scholarly journals Observations of coastal sediment dynamics of the Tijuana Estuary Fine Sediment Fate and Transport Demonstration Project, Imperial Beach, California

2012 ◽  
pp. i-29 ◽  
Author(s):  
Jonathan A. Warrick ◽  
Kurt J. Rosenberger ◽  
Angela Lam ◽  
Joanne C. T. Ferreira ◽  
Ian M. Miller ◽  
...  
Geomorphology ◽  
2003 ◽  
Vol 55 (1-4) ◽  
pp. 111-124 ◽  
Author(s):  
Sara Rathburn ◽  
Ellen Wohl

1996 ◽  
Vol 43 (5) ◽  
pp. 565-582 ◽  
Author(s):  
Eric Wolanski ◽  
Nguyen Ngoc Huan ◽  
Le Trong Dao ◽  
Nguyen Huu Nhan ◽  
Nguyen Ngoc Thuy

2010 ◽  
Vol 408 (12) ◽  
pp. 2555-2566 ◽  
Author(s):  
Attila N. Lazar ◽  
Dan Butterfield ◽  
Martyn N. Futter ◽  
Katri Rankinen ◽  
Marie Thouvenot-Korppoo ◽  
...  

2010 ◽  
Vol 36 (2) ◽  
pp. 145-153 ◽  
Author(s):  
B. van Leeuwen ◽  
D.C.M. Augustijn ◽  
B.K. van Wesenbeeck ◽  
S.J.M.H. Hulscher ◽  
M.B. de Vries

2008 ◽  
Vol 77 (4) ◽  
pp. 755-762 ◽  
Author(s):  
Eric Wolanski ◽  
Katharina E. Fabricius ◽  
Timothy F. Cooper ◽  
Craig Humphrey

2016 ◽  
Vol 348 (6) ◽  
pp. 409-410
Author(s):  
Pierre Weill ◽  
Bernadette Tessier

2013 ◽  
Vol 16 (2) ◽  
pp. 458-476 ◽  
Author(s):  
A. M. Y. Kamel ◽  
G. Y. El Serafy ◽  
B. Bhattacharya ◽  
T. van Kessel ◽  
D. P. Solomatine

Modelling fine sediment dynamics, including transport, deposition and re-suspension, is very complex. This led to studies that validate the modelled suspended particulate matter (SPM) based on in-situ measurements. While in-situ measurements are often sparse in time and space, satellite measurements provide us with higher spatial and temporal resolution. This information can be used to validate and enhance the model's capability of predicting the spatial and temporal distribution of SPM. In this paper, the SPM retrieved from the MEdium Resolution Imaging Spectrometer (MERIS) on board European Space Agency's ENVISAT spacecraft is used to carry out a thorough calibration and validation of the SPM description provided by the Delft3DWAQ model of the Southern North Sea for the year 2007. In an uncertainty analysis framework, the key model parameters affecting the SPM distributions were first identified in predefined physical regions. The sensitivity of the model to slight changes in those parameters is tested and the spatial and temporal errors compared to remote sensing images were identified and a new set of parameters has been suggested and further subjected to uncertainty to define prediction intervals of the SPM distribution at a number of locations. The so-called adapted model has been validated against independent data and has shown a decrease in errors, particularly along the Dutch coast.


2014 ◽  
Vol 15 (2) ◽  
pp. 467-479 ◽  
Author(s):  
Ian G. Droppo ◽  
Liana D’Andrea ◽  
Bommanna G. Krishnappan ◽  
Christina Jaskot ◽  
Brian Trapp ◽  
...  

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