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.

Creating a Climate Zone Map for Mechanistic Empirical Pavement Designs

Abstract: The Enhanced Integrated Climate Model (EICM) in the MechanisticEmpirical (ME) Pavement Design software is an integral part of the ME pavement design process. EICM has a national weather database with hourly data from approximately 800 weather stations for at least 60 months. EICM uses the included historical hourly weather data to model future climatic conditions for accurate prediction of pavement distresses. Recently, many state departments of transportation started to enhance these weather station data by adding more weather stations and/or expanding the number of months of available data. The goal of these efforts is to utilize a weather station very close to the project site and include more historical weather data. In the ME Pavement Design software virtual weather stations can be created by selecting up to six weather stations to model climate change in the vicinity of the project site. However, without having extensive knowledge on regional climatic patterns, the pavement designer may not select the most appropriate weather stations to represent site specific climate conditions. Many states have microclimates due to different geographical or environmental conditions. This paper examines the use of Geographical Information System (GIS) to create a local climate zone map to aid pavement designers to select the most appropriate weather stations for pavement designs. Four climate zone maps were developed using the average low temperatures in January, average high temperatures in July, average precipitation in January and average precipitation in July for the I-94 corridor in Michigan as a case study. Further, the combined effects of these variables were examined by combining above individual climate zone maps into a single composite map using Inverse Distance Weighted (IDW) techniques. The maps show localized climate zones even within the same county highlighting the need of using appropriate weather stations to correctly model the climatic effects in pavement performance. The use of the developed methodology was demonstrated by comparing pavement performance results for a same pavement structure located in different climate zones using MEPDG software.

A Low Cost Automated Weather Station for Real Time Local Measurements

Abstract: In this paper, we present an automated weather station for real time and local measurements, based on an embedded system that continuously measures several weather factors such as temperature, humidity, barometric pressure, wind speed, wind direction, and rainfall. This weather station consists of two parts which are located indoor and outdoor and connected together wirelessly. The outdoor weather station measures the current temperature, humidity, barometric pressure, wind speed, wind direction and recent rain amount. The indoor station displays the outdoor reading as well as the temperature and humidity for the room it is located in, on a graphic liquid crystal display. In addition, this weather information can be accessed from any place through an iOS and Android application called Blynk.

An Estimation of Air Drying Time of Dimensional Lumber

Abstract: To monitor the air-drying time of dimensional lumber, load beams equipped with a data logger were used to collect lumber weight loss data. A weather station on the same site as the air-drying experiment was used to obtain the information regarding air temperature and relative humidity and wind velocity. A multiple regression model for estimating the drying rates for 2-in. × 4-in. × 8-ft (38.5-mm × 90-mm × 250-cm) green spruce/pine dimensional lumber was developed. Data analysis revealed that wind direction did not have a significant effect on the rate of moisture loss. Thus, the resulting regression equation takes temperature, relative humidity, initial moisture content, and wind speed into account. Based on historical weather information for a particular location, the model developed can be used as a practical guideline for estimating air drying time and therefore offers the user a valuable tool for planning green yard inventory.