 4. Roadmaps and Linkages
SOCD roadmap diagrams, depicting the progression of present and future
research and operations and the integration with other NOAA programs,
consist of horizontal time-blocked tasks mapped by satellite launch dates,
encompassed within the context of broader efforts denoted by large arrows.
The progression of projects and efforts contribute to achieving identified
overarching goals and objectives.
4.1 SOCD Roadmaps
 Roadmaps for each strategic priority, technology area, and
science teams are located are provided of in Appendices I, II, and III,
respectively. Strategic Priority and Technology Area roadmaps span the
activities of all the Science Teams within, providing end-to-end slices.
Science Team roadmaps detail specific projects and efforts and time
periods of accomplishment. The guiding objectives for each strategic
priority, technology area, and science team are listed below.
4.1.1 Strategic Priorities
- Research to Operations: To facilitate the design and
implementation of operational satellite remote sensing products and
services through an efficient effective delivery system to the user
community.
- Calibration/Validation: Provide geophysical satellite
observations with defined uncertainties to the operational and science
communities. The long term objective is to provide climate-quality data
records.
- Data Assimilation: To combine multiple satellite and in-
situ data sets to meet NOAA requirements for satellite ocean data
assimilation.
- Climate: Obtain and maintain climate quality global
satellite data, validated to NOAA's Consolidated Observations
Requirements List (CORL) specifications.
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4.1.2 Technology Areas
- Satellite Ocean Sensors:
- Utilize visible, IR, and microwave spectral regions to develop
new satellite remotely-sensed ocean parameters
- Define and improve calibration and validation algorithms for data
- Transition algorithms to operations
- Ocean Dynamics: With respect to near-real to interannual or longer
time scales with focuses on physical oceanography and marine geophysics
of satellite ocean remote sensing support:
- Numerical oceanic/atmospheric prediction and global climate change models
- Data fusion of scatterometry wind data and altimetry sea surface
height data to determine ocean surface current and variability
- Identification of ocean thermodynamic processes/features and
their temporal patterns through the analysis of infrared sea-surface
temperature data
- Marine Ecosystems: With respect to NOAA's objectives for monitoring
habitats, managing ecosystems, protecting species, maintaining human
health, measuring water quality, and promoting sustainable development:
- Develop operational satellite ocean remote sensing applications
for oceanic, coastal, and estuarine areas to detect and address
aspects of marine ecosystems
- Support the Integrated Ocean Observing System
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4.1.3 Science Teams
- Sea Surface Temperature:
- Environmental Data Records (EDRs):
- Sustain the current heritage SST/Aerosol EDRs from POES AVHRR and GOES Imager sensors
- Develop improved methodologies for SST/Aerosol from heritage platforms and sensors
- Actively contribute to shaping the new missions, sensors,
and methodologies (IJPS, NPOESS, GOES-R)
- Prepare for future SST/Aerosol EDRs (NPOESS, GOES-R)
- Merge the SST EDRs and National Centers for Environmental
Prediction (NCEP) data streams, to constrain the atmospheric
correction and facilitate skin-to-bulk SST conversion
- Climate Data Records (CDRs): Develop high-quality
global satellite SST climate data records(CDR)
- Generate SST/Aerosol CDRs from AVHRR and GOES Imager using
improved sensor characterization, cloud screening, and SST
inversion techniques
- Evaluate potential of GOES Imager to develop all-time-first
SST climatology with diurnal cycle resolved
- Evaluate POES/GOES climatologies against available ground-
based climatologies and measure improvements
- Calibration / Validation: Develop and implement a
SST/Aerosol Quality assurance/calibration/validation system
- Develop web-based QA/Cal/Val system to monitor
SST/Aerosol quality from POES and GOES
- Use QA/Cal/Val system to identify persistent
uncertainties in SST/Aerosol EDRs and work to fix problems and
reduce errors
- Validate operational satellite SST EDRs to CORL
specifications
- Applications: Generate high-quality satellite-only SST
products for areas lacking in-situdata.
- Sea Surface Height:
- Altimeter Data Sets: Provide altimeter CDRs to CORL specifications
- Reduce SSH uncertainty
- Improve timeliness and expand applications
- Ocean Dynamics: Operational monitoring of dynamic
topography and global sea level to CORL specifications
- Reduce uncertainty in surface currents from altimetry
- Apply satellite altimetry to research and operational
applications with respect to ocean circulation
- Gravity and Bathymetry: Global, average SSH slopes on a
one-nautical mile grid, accurate to one microradian
- Reduce uncertainty and improve resolution of global ocean
gravity and bathymetry products
- Climate: Operational monitoring of global sea level to CORL specifications
- Reduce uncertainty to global sea-level rise
- Apply satellite altimetry to research and operational
applications in areas of climate variability and change
- Ocean Surface Winds:
- Operational surface wind vectors, validated to CORL specifications
- Improve marine forecasting through satellite ocean surface
wind data assimilation into numerical models
- Improve marine forecasting through forecaster use of
satellite ocean surface wind products
- Ocean Color:
- Ocean Color Marine Optical BuoY (MOBY): Provide
absolute radiometric standard and maintain a reference for
intercomparison of ocean color satellite missions, accurate to CORL
specifications; develop ocean color climate-quality data
products
- Operational vicarious calibrations of satellite ocean color
sensors to reduce uncertainties in satellite ocean color
measurements
- Ocean Color Marine Optical Characterization Experiment
(MOCE): Operational ocean color measurements validated to CORL
specifications
- Develop and validate new and heritage ocean color algorithms
for ocean bio-optical properties
- Ocean Color Validation: Operational ocean color
measurements validated to CORL specifications
- Develop quantitative accuracy estimates to assess data quality
- Ocean Color Products and Applications: Develop ocean
color applications that address NOAA Mission Goal
requirements
- To develop capabilities to provide quantitative information
relating to oceanic biological parameters, particularly;
phytoplankton biomass, important biogeochemical processes, and
the state and magnitude of human activities in oceanic and
coastal waters
- Sea Ice:
- Sea Ice Product Research and Development: Complete sea
ice CORL EDR algorithms
- Develop operational algorithms and products that provide
required measurements of sea ice and other cryospheric
parameters from available active and passive microwave,
infrared, and visible data
- Sea Ice Altimetry: Develop sea ice freeboard estimation
capability for climate research
- Provide validated capability to estimate sea ice thickness
from microwave altimeter satellites
- National Ice Center (NIC) Polar Research: Reduce
uncertainty in the accuracy of sea ice products and forecasts
- Reduce sea ice detection and characterization uncertainty
- Sustain and develop operational sea ice products, models,
and forecasts to meet NIC requirements as NOAA's operational ice
services activity
- Sea Surface Roughness:
- Securing SAR Data Access for Research and Operations:
U.S. operational SAR satellite mission as part of NPOESS
- Secure affordable, long-term, near-real-time operational
access to multi-frequency multi-polarization, interferometric
SAR data for product generation and image analysis
- Synthetic Aperture Radar Product Research: Complete CORL EDR algorithms
- Develop operational algorithms and products providing
quantitative measurements of coastal and open ocean parameters
- SAR Applications Demonstrations and User Outreach and
Education: A well-trained operational user community and an
educated public making appropriate use of SAR data and products
- Demonstrate SAR-derived products in an operational environment to operational users
- Cultivate and train a SAR user community
- OperationalSAR OceanProducts System
Development: Develop operational SAR ocean products software
system capability
- Develop a fully operations-ready SAR ocean products system
that can be operated as a part of the NPOESS system
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