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From Missions to Measurements: an Ocean Color Experience. 8 January 2007 . NASA’s Goal. To make available the highest quality ocean color (and sst) data to the broadest user community in the most timely and efficient manner possible. Discipline Processing Rationale.

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nasa s goal
NASA’s Goal

To make available the highest quality

ocean color (and sst) data to the

broadest user community in the most

timely and efficient manner possible.

slide3

Discipline Processing Rationale

Distributed Science-led Geophysical Product Generation/Support

  • Uses/requires existing expertise and infrastructure

- Minimizes expense & start-up time

  • Allows handling of multiple data sets simultaneously

- Not limited to mission-specific requirements and objectives

  • Provides flexibility to support discipline science requirements

- Products, algorithms, formats, gridding, reprocessings, etc.

  • Facilitates strong link between flight projects & science community
modis ocean processing reorganization
MODIS Ocean Processing Reorganization
  • MODIS Ocean Color processing reorganized by NASA HQ to coincide with new MODIS Ocean Science Team selection.
    • Ocean color to lead the NASA Earth Science Enterprise transition to “discipline processing”, i.e., move from “missions to measurements” processing.
  • Operational ocean color data processing transferred from MODAPS to the Ocean Color Discipline Processing Group on February 1, 2004 with Sea Surface Temperature following in 2005
  • Data archive/distribution functions transferred from EOSDIS to Discipline group during active life of mission
slide5

GSFC Ocean Color Program Background:A Long History of Achievement

  • Nimbus-7 Coastal Zone Color Scanner (1978-1986)
  • Airborne Oceanographic Lidar (mid-1970’s-present)
  • Community Processing & Analysis Software
    • SEAPAK (1982-1991); SeaDAS (1991- present)
  • Nimbus-7/Coastal Zone Color Scanner Global Reprocessing (1985-2000)
  • MODIS & MODIS Ocean Team (1989-present)
  • SeaWiFS Project (1991-present)
  • Sensor Intercomparison & Merger for Biological & Interdisciplinary Ocean Studies Project (SIMBIOS; 1996-2003)
  • Ocean Color Climate Data Record (CDR) Development (REASoN-CAN; recent selection)
  • NASA NPP Science Team (VIIRS ocean color, recent selection)
  • Designated as NASA’s Ocean Color Discipline Group and assumed responsibility for MODIS Ocean Color Processing (Feb. 1, 2004), SST (August 2005) and NPP/VIIRS & Aquarius role
slide6

MODIS OC Processing Strategy

  • Initial focus on MODIS/Aqua
    • MODIS/Aqua more stable than MODIS/Terra
    • MODIS/Aqua more likely to overlap with NPP/VIIRS
  • Initial emphasis on calibration & Lwn’s*
    • Large seasonal/regional differences between MODIS/(Terra & Aqua) & SeaWiFS Lwn’s
  • Reduced product set until radiometry verified
    • Simplify processing for radiometry evaluations
    • Maintain a baseline consistent with SeaWiFS product suite. Expand product suite later with Community input/feedback * Lwn’s = Water-Leaving Radiances
modis ocean color parameters
MODIS Ocean Color Parameters
  • Current OC “Baseline” Parameter Set
    • Normalized water-leaving radiances (6)
    • Aerosol optical thickness
    • Atmospheric correction epsilon
    • Ångström exponent
    • Chlorophyll-a (1)
    • Diffuse attenuation coefficient at 490 nm
    • SST (day/night)
    • Same masks & flags as OC products
    • Recently added Chlorophyll fluorescence line height and Calcite concentration
  • Previous OC Parameter Set
    • Normalized water-leaving radiances (7)
    • Aerosol optical thickness (865 nm)
    • Atmospheric correction epsilon
    • Aerosol model numbers (2)
    • Clear water aerosol correction epsilon
    • CZCS pigment concentration
    • Chlorophyll-a concentration (3)
    • Total pigment concentration
    • Chlorophyll fluorescence line height
    • Chlorophyll fluorescence baseline
    • Chlorophyll fluorescence efficiency
    • Total suspended matter
    • Coccolithophore pigment concentration
    • Detached coccolithophore concentration
    • Calcite concentration
    • Diffuse attenuation at 490 nm
    • Phycoerythobilin concentration
    • Phycourobilin concentration
    • Instantaneous PAR
    • Instantaneous absorbed radiation for fluorescence
    • Gelbstoff absorption coefficient at 400 nm
    • Phytoplankton absorption coefficient at 675 nm
    • Total absorption coefficients (5)
    • Primary production (2 at Level-4)
slide8

Calibration/Validation Approach

  • Apply same cal/val approach as for SeaWiFS
  • Common processing codes
  • Work sensor calibration issues with MCST
    • Solar and lunar calibration analysis and products, e.g., calibration tables, response-vs-scan (RVS), sensor polarization.
  • Systematically test algorithms using both SeaWiFS & MODIS for comparison
    • Polarization, BRDF, glint, cloud masking, etc.
    • Global time series with regional analyses (clear-water, deep-water, coastal, basin-latitude zones)
requirements for success1
Requirements for Success
  • Expertise: internal
    • highly integrated project structure with all elements co-located - continuous communication.
requirements for success2
Requirements for Success
  • Expertise: internal and external
    • highly integrated project structure with all elements co-located - continuous communication.
    • Strong links with mission-specific expertise (MCST) and research community (algorithms, validation data, new products)
requirements for success3
Requirements for Success
  • Expertise
  • Infrastructure
    • flexible data processing system that constantly upgrades procedures, technologies and equipment
requirements for success4
Requirements for Success
  • Expertise
  • Infrastructure
    • flexible data processing system that constantly upgrades procedures, technologies and equipment

SCIENCE drives the system rather than the SYSTEM driving the science

slide14

Current Capabilities

Fully automated, distributed data system for

acquiring, processing, analyzing, archiving,

and distributing scientific data

Current system supporting SeaWiFS,

MODIS, MOS, OCTS, CZCS, and NPP (future)

Approximately 40 distributed multiprocessor

Linux PC’s with 300 terabytes of online storage

shared by all project components including

web/ftp-based data distribution system.

processing rate for SeaWiFS global data

currently at 4000x and MODIS/Aqua 150x

requirements for success5
Requirements for Success
  • Expertise
  • Infrastructure
  • Data
    • Most efficient and ultimately most cost effective when source data is available online for all needs including processing, reprocessing, evaluation testing, distribution.
requirements for success6
Requirements for Success
  • Expertise
  • Infrastructure
  • Data
  • Communication - Open and Continuous
slide17

OceanColor

Web

oceancolor.gsfc.nasa.gov

Consolidated

data access, information, services and

community

feedback

slide18

OceanColor

Web

oceancolor.gsfc.nasa.gov

Consolidated

data access, information, services and

community

feedback

requirements for success7
Requirements for Success
  • Expertise
  • Infrastructure
  • Data
  • Communication - Open and Continuous
  • Intuitive and efficient data distribution
slide42

Evaluation Products

The table below shows the increase in coverage over the single mission product realized through the merging of the Aqua and SeaWiFS data sets.

Day

% increase over SeaWiFS = 52.8617

% increase over MODIS   = 60.0602

8-Day

% increase over SeaWiFS = 20.5960

% increase over MODIS   = 24.0016

Month

% increase over SeaWiFS = 4.68613

% increase over MODIS   = 5.10188

Year

% increase over SeaWiFS = 0.902050

% increase over MODIS   = 0.856695

requirements for success8
Requirements for Success
  • Expertise: internal and external
  • Infrastructure
  • Data
  • Communication - Open and Continuous
  • Intuitive and Efficient data distribution
  • Community access to data processing/analysis tools
slide54

1- Extensive user support with

over 500 sites, active online

Forums. > 3500 posts

2- SeaDAS ported to the

Macintosh OS X including

new Intel architecture. Also

runs on Linux, Sun, SGI

3- Redesigned GUI and

website are now much more

user-friendly

4- New simple online installer

and four SeaDAS ftp mirrors

(Australia, Brazil, Japan, UK)

5- Automated ancillary data

Download during processing

6- SeaDAS-lite option for

display/analysis only

7- Modis Direct Broadcast

And High Resolution

processing module.

8- User training workshops

slide55

Oceans Group 1(Tuesday SeaDAS Course)Ajit SubramaniamAnthony GreenawayBen GaluardiChi Hin LamDarryl WilliamsDebra FischmanJeffrey SmartLi ZhangNikolay NezlinRobert VaillancourtSantiago GassoSantina WortmanScott ChubbVicky Lin

Oceans Group 2(Wednesday SeaDAS Course)Abby MasonAlexander GilersonBarry LeshtCarla CaverhillCarla MakinenDan HolidayErik CrosmanHeidi MaassIoannis IoannouJiangang LuoJing ZhouJohn MarraLucia Lovison-GolobMatthew UptonMichael KingTimo PyhalahtiVanderlei MartinsWendy WangWesley MosesWilliam Jerez

slide56

Software process

Hardware system

Database table

Ancillary input data

Operational MODIS-Aqua Data Flow (NRTPE)

Terra and Aqua

NASA EDOS

System

Granules not received from NOAA realtime flow

October 30, 2006

Full-resolution day- and nighttime via SEN (~60 GB per day/mission)

NOAA Realtime

System

User

Community

MET

MET, Ozone, and OISST data are dynamically selected for each L1A granule

Ozone

MODISA L2

table

Ocean Color

Ingest

MODAPS L0

Archive

L1B-L2

(MSl12)

Ocean Color

Web Server

OISST

Archive - Distrib

Server

Sensor

CAL

L1A-L1B

(MOD_PR02)

Ingest queue

table

Sensor

attribs

Browser

CGI /

httpd

MODISA L3-bin

table

L3BIN

(l2bin)

Atm

corr

Archive - Distrib

Server

ATT/EPH

Ingest

process

Archive - Distrib

Server

MySQL

DB

Geo-Location

(MOD_PR03)

MODISA atteph

table

MODISA L3-map

table

Product meta data are populated from production DB

L3MAP

(smigen)

Archive - Distrib

Server

L0

Ingest

process

Archive - Distrib

Server

Archive - Distrib

Server

L0-L1A

(MOD_PR01)

MODISA L0

table

MODISA L1

table

Missing

L0

process

MODAPS L0

Archive