Abstract Numerical weather models (NWMs) are important data sources for space geodetic techniques. Additionally, the Global Navigation Satellite System (GNSS) provides many observations to continuously improve and enhance NWM. Existing comparative analysis experiments on NWM tropospheric GNSS delays suffer from being conducted in highly specific regions with limited spatial coverage; furthermor...

Repeat-pass synthetic aperture radar interferometry is an important tool for measuring earth surface topography and/or surface deformations. These observations, however, are highly affected by the atmosphere. Therefore, an accurate description of atmospheric distortions is very important to improve an accuracy of interferometric measurements. In this paper we discuss influence of hydrometeors o...

The Jordanian construction industry plays an important role in economic production. However, the suffers from delays, which results time, cost, and quality, addition to additional efforts. Researchers have identified main factors of delay, including weather conditions, poor design, planning scheduling, lack experience, change orders, etc. To reduce phenomenon there is a need traditional approac...

the main limitation of radar interferometry in measuring ground displacements is due to phase propagation delays caused by the troposphere. tropospheric water vapor is a major limitation for high precision interferometric synthetic aperture radar (insar)applications. using global meteorological reanalysis models and merisdata are two methods that can be used for correcting the effects of the tr...

Wireless sensor networks (WSNs) have become a novel approach for structural control of civil structures from natural hazards such as earthquakes and extreme weather conditions. Increasing number of research efforts have been made, both theoretically and experimentally, focusing on WSNs in control systems. Compared with traditional wired sensor networks, WSNs have advantages of low cost and conv...

We have analyzed Zenith Wet Delay (ZWD) time series from an experiment over the Madrid (Spain) area obtained from 5 GPS receivers using two different techniques. In the first case a delay correlation analysis of the ZWD time-series has been carried out. We show that for this small network (with a spatial scale of less than 100 km) the correlation between the time series is very strong, and that...

Road traffic safety is the result of a complex interaction of factors, and causes behind road vehicle crashes require different measures to reduce their impacts. This study assesses how strongly the variation in daily winter crash rates associates with weather conditions in Finland. This is done by illustrating trends and spatiotemporal variation in the crash rates, by showing how a GIS applica...

To model and forecast flight delays accurately, it is crucial to harness various vehicle trajectory contextual sensor data on airport tarmac areas. These heterogeneous data, if modelled correctly, can be used generate a situational awareness map. Existing techniques apply traditional supervised learning methods onto historical features route information among different airports predict delay ar...