Development of a nested coastal circulation model: Boundary error reduction

A Nested-Grid Ocean Circulation Model for Simulating Three-Dimensional Circulation and Hydrography over Canadian Atlantic Coastal Waters

A one-way nested-grid coastal ocean circulation modeling system was developed for Canadian Atlantic coastal waters based on an operational prototype shelf circulation forecast system known as Dalcoast3 and a high-resolution coastal circulation model developed for Lunenburg Bay (LB) of Nova Scotia. The nested-grid system consists of five relocatable downscaling sub-models, including the outermos...

A New Lagrangian Coastal Circulation Model

A nested circulation model for the North Aegean Sea

A multi-nested approach has been employed for numerical simulations in the northern part of the Aegean Sea in the framework of the MFSTEP (Mediterranean Forecast System: Toward Environmental Predictions) project. The high resolution (∼1.6 km) hydrodynamic model of the North Aegean Sea (NAS) has been nested within a coarser model of the Eastern Mediterranean (resolution ∼3.6 km) which is also ne...

The unbalanced nested error component regression model

This paper considers a nested error component model with unbalanced data and proposes simple analysis of variance (ANOVA), maximum likelihood (MLE) and minimum norm quadratic unbiased estimators (MINQUE)-type estimators of the variance components. These are natural extensions from the biometrics, statistics and econometrics literature. The performance of these estimators is investigated by mean...

Reduction of Temporal Discretization Error in an Atmospheric General Circulation Model

An atmospheric general circulation model (AGCM) is a computer program which numerically integrates the system of partial differential equations which describes the physical laws governing the flow of the Earth’s atmosphere. Integration of AGCM is a central part of weather predictions and climate projections. Currently, due to restrictions on computational costs, most AGCMs adopt relatively low-...