ADCP-Based Determination of Directional Wave Spectra in the York River Estuary John Brubaker, Lorraine Brasseur Carl Friedrichs, Todd Nelson, Don Wright.

Slides:

Advertisements

Similar presentations

Awinder Kaur National Advanced IPv6 Centre of Excellence University Science Malaysia IPv6 Migration in Malaysias Government Agencies – Issues and Challenges.

Advertisements

Ocean Reference Time-Series Moorings: Acoustics By Bruce M. Howe Applied Physics Laboratory, University of Washington Reference Time-Series Science Team.

M.B.A. II SEMESTER Course No. 208 Paper No. – XVI E-Business Dr.N.C.Dhande Objectives Provide analytical and technical framework to understand the emerging.

ECOOP Meeting March 14-21, 2005 ECOOP WP7 Pierre-Yves LE TRAON Better use of remote sensing and in-situ observing systems for coastal/regional seas Objective.

State of Indiana Business One Stop (BOS) Program Roadmap Updated June 6, 2013 RFI ATTACHMENT D.

Dual Use of a Sediment Mixing Tank for Calibrating Acoustic Backscatter and Direct Doppler Measurement of Settling Velocity (and Related Field Motivation.

Ocean Technology Test Bed Colin Bradley, University of Victoria John Roston, McGill University NEPTUNE Canada VENUS.

Initial Automated Quality Checks for Oil Platform Current Data Don Conlee, Richard Bouchard, Steve Collins and Dave Gilhousen National Data Buoy Center.

Gulf of Mexico Coastal Ocean Observing System Ann E. Jochens Gulf of Mexico Coastal Ocean Observing System Regional Association

Ocean Observing and Forecasting Companies

OPeNDAP at the National Oceanographic Data Center Status Lessons Learned Recommendations.

-101 MACOORA Annual Meeting October 22-23, 2008 Dartmouth, Massachusetts Presenters: Scott Glenn & Josh Kohut.

DATA INTEGRATION DEMONSTRATION QA/QC Focus Quality Assurance of Real Time Ocean Data QARTOD II Feb 28-March 2, 2005 National Federation Of Regional Associations.

The SouthEast Coastal Ocean Observing SECOORA Meeting Regional Association (SECOORA) June 11-12, 2007 SECOORA Data Management and Communications SECOORA.

Parameters and instruments A. Proshutinsky, Woods Hole Oceanographic Institution Science and Education Opportunities for an Arctic Cabled Seafloor Observatory.

Integrated Ocean Observing System Data Management and Communications March 2004 The US Integrated Ocean Observing System (IOOS) Plan for Data Management.

BACKSCATTERING OF SPECTRAL IRRADIANCE BY BUBBLES: HYCODE 2001 Marlon R. Lewis 1,2,Bruce Johnson 2,Alex Hay 2 1 Satlantic Inc. 2 Department of Oceanography.

Model Simulation Studies of Hurricane Isabel in Chesapeake Bay Jian Shen Virginia Institute of Marine Sciences College of William and Mary.

National Oceanic and Atmospheric Administration

Real-time Monitoring of the Derwent and Huon Estuaries in Southern Tasmania Greg Timms Senior Research Scientist Tasmanian ICT Centre, CSIRO 20 May 2009.

New Jersey Coastal Monitoring Network Tom Herrington Research Assistant Professor Davidson Laboratory, Stevens Institute of Technology.

FIELDWORK AT TEIGNMOUTH, UK Overview of the characteristics of the May 2003 Campaign (Phase II 12/05/03 – 30/05/03)

Tools for accessing distributed in-situ data collections Donald W. Denbo, NOAA/PMEL-JISAO Jason E. Fabritz, NOAA/PMEL-JISAO Bernard J. Kilonsky, Sea Level.

Internet & for Learning The ICT in Schools Initiative of the Department of Education and Science 1 Internet & for Learning Course Overview.

Exploring Microsoft Office XP - Microsoft Word 2002 Chapter 61 Exploring Microsoft Word Chapter 6 Creating a Home Page and Web Site By Robert T. Grauer.

Today the system consist of over fifty station. And most stations provide additional data such as wind speed and direction, air temperature, and water.

NYS Department of Environmental Conservation Seeing Sandy’s Impacts with Remote Sensors MODIS satellite view of Hurricane Sandy at 2:20 pm EDT Monday,

Martha's Vineyard Coastal Observatory Shore Lab Meterorological Mast Solent Model R3 Wind speed Wind direction VaiPTU Air Temperature Relative humidity.

ADCP Waves Raw Data Processing

1 Information System Security Assurance Architecture A Proposed IEEE Standard for Managing Enterprise Risk February 7, 2005 Dr. Ron Ross Computer Security.

JCOMM Data Buoy Cooperation Panel October 16, 2006 National Data Buoy Center 2006 Review: A Year of Growth Paul F. Moersdorf, PhD, Director.

John Schroeder – Texas Tech University Mike Biggerstaff – Oklahoma University Dan Cecil – University of Alabama-Huntsville Kurt Gurley – University of.

John T. Gunn, AVDS Manager Earth & Space Research 1910 Fairview Ave. E., Suite 210 Seattle, WA Ph: ; 1 st Joint GOSUD/SAMOS.

Gulf of Maine / Scituate Harbor - Extratropical Domain Shelf Hypoxia ChesROMS Long & Hood UMCES Estuarine Hypoxia Inundation Cyber Infrastructure IOOS.

Bertinoro Advanced Training T-RDI: Marine Measurements 1Mar2007.

A Super-Regional Modeling Testbed for Improving Forecasts of Environmental Processes for the U.S. Atlantic and Gulf of Mexico Coasts Don Wright, SURA Principal.

Super-Regional Modeling Testbed to Improve Forecasts of Environmental Processes for the U.S. Atlantic and Gulf of Mexico Coasts Wright, L.D.; Signell,

L. K. Shay 1, J. Martinez-Pedraja 1, B. K. Haus 1, Brad Parks 1, Peter Vertes 1, Lew Gramer 2, and J. Brewster 1 1 Division of Meteorology and Physical.

DMAC: Infrastructure to enable delivery of IOOS ® information Presentation to the IOOS Advisory Committee Derrick Snowden, System Architect, U.S. IOOS.

CONRAD BLUCHER INSTITUTE ACTIVITIES SUPPORTING TEXAS PORTS AND WATERWAYS OPERATIONS Two Inter-related Services to the Port Community: 1. The Texas Coastal.

NcBrowse A Graphical netCDF/OPeNDAP Browser Donald Denbo 1 & John Osborne 2 1 UW/JISAO-NOAA/PMEL, 2 OceanAtlas Software

NYS Department of Environmental Conservation This graph shows water levels at Albany as Sandy moved in. Did its storm surge have an impact in Albany? Was.

NOAA’s CENTER for OPERATIONAL OCEANOGRAPHIC PRODUCTS and SERVICES NOAA/NOS/CO-OPS Maritime Services Current Observation Project San Francisco Bay and Vicinity.

Automated Weather Observations from Ships and Buoys: A Future Resource for Climatologists Shawn R. Smith Center for Ocean-Atmospheric Prediction Studies.

Modelling the Ocean Response to a Tropical Cyclone on Australia's Northwest Shelf Madeleine Cahill, CMAR Peter Craig, CMAR Mike Herzfeld - CMAR Lou Mason.

Argo workshop in Ghana, December Argo data status & data access.

NSF Ocean Observatories Initiative (OOI) & SOEST/Ocean/PO  Who in SOEST/Ocean/PO is currently involved?  Some opportunities for additional involvement/funding.

IOOS National Glider Data Assembly Center

Ship-based observations: CTD, Nansen and Niskin bottles, inverting thermometer and Acoustic Doppler Current Profiler Ben Lee December 2, 2005 EPS 131.

Strategies For Permanent Access To Scientific Information In Southern Africa Focus On Health And Environmental Information For Sustainable Development.

Evaluation of the Real-Time Ocean Forecast System in Florida Atlantic Coastal Waters June 3 to 8, 2007 Matthew D. Grossi Department of Marine & Environmental.

Physical Conditions 9/16-9/ including Hurricane Isabel inches Hg ft (MLLW) knots inches Atmospheric Pressure.

Irish Sea Public domain: From Irish National Tidegauge NetworkIrish National Tidegauge Network Mean spring tides.

U.S. INTEGRATED OCEAN OBSERVING SYSTEM DATA ACCESS SERVICES Coastal Geotools: Advances in Federal Data Access Services Hassan Moustahfid, Chris Duncombe.

U.S. Integrated Ocean Observing System (IOOS ® ) Z Improve safetyEnhance our economyProtect our environment CIMAR-GOMC meeting – 25 Feb 2015 Zdenka Willis.

NOAA’S CONTRIBUTIONS TO IOOS Michael Szabados NOAA’s, National Ocean Service.

Estuarine Hypoxia Component of Testbed 2 Marjorie Friedrichs, VIMS, lead Carl Friedrichs, VIMS, co-lead Wen Long and Raleigh Hood, UMCES Malcolm Scully,

SIO 218A Observational techniques in physical oceanography Goals/methods: Learn currently used methods and instruments Understand principles of observation/technique.

RD Instruments Home of the ADCP Measuring Water in Motion and Motion in Water AVOIDING BIASED DATA DURING REAL TIME HADCP DATA COLLECTION.

© 2006, iPolicy Networks, Inc. All rights reserved. Security Technology Correlation Proneet Biswas Sr. Security Architect iPolicy Networks

The National Weather Service Goes Geospatial – Serving Weather Data on the Web Ken Waters Regional Scientist National Weather Service Pacific Region HQ.

David McPhee & John Cameron Victorian Regional Water Monitoring Partnership Coordinators.

NOAA IOOS SOS Implementations in 2008 Jeff de La Beaujardière, PhD NOAA IOOS Program DIF Sr Systems Architect.

© 2016 IBM Corporation EsriJS Connector. © 2016 IBM Corporation Overview This presentation is a review of the EsriJS Connector feature introduced in TRIRIGA.

Oceanographic and Meteorological (Metocean) Services

Challenges in Centralized Aggregated Data Quality Control

Tommy Van Horn and Jay Hooper Fall 2007

LCDR John Hendrickson 17SEP2008

An Analysis of San Clemente Basin: Crosshore vs. Alongshore

Presentation transcript:

ADCP-Based Determination of Directional Wave Spectra in the York River Estuary John Brubaker, Lorraine Brasseur Carl Friedrichs, Todd Nelson, Don Wright QARTOD II, February 28 – March 2, 2005

Outline VIMS Observing system overview –The context in which wave data will be provided. –Use observing system to develop/test wave data sampling and QA/QC Preliminary wave analyses –Hurricane Isabel deployment –ADCP/AWAC deployment Addressing challenges of small-amplitude, short-period waves

Global to Local Observing Programs Global: GOOS=Global Ocean Observing System –National: IOOS=Integrated Ocean O S Regional: MACOORA=Mid-Atlantic Coastal Ocean Observing Regional Association -Sub-regional: CBOS=Chesapeake Bay O S -Local: VIMS Observing System -Local: U. Md. -Local: ODU -Local: more!

Blue = proposed

platforms power communications sensors/cameras control/coordination

DODS server Met data wind, air temp… ADCP current ADCP waves Water quality temp, salinity… System overview with respect to DODS/OPeNDAP Camera images internet Matlab command line GUI Observing system web site, portal Models Data analysis OPeNDAP Data Connector Direct URL entry into browser Note: some data is internet accessible with and without DODS.

Outline VIMS Observing system overview –The context in which wave data will be provided. –Use observing system to develop/test wave data sampling and QA/QC Preliminary wave analyses –Hurricane Isabel deployment –ADCP/AWAC deployment Addressing challenges of small-amplitude, short-period waves

Outline VIMS Observing system overview –The context in which wave data will be provided. –Use observing system to develop/test wave data sampling and QA/QC Preliminary wave analyses –Hurricane Isabel deployment –ADCP/AWAC deployment Addressing challenges of small-amplitude, short-period waves

Initial problems when processing with default parameters

Sensitivity to processing parameters—further work underway

Transition Phase I: Emerging observing system –Waves on back burner –600 kHz ADCP –Opportunistic deployments –Results promising, interesting, need work Phase II: Obs sys infrastructure in place –1200 kHz ADCP (also plan to acquire AWAC) –Systematic trials for wave data –Need to identify basic QA/QC acceptance criteria

Outline VIMS Observing system overview –The context in which wave data will be provided. –Use observing system to develop/test wave data sampling and QA/QC Preliminary wave analyses –Hurricane Isabel deployment –ADCP/AWAC deployment Addressing challenges of small-amplitude, short-period waves

Working with vendor, refine post-collection processing

Exploit observing system as development environment Rapid, efficient trials with different (existing) command configurations. In situ development of new data acquisition modes. Independent wave information, initially from images.

VIMS humans RDI ftp, , phone

Cameras are mounted on buoy and on pier piling.

Conclusions In estuaries, wave data from acoustic profilers is highly desirable –Relatively secure on bottom –Along with waves, get currents, backscatter profile, turbulence, water level State of the art inadequate for specification of QA/QC criteria Outlook is promising Observing system infrastructure can facilitate progress