NOAA CoastWatch/OceanWatch Ocean Color Activities:
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NOAA CoastWatch/OceanWatch Ocean Color Activities: Contributions to Ocean Color Radiometry-Virtual Constellation. S. Ramachandran 2 , K. Hughes 1 (PRINCIPAL GOVERNMENT INVESTIGATOR) , Y.S. Kim 3 , M. Wang 1 1 NOAA/NESDIS/STAR, 2 SP-Systems Inc, 3 DELL/Perot Systems Government Services.

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NOAA CoastWatch/OceanWatch Ocean Color Activities:Contributions to Ocean Color Radiometry-Virtual Constellation

S. Ramachandran2, K. Hughes1(PRINCIPAL GOVERNMENT INVESTIGATOR) , Y.S. Kim3, M. Wang1

1NOAA/NESDIS/STAR, 2SP-Systems Inc, 3DELL/Perot Systems Government Services

GCOM C-1

OCM2

C-1

NPP

C-2

MODIS

MERIS

LSU

Wallops Island CDA

(WCDA)

Miami

Prince Albert, Canada

(PAC)

Gatineau, Canada

(GNC)

OSU

R/V KA IMIKAI-O-KANALOA

MET

Ozone

Sensor

CAL

Sensor

Attribs

Atm

Corr

MET

Ozone

Sensor

CAL

Sensor

Attribs

Atm

Corr

Satellites

Software process

Hardware system

Climatology

Modeled

Near Real

Time

(NCEP GFS)

Static

Data Source

Ancillary input data

Approximate ground cover when Satellite altitude at;

800 Km

500 Km

Tethys

Developmental

System

L1 - L2

(L2gen)

L2CWHDF

(CW HDF

Converter)

Row data

STAR

Restricted Science

Community

L3MAP

(CW Regions)

Washington D.C

STAR Firewall System

Row data

L1 data

Row data

Requirement: Develop observational systems to support integrated ecosystem

assessments, regional management, and climate science.

Science: How can observing system and NOAA operational products be improved

to better analyze ocean, land, and climate processes.

Benefit: Collaborative ocean color radiometry from space will mitigate potential

gaps in missions / operations / capabilities.

NOAA CoastWatch/OceanWatch supports the Ocean Color Radiometry-Virtual Constellation (OCR-VC). The OCR-VC will provides a long time series of calibrated OCR from multiple satellites with activities including Cal/Val, merging of satellite data and in situ data, product generation as well as demonstration of new improved applications.

Cal/Val

Sensors

Coverage

Systems

1km daily (current)

Current Operational System (Okeanos)

Marine Optical Buoy (MOBY) / MOBY-C

  • MODIS, SeaWiFS, MERIS, OCM-2 (2009+)

  • VIIRS-NPP, OLCI (2010+)

  • 3) S-GLI, VIIRS-NPOESS (2014+)

NOAA Ocean Color Data Processing and Distribution

Software process

NASA EDOS

System

MERIS L2

(Reduced Resolution)

SeaWIFS L1A

Hardware system

User

Community

Data Source

Ancillary input data

Developed

Algorithm

Parallel Test

System (Okeanos)

Operational

System (Okeanos)

Development

System (Tethys)

CoastWatch

Web Server

Archive (CLASS)

FTP (Okeanos)

Future

L1 - L2

(L2gen)

L1 - L2

(L2gen)

L0 – L1B

Processing

NOAA/ESPC*/

NRTPE**

System

Browser

CGI/

httpd

Distribution server

(Okeanos)

Planned N. American Hi-res acquisition

MySQL/

PostgreSQL

DB

Archive (CLASS)

FTP (Okeanos)

Climatology

Modeled

Near Real

Time

(NCEP GFS)

Static

L2CWHDF

(CW HDF

Converter)

L2CWHDF

(CW HDF

Converter)

Distribution server

(Okeanos)

FTP (Okeanos)

L3MAP

(CW Regions)

L3MAP

(CW Regions)

STAR

Restricted Science

Community

Distribution Server

(Okeanos)

MOBY Distributed Calibration Exercise (MDCE)

Science System (Tethys)

Science, development, and production for the OCR constellation

Cross calibration at heritage site that is accurate, precise, well characterized, and SI traceable.

Satellites

OceanWatch (GLOBAL)

Tethys

Developmental

System

Washington D.C

STAR Firewall System

NRT Product Validation

L1 - L2

(L2gen)

Combination of sensors mitigates varied revisit times and swath width differences to ensure minimal daily data gaps for routine use.

L2CWHDF

(CW HDF

Converter)

For VIIRS-NPP onwards NOAA plans 1km full global coverage (chlorophyll, nLw)

L3MAP

(CW Regions)

STAR

Restricted Science

Community6

Science Challenges:Differences in calibration procedures and sensor band

differences make inter-sensor derived product comparisons difficult. Also required

will be acquisition station coordination and support, processing system

development and operations and calibration/validation.

Next Steps: Investigate acquisition station capability and availability; Explore satellite

differences, optimum product suite development, and establish and sustain Cal/Val

activities. Product improvement will involve SWIR atmospheric correction as well as

the Global Forecast System (GFS) ancillary data from NCEP instead of monthly

climatology data for Ocean Color data processing.

Transition Path: Transition from operations in US coastal waters (CoastWatch) to global

science quality (OceanWatch).

Application Demonstrations

HABs : Ocean Color data are routinely used to monitor the location and movement of harmful algal blooms (HABs) using Chlorophyll concentration anomalies.

WQ: Monitor water quality (WQ) in the Chesapeake Bay using derived products such as total suspended matter (TSM) to measure sediment and contaminant loading from terrestrial runoff.

LM: Support for ecological forecasts, stock assessments and living marine (LM) resource management.


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