FOLEY, KRISTEN MADSEN. Multivariate Spatial Temporal Statistical Models for Applications in Coastal Ocean Prediction. (Under the direction of Montserrat Fuentes and Lian Xie.) Estimating the spatial and temporal variation of surface wind fields plays an important role in modeling atmospheric and oceanic processes. This is particularly true for hurricane forecasting, where numerical ocean models...

We estimate the internal and external parameters of the camera, and simultaneously the distortion S parameters. Our aim is the selection of the best distortion model, using stiatistical test for the importance of distortion parameters. Also we examine the accuracy in camera parameter estimation and 30 reconstruction, in relation with the noise in the image. We answer the question “until which l...

This paper presents a new method to accurately characterize and predict the annual variation of wind conditions. Estimation of the distribution of wind conditions is necessary (i) to quantify the available energy (power density) at a site, and (ii) to design optimal wind farm configurations. We develop a smooth multivariate wind distribution model that captures the coupled variation of wind spe...

Inherent in all empirical estimates of the geophysical model function (which relates the wind t o the normalized radar cross section, NRCS, of the ocean surface) is uncertainty caused by parameters not included in the empirical model. This can be thought of as variability in the NRCS for given wind conditions. W h e n the estimated variability is included in the max imum likelihood wind retriev...

parameter estimation of the nonlinear muskingum model is a highly nonlinear optimization problem. although various techniques have been applied to optimize the coefficients of the nonlinear muskingum flood routing models, but an efficient method for this purpose in the calibration process is still lacking. the accuracy of artificial bee colony (abc) algorithm is investigated in this paper to op...

The problem of robust control of a wind turbine is considered in this paper. A set of controllers are designed based on a 2 degrees of freedom linearized model of a wind turbine. An extended Kalman filter is used to estimate effective wind speed and the estimated wind speed is used to find the operating point of the wind turbine. Due to imprecise wind speed estimation, uncertainty in the obtain...