We have developed a domain agnostic ordinary kriging algorithm accessible via a standardsbased service-oriented architecture for sensor networks. We exploit the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards. We need on-demand interpolation maps so runtime performance is a major priority. Our sensor data comes from wind in-situ observation stations in an area approximate...

Fossil Fuels are always considered as environmental pollutants. On the other hand, the political and economic situations highly affect the price of these fuels. Offshore wind and wave, as renewable energy sources, represent the better alternatives for electricity generation. Therefore, it is necessary that wind speeds effectively be estimated due to the absence of field measurements of the wind...

A FIELD-WISE WIND RETRIEVAL ALGORITHM FOR THE NASA SCATTEROMETER Charles G. Brown Electrical and Computer Engineering Master of Science An alternative to traditional wind retrieval techniques that does not rely on numerical weather prediction winds is developed and applied in this thesis. Traditional satellite scatterometer wind retrieval algorithms consist of point-wise wind estimation and amb...

This paper presents a system for identification of wind features, such as gusts and wind shear. These are of particular interest in the context of energy-efficient navigation of Small Unmanned Aerial Systems (UAS). The proposed system generates real-time wind vector estimates and a novel algorithm to generate wind field predictions. Estimations are based on the integration of an off-the-shelf n...

INTRODUCTION In this paper, X-band COSMO-SkyMed© Synthetic Aperture Radar (SAR) data are first experimented as wind field forcing of coastal wind-wave oceanographic modeling for sea-wave numerical simulation. Experiments consist of numerical wave simulations of the SWAN model accomplished with respect to some relevant wave storms recorded in the test area during the winter season of 2010. The w...

This paper concerns estimation of the uncertainty of the mean wind speed when estimated from a Doppler lidar arc scan, i.e. a certain fraction of a normal conical scan. The subject is timely, as more and more scanning Doppler lidars are used, especially in the wind energy industry. The authors has got accepted a similar paper in Journal of Oceanic and Atmospheric Technology (Wind Measurements f...

Damage of the urban gas network due to an earthquake can cause much loss including fire-induced loss to infrastructure and loss due to interruption of gas service and repairing or replacing of network elements. In this paper, a new fire ignition model is proposed and applied to a conventional semi-probabilistic model for estimating various losses due to damage of an urban gas network in an eart...

wind speed is one of the major parameters required for an estimation of evapotranspiration and determination of crop water requirements. hence, several models and methods have been developed for a prediction of this needed climatic variable. in recent years, by development of soft computing tools, such intelligent systems as artificial neural network (ann) approach have been widely employed in ...

because of the scarcity of in situ measurements, estimation of soil temperature by other means is very indispensable, as for irrigation management and scheduling when in different field conditions. so far, many regression models have been developed for an estimation of soil temperature, using meteorological data under bare soil. throughout this study, the performance of coup simulation model an...

Traditional satellite scatterometer wind retrieval algorithms consist of point-wise wind estimation and pointwise ambiguity removal. Point-wise estimation yields multiple estimates, or ambiguities, for the average near-surface ocean wind in each scatterometer resolution element, requiring subsequent ambiguity removal. Even though some point-wise ambiguity removal techniques achieve a high skill...