UWG 2013 Meeting Science Direction Discussion

Thrusts Invigorate outreach Deploy DM infrastructure Modernize data access tools Enhance web presence Integrate the data system Create science-focused value- added products & services

Data Management & Stewardship Preserve NASA’s data for the benefit of future generations Data Access Provide intuitive services to discover, select, extract and utilize data Science Information Services Provide a knowledgebase to help a broad user community understand and interpret satellite ocean data and related information PO.DAAC Functional Areas

PO.DAAC Science Roadmap Tasked to create a near-term ( 5 years) science roadmap for PO.DAAC. For a roadmap to be created, the following questions need to be addressed:  What are the directions of the Space Geodesy, Ocean Surface Topography, Sea Surface Temperature, Salinity, and Ocean Winds programs, and what challenges are these programs facing or are foreseen to face in the future?  How can PO.DAAC align to support these activities and address the challenges to benefit users?

 Assess the upcoming NASA Missions/Projects  Input on the direction and challenges of aquatic NASA Missions/Projects  NASA Program Managers (e.g., E. Lindstrom, J. LaBrecque)  NASA Project Scientists (e.g., J. Willis, L.-L. Fu)  NASA Physical Oceanography Communities (e.g., OVW, OST, SST)  JPL Oceanographers and Geodesists  PO.DAAC User Working Group  Compile Input  Internal PO.DAAC discussions  Science direction and challenges  Science value-added products and services  White paper that details the future direction of PO.DAAC to drive future implementations PO.DAAC Science Roadmap Process

 Assess the upcoming NASA Missions/Projects  Input on the direction and challenges of aquatic NASA Missions/Projects  NASA Program Managers (e.g., E. Lindstrom, J. LaBrecque)  NASA Project Scientists (e.g., J. Willis, L.-L. Fu)  NASA Physical Oceanography Communities (e.g., OVW, OST, SST)  JPL Oceanographers and Geodesists  PO.DAAC User Working Group  Compile Input  Internal PO.DAAC discussions  Science direction and challenges  Science value-added products and services  White paper that details the future direction of PO.DAAC to drive future implementations PO.DAAC Science Roadmap Process

 Assess the upcoming NASA Missions/Projects  Input on the direction and challenges of aquatic NASA Missions/Projects  NASA Program Managers (e.g., E. Lindstrom, J. LaBrecque)  NASA Project Scientists (e.g., J. Willis, L.-L. Fu)  NASA Physical Oceanography Communities (e.g., OVW, OST, SST)  JPL Oceanographers and Geodesists  PO.DAAC User Working Group  Compile Input  Internal PO.DAAC discussions  Science direction and challenges  Science value-added products and services  White paper that details the future direction of PO.DAAC to drive future implementations PO.DAAC Science Roadmap Process

Upcoming NASA Missions/Projects  Geodesy:  GRACE Follow-On – 2017  GRACE-II – after 2017  Ocean Surface Topography:  AirSWOT – 2013  SWOT – 2019  Salinity:  SPURS Follow On – 2015  Ocean Winds:  RapidScat – 2014  EV-2 Cyclone Global Navigation Satellite System (CYGNSS) – 2016  MEaSUREs:  An Earth System Data Record of Earth's Surface Mass Variations from GRACE and Geodetic Satellites  Development of Pre-SWOT ESDRs for Global Surface Water Storage Dynamics  A Climate Data Record of Altimetric Sea Level Change and Its Mass and Steric Components  Other:  EV-S2 - ?

Upcoming NASA Missions/Projects  Geodesy:  GRACE Follow-On – 2017  GRACE-II – after 2017  Ocean Surface Topography:  AirSWOT – 2013  SWOT – 2019  Salinity:  SPURS Follow On – 2015  Ocean Winds:  RapidScat – 2014  EV-2 Cyclone Global Navigation Satellite System (CYGNSS) – 2016  MEaSUREs:  An Earth System Data Record of Earth's Surface Mass Variations from GRACE and Geodetic Satellites  Development of Pre-SWOT ESDRs for Global Surface Water Storage Dynamics  A Climate Data Record of Altimetric Sea Level Change and Its Mass and Steric Components Among these, 6 are not the typical PO.DAAC “missions” or “parameters”. Will the trend in airborne platforms and in situ campaigns continue in the future? Should we develop this expertise? Hydrology is an emerging area of emphasis. Should we develop this expertise?  Other:  EV-S2 - ?

 Assess the upcoming NASA Missions/Projects  Input on the direction and challenges of aquatic NASA Missions/Projects  NASA Program Managers (e.g., E. Lindstrom, J. LaBrecque)  NASA Project Scientists (e.g., J. Willis, L.-L. Fu)  NASA Physical Oceanography Communities (e.g., OVW, OST, SST)  JPL Oceanographers and Geodesists  PO.DAAC User Working Group  Compile Input  Internal PO.DAAC discussions  Science direction and challenges  Science value-added products and services  White paper that details the future direction of PO.DAAC to drive future implementations PO.DAAC Science Roadmap Process

NASA Physical Oceanography Foreseen Directions (E. Lindstrom) Near- ( 5 years):  More airborne platforms and field campaigns  Potential Approach: Develop in-house expertise?  Big data – issues in downlink, storage, and distribution (e.g., SWOT – 1 TB/day)  Potential Approach: Take processing/analysis to the data (e.g., cloud computing)?  Increasing interest in coastal and inland waters  Potential Approach: Develop in-house expertise? Creation of tools/services to address coastal needs?  Seamlessness from small to large-scale and from observations to models  Potential Approach: Creation of tools/services to assemble data with different scales? Data assimilating models?  Interdisciplinary science – air-sea, land-sea, and air-land interactions  Potential Approach: Mindset change within NASA and NASA DAACs? Sharing services between DAACs and other agencies (e.g., THREDDS, Opendap)? Common data formats among agencies? An on demand data format conversion tool?  Role of climate models – how do we manage and participate or should we?  Potential Approach: Creation/participation in reanalysis products and climate data records?

Ocean Surface Topography Foreseen Directions (L-L. Fu, J. Willis) Near-term (< 5 years):  Strive to be the data repository for the AirSWOT experiments  Potential Approach: Develop in-house airborne expertise?  Aid scientists in the community with ongoing, or periodically updated versions of higher-level products that are initially generated by science team members  Potential Approach: Production and update of PI-generated (science community) and MEaSUREs products?

Ocean Surface Topography Foreseen Directions (L-L. Fu, J. Willis) Long-term (> 5 years):  Strive to be the center for high-level data products from SWOT  High data volume from the mission  Potential Approach: Take processing/analysis to the data (e.g., cloud computing)?  Sparse temporal coverage  Potential Approach: Data assimilative modeling?  Close collaborations with the SWOT science team  Potential Approach: Provide support, forge and develop ideas and requirements for high- level products, generate routine high-level science products?  Aid scientists in the community with ongoing, or periodically updated versions of higher-level products that are initially generated by science team members  Potential Approach: Production and update of PI-generated (science community) and MEaSUREs products?

Space Geodesy Foreseen Directions (F. Landerer) Near- ( 5 years):  Space geodetic observations provide some great insights into climate process and changes, but the potential of those observations has not been realized  Potential Approach: Make data more accessible / useable for science and applications?  Big data - issues in downlink, storage, and distribution  Potential Approach: Take processing/analysis to the data (e.g., cloud computing)?  Seamlessness from small to large-scale and from observations to models  Connectivity of gravity measurements to climate-related variables  Incorporation of geodetic information into environmental/weather/climate models  Potential Approach: Creation of tools/services to assemble data with different scales? Data assimilating models? On-demand analysis with algorithm application?

Foreseen Direction/Issues:  More airborne platforms and field campaigns  Big data  Increasing interest in coastal and inland waters  Seamlessness from small to large- scale/observations to models  Interdisciplinary science  Role of climate models  Aid science community with higher-level products  Strive to be the data repository for AirSWOT  Strive to be the center for SWOT PO.DAAC Science Roadmap Input Summary Potential Approaches:  Generate/update routine high-level science products  Build in-house expertise in:  Airborne platforms and field campaigns  Hydrology  Coastal science  Creation of Tools/Services that provide:  On-demand analysis with algorithm application (e.g., anomalies, regridding, L2 to L3)  On demand data format conversion tool  Data assembly with different scales  Technology for managing big data  Data assimilative modeling

 Assess the upcoming NASA Missions/Projects  Input on the direction and challenges of aquatic NASA Missions/Projects  NASA Program Managers (e.g., E. Lindstrom, J. LaBrecque)  NASA Project Scientists (e.g., J. Willis, L.-L. Fu)  NASA Physical Oceanography Communities (e.g., OVW, OST, SST)  JPL Oceanographers and Geodesists  PO.DAAC User Working Group  Compile Input  Internal PO.DAAC discussions  Science direction and challenges  Science value-added products and services  White paper that details the future direction of PO.DAAC to drive future implementations PO.DAAC Science Roadmap Process

What do you think are the near-term (< 5 years) science directions and challenges? What do you think are the long-term (> 5 years) science directions and challenges? Which of these should PO.DAAC tackle? And what are the potential approaches? PO.DAAC Science Roadmap UWG Input