Shoreline change detection using DSAS technique: case of Saint Martin Island, Bangladesh
Abstract Saint Martin, Bangladesh's only coral island, is a popular tourist destination and a
blue economy hub. Saint Martin's shoreline constantly changes due to natural and …
blue economy hub. Saint Martin's shoreline constantly changes due to natural and …
[图书][B] Multisensor data fusion and machine learning for environmental remote sensing
In the last few years the scientific community has realized that obtaining a better
understanding of interactions between natural systems and the man-made environment …
understanding of interactions between natural systems and the man-made environment …
[图书][B] Coastal acoustic tomography
A Kaneko, XH Zhu, J Lin - 2020 - books.google.com
Coastal Acoustic Tomography begins with the specifics required for designing a Coastal
Acoustic Tomography (CAT) experiment and operating the CAT system in coastal seas …
Acoustic Tomography (CAT) experiment and operating the CAT system in coastal seas …
Extended Kalman Filter framework for forecasting shoreline evolution
A shoreline change model incorporating both long‐and short‐term evolution is integrated
into a data assimilation framework that uses sparse observations to generate an updated …
into a data assimilation framework that uses sparse observations to generate an updated …
Shoreline variability from days to decades: Results of long‐term video imaging
The present work characterizes the time‐space scales of variability and forcing
dependencies of a unique 26 year record of daily to hourly shoreline data from a steep …
dependencies of a unique 26 year record of daily to hourly shoreline data from a steep …
The streamflow estimation using the Xinanjiang rainfall runoff model and dual state-parameter estimation method
To accurately estimate floods with hydrological models, the model parameters and the initial
state variables must be known. Good estimations of parameters and initial state variables …
state variables must be known. Good estimations of parameters and initial state variables …
Using deep learning to improve ensemble smoother: Applications to subsurface characterization
Ensemble smoother (ES) has been widely used in various research fields to reduce the
uncertainty of the system‐of‐interest. However, the commonly adopted ES method that …
uncertainty of the system‐of‐interest. However, the commonly adopted ES method that …
Air-sea interaction processes during hurricane Sandy: Coupled WRF-FVCOM model simulations
A fully-coupled atmospheric-ocean model was developed by coupling WRF (Weather
Research and Forecasting Model) with FVCOM (the unstructured-grid, Finite-Volume …
Research and Forecasting Model) with FVCOM (the unstructured-grid, Finite-Volume …
Current separation and upwelling over the southeast shelf of Vietnam in the South China Sea
C Chen, Z Lai, RC Beardsley, Q Xu… - Journal of …, 2012 - Wiley Online Library
The high‐resolution, unstructured grid Finite‐Volume Community Ocean Model (FVCOM)
was used to examine the physical mechanisms that cause current separation and upwelling …
was used to examine the physical mechanisms that cause current separation and upwelling …
A new high‐resolution unstructured grid finite volume Arctic Ocean model (AO‐FVCOM): An application for tidal studies
C Chen, G Gao, J Qi, A Proshutinsky… - Journal of …, 2009 - Wiley Online Library
A spherical coordinate version of the unstructured grid 3‐D FVCOM (finite volume coastal
ocean model) has been applied to the Arctic Ocean to simulate tides with a horizontal …
ocean model) has been applied to the Arctic Ocean to simulate tides with a horizontal …