 摘要： With the development of Internet of things technology, the real-time collection and transmission of meteorological data has become particularly important. Especially in response to emergencies such as natural disasters, it is very important to improve the efficiency of decision-making by quickly obtaining accurate meteorological observation data. However, the traditional method of meteorological data collection and transmission has a large delay in data acquisition due to the conversion of public network and internal network, which affects the timeliness of emergency decision-making. This paper proposes a solution based on the Internet of things platform combined with MQTT protocol, which aims to realize the efficient and reliable real-time collection and transmission of meteorological data, shorten the data acquisition time, improve the emergency response speed, and meet the needs of temporary observation.

 摘要： With the increase of global climate change and extreme weather events, more and more attention has been paid to the protection of China’s meteorological cultural heritage. Meteorological cultural heritage is an important part of China's cultural heritage, which is unique and non renewable. It is of great significance to the inheritance of China's excellent traditional culture and the construction of a meteorological power. Because it is more special than water conservancy cultural heritage in China's historical development, it is not only a national context, but also mixed with foreign activities. This paper focuses on the protection and research of China's meteorological cultural heritage. Based on the current situation of the protection and utilization of China's meteorological cultural heritage, it analyzes the problems and shortcomings in the current protection work. In response to these problems, some targeted protection measures are proposed, including strengthening the construction of laws and regulations, improving the level of protection technology, enhancing public participation, and promoting the protection and sustainable development of meteorological cultural heritage. The aim is to provide useful references for the protection of China's meteorological cultural heritage in the future.

 摘要： Starting from the Bay of Bengal storm, based on conventional meteorological data, FY2G meteorological satellite data, EC fine grid data and ERA5 reanalysis data, the first rainstorm process in Dehong Prefecture in the early summer of 2024 was analyzed. The results show that the strengthening and northeastward movement of the Bay of Bengal storm "Remal" was the main influencing system for the generation of continuous heavy precipitation in Dehong Prefecture from May 25 to 27, 2024. The establishment and strengthening of the low-level southwest jet stream provided better dynamic, water vapor and energy conditions for the generation of this heavy precipitation. The generation and maintenance of rainstorm required the transportation of a steady stream of water vapor to the rainstorm area, and there was strong convergence of water vapor in the rainstorm area. Therefore, in the forecast of summer rainstorm, whether the low-level jet stream is generated or not is very important for the forecast of rainstorm. In addition, there was a good corresponding relationship between the falling area of heavy precipitation, precipitation intensity and duration, and low-level water vapor convergence area. The establishment of southwest monsoon is of great significance to the beginning date of rainy season in Dehong Prefecture. The beginning date of rainy season in Dehong Prefecture was closely related to the first rainstorm process in Dehong Prefecture in early summer. In the future prediction of the beginning date of rainy season in Dehong Prefecture, the first statewide rainstorm process in early summer should be the key point for the prediction.

 摘要： Based on the high-altitude and ground observation data, as well as physical quantity field data, a cold wave weather process in Northeast China, North China and Inner Mongolia during January 1-6, 2010 was comprehensively analyzed from the aspects of circulation background, circulation situation, influence system, dynamic conditions, water vapor conditions, etc. The results show that the cold wave weather process appeared during the transition of circulation pattern from zonal to meridional type in middle and high latitudes in the northern Hemisphere. Due to the development of the European trough, the strong warm advection was transported to the Ural Ridge, making it strongly developed. The strong northerly wind belt in front of the ridge moved southwards. The warm advection at the rear of the transverse trough and the cold advection in the southeast in front of the transverse trough on the northwest side of Lake Baikal caused the transverse trough to turn upright and moved southwards, and the longitude of the circulation increased continuously to guide cold air to move southwards, resulting in this strong cold air process. The large ground pressure gradient caused by strong cold air and the frontogenesis of strong surface cyclone led to the gale in North China.

 摘要： Based on the data of temperature, precipitation and sunshine at Longhui National Station from 1981 to 2023, the temperature data at 22 regional stations from 2011 to 2023, and lily planting data at L. brownii var. viridulum base, the feasibility of meteorological conditions for the growth of L. brownii var. viridulum was analyzed. The results showed that the climatic conditions in Longhui were generally suitable for planting L. brownii var. viridulum. The southern hilly area was the most suitable climate area, the northern mountainous area was the suitable climate area, and the northwest mountainous area was the more suitable climate area. It can provide favorable meteorological protection for farmers, reduce the impact of adverse meteorological conditions on L. brownii var. viridulum, and improve the economic benefits of lily production by making full use of Longhui climatic conditions and doing a good job in the meteorological service of L. brownii var. viridulum.

 摘要： Based on the meteorological data of 24 automatic stations in Xinfeng County, combined with the climatic conditions for the growth of Morinda officinalis F. C. How and Sarcandra glabra (Thunb.) Nakai, the climate suitability zoning indicators of M. officinalis and S. glabra in Xinfeng County were constructed by relevant statistical methods, and the climate suitability zoning indicators were divided into four grades: most suitable, suitable, sub-suitable and unsuitable. According to the results of expert scores, the relevant growth impact factors were assigned weight values. Based on geographic information system (GIS), the climate suitability zoning of M. officinalis and S. glabra planting in Xinfeng County was carried out. The results show that most areas of Xinfeng County were suitable for planting M. officinalis and S. glabra. Among them, the most suitable planting areas of M. officinalis were mainly distributed in most of Huilong Town, from Jiangnan Community of Fengcheng Street to Yuntianhai area of Meikeng Town, Matouwantian Village and areas to the south, and areas to the south of Zhutong Village, Fengcheng Street. The most suitable areas for S. glabra planting were mainly distributed in Puchang Village of Huilong Town, the northeast of Huangzhai Town, the south of Fengcheng Street, and the central-southern part of Matou Town. The zoning results provide a scientific basis for the rational layout of M. officinalis and S. glabra planting in Xinfeng County.

 摘要： By analyzing the successful case of meteorological support services for the navigation ceremony of Langzhong Airport, the practice experience, existing problems and future improvement directions of aviation meteorological support services were analyzed and summarized to provide reference for the airport and its subsequent aviation meteorological support services in the future.

 摘要： This paper conducted a more comprehensive review and comparative analysis of the two heavy to blizzard processes that occurred in the Beijing area during December 13-15, 2023, and February 20-21, 2024, in terms of comprehensive weather situation diagnosis, forecasting, and decision-making services, and summarized the meteorological service support experience of such heavy snow weather processes. It was found that both blizzard processes were jointly influenced by the 700 hPa southwesterly warm and humid jet stream and the near-surface easterly backflow; the numerical forecast was relatively accurate in the overall description of the snowfall process, and the forecast bias of the position of the 700 hPa southwesterly warm and humid jet stream determined the bias of the snowfall magnitude forecast at a certain point; when a deviation was found between the actual snowfall and the forecast, the cause should be analyzed in a timely manner, and the warning and forecast conclusions should be updated. With the full cooperation of relevant departments, it can greatly make up for the deviation of the early forecast snowfall amount, and ensure the safety and efficiency of people's travel.

 摘要： Based on ground observation data of relative humidity, the prediction performance of STNF and MIFS in each competition area during February 13-26, 2024 was tested and evaluated by using two intelligent forecasting methods (STNF and MIFS). The results show that STNF had better performance in forecasting relative humidity in high-altitude areas, and was suitable for fine forecasting under complex terrain. MIFS improved the short-term forecast of some low-altitude stations, but the long-term reliability was insufficient. STNF method performed better than MIFS during 0-24 h. As the prediction time extended to 24-72 h, the errors of both methods showed a systematic increase trend. STNF had higher precision, lower root mean square error and smaller mean error in most regions under the background of most weather systems, showing its superiority as a forecasting method of relative humidity. However, the precision of MIFS was slightly higher than that of STNF in Liangcheng without system background, revealing that MIFS may also be an effective option in some specific conditions.

 摘要： Based on the data of meteorological elements and concentration of negative ions in the county town station, Luguhe station and Yunjishan station during 2020-2024, the temporal and spatial variations in the concentration of negative ions and their influencing factors in Xinfeng County were analyzed. The results show that the concentration of negative ions was the highest in summer, followed by spring; it was lower in autumn and the lowest in winter. In terms of diurnal variations, it was higher in the early morning and night, and lower in the noon and afternoon, which was closely related to the diurnal variations of human activities and meteorological conditions. The factors that affect the concentration of negative ions in the air are more complex. Besides meteorological factors, vegetation, altitude, human activities and other factors should be considered.