Using high precision irradiance data from the Southern Great Plains ARM extended facility network [1], we confirm results of initial efforts by the authors to quantify the effective -intrinsic -accuracy of hourly global irradiances derived from geostationary satellite observations. We extend this initial analysis to other components –direct and diffuse – as well as other time steps – 1-minute a...

The problem of describing hourly data of ground ozone is considered. The complexity of high frequency environmental data dynamics often requires models covering covariates, multiple frequency periodicities, long memory, non linearity and heteroscedasticity. For these reasons we introduce a parametric model which includes seasonal fractionally integrated components, self exciting threshold autor...

Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Abstract Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Abstract This study compared a time source hydrograph separation method to a geographic source separation method, to assess if the two methods produced similar results. The time source separation of a hydrograph was performed us...

Agrometeorological stations have horizontal solar irradiation data available, but the design and simulation of photovoltaic (PV) systems require about panel (inclined and/or oriented). Greenhouses for agricultural production, outside large protected production areas, are usually off-grid; thus, variable on plane is critical an optimal PV design. Modeling radiation components (beam, diffuse, gro...

This paper proposes a novel methodology for very short term forecasting of hourly global solar irradiance (GSI). The proposed methodology is based on meteorology data, especially for optimizing the operation of power generating electricity from photovoltaic (PV) energy. This methodology is a combination of k-nearest neighbor (k-NN) algorithm modelling and artificial neural network (ANN) model. ...