The article describes the methods of making short-term weather forecasts and storm warnings in the Hydrometeorological Department of the Republic of Belarus using different sources of in-formation ...(monitoring of synoptic situation, use of various satellite information, radar data etc.). It presents information about an observation network operating in the country (upper-air and surface observations). It also indicates the aims and results of the BALTRAD project resulting in creation of a modern, real-time meteorological radar network which connects the Republic of Belarus and the countries of Baltic region. The article contains short information about use of numerical weather forecasting models, in particular, the mesoscale model WRF-ARW which runs on the cluster system available in the Hydrometeorological Department. The GFS model data (0.25° increment) are used as a source of input data for modelling. Once launched the WRF model generates a forecast with advance time of 48 hours while time resolution of output data is equal to 1 hour. Calculation is performed as per "nested grids" with two domains having spatial resolution of 15 and 3 km which provides detailed information and enables making forecasts of local phenomena. Special attention is paid to products of the department of meteorological forecasts, especially to the hydrometeorological bulletin for the President with its structure being specified. The risk gradations are shown and characterized with allocation of colour codes based thereon in order to introduce respective forecast meteorological products: the weather is not dangerous ("green"); the weather is potentially dangerous ("yellow"); the weather is dangerous ("orange"); the weather is very dangerous ("red").
The article specifies current problems arising during conduction of hydrometeorological activities and the ways they can be solved as indicated in the Strategy for Development of Hydrometeorological and Environmental Monitoring Activities in the Republic of Belarus until 2030.
Monitoring weather conditions is essential in optimizing industries and consumptions and preventing catastrophic accidents. Recently, portable weather stations have taken the central part of weather ...forecasting centers. This paper's fundamental purpose is to explain a new idea to make these portable weather stations consume less energy in their operational cases. Hence, this will lead to a considerable saving in total energy consumption. Fulfilling this purpose using NFC (Near-Field Communication) will clearly distinguish this paper from others. First, the primary meteorological sensors installed in portable weather stations will be discussed. Then the importance of weather monitoring gets mentioned. The prior knowledge and bases of the following parts of the paper will be defined, like NFC, renewable energy sources, and machine learning definitions. The last part is about the procedure that describes how NFC achieves a more optimized network consisting of weather stations. Also, the advantages and disadvantages of this method will be noticed at the end.
IoT based Smart Weather Monitoring System for Poultry Farm Mondol, Jenny Priyanka; Mahmud, Khan Raqib; Kibria, Muhammad Golam ...
2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT),
2020-Nov.-28
Conference Proceeding
The application of Internet of Things (IoT) in a poultry farm allows a real-time monitoring of the context of the farm through notification to smartphone, predicts the context in advance, advises ...right decision at the right time that saves poultry lives, minimize the economic loss, and improves the productivity and quality. Monitoring weather of the poultry farm is one of the important issues that involves monitoring the status of the temperature, humidity, etc. that has impact on raw materials and quality of food, health condition of the poultry, feeding in time, food management, etc. Considering the fact, to improve the management and to increase the efficiency of the farm, an IoT based weather monitoring system for a poultry farm has been proposed in this article. DHT11 is used to measure the temperature and humidity in the proposed system. The collected data is transmitted to a cloud-based server, stored in a database and compared with threshold values continuously. If the stream of data crosses the threshold values and remains higher for certain duration than the system sends an alert message to smartphone and a signal to a buzzer. To validate, the proposed system has been implemented that sends alert messages to smartphone and signals to a buzzer successfully.
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