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.

***WITHDRAWN PATENT AS PER THE LATEST USPTO WITHDRAWN LIST***Severe weather detector and alarm

Abstract: A compact, portable weather station for predicting local extreme weather conditions and for reporting remote weather conditions. The weather station has sensors for determining local temperature, barometric pressure, humidity, ambient light, and ambient static charge. A microprocessor has memory for storing data relating to past weather conditions and data processing apparatus and algorithms for determining probable developing weather conditions responsive to sensed local conditions. The weather station has a radio receiver for communicating with global weather reporting communications systems utilizing cellular communications. Operating commands, predicted local weather conditions, and remote weather conditions are annunciated in synthesized voice in any one of a variety of predetermined languages. The weather station includes voice synthesizing and recognition apparatus for annunciating verbal prompts and weather conditions, and for responding to vocal control. The weather station is formed in two separable components, one having sensors and the other having radio communications apparatus. The microprocessor is preferably contained within the component having radio communications apparatus. Each component preferably has a battery for providing power.

Implementation of Microcontroller Based Sensing Unit in Transmitter for Wireless Weather Station

Abstract: This paper deals with the design, development and implementation of sensing unit in transmitter for wireless weather station. The main aim of the proposed system is to design and implement a simple, inexpensive and reliable wireless weather station. The microcontroller scans the sensors, calibrates and compensates their data and communicates the resulting information to the transmitter. These resulting informations are displayed on the LCD that is temperature (oC), humidity (%), pressure (KPa) and wind speed (MH). The transmitter is selected a radio transmitter module that operates at frequency of 433 MHz with optimal range 150m. The transmitter module takes serial input and transmits these signals using radio frequency. The system allows one way communication between two nodes, namely, transmission and reception. The system has many advantages as compared to other weather monitoring systems in term of its smaller size, on-device display, low-cost and greater portability.

Spatially explicit seasonal forecasting using fuzzy spatiotemporal clustering of long-term daily rainfall and temperature data

Abstract: A major limitation of statistical forecasts for specific weather station sites is that they are not spatial in the true sense And while spatial predictions have been studied, their results have indicated a lack of seasonality Global Circulation Models (GCMs) are spatial, but their spatial resolution is rather coarse Here we propose spatially explicit seasonal forecasting, based on the Fuzzy Classification of long-term (40 years) daily rainfall and temperature data to create climate memberships over time and location Data were obtained from weather stations across south-east Australia, covering sub-tropical to arid climate zones Class memberships were used to produce seasonal predictions using correlations with climate drivers and a regression rules approach Therefore, this model includes both local climate feedback and the continental drivers The developed seasonal forecasting model predicts rainfall and temperature reasonably accurately The final 6-month forecast for average maximum temperature and rainfall produced relative errors of 089 and 056 and Pearson correlation coefficients of 083 and 082, respectively

Forest fire risk estimation in a typical temperate forest in Northeastern China using the Canadian forest fire weather index: case study in autumn 2019 and 2020.

Abstract: China's forest cover has increased by approximately 10% as a result of sustainable forest management since the late 1970s. The forest ecosystem area affected by fire is increasing at an alarming rate of approximately 600,000 ha per year. The northeastern part of China, with a forest cover of 41.6%, has the greatest percentage of acres affected by forest fires. This study combines field and satellite weather data to determine factors that influence dead fuel moisture content (FMC). It assesses the use of the Canadian forest fire weather index to determine the daily forest fire danger in a typical temperate forest in Northeastern China during autumn. Based on the Wilcoxon test for paired samples, the observed and predicted values of FMC showed similar variation in eight of eleven sampling sites (72.7%), with a p value > 0.05. Three sampling plots presented lower predicted values of FMC than observed values (27.3%), with a p value < 0.05. The calculation of fire risk using the Canadian Forest Fire Weather Rating System (CFFDRS) in Maoer Mountain forest ecosystems presented low, medium or high risk; thus, the CFFDRS is suitable for determining fire danger in our study region. Along with these results, this study served to compare the use of FMC-metre field data and China Weather Station data to evaluate fire danger. The results of this study led us to suggest the multiplication of meteorological stations in fire-prone regions.