability of Fangshan X-band dual-polarization weather radar in the Mentougou debris-flow event occurred in the afternoon of June 18, 2017. Combined with the surrounding complex topography, the spatiotemporal characteristics of radar reflectivity in a $10 times 10$ km area near the debris-flow explosion point were analyzed with the quality-controlled X-band dual-polarization radar data. The result shows that the occurrence and development of the heavy rainfall event can be effectively captured by the radar in the complex terrain areas where conventional automatic weather stations are scarce. The heavy rainfall lasts from 1230 LST to 1600 LST in the vicinity of the debris-flow, in which two consecutive heavy precipitation periods are observed. During the second period, the maximum reflectivity and the average reflectivity in the analysis area both reach maxima, and a distinct V-shaped gap is observed. Further analysis of quantitative precipitation estimation reveals that the interaction between the upstream water and the strong precipitation is an important cause of this debris-flow event. In conclusion, the X-band dual-polarization radar is capable of capturing the occurrence and development of locally heavy rainfall event in the mountainous area where conventional observations are scare.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"13 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":"115327136","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/ICMO49322.2019.9026037
Huang Jianzhao, Wangzhou, Zhangxin
Temperature and rainfall elements are widely concerned in meteorological observations. They are widely used in various mode calculations. The accuracy of data collection directly affects the quality of output results of mode calculations. The appearance of temperature and rainfall multi-sensor standard controller improves the accuracy and stability of temperature and rainfall data collection. However, there is still a long way to improve the algorithm for temperature and rainfall multi-sensor. The research methods and forms provided in this paper can help researchers quickly verify and improve the algorithm. It has a catalytic effect on accelerating the maturity of technology. The data of each node is easy to communication with other data processing software. The code logic is clear and easy to change. It can also be used as a learning aid for the internal algorithm of temperature and rainfall multi-sensor standard controller.
{"title":"Python Implementation of Temperature and Rainfall Multi-sensor Standard Controller Algorithm","authors":"Huang Jianzhao, Wangzhou, Zhangxin","doi":"10.1109/ICMO49322.2019.9026037","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9026037","url":null,"abstract":"Temperature and rainfall elements are widely concerned in meteorological observations. They are widely used in various mode calculations. The accuracy of data collection directly affects the quality of output results of mode calculations. The appearance of temperature and rainfall multi-sensor standard controller improves the accuracy and stability of temperature and rainfall data collection. However, there is still a long way to improve the algorithm for temperature and rainfall multi-sensor. The research methods and forms provided in this paper can help researchers quickly verify and improve the algorithm. It has a catalytic effect on accelerating the maturity of technology. The data of each node is easy to communication with other data processing software. The code logic is clear and easy to change. It can also be used as a learning aid for the internal algorithm of temperature and rainfall multi-sensor standard controller.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"86 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":"114393571","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/ICMO49322.2019.9025847
Li Kaiyi, Kang Hengyuan, Meng Huansheng, Z. Fan
Weather radar is the most effective means of monitoring and warning sudden and severe weather. The Doppler weather radar can quantitatively detect the spatial distribution of rainfall echo intensity, radial velocity and velocity spectrum. With its high spatial-temporal resolution, timely and accurate remote sensing detection capability, it has become an important tool for disastrous weather monitoring and early warning. Therefore, it is especially important to ensure the normal operation of the radar. The temperature and humidity inside the radome and equipment room have a great influence on the normal operation of the antenna and the normal operation of the equipment. Due to the separation of many meteorological stations (such as Harbin radar station, Fuyuan radar station). Real-time monitoring of temperature and humidity in the radome and equipment room is difficult. Therefore, the design of a new generation weather radar intelligent monitoring temperature and humidity system based on ZigBee is studied. When the temperature is too high or the humidity is too high. The system can automatically light up and send text messages to the radar support personnel to achieve the alarm effect. Through ZigBee wireless technology, Remotely monitor the temperature and humidity inside the radome and equipment room. It is convenient to master the temperature and humidity environment and ensure the normal operation of the antenna part and the equipment room. Save manpower and resources for radar monitoring temperature and humidity.
{"title":"Design of a New Generation of Weather Radar Intelligent Temperature and Humidity Monitoring System Based on ZigBee","authors":"Li Kaiyi, Kang Hengyuan, Meng Huansheng, Z. Fan","doi":"10.1109/ICMO49322.2019.9025847","DOIUrl":"https://doi.org/10.1109/ICMO49322.2019.9025847","url":null,"abstract":"Weather radar is the most effective means of monitoring and warning sudden and severe weather. The Doppler weather radar can quantitatively detect the spatial distribution of rainfall echo intensity, radial velocity and velocity spectrum. With its high spatial-temporal resolution, timely and accurate remote sensing detection capability, it has become an important tool for disastrous weather monitoring and early warning. Therefore, it is especially important to ensure the normal operation of the radar. The temperature and humidity inside the radome and equipment room have a great influence on the normal operation of the antenna and the normal operation of the equipment. Due to the separation of many meteorological stations (such as Harbin radar station, Fuyuan radar station). Real-time monitoring of temperature and humidity in the radome and equipment room is difficult. Therefore, the design of a new generation weather radar intelligent monitoring temperature and humidity system based on ZigBee is studied. When the temperature is too high or the humidity is too high. The system can automatically light up and send text messages to the radar support personnel to achieve the alarm effect. Through ZigBee wireless technology, Remotely monitor the temperature and humidity inside the radome and equipment room. It is convenient to master the temperature and humidity environment and ensure the normal operation of the antenna part and the equipment room. Save manpower and resources for radar monitoring temperature and humidity.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"393 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":"116015824","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/ICMO49322.2019.9026143
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 (> 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。降雨和冰雹在降水强度(0.1 ~ 1.0 mm / h)时的失误率最高，毛毛雨、雨、雪和冰雹在降水强度(0.1 ~ 1.0 mm / h)时的失误率最高，雨夹雪的失误率最高(> 1.0 mm / h)，仅比降水强度(0.1 ~ 1.0 mm / h)高0.3%。
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