scholarly journals Effect of global mass conservation among geophysical fluids on the seasonal length of day variation

2012 ◽  
Vol 117 (B2) ◽  
pp. n/a-n/a ◽  
Author(s):  
Haoming Yan ◽  
Benjamin F. Chao
Keyword(s):  
Mass Conservation ◽  
Length Of Day ◽  
Geophysical Fluids ◽  
Seasonal Length

scholarly journals Impact of Geophysical Fluids on UT1

2009 ◽  
Vol 5 (H15) ◽  
pp. 213-214
Author(s):  
Richard S. Gross
Keyword(s):  
Solid Earth ◽  
Secular Change ◽  
Length Of Day ◽  
Tidal Dissipation ◽  
The Earth ◽  
Fluid Core ◽  
Period Variations ◽  
Decadal Variations ◽  
Tidal Variations ◽  
Geophysical Fluids

AbstractGeophysical fluids have a major impact on the Earth's rotation. Tidal variations within the oceans are the predominant cause of subdaily length-of-day (lod) variations while those within the solid body of the Earth are a major source of longer period variations; tidal dissipation within the solid Earth and oceans cause a secular change in lod. Fluctuations of the atmospheric winds are the predominant cause of nontidal lod variations on sub-decadal time scales while decadal variations are caused by interactions between the fluid core and mantle.

Detection of an ENSO signal in seasonal length-of-day variations

1996 ◽  
Vol 23 (23) ◽  
pp. 3373-3376 ◽  
Author(s):  
Richard S. Gross ◽  
Steven L. Marcus ◽  
T. Marshall Eubanks ◽  
Jean O. Dickey ◽  
Christian L. Keppenne
Keyword(s):  
Length Of Day ◽  
Seasonal Length

Lectures on waves in geophysical fluids

1984 ◽  
Vol 9 (2) ◽  
pp. 307-346
Author(s):  
D.G. Andrews
Keyword(s):  
Geophysical Fluids

Mixed Layer Models and Their Application to Water Quality Problems

1994 ◽  
Vol 29 (2-3) ◽  
pp. 221-232
Author(s):  
M.J. McCormick
Keyword(s):  
Water Quality ◽  
Mixed Layer ◽  
Thermal Structure ◽  
Mass Conservation ◽  
Eddy Diffusion ◽  
Rate Of Change ◽  
Surface Mixed Layer ◽  
Storm Events ◽  
Quality Model ◽  
Mixing Processes

Abstract Four one-dimensional models which have been used to characterize surface mixed layer (ML) processes and the thermal structure are described. Although most any model can be calibrated to mimic surface water temperatures, it does not imply that the corresponding mixing processes are well described. Eddy diffusion or "K" models can exhibit this problem. If a ML model is to be useful for water quality applications, then it must be able to resolve storm events and, therefore, be able to simulate the ML depth, h, and its time rate of change, dh/dt. A general water quality model is derived from mass conservation principles to demonstrate how ML models can be used in a physically meaningful way to address water quality issues.

Transport of Microorganisms in the Underground – Processes, Experiments and Simulation Models

1991 ◽  
Vol 24 (2) ◽  
pp. 309-314 ◽  
Author(s):  
G. Teutsch ◽  
K. Herbold-Paschke ◽  
D. Tougianidou ◽  
T. Hahn ◽  
K. Botzenhart
Keyword(s):  
Simulation Models ◽  
Mass Conservation ◽  
Breakthrough Curves ◽  
Conservation Equation ◽  
Retardation Factor ◽  
Natural Systems ◽  
Laboratory Setup ◽  
Preliminary Model ◽  
Sand And Gravel ◽  
Mass Conservation Equation

In this paper the major processes governing the persistence and underground transport of viruses and bacteria are reviewed in respect to their importance under naturally occurring conditions. In general, the simulation of the governing processes is based on the macroscopic mass-conservation equation with the addition of some filter and/or retardation factor and a decay coefficient, representing the natural “die-off” of the microorganisms. More advanced concepts try to incorporate growth and decay coefficients together with deposition and declogging factors. At present, none of the reported concepts has been seriously validated. Due to the complexity of natural systems and the pathogenic properties of some of the microorganisms, experiments under controlled laboratory conditions are required. A laboratory setup is presented in which a great variety of natural conditions can be simulated. This comprises a set of 1 metre columns and an 8 metre stainless-steel flume with 24 sampling ports. The columns are easily filled and conditioned and therefore used to study the effects of different soil-microorganism combinations under various environmental conditions. In the artificial flume natural underground conditions are simulated using sand and gravel aquifer material from the river Neckar alluvium. A first set of results from the laboratory experiments is presented together with preliminary model simulations. The large variety of observed breakthrough curves and recovery for the bacteria and viruses under investigation demonstrates the great uncertainty encountered in microbiological risk assessment.

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