WMO 1 WMO Regional Association V Fifteenth Session Bali, Indonesia 30 April – 6 May 2010 Proper...

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WMO 1 WMO Regional Association V Fifteenth Session Bali, Indonesia 30 April – 6 May 2010 Proper Data Management Responsibilities to Meet the Global Ocean Observing System (GOOS) Requirements Dr. William Burnett Data Management and Communications U.S. NOAA/National Data Buoy Center Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

Transcript of WMO 1 WMO Regional Association V Fifteenth Session Bali, Indonesia 30 April – 6 May 2010 Proper...

Page 1: WMO 1 WMO Regional Association V Fifteenth Session Bali, Indonesia 30 April – 6 May 2010 Proper Data Management Responsibilities to Meet the Global Ocean.

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WMO Regional Association VFifteenth Session

Bali, Indonesia30 April – 6 May 2010

Proper Data Management Responsibilities to Meet the Global Ocean Observing System (GOOS) Requirements

Dr. William Burnett

Data Management and Communications

U.S. NOAA/National Data Buoy Center

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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NOAA and Climate/Ocean ObservationsNOAA and Climate/Ocean Observations

• There is an increasing demand for global climate change & ocean information, There is an increasing demand for global climate change & ocean information, services and products – this includes observations from the Indonesian GOOS services and products – this includes observations from the Indonesian GOOS (InaGOOS) and the Indian Ocean equatorial array (RAMA),(InaGOOS) and the Indian Ocean equatorial array (RAMA),

• Partnerships enhance ocean observations in the region and also build the regional Partnerships enhance ocean observations in the region and also build the regional capacity to apply these observations to understand climate risk management, coastal capacity to apply these observations to understand climate risk management, coastal resilience, ecosystems, MPAs, and other socio-economic benefits,resilience, ecosystems, MPAs, and other socio-economic benefits,

• NOAA is interested in advancing a strong, equitable and mutually beneficial NOAA is interested in advancing a strong, equitable and mutually beneficial collaboration with Region V for capacity building, socio-economic applications and collaboration with Region V for capacity building, socio-economic applications and ocean observations in the region, andocean observations in the region, and

• Training & education is important for countries building the next generation ocean Training & education is important for countries building the next generation ocean observatories. NOAA is pleased to be able to provide USA training & educational observatories. NOAA is pleased to be able to provide USA training & educational opportunities through Memorandums Of Understanding or Agreements.opportunities through Memorandums Of Understanding or Agreements.

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International Cooperation

Formal bilateral agreements between NOAA and agencies in: Indonesia--signed in 2007

India--signed in 2008

Japan--signed in 2008

France--planned in 2009

ASCLME (9 East African countries)

Tsunami/RAMA cruise

RV Baruna Jaya III Sept 2007

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87%

Total in situ networks October 200761%

59%

81%

62%73%34%48%

The Initial Global Ocean Observing System for Climate Status against the GCOS Implementation Plan and JCOMM targets

100%

100%

MilestonesDrifters 2005

Argo 2007

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RAMA: Implementation Status

Resource Formula:

Partners provide ship time

NOAA provides most equipment

57% of sites occupied by March 2010 (26 of 46)

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NOAA’s Contributions to Indonesian GOOS (InaGOOS)

NOAA is developing a replacement for the ATLAS system Measurements comparable to ATLAS Use more commercially available components Prototype deployment targeted for October 2010 Deploy near existing ATLAS RAMA moorings for comparison As per IA, 2 systems would eventually serve InaGOOS and RAMA

15-20 Days

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Indonesia MMAF Visit to Indonesia MMAF Visit to NDBC July 2008NDBC July 2008

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Currents StatusMore global ocean observations

http://www.osmc.noaa.gov

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Current StatusExpansion in free data sets

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Current Status“Climate-gate”

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Proper Data Management

• More than just placing a meteorological, oceanographic or geophysical instrument in the water or on the land,

• More that just collecting an observation, and• More than just disseminating the data via a data portal

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WMO Strategic Thrusts

1.Strategic Thrust –

Improving Service Quality and Service Delivery

2. Organization-Wide Expected Results –

Enhanced capabilities of Members to deliver and improve access to high quality weather, climate and water and related environmental predictions, information and services in response to user’s needs and to enable their use in decision-making by all relevant societal sectors.

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Conclusion

Any and all atmospheric, oceanographic and geophysical observations will be considered as a “climate” or high-quality observations – and should be treated as such.

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GCOS Climate Monitoring Principles

1. Assess impact of new systems or changes to existing systems prior to implementation. 2. Ensure a suitable period of overlap for new and old observing systems. 3. The details and history of local conditions, instruments, operating procedures, data processing

algorithms and other factors pertinent to interpreting data (i.e., metadata) should be documented and treated with the same care as the data themselves.

4. Regularly assess quality and homogeneity of data as a part of routine operations. 5. Integrate into national, regional and global observing priorities the needs for environmental

and climate-monitoring products and assessments, such as IPCC assessments.6. Maintain operation of historically-uninterrupted stations and observing systems.7. Focus on data-poor regions, poorly observed parameters, regions sensitive to change, and

key measurements with inadequate temporal resolution as high priorities for additional observations.

8. Specify to network designers, operators and instrument engineers at the outset of system design and implementation the long-term requirements, including appropriate sampling frequencies.

9. Promote the conversion of research observing systems to long-term operations in a carefully-planned manner.

10. Data management systems that facilitate access, use and interpretation of data and products should be included as essential elements of climate monitoring systems.

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1. A quality descriptor will accompany every real-time observation distributed to the ocean community.

2. Subject all observations to some level of automated real-time quality test.3. Sufficiently describe the quality flags and quality test descriptions in the

accompanying metadata.4. Observers should independently verify or calibrate a sensor before

deployment.5. Observers should describe their method / calibration in the real-time

metadata.6. Observers should quantify the level of calibration accuracy and the

associated expected error bounds.7. Manual checks on the automated procedures, the real-time data collected

and the status of the observing system must be provided by the observer on a time-scale appropriate to ensure the integrity of the observing system.

Seven Data Management LawsSeven Data Management Laws

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Recommendation

Region V should begin to implement proper data quality techniques into their newly developed marine observation platforms - now – before the instruments are placed in the water.

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National Data Buoy Center

Weather Forecast Offices/River Forecast Centers

EmergencyManagers

Public

National Environmental Satellite,

Data, and Information Service

(NCDC, NODC, NGDC)

National Centers for

Environmental Prediction

NDBCData Assembly

Center

NWS Global Telecommunication

System (GTS) Operational

Bulletins

DATA COLLECTION DATA DELIVERY

IOOS PartnersPlatforms

HF Radars

Oil & Gas Platforms

NDBC& other NOAAobservations

Electrolyte to Satellite to Website

To provide a real-time, end-to-end capability beginning with the collection of marine atmospheric and oceanographic data and ending with its transmission, quality control and distribution.

Tsunami Warning Centers

Voluntary Observing Ships

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Location of NDBCStennis Space Center

Mississippi

- NDBC

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NWS/NDBC Ocean Observing System of Systems

Weather Buoys that have in place for > 30 Years

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NDBC’s Ocean Observing Systems

111 met/ocean buoys

4 ocean/waves buoys

49 C-MAN stations

39 DART stations

55 TAO buoys + 4 current profiler moorings

1000+ Voluntary Observing Ship vesselsRegional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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Standard 3m & 6m Buoys

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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Other NDBC Platforms: DART®

• Deep-ocean Assessment and Reporting of Tsunamis (DART)

• 39 Stations Since March 2008• ~230 Ship Days - Contract or

NOAA Vessel

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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Other NDBC Platforms: TAO

• Tropical Atmosphere Ocean (TAO) Climate Buoys

• 55 equatorial Pacific buoys• 4 Ocean Current Profilers• 234-278 ship days a year• Typically a NOAA vessel

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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TAO

DART

C-MAN

Weather& Hurric.

1980 1990 2000 2002 2004 2006 2008 2010

0

50

100

150

200

250

300

Growth of NDBC Observing Systems

• 49 CMAN Stations• 96 Weather Buoys• 15 Supplemental Hurricane Buoys• 55 TAO Climate Buoy Systems• 39 DART Tsunami Systems

254 Observing Systems 5 system Types with diverse sensors

~ 25 % in Severe Environments• Challenge Obtaining Ship Days

101 Observing Systems 2 system Types with similar sensors

~ 12 % in Severe Environments• USCG Provided all Ship Days

• 51 CMAN Stations• 50 Weather Buoys

1999 to 2009 - The Era of Explosive Growth

+ 300%

Tsunami

Katrina

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• Mooring, power system, station design• System validation, analysis, evaluation• Technology refresh, prototype testing

Engineering

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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• Buoy repair• Mounts, cable fabrication• Sensor repair, refurbishment and calibration• System integration and testing

Station/Equipment Prep

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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• Field service planning• Arranging ship support• Providing dockside services• Shipping equipment worldwide• Inventory management

Logistics

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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• Multi-disciplined team – technicians, engineers, USCG, NOAA Corps• Worldwide dockside and at-sea repairs and testing• Buoy deployment, retrieval, exchange• Vessels of opportunity – USCG, OMAO, Commercial

Field and At-Sea Maintenance

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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• Oceanographers, meteorologists, IT specialists, programmers • Observations ingest, processing, analysis• Data processing and QC algorithm development for new systems• Observation dissemination and web display• Management of station configuration and metadata

Data Assembly Center

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NDBC WIS / WIGOSData Assembly Center

• 24/7/365 support of– Data Quality Control– Communications– Operations

• Daily Operations Brief• More than 700 stations

currently supported– NDBC Buoys– NDBC C-MAN Stations– NOS Stations– DART– TAO– VOS– Partner Stations

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Hurricane/DART Cruise 2010 M/V HOS MYSTIQUE

Team: Artalona, Kendrick, Obenhaus, Stinson, Tretbar

Winds: WNW 15-25 kt Scattered Showers

Wind waves: 3-5 ft Swell: Negligible

23 Apr23 Apr Service 41048Service 41048

Winds: VAR 5-10 kt

Wind waves: 1-2 ft Swell: N 5-7 ft @ 8-9 sec

24 Apr24 Apr En route to 41047En route to 41047

Winds: S 10-15 kt

Wind waves: 2-3 ft Swell: NNE 3-4 ft @ 9-10 sec

25 Apr25 Apr En route to 41047En route to 41047

Winds: SW 15-20 kt

Wind waves: 3-5 ft Swell: NNE 3-4 ft @ 9-10 sec

26-27 26-27 AprApr

Service 41047Service 41047En route to 41046En route to 41046

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22%

3%

25%

50%

Mission

Reimbursable

NWLON

IOOS Partners

Active reimbursable partnersNational Marine Sanctuary Program Kennedy Space CenterU.S. Marine Corps Goddard Space Flight CenterArmy Corps of Engineers U.S. Coast Guard

NOS/NWLON and other NOAA Obs Independent IOOS observing partners

Gulf of Maine Ocean Observing System Stevens Institute (NJ) International SeaKeepers Society Long Island Ferry Boat University of South Florida Louisiana State University Texas General Land Office University of Connecticut Louisiana Universities Marine Consortium UNC and UNC-W Skidaway Institute of Oceanography Caro-COOPS Scripps Institution of Oceanography Forrest Oil Chesapeake Bay Observing System Shell Oil Monterey Bay Aquarium Research Inst Oregon State University University of Southern Mississippi

NOAA/NDBC Data Assembly Center

0

2

4

6

8

10

2003 2004 2005 2006 2007 2008 2009

Mil

lio

n o

f O

bs

erv

ati

on

s Total Observations flowing through DAC

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Number of IOOS Number of IOOS Partner Stations Partner Stations ReportingReporting

NOS Availability

Reporting 207

Missing 15

0

5

10

15

20

25

30

35

40

45

50

GoM

OO

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WS

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S E

aste

rnG

LER

LU

MIC

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BAR

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of

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Reporting Missing

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U.S. IOOS Partner Support

Providing real-time quality control information to IOOS Partner Platforms... Including QC flags and analyst comments via the website.

http://www.ndbc.noaa.gov/pstat.shtml

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353535

Web Pages ViewedWeb Pages Viewed Apr 2010 - June 2010 Web Pages ViewedApr 2009 - June 2009 Web Pages Viewed

0

500000

1000000

1500000

2000000

2500000

3000000

3500000

4000000

4500000

`

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WIGOSRegional Marine Instrument Center

Joint WMO-IOC Technical Commission for Oceanography and Marine Meteorology (JCOMM) Regional Marine Instrument Center (RMIC) Training Workshop on April 13-15, 2010 for WMO Regional Association IV (RA-IV) at NDBC. Representatives from ten countries participated in this first Workshop. Countries represented were: Bahamas, Costa Rica, NL Antilles, Guatemala, Belize, Canada, France, Barbados, Morocco, and China.

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OceanSITES DAC / Global DAC

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OceanSITES Data Management

Cronin Send Pattabhi McPhaden

WHOIMBARI

PI

DA

C

UserRequests

Observations in any format – may or may not be quality controlled

IFremer

GD

AC

Provides access to data, checks formats

EuroSITES

Formats observations and provides QC

NDBC

•Maintains specific OceanSITES platforms,•Determines what observations are released to GTS, •Assures that the platform is available and provides reliable information, •Provides the DAC with the observations in any format the DAC is willing to take, and the metadata necessary to serve as an OceanSITES platform, and•QC post-recovery data according to OceanSITES agreed procedures.

•Sets up the OceanSITES server according to the approved specifications,•Guarantees data availability from the PI,•Translates the data to the OceanSITES format,•Quality Controls real-time data according to the minimum OceanSITES agreed procedures,•Provides the observations via the GTS (if requested by the PI),•Provides the data on a FTP server for access by the GDACs

•Provides centralized access to the DAC data•Ensures no data are excluded at the GDAC level, and full high-frequency data sets are available, •Keeps only the best version of the data. Additional products like interpolated data are separate optional sets,•Check all files daily using the “File Checker” software, •Maintains the OceanSITES catalogue, and •Synchronizes the catalogues with the second GDAC periodically ( at least daily).

FTP, Flash Drive, CD

FTP

FTP

Technical Coordinator

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“WIS-Data Discovery, Access and Retrieval (DAR)” Overview

SOS(Sensor

ObservationService)

Table ofContents

Metadata

Data ValuesData

Provider

Metadata

QualityControl

Observations

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International Tsunameter Data Assembly Center

The worldwide tsunami observation network also requires a real-time, data assembly center to provide continual monitoring and quality control of Deep-ocean Assessment and Reporting of Tsunamis (DART®) water pressure/height observations. The Data Assembly Center monitors the various real-time transmission of DART® messages depending on the operating mode of the bottom pressure recorder.

Transmission of real-time water level heights occurs when the tsunami detection algorithm is triggered by a seismic event, when interrogated by the NOAA Tsunami Warning Centers (TWCs) or NDBC, or at pre-scheduled intervals.

http://www.ndbc.noaa.gov/dart.shtml

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Tropical Atmosphere Ocean Data Assembly Center

•Processing of Automated Distribution Service messages from Service Argos. It uses both the TAO calibration database and calibration files to convert raw data to engineering units and also calculates buoy positions. An automated real-time QC is performed for gross error checking and then the TAO database is updated with the corrected data.

•The TAO Real-time Data Monitoring Subsystem supports daily, weekly, and monthly QA/QC activities by providing on-demand data checking functionality to the DAC. In addition to the automated gross error checking, the real-time data monitoring subsystem provides on-demand reports for once-daily, thorough examination of all current buoy data and detailed review of the real-time data.

http://tao.noaa.gov

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U.S. Voluntary Observing Ship (VOS)The United States Voluntary Observing Ship Project MissionThe mission of the Voluntary Observing Ship (VOS) project is two-fold: (1) to collect and disseminate critical real-time maritime weather observations through the recruitment and support of ships to fulfill National needs and International agreements supporting commerce, forecasts and warning programs, and the Safety Of Life At Sea (SOLAS) worldwide, and (2) to define the global climate and help measure extreme weather events, climate variability, and long-term climate changes. VOS operates at no cost to the vessel, with communication charges, observing equipment and reporting supplies furnished by the National Weather Service.

Port Meteorological Officers

Port Meteorological Officers (PMOs) support observing programs aboard Voluntary Observing

Ships. They are responsible for recruitment of new vessels as observers, and also for ensuring the

quality of observations from vessels actively participating in the program.

http://www.vos.noaa.gov

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NDBC became the National HF Radar Node on 28 February 2007. NDBC will receive HF Radar radials from all HF radar sites and generate vectors.

High Frequency Radar

http://hfradar.ndbc.noaa.gov

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Apply quality control to real-time ADCP data from deep-water oil platforms and rigs.

Oil and Gas Partners

http://www.ndbc.noaa.gov/maps/ADCP_WestGulf.shtml

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QC Matrix

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NDBC High Level Data Flow

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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• 10 Gigabit Ethernet technology that delivers multi-gigabit bandwidth to all resources while maintaining a 100% uptime status. • Designed around high-end enterprise class systems.  Minimum standards include Dual-Core 1.8Ghz systems, 4GB RAM, redundant Gigabit network interface cards, and redundant power. 

NDBC Data Center

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Primary Data Sources

Data Feed Type Data Received

Geostationary Operational Environmental Satellites (GOES)

Weather Buoy, C-MAN, Forecast and VOS

IRIDIUM Satellite System/Router Based Unrestricted Digital Interworking Connectivity Solution (RUDICS)

DART Data

IRIDIUM Satellite System/Department of Defense (DoD)/Short Burst Data service

Hurricane buoys, TAO refresh, AIS data, limited weather buoy

Service ARGOS, Inc. (ARGOS) satellite system Buoy positioning via LUT, TAO legacy data

Integrated Ocean Observing System Participants (IOOS)

Partner data via FTP and XML

HF Radar High Frequency Radar Data

GTS/GODAE Non-NDBC marine observation data in support of the web and OSMC

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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Basic Real-time Processing and Web System

Silver Spring, MD

NWSTG at Silver Spring, MD

INTERNET

NDBC at Stennis Space Center, MS

RT01

GATECOMMS02

SS01 SS02

WEB03-04DODS

WEB01

DB01

NOAANet

NDBC-LOAD

NDBC DMZ

NDBC LAN

The Basic Real-time Processing and Web System

COMMS01

NESDIS

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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Tsunameter Data Flow

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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Iridium SBD Argos ADS NWSTG GTS

Real-time Data Ingest and Dissemination

Database and File Management

Public Web Presentation

De

laye

d M

od

e A

na

lysis

Co

nso

le In

terfa

ces

DA

C A

na

lysts

Public Users

Automated QC and Alerts

Scie

ntists

TAO Data System Architecture

Regional Association V, Fifteenth Session, Bali, 30 April – 6 May 2010

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Ocean Surface Currents- speed and direction

HF Radar Stations located along US Coast

NDBC processes FTP transmissions and displays vectors on NDBC Web site via the WWW

http://hfradar.ndbc.noaa.gov/

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RegionalObservatories

Public

ftp*

* Via XML formatted files or the NDBC Meteorological and Oceanographic Data Exchange Module (MODEM) Kit - request from [email protected]

Partner Data Processing

NDBCDial-A-Buoy

NDBCDial-A-Buoy

Wx. ChannelLocal MediaWx. ChannelLocal Media

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Data Quality at NDBC 1970s - 2005

• Started with NDBC in 1970s• Focus on “Top Five” Wind Direction, Wind Speed, Atmospheric Surface Pressure, Air Temperature and Waves

• Algorithms perform check at NWS Gateway• Quality Assurance Group at NDBC provided daily check ofmarine observations – usually8 hours to two days afterdissemination• Approx. 110 platforms

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Data Quality Control:The Last Line of Defense, after…

• Sensor Evaluations

• Individual Sensor Calibrations

• Payload Software Testing

• Burn-In

• Data Evaluation at deployment

• Partner Data?

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Quality Control of Observations• No QC Done Onboard the Buoy or C-MAN• Automated QC Done in Real-Time at NWSTG• Hard-flags:

– Stop the Release and Archive of Data unless Analyst Overrides.

• Override in advance – Storm Limits, or• Remove before archive

• Soft-flags: Climatology-based, Advisory• Handbook of Automated Quality Control Checks and

Procedures of the National Data Buoy Center• http://www.ndbc.noaa.gov/

NDBCHandbookofAutomatedDataQualityControl2009.pdf

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Moored Buoy Observations

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Quality Control Process Flow

• Real-Time:– System Parameters (e.g., power)– Message Integrity – Automated Hard-Flag– Automated Soft-Flag

• Post-Release, Pre-Archive: Data Analyst

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Hard-Flagsby hierarchy - highest to lowest:

• T Transmission parity error• M Missing sensor data• W Wave message is short, checksum or parity errors.• E Spectral Density are exceeded or are in error • D Delete measurement (“permanent failure”)• S Invalid statistical parameter (e.g., mean > max)• V Failed time continuity. • L Failed range (climatological) limits• R Related measurement has failed a hard QC check

(e.g., WVHGT fails → Periods failed).

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Soft-flags for Waves

• a: Measurement is above monthly, regional limit.• b: Measurement is below monthly, regional limit.• c: Measurement has been adjusted, or corrected. • f: Measurement failed hourly time continuity. • m: High frequency spikes detected in the wave spectrum.• p: Failed wave height to wave period comparison test.• q: Swell direction is from an improbable direction. • w: Failed wind direction verses wave direction check.• x: Wind wave energy is too high for prevailing wind

speed.• y: Wind wave energy is too low for prevailing wind speed.

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It all happens at the NWSTG

Most other organizations: NWSTG is a big router

For up to5 minutes

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Why we halt the data at NWSTG

• Needed to process waves • Data can be corrected:

– Can recover incorrect payload parameters– Sensor offset or position drift

• Quality Control• Add computed fields • Assign WMO code forms, routing

identifiers

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Configuration Control Filefor Each Station:

• GOES ID

• Codes and Routing Identifiers

• Test or Operational Mode

• Sensors Failed

• Sensor Hierarchy

• Sensor Scaling

• Station and Sensor Elevations

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Derived Measurements

• Pressure Tendency & Trace Characteristic

• Extrapolated 10- and 20-m wind speeds

• Swell and wind wave estimates

• Wind Chill

• Ice Accretion

• Heat Index

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Output Formats• FM-13 for moored buoys

• C-MAN code for coastal stations:– National code, but well-suited for coastal

obs.– Contains water level & waves– Based on FM-12 land synoptic code

• FM-64 TESAC (temp., salinity, current profiles)

• FM-65 WAVEOB (spectral wave data)

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Real-Time Quality Control

• Purpose: Remove gross errors • Data rejected: Virtually certain to be degraded• Typical causes: Transmission errors, power

degradations, broken cables• Limitations: Won’t detect minor errors, biases

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Monthly Climatology Check

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Limit Checks

• Classic way of catching a sensor that “pegs”.• However, extreme, but valid, data has been

withheld.• Climatology based• Can be overridden before expected storm

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Time Continuity Check

• Dependent on time since last valid observation.• Max. allowed value = 0.58*Std.dev.*SQRT(TimeDiff)• Works well for normally distributed measurements• Std. dev. Chosen 50% higher climatic standard dev.

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Time Continuity Check

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Time Continuity Check

• Maximum allowable values in one hour:– Sea level pressure 12.2 hPa– Air Temperature 6.4 deg. C– Water Temperature 5.0 deg. C – Wind Speed 14.5 m/s– Wave Height 3.5 m

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If data fails time continuity,it may still be released if:

• Pressure: Both pressures < 1000 hPa• Wind Speed: Both pressures < 995 hPa or it

agrees within 2 m/s of duplicate• Air Temperature: Either wind speed > 7 m/s or

wind direction change > 40 deg.• Wave Height: Current wind speed > 15 m/s• Manually disabled in front of a hurricane

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Internal Consistency Checks

• If battery voltage < 10.5 V, pressure not released.• Significant wave height and dominant period set to

zero if significant wave height < 0.25m. Without this, large periods can result from nearly calm seas.

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Internal Consistency Checks

• If dew pt. > air temp, set dew pt. = air temp. (RH can read slightly more than 100%)

• If ratio of gust to wind speed > 4, don’t send wind speed or gust.

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Post Release Man-Machine Mix• Pre-done Graphics produced:

– Flagged data first– Then all data

• Tools:– Time series plots– Spectral Wave Curves– Wind Wave scatterplots– Surface weather plots

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Visualization Tool SuiteTop Level

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Visualization Tool SuiteArea Level

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Pre-done Graphics

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Pre-done Graphics

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Pre-done Graphics

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Time Series Plots:Wind Speed Problem

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Time Series Plots:Comparison with GFS Initial Analysis

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Position Plots

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Data MonitoringWhat does the future hold?

• Implementing new Unidata WX analysis software with improved vis. tools

• Look at only suspect or bad data - real time QC associated with a database - more sophisticated logic in algorithms,

extended trend analysis - model fields used in real met and wave QC• Flags assigned based on quality score• Distribute and archive data with flags

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Terima Kasih [email protected]

National Data Buoy CenterStennis Space Center, MS 39529