Rolling Deck to Repository (R2R) Motivation May 4, 2009 Rolling Deck to Repository A direct pipeline from ship to archive for oceanographic research Suzanne.

Slides:



Advertisements
Similar presentations
SAMOS Data Management System
Advertisements

Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
AGVISE Laboratories %Zone or Grid Samples – Northwood laboratory
EuroCondens SGB E.
John A. Orcutt Deputy Director, SIO Ocean Observations Initiative NSF MREFC Chair, NSF/CORE DEOS Comm.
Prototype Phase SIO Accomplishments
Rolling Deck to Repository (R2R) Technical Overview 1 of 14 May 4, 2009 (Arko) Rolling Deck to Repository Technical Overview Suzanne Carbotte, Vicki Ferrini,
Rolling Deck to Repository: Transforming the United States Academic Fleet Into an Integrated Global Observing System Suzanne M. Carbotte, Robert Arko,
The basics for simulations
Basis and Price Formation. Basis Basis is the difference between a cash price at a specific location and the price of a particular futures contract. The.
Progressive Aerobic Cardiovascular Endurance Run
Moving to “T” National Instrument Institutional Trade Matching & Settlement Working Towards Successful Implementation Glenn MacPherson Program Director,
Introduction Objective: Develop regional ocean forecasting capability AU$15M co-investment for Phase 1 Partners: Bureau, CSIRO, Navy Launched 2003, Phase1.
Before Between After.
Static Equilibrium; Elasticity and Fracture
Introduction Embedded Universal Tools and Online Features 2.
UWG 2013 Meeting Science Direction Discussion. Thrusts Invigorate outreach Deploy DM infrastructure Modernize data access tools Enhance web presence Integrate.
1988. Station ALOHA (~4750m deep) Hawaii Ocean Time-series (HOT) October present (260 cruises; ~10/yr) 25 years of HOT.
Carbon Cycle and Ecosystems Important Concerns: Potential greenhouse warming (CO 2, CH 4 ) and ecosystem interactions with climate Carbon management (e.g.,
First Marine Board Forum – 15 May Oostende Marine Data Challenges: from Observation to Information From observation to data.
PURPOSE OF THE UIF * Enable the University to seize opportunities at the frontiers of knowledge and learning or to reshape existing programs consistent.
1 Issue: Society Depends on Ecosystem Modeling to Predict Threats and Minimize Risk.
The National MPA Center: Helping to Conserve our Nation’s Marine Resources Lauren Wenzel National Marine Protected Areas Center.
Progress Towards a Regional Coastal Ocean Observing System for the Southeast (SEACOOS) Harvey Seim / University of North Carolina at Chapel Hill University.
Integrated Ecosystem Assessment for the Gulf of Mexico Becky Allee Gulf Coast Services Center.
NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY Harnessing the Power of Digital Data for Science and Society Chuck Romine (NIST), Co-chair Interagency Working.
NOAA Coastal Programs David Clark NOAA/NESDIS/NGDC Coastal Module of GTOS Meeting October 15, 2002.
Data Management Practices: BCO-DMO’s Successes and Challenges Bob Groman BCO-DMO Woods Hole Oceanographic Institution NERACOOS/NeCODP Data Management Workshop.
What is Oceanography?. Marine Science Or oceanography is the study of the oceans, how they are formed, its associated life forms, the coastal interactions,
UNCW Ocean Observing: Providing Infrastructure, Data, and Products to Support State and Federal Agency Needs AQUARIUS NOAA’s Undersea Research Center (NIUST,
Ocean Sciences Chief Scientist Workshop Honolulu, Hawaii UNOLS February 23, 2014.
Surface Marine Metadata Prepared for 1st meeting of WCRP Working Group on Surface Fluxes Halifax, October 2004.
The Science Requirements for Coastal and Marine Spatial Planning Dr. Robert B. Gagosian President and CEO Ocean Studies Board November 10, 2009.
Mind the Gap: Finding Data Across Decades and Disciplines with the SSDB Stephen P. Miller 1, P. Dru Clark 1, Jacob M. Perez 1, Aaron D. Sweeney 1, John.
Workshop on Planning Coordinated Research on Ecosystems, Climate, and Policy in the Northeast.
Mind the Gap: Finding Data Across Decades and Disciplines with the SSDB Stephen P. Miller 1, P. Dru Clark 1, Jacob M. Perez 1, Aaron D. Sweeney 1, John.
Automated Weather Observations from Ships and Buoys: A Future Resource for Climatologists Shawn R. Smith Center for Ocean-Atmospheric Prediction Studies.
Planning the Maiden Voyage of Discovery for NOAA’s Dedicated Ocean Exploration Vessel, Okeanos Explorer May 9-11, 2007 National Geographic Society. Washington,
Geosciences - Observations (Bob Wilhelmson) The geosciences in NSF’s world consists of atmospheric science, ocean science, and earth science Many of the.
2008 US CLIVAR Summit Phenomena Observations and Synthesis.
Ocean.US and Coastal Ocean Applications and Science Team (COAST) Larry Atkinson September 2004 Corvallis.
Rolling Deck to Repository II: Getting Control of Provenance and Quality AGU Poster IN43A-1169 AGU Fall Meeting December 17, Stephen.
Biological and Chemical Oceanography Data Management Office slide 1 of 19 CAMEO Data Management Bob Groman Biological and Chemical Oceanography Data Management.
Data Management during GEOTRACES Data Management sub-committee: Reiner Schlitzer, Jing Zhang, Bill Jenkins, Chris Measures Scientific.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 The Influences of Changes.
NOAA/NESDIS/National Oceanographic Data Center Following the Flow of Two Underway Data Streams Within the U. S. National Oceanographic Data Center Steven.
Shipboard Automated Meteorological and Oceanographic System (SAMOS) Initiative: A Key Component of an Ocean Observing System Shawn R. Smith Center for.
Aquatic Commons Initiative: the year in review Presented for the Aquatic Commons Implementation Task Force by Stephanie Haas, University of Florida IAMSLIC:
The Science Requirements for Coastal and Marine Spatial Planning Dr. Robert B. Gagosian President and CEO September 24, 2009.
Discussion: Strategic views and ocean essential variables 10AM Organization and Charge to Breakout Groups At 2:30 or as time permits: 30-min Feedback/discussion.
Argo: Tracking the Pulse of the Global Oceans. How do Argo floats work? Argo floats collect a temperature and salinity profile and a trajectory every.
Course, Curriculum, and Laboratory Improvement (CCLI) Transforming Undergraduate Education in Science, Technology, Engineering and Mathematics PROGRAM.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Closing the Global Sea Level.
SIOExplorer Stephen Miller Scripps Institution of Oceanography USA International Data Exchange Workshop Building a Global Data Network for Studies of Earth.
Research Data Management Nova Southeastern University – Halmos College of Natural Sciences and Oceanography – Ocean Campus November 2015 Data Management.
CIOSS Ocean Optics Aug 2005 Ocean Optics, Cal/Val Plans, CDR Records for Ocean Color Ricardo M Letelier Oregon State University Outline - Defining Ocean.
Interagency Ocean Observation Committee The Integrated Coastal & Ocean Observing System Act of 2009  Interagency Ocean Observing Committee  Lead Federal.
Semantic Concepts in Expedition Metadata Semantic Concepts in Expedition Metadata Bob Arko Lamont-Doherty Earth Observatory OOSSI Workshop Nov. 18, 2008.
Future needs and plans for ocean observing in the Arctic AOOS Arctic Town Hall Futur Zdenka Willis Integrated Ocean Observing System National Program Office.
Rolling Deck to Repository (R2R): How to Systematically Document Quality for the New Era of Data Re-Usability? AGU Poster IN21B-1048 AGU Fall Meeting December.
1. 2 NOAA’s Mission To describe and predict changes in the Earth’s environment. To conserve and manage the Nation’s coastal and marine resources to ensure.
Biological and Chemical Oceanography Data Management Office slide 1 of 10 U.S. GEOTRACES Data Management Cyndy Chandler BCO-DMO ~ WHOI 23 September 2008.
NOAA EDMC Ocean Observatories Initiative Cyberinfrastructure Karen Stocks OOI CI Data Curator University of California, San Diego Ocean Observatories.
LEGACY MEETING – SUMMARY NOTES LEGACY MEETING SUMMARY NOTES September 3-5, 2008 Palisades, NY.
Biological and Chemical Oceanography Data Management Office slide 1 of 10 The Biological and Chemical Oceanography Data Management Office (BCO-DMO) Cyndy.
Linked Data for Field Deployments
Document 5.4.1(3) Observing System Design and Evolution
Ocean Observations: the European landscape
Bird of Feather Session
  1-A) How would Arctic science benefit from an improved GIS?
Presentation transcript:

Rolling Deck to Repository (R2R) Motivation May 4, 2009 Rolling Deck to Repository A direct pipeline from ship to archive for oceanographic research Suzanne Carbotte, Robert Arko, Vicki Ferrini (LDEO) Stephen Miller, Karen Stocks (SIO) Cynthia Chandler, Andrew Maffei (WHOI) Introduction

Rolling Deck to Repository (R2R) Motivation May 4, 2009 UNOLS fleet - Primary Resource for Ocean Research Collect observational data for a broad range of science applications, e.g. – impacts of global change on ocean chemistry and ecosystems – ocean circulation – volcanism and earthquake processes at plate boundaries >30 yr history supporting ocean science- time series of ocean obs. and global exploration Great diversity of data 22 ships in UNOLS fleet+ 5 USAP&USCG – global/regional/coastal Collect observational data for a broad range of science applications, e.g. – impacts of global change on ocean chemistry and ecosystems – ocean circulation – volcanism and earthquake processes at plate boundaries >30 yr history supporting ocean science- time series of ocean obs. and global exploration Great diversity of data 22 ships in UNOLS fleet+ 5 USAP&USCG – global/regional/coastal

Rolling Deck to Repository (R2R) Motivation May 4, 2009 Spectrum of Data Research expeditions involve a variety of data collection activities: National facility (eg NDSF, Seismic, OBSIP) Science party instrumentation (eg current meter, sediment traps, chemical/physical probes etc) Operational/Underway (eg bathymetry, MET, ADCP, subbottom etc)

Rolling Deck to Repository (R2R) Motivation May 4, 2009 Operations data streams are of high value Case studies 1. PhysO measurements (eg flourescence, salinity) provide crucial ground truth for satellite observations for global change 2. Bathymetry- many uses but coverage is sparse -all data contributes usefully to building global synthesis 3. MET data -verification and air-sea interactions Case studies 1. PhysO measurements (eg flourescence, salinity) provide crucial ground truth for satellite observations for global change 2. Bathymetry- many uses but coverage is sparse -all data contributes usefully to building global synthesis 3. MET data -verification and air-sea interactions

Rolling Deck to Repository (R2R) Motivation May 4, 2009 Case study: Physical Oceanography datelatitudelongitudetemp Satellite Calibration and Validation ~ Sea Surface Temperature NOAA / NASA AVHRR SST in situ SST from Thomas Thompson datelatlontemp

Rolling Deck to Repository (R2R) Motivation May 4, 2009 Case study: Ocean color Satellite Calibration and Validation ~ Ocean color SeaWiFS chlorophyll In situ chlorophyll (R/V Revelle) datelonlatChl-a

Rolling Deck to Repository (R2R) Motivation May 4, 2009 Case Study: Seafloor Bathymetry Tsunami modelling Ocean mixing/bottom currents Maritime Navigation/Cables Benthic habitats

Rolling Deck to Repository (R2R) Motivation May 4, 2009 Case Study: MET data and Air-Sea Fluxes Available flux products can differ by ~50Wm -2, particularly in core of the ACC -> largest source of error in closing the upper ocean heat budget for the Southern Ocean (e.g. Dong et al., 2007) Year-round underway shipboard meteorological observations (e.g. the LM Gould Drake Passage transect at right) give opportunity to improve flux fields and resolve small-scales. Provided by Janet Sprintall

Rolling Deck to Repository (R2R) Motivation May 4, 2009 The global oceans are vast, ocean exploration is expensive and slow, and after 50 years of academic investigation much remains unexplored - All data of high value for preservation The Challenge and the Objective

Rolling Deck to Repository (R2R) Motivation May 4, 2009 The Challenge and the Objective 21 st century research cruises are staffed by multiple investigators and yield heterogeneous data sets VERTIGO project KM0414 ALOHA cruise sampling activities R/V Kilo Moana (University of Hawaii Marine Center)

Rolling Deck to Repository (R2R) Motivation May 4, 2009 The Challenge and the Objective To make data publicly available to support data reuse and the published literature and enable informed policy decision making.

Rolling Deck to Repository (R2R) Motivation May 4, 2009 NSF data policies require data preservation

Rolling Deck to Repository (R2R) Motivation May 4, 2009 VISION Our strategic vision is a digital scientific data universe in which data creation, collection, documentation, analysis, preservation, and dissemination can be appropriately, reliably, and readily managed thereby enhancing the return on our nations research and development investment by ensuring that digital data realize their full potential as catalysts for progress in our global information society

Rolling Deck to Repository (R2R) Motivation May 4, 2009 NOAA National Data Centers NOAA National Data Centers National Facility Ops Data Centers eg Seismic (ASP), USAP, OBSIP (IRIS) National Facility Ops Data Centers eg Seismic (ASP), USAP, OBSIP (IRIS) Program and Disciplinary DC (eg MARGINS, BCODMO others) Program and Disciplinary DC (eg MARGINS, BCODMO others) Operator/Institutional Archives Operator/Institutional Archives Ships and Facility Ops, (e.g. OBSIP, NDSF Seismic) Ships and Facility Ops, (e.g. OBSIP, NDSF Seismic) Science Party Science Party No comprehensive data management WEAK LINKS

Rolling Deck to Repository (R2R) Motivation May 4, 2009 More Challenges No systematic archiving of data collected Obtaining data for later re-use difficult to impossible Heterogeneous data collection across fleet. Data documentation minimal and difficult Little QA/QC- conducted on operator-by- operator basis and has varied historically depending on operator priorities/capability

Rolling Deck to Repository (R2R) Motivation May 4, 2009 Migrate all operational shipboard data to long term repositories through R2R gateway Assess quality, provide feedback Rolling Deck to Repository

Rolling Deck to Repository (R2R) Motivation May 4, 2009 NOAA National DC Program/Disciplinary DC NOAA National DC Program/Disciplinary DC Ships R2R R2R Gateway for Operations/Underway Data NOAA National DC Program/Disciplinary DC NOAA National DC Program/Disciplinary DC Ships Science Party ??

Rolling Deck to Repository (R2R) Motivation May 4, 2009 R2R Guiding Principles NSF supported research vessels produce an enormous volume and diversity of scientific data each year. R2R proposes a fundamental transformation of data management in the fleet, providing a direct pipeline for the routine underway data and documentation from each cruise to flow from the operating institution to a central shoreside repository. Working directly with the ship scheduling offices and technicians will ensure more complete and consistent data acquisition, quality control, archival, and dissemination.

Rolling Deck to Repository (R2R) Motivation May 4, 2009 What will R2R do? Operating institutions upload data R2R Team: 1.Harvest data and metadata 2.Assess quality 3.Migrate standard data to national data centers and disciplinary data assembly centers (eg SAMOS, JCADCP, GMRT) 4.Provide long term R2R repository for Cruise metadata Navigation Orphan data products without national data center home

Rolling Deck to Repository (R2R) Motivation May 4, 2009 Who could participate in R2R UNOLS 61 member institutions NOAA? Coast Guard? Polar Programs? Archive in National Data Centers NOAA NGDC, NODC

Rolling Deck to Repository (R2R) Motivation May 4, 2009 Benefits to Stakeholders: Operators, Scientists, NSF Facilitate data preservation and dissemination (and free operators from archival duty) Standardize data collection and improve data documentation Assess data quality and provide feedback to improve data collection Standardization will enable integration of data sets across ships and time - syntheses and global compilations Facilitate cruise planning, permits, clearances

Rolling Deck to Repository (R2R) Motivation May 4, 2009 Research Fleet Mobile platforms Short term obs Global range Ocean exploration Data preservation is needed across infrastructure for ocean science OOI ~Stationary platforms Long-term obs Regional/Local range IODP Sampling Deep time