1. Information, data servers and data products for the Pacific regional association J. Potemra briefing to Z. Willis, UH Manoa, July 2009

2. PacIOOS Development PacIOOS focus is development of Regional Association for the region HIOOS focus is as a pilot project for PacIOOS Designed around component systems Data management is one component, but a cross- cutting one Data management needs, capacity and requirements are very different between Hawaii and larger Pacific region

3. Catalyst Project 4: Marine Ecosystems Catalyst Project 2: Coastal Resiliency Catalyst Project 3: Water Quality Catalyst Project 1: Ocean state forecast Sensor 1Sensor 2 Sensor n Observing System Component 1 Product m Product 3 Product 2 Product 1 User group 1 research User group 2 education User group 3 planning User group 4 operational User group 5 general Modeling System Sensor 1Sensor 2 Sensor n Observing System Component n Sensor 1Sensor 2 Sensor n Observing System Component 2 Observing ArrayProductsProjectsUser Groups

4. Catalyst Project 4: Marine Ecosystems Catalyst Project 2: Coastal Resiliency Catalyst Project 3: Water Quality Catalyst Project 1: Ocean state forecast Sensor 1Sensor 2Sensor n Observing System Component 1 Product m Product 3 Product 2 Product 1 Modeling System Sensor 1Sensor 2Sensor n Observing System Component n Sensor 1Sensor 2Sensor n Observing System Component 2 Observing ArrayProductsProjects Role of “PI’s” is to: 1.design and develop this system; 2.provide a scientifically q/c’d data stream to the Data Management System

5. Product m Product 3 Product 2 Product 1 User group 1 research User group 2 education User group 3 planning User group 4 operational User group 5 general ProductsUser Groups Role of Education/Outreach (and really everyone): 1.Identify users 2.Identify useful products 3.Identify preferred form and format of product delivery

6. Catalyst Project 4: Marine Ecosystems Catalyst Project 2: Coastal Resiliency Catalyst Project 3: Water Quality Catalyst Project 1: Ocean state forecast Sensor 1Sensor 2 Sensor n Observing System Component 1 Product m Product 3 Product 2 Product 1 User group 1 research User group 2 education User group 3 planning User group 4 operational User group 5 general Modeling System Sensor 1Sensor 2 Sensor n Observing System Component n Sensor 1Sensor 2 Sensor n Observing System Component 2 Observing ArrayProductsProjectsUser Groups Role of Data Management: 1.Archive data 2.Provide networking infrastructure for product delivery  links between boxes

7. Role of data management PacIOOS (HIOOS) is being developed as an end-to- end system --> data issues are multi-faceted Instrument to shore Disk storage to scientist Data servers allowing web access to users Data servers to client software Data to data products User-driven data products will be critical in the region

8. 1. Instrument to shore Cell phone modem, IRIDIUM, direct connect 2. Disk to scientist ftp, copy, OPeNDAP 3. Web access to users LAS, Dchart, ERDDAP 4. Binary access (data server to client s/w) OPeNDAP, SOS 5. Data to data product…..

9. Data Management Tenets Meta data Data archive Data discovery Data browse Data transport (data delivery); binary access

10. PacIOOS vs HIOOS Both limited by data of appropriate scales Pacific region more climate-related, long-term, planning/management issues Hawaii wants real-time and forecast, high spatial resolution data; rapid access There are data sets in the Pacific region, but not cataloged, easily accessible Metadata Data discovery Data archive Hawaii, on the other hand Data delivery

11. Issues Data by itself is not a product; a product in the IOOS context fuses data and knowledge Goal is operational system; role of research can thus be in product development (among other things, e.g., system design and development) Identify users Identify desired products Identify desired formats (delivery method) Data Management system will provide the solution

12. Challenges Drastically different data streams; servers could depend on data types (biological data, video, etc.) Starting close to zero Customers, delivery mechanisms largely unknown Many data sources Creativity in producing data products Provide model-data interface Operational 24/7? Resources in terms of appropriate technical skills

13. Plan Web services for information Traditional web pages Data product dissemination Providing access to data via data servers Data archiving Raw storage of data Data servers (IOOS “standards”) Web-based browsing tools OPeNDAP WCS for gridded data SOS for point/non-gridded data

14. Data & Products HIOOS Assets, observations, models, data servers, maps

15. Featured Products

16. HiOOS Data Streams ComponentLocation/instVariablesData streams Near-shore sensorsNS-01 (WYC)T, s, chl, turbKilo NaluPD NS-02 (HYC)T, s, chl, turbKilo NaluPD NS-03 (Waikiki)T, s, chl, turbP Kilo Nalu10m siteT, sKilo Nalud 10m T-chainTKilo Nalud 10m ADCPcurrentsKilo Nalu (3 mon) d 10m FLNTwater qualKilo Nalu (4/09)Pd 20m T-chainTKilo Nalud 20m ADCPcurrentsKilo NaluPd Wave buoy?wavesKilo NaluP Water QualityWQB-AWT, s, chl, turbIntSenP WQB-KNT, s, chl, turbIntSenP Event Response

17. HiOOS Data Streams (cont’d) ComponentLocation/instVariablesData streams Ocean GlidersSG-114 (2 mission)T,s,currentsSOESTD SG-139 (4 mission) T,s,currentsSOESTD HF RadiosBarber’s Pointcurrents Kaka’akocurrents Koko Headcurrents Coastal resiliencyWaikikitopo Waimeatopo Makapu’utopo Kaka’akotopo Acoustic tracking Acoustic monitoring A

18. HiOOS Data Streams (cont’d) ComponentLocation/instVariablesData streams Waves/water levelWB-106 (Waimea) wavesCDIPP WB-098 (Mokapu) wavesCDIPP WB-146 (Lanai)wavesCDIPP Tide gauge (8)Sea levelUHSLCPD Camera (Waimea)UHSLCP Camera (Waikiki)UHSLCP Models (atm)Pacificwind, rain, THIOOSD Hawaiian Islandswind, rain, THIOOSPD Models (wave)PacificwavesOREP Hawaiian IslandswavesOREP South ShorewavesOREP

19. HiOOS Data Streams (cont’d) ComponentLocation/instVariablesData streams Models (ocn)Pacific (NRL)T, s, curr, clevAPDRCPD Hawaii Isle (ROMS) T, s, curr, clevHIOOSPD Tidescurr, clevAPDRCPD

20. Data Products (example 1)

22. Data Products (example 2)

23. Data Servers OPeNDAP GDS TDS Visual browse LAS DCHART (google map) DCHART(google map) OGC WMS WCS