UWG 2013 MeetingScience 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

2009 2010 2011 2012 2013 2014 2015

Data Management & Stewardship

Preserve NASA’s data for the benefit of future generations

Data AccessProvide 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) and long-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 RoadmapProcess

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 RoadmapProcess

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 RoadmapProcess

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 RoadmapProcess

NASA Physical OceanographyForeseen Directions (E. Lindstrom)

Near- (< 5 years) and Long-term (> 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 TopographyForeseen 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?

https://swot.jpl.nasa.gov/Airswot/

Ocean Surface TopographyForeseen 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 GeodesyForeseen Directions (F. Landerer)

Near- (< 5 years) and Long-term (> 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 RoadmapInput 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 RoadmapProcess

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 RoadmapUWG Input