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.

Weather station device

Abstract: This invention describes a density altitude measuring device whereby the density altitude is calculated based on atmospheric inputs The computer of the density altitude measuring device is connected to temperature, pressure and humidity sensors The sensors send input to the computer describing the ambient atmosphere The computer then takes sufficient samples from the sensors and calculates the density altitude Finally, the data is displayed on a screen, storage device, or printer

Analysis of forest potential fire environment based on GIS and RS

Abstract: Forest fires cause a significant damage for public property by destroying a large tract of forest. Forest fire risk assessment, which based on an integrated index, becomes an important tool for forest fires management. The integrated index includes the information about fuel, topography and weather condition which constitute potential fire environment together. The fuel and weather condition are essential for forest fire occurrence, so the main potential fire environment parameters in the process of the forest fire risk assessment are temperature, fuel moisture content and vegetation status. The environment parameters data for traditional forest fire risk assessment were always obtained from the weather station, but these data are kind of point data. We must interpolate these point data into two-dimension continuous data, but existing interpolating methods produce larger error which we cannot accept if the number of the weather stations is very sparse in study area. Otherwise, not only the current environment status affects the assessment result but the cumulative effect of potential fire environment over longer period before fire event also contributes to the current potential fire environment, which has not been discussed in detail. RS and GIS technology, which can provide time series of continuous data and advanced data processing methods, becomes a viable avenue for providing accurate potential fire environment parameters data for forest fire risk assessment. In this paper, Land Surface Temperature (LST), Fuel Moisture Content (FMC) and Normalized Difference Vegetation Index (NDVI) were used to indicate the potential fire environment. We analyzed the cumulative effect of potential fire environment over one-month period before each of the typical historical forest fires occurrence from the year of 2000 to 2006. The analysis showed that the cumulative effect of the potential fire environment plays positive role on the fire occurrence, especially the cumulative effect of LST. 73% of the Accumulated Land Surface Temperature Departure (ALSTD) is plus over one-month period. Therefore, the variation character of potential fire environment parameters before forest fire occurrence will provide much useful reference information for forest fire risk assessment.

A comparative study on data mining techniques for rainfall prediction in Subang

Abstract: Rainfall prediction is a challenging problem in the meteorological department around the world due to the accurateness of prediction. This paper studies on data mining techniques to predict rainfall using meteorological data of Subang Weather Station collected from January 2009 to December 2016. The data preparation process involves five weather factors which are maximum temperature, minimum temperature, evaporation, wind speed and cloud with 2922 observations. Predictive Decision Tree model, Artificial Neural Network model and Naive Bayes model are developed for rainfall prediction and comparison. Surprisingly, results show that the performance of Decision Tree model is better as compared to the other predictive models with the misclassification rate of 0.15 and RMSE=0.35. Given enough set of data, rainfall can be predict using the data mining techniques.

The Development of the Map of Extreme Ice Loads for ASCE Manual 74

Abstract: In this paper we discuss the development of the map of extreme ice loads with concurrent wind speeds that is in the latest revision of ASCE Manual 74 and in ASCE Standard 7. This map is based on historical weather data from hundreds of weather stations run by the National Weather Service, Air Force, and Federal Aviation Administration. Equivalent uniform radial ice thicknesses on wires perpendicular to the wind direction in past freezing rain storms were determined from the data at each weather station using ice accretion models. Qualitative damage information was obtained for the storms that appeared to be severe enough to damage trees and power lines. This information was used both to check the modeling algorithms and to group the stations into superstations for the extreme value analysis. Ice thicknesses for long return periods were determined by fitting the generalized Pareto distribution to the sample of largest ice thicknesses for each superstation. Wind speeds concurrent with the extreme ice thicknesses were also calculated. In the West, from the Rocky Mountains to the Pacific, ice thickness zones were extrapolated using qualitative information because extreme ice thicknesses have not yet been calculated from the weather data in this region. For application to overhead electrical wires, the mapped ice thicknesses are adjusted for return period, height above ground, topography, and possibly wire orientation.