A statistical approach to ocean model testing and tuning

1996 ◽  
pp. 89-112
Author(s):  
Claude Frankignoul
Keyword(s):  
Statistical Approach ◽  
Ocean Model ◽  
Model Testing

Ocean Model Testing of a Small Semisubmersible

1987 ◽  
Author(s):  
D.R. Shields ◽  
R.F. Zueck ◽  
W.J. Nordell
Keyword(s):  
Ocean Model ◽  
Model Testing

Simulation and model testing of size asymmetric non-additive hard spheres

1997 ◽  
Vol 91 (2) ◽  
pp. 371-375
Author(s):  
ESAM HAMAD
Keyword(s):  
Hard Spheres ◽  
Model Testing

Heat budget responses of the eastern China seas to global warming in a coupled atmosphere-ocean model

2019 ◽  
Vol 79 (2) ◽  
pp. 109-126
Author(s):  
D Tian ◽  
J Su ◽  
F Zhou ◽  
B Mayer ◽  
D Sein ◽  
...  
Keyword(s):  
Global Warming ◽  
Heat Budget ◽  
Eastern China ◽  
Ocean Model ◽  
China Seas ◽  
Eastern China Seas

Delivering Sustainable Water Systems Using Kalman Filter and Statistical Approach

2017 ◽  
Vol 4 (1) ◽  
pp. 41-52
Author(s):  
Dedy Loebis
Keyword(s):  
Kalman Filtering ◽  
Statistical Approach ◽  
Water Systems ◽  
Data Sets ◽  
Pressure Data ◽  
Burst Event ◽  
Sample Data ◽  
Other Information ◽  
Supply Systems ◽  
Frequency Features

This paper presents the results of work undertaken to develop and test contrasting data analysis approaches for the detection of bursts/leaks and other anomalies within wate r supply systems at district meter area (DMA)level. This was conducted for Yorkshire Water (YW) sample data sets from the Harrogate and Dales (H&D), Yorkshire, United Kingdom water supply network as part of Project NEPTUNE EP/E003192/1 ). A data analysissystem based on Kalman filtering and statistical approach has been developed. The system has been applied to the analysis of flow and pressure data. The system was proved for one dataset case and have shown the ability to detect anomalies in flow and pres sure patterns, by correlating with other information. It will be shown that the Kalman/statistical approach is a promising approach at detecting subtle changes and higher frequency features, it has the potential to identify precursor features and smaller l eaks and hence could be useful for monitoring the development of leaks, prior to a large volume burst event.

A Statistical Approach to Two-Parameter Families of Triple Close Approaches in Stellar System (I)

2012 ◽  
Vol 3 (7) ◽  
pp. 306-320
Author(s):  
Ranjeet Kumar ◽  
◽  
Navin Chandra ◽  
Surekha Tomar
Keyword(s):  
Statistical Approach ◽  
Stellar System ◽  
Two Parameter
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