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.

Design and implementation of a GPRS remote data logger for weather forecasting

Abstract: This paper presents the design and implementation of a remote data logger based on GPRS connection, used for weather forecasting and statistical deduction of climate. The device presented in this paper is an interface between the weather station and a remote operator. The system is based on a microcontroller, a cellular engine, an SD card and a real time clock and it is able to measure, calculate, store and transmit weather parameters.

Study on Layout Optimization of Automatic Traffic Weather Station in Guizhou Province

Abstract: Based on the data of traffic accidents in Guizhou from 2014 to 2016, the general survey of traffic meteorological disasters and the climatic statistics of Guizhou from 1981 to 2010, the climatic conditions of disaster-causing meteorological factors such as low visibility, road icing, short-time heavy rainfall and rainstorm and their impacts on traffic safety are analyzed. The mileage of G60, G75 and G76 national highways in Guizhou, which are low visibility and easy to freeze, account for 7.0% (28.6%), 29.4% (17.1%) and 25.2% (7.8%) of the total mileage, respectively. Bridges and tunnels in susceptible areas account for 69.2% (80.4%), 87.5% (55.3%) and 53.1% (27.8%) of susceptible sections, respectively. Based on the above research results, the construction layout of traffic automatic weather stations in Guizhou Province is optimized, and the construction ideas of all-factor and non-all-factor traffic automatic weather stations are put forward. According to the distribution of low visibility, road icing, short-time heavy rainfall and rainstorm, the construction density layout is proposed, with a view to providing limited funds, to monitor traffic meteorological conditions more efficiently.

Monte-Carlo Simulation Analysis of Typhoon Extreme Value Wind Characteristics in Guangzhou

Abstract: Based on abundant typhoon observation data obtained from meteorological satellite observation and on-site wind velocity records in Guangzhou weather station from 1949 to 2003,sensitivity indices about several wind field stochastic parameters to typhoon extreme value wind in the region of Guangzhou are calculated by adopting Monte-Carlo typhoon stochastic model and sensitivity analysis technique.With a comparison of the results of the Monte-Carlo simulation and the in-situ observation,those wind field parameters can be optimized easily.The process of extreme value wind prediction is proposed,then typhoon extreme wind characteristics in several typical civil engineering fields nearby Guangzhou weather station are simulated on the basis of Peak Over threshold method and generalized Pareto distribution.Distribution rules are illustrated about gradient wind height,wind profile,extreme wind velocity and gust factor etc..Finally,a comparative study is conducted on the results and those of Chinese Wind Load Code.

Preliminary wind analysis regarding different speed ranges in the city of La Plata, Argentina

Abstract: La Plata city (approximately 800 000 inhabitants) has intense traffic and industrial activity; nevertheless, the city has no governmental air monitoring network for air pollutants and winds have been scarcely studied. Wind observations provided here (covering 1998- 2007) belong to a weather station that was contrasted against the unique governmental site in the city area (the Airport). The present preliminary study analyses wind direction frequencies according to wind speeds and emphasizes wind patters within the first hour after calm occurrences. Results show that independently of the wind speed, wind direction frequency roses are in general similar to each other. Low wind speeds may occur most of the time (on average 58.2 %) and together with calm occurrences (on average 17.1% ) constitute an important factor for the accumulation of air pollutants. The proposed “outgoing of calm” wind direction frequency roses were found to be appropriate to gain knowledge in the structure of winds that transport pollutants towards exposed population after calm occurrences. Long term systematic meteorological fieldworks should be

Comparison of Artificial Neural Network, Linear Regression and Support Vector Machine for Prediction of Solar PV Power

Abstract: Solar Photo voltaic (PV) system’s usage is increasing day by day as a substitute of energy considering about the environmental factors. But at the same time its performance have a huge impact. Due to the uncertainty of solar Photo voltaic (PV) power outputs, an accurate method of predicting the output power is required. Thus, a proper estimation of the solar power must be done. Predicting the solar power will help in optimal planning of PV units in generating or transmission, scheduling of other generators by considering the predicted values etc. This paper deals with a comparison between Machine Learning algorithms on Day-Ahead forecasting of the Solar Photo-voltaic output considering the weather parameters (which include wind speed, humidity, radiance and temperature). Artificial Neural Network, Linear Regression and Support Vector Machine have been considered and a conclusion is drawn based on the results obtained. The objective of the paper is to predict the Solar Power at Amal Jyothi College of Engineering, Kanjirapally, Kottayam. To provide real time values weather station has been used. The daily forecast results will help to improve the forecast accuracy which will eventually help in its proper utilization.