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.

Applying Descriptive Statistics to Teaching the Regional Classification of Climate

Abstract: This article describes an exercise for college undergraduate and high school students which relates descriptive statistics measuring central tendency and dispersion to the regional classification of climate. In the exercise students are assigned a set of mean monthly temperature and precipitation statistics for 65 weather stations throughout the conterminous United States. Mean annual temperature and precipitation and their standard deviations are computed for each weather station. These statistics are used to construct two scatter plots of means and standard deviations for both temperature and precipitation. Clusters of points within each scatter plot are then identified to form climatic categories for temperature and precipitation, which are mapped out into temperature and precipitation regions. These maps are overlayed to produce a composite climatic region map. The open-ended nature of the exercise forces students to struggle with the regional classification problem in geography which is not ...

Improving Forecast Accuracy Using a Synthetic Weather Station: An Incremental Approach and BFCom2018 Lessons Leamed

Abstract: Selection of the most appropriate forecast model should be governed by the underlying data. This paper investigates the impact of benchmark model selection, recency effect and synthetic weather station selection techniques on load forecast performance and presents a new weighted average based approach to generate a synthetic weather station. Lessons learned from this effort include the criticality of using benchmark models, the need for additional public datasets, and the value of forecasting competitions for learning and model development. The results from this case study validate that addition of recency effect and use of a synthetic weather station, can provide substantial forecast improvements over benchmark models. The results also demonstrate the potential benefit of using a weighted approach for synthetic weather station generation rather than simple averaging.

Accuracy of weather data in long-term pavement performance program database

Abstract: To provide accurate climatic data for pavements under the Long-Term Pavement Performance (LTPP) Program, a climatic database was developed in 1992 and subsequently revised and expanded in 1998. In the development of this database, up to five nearby weather stations were selected for each test site. Pertinent weather data for the selected weather stations were obtained from the U.S. National Climatic Data Center and the Canadian Climatic Center. With a 1/R2 weighting scheme, site-specific climatic data were derived from the nearby weather station data. The derived data were referred to as "virtual" weather data. To evaluate the effect of environmental factors on pavement performance and design, automated weather stations (AWS) were installed at LTPP Specific Pavement Study Projects 1, 2, and 8 to collect on-site weather data. Since the virtual weather data were developed for all LTPP test sites and will be used for future pavement performance studies, it is essential that the derived virtual data be accura...

Evaluation of the Microlocal Wind Power Potential for the Operation of a University Wind Turbine

Abstract: The research deals with the estimation of the available wind’s potential on the building terrace, at the P-headquarter of the Universidad ECCI of Colombia, and from the results obtained consequently verify if the wind conditions are conducive to the operation of a wind micro-turbine, currently unused. The methodology is based on the wind speed estimation; applying the velocity potential’s law to the records captured, between the 1st of January and the 24th of March, 2015, by the weather station of the National University of Colombia. Once the speed of the wind is estimated in the study area, a frequency velocity distribution is performed and the graphical method is applied to determine the scale, c and shape parameters, k that allow the characterization of the function of the Weibull distribution in the study area. Finally, based on the micro turbine’s specifications, the power that could be usable is estimated and it is theoretically evaluated if the wind conditions are optimal for its operation. Although wind speed data were recorded in the study area, using the Universidad ECCI weather station, they were only used as a benchmark for the estimated velocities. The estimated values of the useful power and the wind power density for the wind micro-turbine, operating at a wind speed of , which represents approximately the average value of the wind speed (obtained with the scale factor of the Weibull function), are respectively and .

Hydrometeorological Hazards in the Volga Federal District

Abstract: The major air temperature anomalies and extreme hydrometeorological phenomena on the territory of the Volga Federal District against a background of the current climate change are analyzed using weather station data and ERA5 reanalysis. A trend is revealed towards a decrease in the annual number of days with minimum temperature below -20°C and towards an increase in the annual number of days with temperature above 25°C. The severe weather events registered in the Republic of Tatarstan and the Udmurt Republic in 1973-2018 are presented as examples. An increase in air temperature extremes in the Volga Federal District and in the frequency of hydrometeorological hazards is observed. The negative consequences of the 2010 heat for the Tatarstan population health are considered.