Computation of Long-Term Three-Dimensional Hydrodynamics of New York Bight

A time-varying three-dimensional (3D) numerical hydrodynamic model has been applied to the New York Bight to provide flow fields to a 3D water quality model. The spatial computational domain extends from Cape May, New Jersey at its south-west end and Narragansett Bay, Rhode Island, at the north-east end and seaward to the shelf-break. As illustrated below, the numerical model has more than 2500 active horizontal cells and ten vertical layers. Features of the hydrodynamic model include coupling of temperature grids to better represent geometric features, and an algebraic vertical turbulence model based upon the assumption that turbulence production and dissipation are in equilibrium. Using historical forcing data, flow fields for the period of September 1975 - October 1976 have been computed. These results demonstrate that the numerical model is able to accurately reproduce the observed salinity field

Assessment of Public Groundwater Supplies in Illinois

published or submitted for publicationis peer reviewedOpe

New York Bight Study. Report 1, Hydrodynamic Modeling

Source: https://erdc-library.erdc.dren.mil/jspui/As a part of the New York (NY) Bight Feasibility Study, a three-dimensional hydrodynamic model of the NY Bight was developed and applied by the Coastal Engineering Research Center of the U.S. Army Engineer Waterways Experiment Station. The study used the three-dimensional hydrodynamic model CH3D-WES for this purpose. A 76 x 45 cell boundary-fitted curvilinear grid was employed in the horizontal and five to ten sigma layers were used in the vertical. Steady-state and diagnostic tests were initially performed, using M2 and mixed tides, cross-shelf gradients, winds, and freshwater flows in the Hudson River. All of the tests were successful in reproducing known circulation patterns of the NY Bight system. The model was next successfully calibrated and verified against prototype tidal elevations and currents measured during April and May 1976. As a demonstration of the feasibility of long-term modeling, the hydrodynamics, including salinity and temperature, were simulated for the period April-October 1976. Model results compared favorably with available prototype temperature measurements. Model output was furnished to a water quality model of the NY Bight, which successfully reproduced the hypoxic event of 1976. Model results also were used successfully to run particle tracking and oil spill models of the NY Bight. Finally, the model was demonstrated for the Long Island Sound and East River areas, for the period of May-July 1990. Computed results for elevation, velocity, salinity, and temperature in the Sound as well as net flux in the East River matched measurements reasonably. On the basis of the study results, recommendations are made for monitoring in the NY Bight to improve model predictions in the future. NOTE: This file is large. Allow your browser several minutes to download the file

User's Guide for a Three-Dimensional Numerical Hydrodynamic, Salinity, and Temperature Model of Chesapeake Bay

Source: https://erdc-library.erdc.dren.mil/jspui/A time-varying three-dimensional (3D) numerical hydrodynamic model of Chesapeake Bay has been developed to provide flow fields to a 3D water quality model of the bay. The water surface, 3D velocity field, salinity, and temperature are computed. Major physical processes affecting bay circulation and vertical mixing are modeled. A particular feature of the model is the solution of transformed equations on a boundary-fitted grid in the horizontal plane. This user's guide presents a detailed discussion of theoretical aspects of the 3D model (e.g. , basic equations, boundary conditions, turbulence closure, etc.), followed by a discussion of the organization of the computer code and input data requirements. Listings of portions of the various input data files for an application that simulates the hydrodynamics of the Chesapeake Bay during September 1983 are also provided

Development and Verification of a Three-Dimensional Numerical Hydrodynamic, Salinity, and Temperature Model of Chesapeake Bay. Volume I: Main Text and Appendix D

Source: https://erdc-library.erdc.dren.mil/jspui/A time-varying three-dimensional (3-D) numerical hydrodynamic model of Chesapeake Bay has been developed to provide flow fields to a 3-D water quality model of the bay. The water surface, 3-D velocity field, salinity, and temperature are computed. Major physical processes affecting bay circulation and vertical mixing are modeled. A particular feature of the model is the solution of transformed equations on a boundary-fitted grid in the horizontal plane. The 3-D model has been verified through application to six data sets. The first three were about 1 month long each and represented a dry summer condition, a spring runoff, and a fall wind-mixing event. The last three were yearlong simulations for the years of 1984, 1985, and 1986. These years represent a wet, dry, and average freshwater inflow year, respectively. A major storm in November 1985 over the lower portion of the bay resulted in a 200-year flood on the James River and served to demonstrate the ability of the model to simulate extreme events. Results from these applications demonstrate that the model is a good representation of the hydrodynamics of the Chesapeake Bay and its major tributaries

Data Employed in the Development of a Three-Dimensional, Time-Varying Numerical Hydrodynamic Model of Chesapeake Bay

Source: https://erdc-library.erdc.dren.mil/jspui/A successful calibration/verification of a numerical hydrodynamic model applied to an estuarine/coastal area requires sets of self-consistent data. These data sets must contain freshwater inflows on tributaries; tides at ocean entrances as well as at various interior stations; meteorological data at one or more stations, from which the surface wind stress and heat flux can be determined; and currents, temperature, and salinity at several locations throughout the modeled area, In addition, the bathymetry must also be represented on the numerical grid. This report presents data sets employed in the development of a three-dimensional hydrodynamic model of Chesapeake Bay. Since the Bay is so large, there is a lack of synoptic data throughout the Bay and its tributaries. Three relatively extensive synoptic field data sets were identified for use in this study. These data sets were collected during June-July 1980, April 1983, and September 1983. In addition, for the preliminary calibration of the hydrodynamic model, data from the physical model of Chesapeake Bay located on Kent Island, Maryland, were identified. Data from each set are presented in a combination of graphical and tabular forms

Data Employed In The Development Of A Three-Dimensional, Time-Varying, Numerical Hydrodynamic Model Of Chesapeake

A successful calibration/verification of a numerical hydrodynamic model applied to an estuarine/coastal area requires sets of self-consistent data. These data sets must contain freshwater inflows on tributaries; tides at ocean entrances as well as at various interior stations; meteorological data at one or more stations, from which the surface wind stress and heat flux can be determined; and currents, temperature, and salinity at several locations throughout the modeled area In addition, the bathymetry must also be represented on the numerical grid. This report presents data sets employed in the development of a three-dimensional hydrodynamic model of Chesapeake Bay. Since the Bay is so large, there is a lack of synoptic data throughout the Bay and its tributaries. Three relatively extensive synoptic field data sets were identified for use in this study. These data sets were collected during June-July 1980, April 1983, and September 1983. In addition, for the preliminary calibration of the hydrodynamic model, data from the physical model of Chesapeake Bay located on Kent Island, Maryland, were identified. Data from each set are presented in a combination of graphical and tabular forms.USAE District, Baltimore, Baltimore, MD 21203-171

Supplementary Appendix from The Epigenetic Evolution of Glioma Is Determined by the <i>IDH1</i> Mutation Status and Treatment Regimen

List of collaborator authors</p

Supp Figures from The Epigenetic Evolution of Glioma Is Determined by the <i>IDH1</i> Mutation Status and Treatment Regimen

Supp Figures</p