Weather station

About: Weather station is a research topic. Over the lifetime, 1789 publications have been published within this topic receiving 42864 citations. The topic is also known as: meteorological station & meteorological observation post.

Remote Weather Sensing For Harvesting Conditions

Abstract: Systems and methods for remote query of weather conditions at an agricultural machine use an onboard telemetry unit as a gateway for communication with the machine. The telemetry unit can be coupled to both the machine's electrical system at the machine, and a machine's controller area network (CAN). A user can call up the machine's telemetry unit using a cell phone or personal computer to retrieve weather data such as temperature, humidity and rainfall from a weather station coupled to the machine. A system can provide an alert when a desired predetermined condition is present at a machine, for example an alert that a harvesting or baling condition is present. The system can also enable an operator or fleet manager to check the state of various devices or apparatus at a machine, enabling remote diagnostics via the onboard telemetry unit.

Estimating Reference Evapotranspiration by Hargreaves and Blaney-Criddle Methods in Humid Subtropical Conditions

Abstract: Various methods are available to predict reference evapotranspiration (ETo) but the Penman-Monteith (PM) ETo method has been considered to be the most accurate ETo method to determine ETo. The PM ETo method can be solved by various weather parameters like atmospheric temperature, wind velocity, moisture content and net solar radiations. There are many weather stations in the world that have no complete set of weather parameters to predict ETo by applying PM ETo method. So alternative ETo methods like Hargreaves (HG) and Blaney-Criddle (BC) ETo methods are used which need only a fewer number of weather parameters. In this paper, two ETo methods, HG and BC are compared with PM ETo method in humid subtropical climatic conditions of Islamabad and Kakul (Abbottabad) weather stations. The study indicate that HG ETo method overestimated PM ETo method by 23.78% at Islamabad weather station and 28.47% at Kakul station. The BC ETo method overestimated PM ETo method by 37.93% at Islamabad weather station and by 22.68% at Kakul weather station. The dissimilarity of HG ETo method with PM ETo method with RMSE was 1.09 mm/day at Islamabad weather station and 1.17 mm/day at Kakul weather station. The dissimilarity of BC ETo method with PM ETo method has Root Mean Square Error (RMSE) of 2.86 mm/day at Islamabad weather station and 1.48 mm/day at Kakul weather station.

IoT-based weather station with python user interface for measurement technique of educational purpose

Abstract: A measurement of physical quantities requires the right technique to do it. This is done to obtain the characteristics of the system and an accurate measuring sensor. With accurate measurements, the quality of a sensor or measurement system can be known precisely. Educational method about measuring and calibrating a measuring instrument and control require practical and relevant media to be implemented directly in the field. This article discusses the devising of an Internet of Things (IoT)-based system to measure, read and process the physical quantities of weather conditions. The weather conditions mentioned are; temperature and humidity, intensity of sunlight, rainfall, also wind speed and direction. The reading of these quantities was carried out with analog and digital sensors integrated with the ESP 8266 microcontroller. This sensory system was placed in the field station. The results of reading and processing on the microcontroller are uploaded to the online server. A client system, called a base station, requests periodic sensor data to the server. The results of data acquisition are then processed again in Raspberry Pi media to be displayed in layers and stored in Excel form. The results of this study can be used for calibration media analog and digital sensors that can measure the quantities measured by weather stations. Stored data can also be used as a learning medium Measurement analysis and characterization of measuring instruments.

Outdoor design conditions data for the cities of Iran

Abstract: Outdoor design conditions are one of the main parameter in designing HVAC systems. In this paper, according to the format recommended by American Society of Heating, Refrigeration, and Air-Conditioning Engineers Inc. (ASHRAE), the outdoor design condition for selecting HVAC systems in the most important cities of Iran is presented. The data for selected locations (around 121 stations) derived from official weather station records. Outdoor design condition parameters for winter and summer are derived for 99% and 1% respectively. Other parameters including latitude, longitude, and elevation for each location are also presented. By using the standardized outdoor design condition, the heating and cooling energy consumption can be optimized. Results show unique climate of Iran as a multi-climate country with various kind of climates. This climate and consequent results are compared with neighbors' climate of Iran like Turkey, Saudi Arabia, and United Arab Emirates (UAE).