Developing observing system products for coastal management: applying surface current monitoring to coastal ocean management

2005 ◽  
Author(s):  
P. Siri ◽  
B. Heneman ◽  
S. Schuchat ◽  
S. Semans ◽  
B. Smyth
Keyword(s):  
Coastal Management ◽  
Surface Current ◽  
Coastal Ocean ◽  
Ocean Management ◽  
Current Monitoring

On the flushing of Port Phillip Bay: an application of HF ocean radar

1999 ◽  
Vol 50 (6) ◽  
pp. 483 ◽  
Author(s):  
A. Prytz ◽  
M. L. Heron
Keyword(s):  
Numerical Models ◽  
Surface Current ◽  
Coastal Ocean ◽  
Current Data ◽  
Surface Currents ◽  
Tidal Forcing ◽  
Residual Currents ◽  
Tidal Component ◽  
The Matrix ◽  
Ocean Radar

HF ocean radar can produce maps of surface current in coastal ocean and estuarine waters by providing coverage in both the space and time dimensions. The deployment of COSRAD in Port Phillip Bay for two successive five-day periods provided hourly values of surface currents over the topographically complex area at the south end of the bay. Analysis of the current data provided tidal ellipses for the validation of numerical models, with resultant residual currents of the order of 0·05 m s–1. The repeated hourly maps were the basis for producing Lagrangian tracks; most tracks resulted in trapped paths which remained for long periods of time in the matrix of channels and sand-banks. A ‘tidal run’ technique was developed to calculate the length of Lagrangian tracks over one phase (ebb or flood) of the main tidal component. All tidal runs were about equal to, or shorter than, the length of the relevant channel; this indicates that tidal forcing is not effective in flushing the bay. In contrast, the observed residual currents can be an effective flushing agent if they persist for three days or longer. It is suggested that phenomena on the scale of meteorological to seasonal forcing are the effective flushing agents for Port Phillip Bay.

Study on the Extraction Method of Wave Spectrum Based on WaMoSII Wave Measuring Information

2013 ◽  
Vol 444-445 ◽  
pp. 1745-1750
Author(s):  
Xin Dong Yang ◽  
Ai Guo Shi ◽  
Zuo Chao Wang ◽  
Bao Zhang Yang ◽  
Ben Hui Zhang
Keyword(s):  
Modulation Transfer Function ◽  
Wave Spectrum ◽  
Surface Current ◽  
Sql Server ◽  
Measuring System ◽  
Modulation Transfer ◽  
Matlab Program ◽  
Radar Information ◽  
Current Monitoring ◽  
Information Database

The wave measuring system can supply massive wave data information, but these data cannot be applied to navigation practice directly. This thesis set WaMoSII(The Wave and Surface Current Monitoring System) as an example , introduced the system and principle of WaMoSII, reprocessed the supplied wave measuring information, and established wave information database based on SQL Server. Through study on the MTF (modulation transfer function), it proved the distribution similarity between practical wave spectrum and the supplied frequency and spectral density information of WaMoSII, then we implemented the function that extracting relative spectrum information then transforming into absolute spectrum information automatically based on MATLAB program, it can provide convenience for wave measuring radar information for navigating application.

scholarly journals Constraints to the implementation of effective environmental management in coastal areas of developing countries

2005 ◽  
Vol 77 (4) ◽  
pp. 613-623 ◽  
Author(s):  
Angela de L.R. Wagener
Keyword(s):  
Environmental Management ◽  
Developing Countries ◽  
Scientific Knowledge ◽  
Coastal Management ◽  
Scientific Information ◽  
Information Level ◽  
Data Gap ◽  
State Of The Environment ◽  
Current Monitoring ◽  
Past Conditions

This paper addresses the limitations the scarcity of reliable scientific information poses to the implementation of effective and sustainable coastal management programmes in developing countries. Alternatives to the current monitoring approaches are suggested as to improve information level on the state of the environment and to decrease data gap on past conditions. The paper aims at encouraging the redesign of monitoring practices in developing countries as to be ground on the best actual scientific knowledge.

scholarly journals Five Year Strategic Plan: To Advance Integrated Multi-use Ocean Management for Massachusetts’ Coastal Ocean Waters

2018 ◽  
Author(s):  
SeaPlan
Keyword(s):  
Health Management ◽  
Strategic Plan ◽  
Management Plan ◽  
Coastal Ocean ◽  
Federal Agencies ◽  
Coastal Resources ◽  
Private Partnership ◽  
Ecological Economic ◽  
Ocean Management ◽  
Near Term

The Massachusetts Ocean Partnership Fund (MOPF) is a broadly representative public-private partnership created to support and advance ecosystem-based integrated multi-use management of the Commonwealth’s coastal ocean resources. By collaborating with others, MOPF will work toward the goals of improving the health, management and understanding of marine and coastal resources to ensure thriving ocean ecosystems and their continued capacity to serve vital ecological, economic, recreational and other needs. MOPF’s primary near-term goal is to support the development and implementation of an integrated multi-use ocean management plan for MA waters as soon as possible. Responsible state, local and federal agencies will develop, implement and enforce the integrated multi-use ocean management plan; MOPF will provide support and coordination for this complex undertaking.This Strategic Plan outlines how MOPF will proceed to achieve its goals in the coming five years.

scholarly journals Improving Surface Current Resolution Using Direction Finding Algorithms for Multiantenna High-Frequency Radars

2019 ◽  
Vol 36 (10) ◽  
pp. 1997-2014 ◽  
Author(s):  
Anthony Kirincich ◽  
Brian Emery ◽  
Libe Washburn ◽  
Pierre Flament
Keyword(s):  
Antenna Arrays ◽  
High Frequency ◽  
Surface Current ◽  
Likelihood Estimation ◽  
Direction Finding ◽  
Coastal Ocean ◽  
Hf Radar ◽  
Detection Methods ◽  
Multiple Signal Classification ◽  
Temporal And Spatial Variability

AbstractWhile land-based high-frequency (HF) radars are the only instruments capable of resolving both the temporal and spatial variability of surface currents in the coastal ocean, recent high-resolution views suggest that the coastal ocean is more complex than presently deployed radar systems are able to reveal. This work uses a hybrid system, having elements of both phased arrays and direction finding radars, to improve the azimuthal resolution of HF radars. Data from two radars deployed along the U.S. East Coast and configured as 8-antenna grid arrays were used to evaluate potential direction finding and signal, or emitter, detection methods. Direction finding methods such as maximum likelihood estimation generally performed better than the well-known multiple signal classification (MUSIC) method given identical emitter detection methods. However, accurately estimating the number of emitters present in HF radar observations is a challenge. As MUSIC’s direction-of-arrival (DOA) function permits simple empirical tests that dramatically aid the detection process, MUSIC was found to be the superior method in this study. The 8-antenna arrays were able to provide more accurate estimates of MUSIC’s noise subspace than typical 3-antenna systems, eliminating the need for a series of empirical parameters to control MUSIC’s performance. Code developed for this research has been made available in an online repository.

Gap Filling of the Coastal Ocean Surface Currents from HFR Data: Application to the Mid-Atlantic Bight HFR Network

2016 ◽  
Vol 33 (6) ◽  
pp. 1097-1111 ◽  
Author(s):  
Erick Fredj ◽  
Hugh Roarty ◽  
Josh Kohut ◽  
Michael Smith ◽  
Scott Glenn
Keyword(s):  
Numerical Models ◽  
Spatial Scales ◽  
Surface Current ◽  
Ocean Surface ◽  
The United States ◽  
Coastal Ocean ◽  
Current Data ◽  
Memory Storage ◽  
Nearshore Processes ◽  
Data Gaps

AbstractHigh-frequency radar (HFR) surface current data are an increasingly utilized tool for capturing complex dynamics of coastal ocean systems worldwide. The radar is uniquely capable of sampling relevant temporal and spatial scales of nearshore processes that impact event response activities and basic coastal ocean research. HFR is a shore-based remote sensing system and is therefore subject to data gaps, which are predominately due to environmental effects, like increased external noise or low signal due to ocean surface conditions. Many applications of these surface current data require that these gaps be filled, such as Lagrangian numerical models, to estimate material transport and dispersion. This study introduces a new penalized least squares regression method based on a three-dimensional discrete cosine transform method to reconstruct hourly HFR surface current data with a horizontal resolution of 6 km. The method explicitly uses both time and space variability to predict the missing value. Furthermore, the method is fast, robust, and requires relatively low computer memory storage. This paper evaluates the method against two scenarios of common data gaps found in HFR networks currently deployed around the world. The validation is based on observed surface current maps along the mid-Atlantic coast of the United States with specific vectors removed to replicate these common gap scenarios. The evaluation shows that the new method is robust and particularly well suited to fill a more common scenario with complete data coverage surrounding an isolated data gap. It is shown that the real-time application of the method is suitable for filling data gaps in large oceanography datasets with high accuracy.

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