Author: Charles E. Long
Publisher:
ISBN:
Category : Frequency spectra
Languages : en
Pages : 130
Book Description
Index and Bulk Parameters for Frequency-direction Spectra Measured at CHL Field Research Facility, September 1995 to August 1996
Author: Charles E. Long
Publisher:
ISBN:
Category : Frequency spectra
Languages : en
Pages : 130
Book Description
Publisher:
ISBN:
Category : Frequency spectra
Languages : en
Pages : 130
Book Description
Index and Bulk Parameters for Frequency-direction Spectra Measured at CHL Field Research Facility, September 1995 to August 1996
Author: C. E. Long
Publisher:
ISBN:
Category : Wind waves
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category : Wind waves
Languages : en
Pages : 0
Book Description
Index and Bulk Parameters for Frequency-Direction Spectra Measured at CHL Field Research Facility, September 1995 to August 1996
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 123
Book Description
This report indexes parameters of and describes a means of access to 2,812 wind wave frequency-direction spectral observations obtained at the U.S. Army Engineer Waterways Experiment Station Field Research Facility from September 1995 to August 1996. An iterative maximum likelihood algorithm is used to estimate directional spectra using signals from a spatial array of 15 bottom-mounted pressure sensors in about 8 m of water, approximately 900 m offshore. Parameters include characteristic wave height, spectral peak frequency and corresponding peak period, peak wave direction, directional spread, and reflection coefficient. Time series graphs of these parameters, as well as local winds, illustrate the salient climatology.
Publisher:
ISBN:
Category :
Languages : en
Pages : 123
Book Description
This report indexes parameters of and describes a means of access to 2,812 wind wave frequency-direction spectral observations obtained at the U.S. Army Engineer Waterways Experiment Station Field Research Facility from September 1995 to August 1996. An iterative maximum likelihood algorithm is used to estimate directional spectra using signals from a spatial array of 15 bottom-mounted pressure sensors in about 8 m of water, approximately 900 m offshore. Parameters include characteristic wave height, spectral peak frequency and corresponding peak period, peak wave direction, directional spread, and reflection coefficient. Time series graphs of these parameters, as well as local winds, illustrate the salient climatology.
Joint Wind Wave Height-frequency-direction Statistics at Two Disparate Sites
Author: Charles Edward Long
Publisher:
ISBN:
Category : Wind waves
Languages : en
Pages : 118
Book Description
Publisher:
ISBN:
Category : Wind waves
Languages : en
Pages : 118
Book Description
Index and Bulk Parameters for Frequency-direction Spectra Measured at CHL Field Research Facility, September 1995 to August 1996
Author: Charles Edward Long
Publisher:
ISBN:
Category : Frequency spectra
Languages : en
Pages : 0
Book Description
This report indexes parameters of and describes a means of access to 2,812 wind wave frequency-direction spectral observations obtained at the U.S. Army Engineer Waterways Experiment Station Field Research Facility from September 1995 to August 1996. An iterative maximum likelihood algorithm is used to estimate directional spectra using signals from a spatial array of 15 bottom-mounted pressure sensors in about 8 m of water, approximately 900 m offshore. Parameters include characteristic wave height, spectral peak frequency and corresponding peak period, peak wave direction, directional spread, and reflection coefficient. Time series graphs of these parameters, as well as local winds, illustrate the salient climatology.
Publisher:
ISBN:
Category : Frequency spectra
Languages : en
Pages : 0
Book Description
This report indexes parameters of and describes a means of access to 2,812 wind wave frequency-direction spectral observations obtained at the U.S. Army Engineer Waterways Experiment Station Field Research Facility from September 1995 to August 1996. An iterative maximum likelihood algorithm is used to estimate directional spectra using signals from a spatial array of 15 bottom-mounted pressure sensors in about 8 m of water, approximately 900 m offshore. Parameters include characteristic wave height, spectral peak frequency and corresponding peak period, peak wave direction, directional spread, and reflection coefficient. Time series graphs of these parameters, as well as local winds, illustrate the salient climatology.
Technical Memodrandum
Author: Waterways Experiment Station (U.S.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 126
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 126
Book Description
Index and Bulk Parameters for Frequency-direction Spectra Measured at CERC Field Research Facility, June 1994 to August 1995
Author: Charles E. Long
Publisher:
ISBN:
Category : Frequency spectra
Languages : en
Pages : 146
Book Description
Publisher:
ISBN:
Category : Frequency spectra
Languages : en
Pages : 146
Book Description
Index and Bulk Parameters for Frequency-direction Spectra Measured at CERC Field Research Facility, September 1988 to August 199 [i.e. 1989]
Author: Charles E. Long
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Index and Bulk Parameters for Frequency-direction Spectra Measured at CERC Field Research Facility, June 1994 to August 1995
Author: C. E. Long
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Real-time Coastal Observing Systems for Marine Ecosystem Dynamics and Harmful Algal Blooms
Author: Babin, Marcel
Publisher: UNESCO
ISBN: 9231040421
Category : Nature
Languages : en
Pages : 880
Book Description
The proliferation of harmful phytoplankton in marine ecosystems can cause massive fish kills, contaminate seafood with toxins, impact local and regional economies and dramatically affect ecological balance. Real-time observations are essential for effective short-term operational forecasting, but observation and modelling systems are still being developed. This volume provides guidance for developing real-time and near real-time sensing systems for observing and predicting plankton dynamics, including harmful algal blooms, in coastal waters. The underlying theory is explained and current trends in research and monitoring are discussed.Topics covered include: coastal ecosystems and dynamics of harmful algal blooms; theory and practical applications of in situ and remotely sensed optical detection of microalgal distributions and composition; theory and practical applications of in situ biological and chemical sensors for targeted species and toxin detection; integrated observing systems and platforms for detection; diagnostic and predictive modelling of ecosystems and harmful algal blooms, including data assimilation techniques; observational needs for the public and government; and future directions for research and operations.
Publisher: UNESCO
ISBN: 9231040421
Category : Nature
Languages : en
Pages : 880
Book Description
The proliferation of harmful phytoplankton in marine ecosystems can cause massive fish kills, contaminate seafood with toxins, impact local and regional economies and dramatically affect ecological balance. Real-time observations are essential for effective short-term operational forecasting, but observation and modelling systems are still being developed. This volume provides guidance for developing real-time and near real-time sensing systems for observing and predicting plankton dynamics, including harmful algal blooms, in coastal waters. The underlying theory is explained and current trends in research and monitoring are discussed.Topics covered include: coastal ecosystems and dynamics of harmful algal blooms; theory and practical applications of in situ and remotely sensed optical detection of microalgal distributions and composition; theory and practical applications of in situ biological and chemical sensors for targeted species and toxin detection; integrated observing systems and platforms for detection; diagnostic and predictive modelling of ecosystems and harmful algal blooms, including data assimilation techniques; observational needs for the public and government; and future directions for research and operations.