developing the operational cal/val components for npoess...

Developing the Operational Cal/Val components for NPOESS Ocean EDRcomponents for NPOESS Ocean EDR

Presenter/Affiliation: Robert Arnone (NRL)

1) Define a VIIRS Proxy Data Stream

Performers:, R. Vaughn, T. Scarboro, A. Weidemann, P. Martinolich

Thrust area:

2) Define the required in situ data stream for Cal/Val3) Tuning of algorithms and Thrust area: 1. 2, 5 ,6

Award date: May 2009T t l M M th Eff t

algorithms and LUTS (Vicarious calibration and SDR feedback)

4) Ocean Algorithm Total Man-Months Effort:

FY09 FY10 FY119 9 9

Algorithm, stability evaluation and uncertainty

5) Product validation and

d t l 9 9 9product long-term stability

6) Satellite inter-comparisons, robustness,

l d

Ocean Cal Val EDR Program Review, 2010

seasonal and product stability

Developing the Operational Cal/Val components for NPOESS Ocean EDR

NAVOCEANO – NP3- MSCCT - Doug May NP3 Satellite Optics – K. Matalewski , P. Lyon

SPAWAR PMW 120 – Ed Mosley –CNMOC – T. Bowers

NAVOCEANO: NP3 – May, NP1- Bub for SST NRL – Clark Rowley, B. Gao ONR – Code 32 (Ackleson/ Cleveland) Optics

Collaboration and CoordinationCollaboration and Coordinationwith Inside and Outside Activitieswith Inside and Outside Activities

Transition Partners Transition Partners

O6F5 – Oceanogapher of Navy – R. Winokur

NOAA – NESDIS - Coastwatch - P. Di Giacomo, N. May, OCPOP – L .StepholopousNOS – R. Stumpf, T. Wynn

ONR Code 32 (Ackleson/ Cleveland) Optics NASA: MODIS / SeaWIFS – Science team- Mc Clain

VOAT – Turpie Earth Science Applications – SSC

NOAA: NCDC- Kearns NESDIS – DiGiacomo, NOS – Stumpf

NIST – JohnsonNASA – GSFC – OBPG - SeaBass J.Werdell,

OBPG – SeaDAS – B. Franz, Mc Clain Ocean PEATE – F.Pratt

NGAS - Cal val – S. Jackson, P. Patt

NIST – Johnson

IPO: Gravite,SDR – VIIRS Cal val team

6.1 NRL – BioSpace – Modeling / remote sensing 6.2 NRL – Hyperspectral Imaging of the Coastal Oceans

(HICO)

International PartnershipsInternational PartnershipsLeveraged RDT&E Projects Leveraged RDT&E Projects

JRC – G. Zibordi - Aeronet / SeaPrism Int Ocean Color Cor. Group –NATO NURC(HICO)

6.4 – SPAWAR - Preparing Tactical Ocean Optical Products from future polar- orbiter sensors

6.4- Modeling, Sensing and Forecasting Ocean Optical Products for Navy Systems

NATO – NURC Australia – V. Brando


NASA – Martha’s Vineyard Coastal Observatory Program


FY 09- MILESTONES Completed In Progress

Milestone 1: Develop Proxy data stream of VIIRS data

p

p ySoftware delivered to Graviti V1 Integrated into MoviCon Software in Testing and Proxy data stream -

Milestone 2: Evaluate algorithms for different color sensorsgIntegrate MERIS into processing V3.8.2 software Deliver software to team (NOS, OSU, NURC) Evaluate MERIS and MODIS products Integrate Proxy data (HDF5) integration into processing V.4 Deliver Software to team (NOS OSU)Deliver Software to team (NOS, OSU) Evaluate Algorithms

Milestone 3: Develop coastal cal val sites and match-up uncertainty Purchase, and prepare /sensor site for Aeronet / SeaPRISM Coordinate with national/international aeronet siteCoordinate with national/international aeronet site Operate site in Gulf of Mexico Establish web interface with aeronet / SeaPrism Sites Examine real time match series match up series Characterize the spatial / temporal uncertainty of match up

Mil t 4 C di t l l


Milestone 4: Coordinate cal val program Update plan Coordinate with PI – telecon Coordinate with cal val leads and IPO

Task 1: VIIRS PROXY data..- Risk reduction for NPP –

Establish readiness –Users (research and operational)Users (research and operational)

- Defines the issues & capabilities for NPP VIIRS- Prepare data formats- Sensor Ground Resolution differencesSensor Ground Resolution differences - Sensor Characteristics differences

- Establish a data stream for readiness.Real-time regional Interface with GravitegRegional evaluations


Ocean Proxy VIIRS Data generator – “OCP”generator OCP

Convolve the VIIRS spectral response with

components. Level 1- MODIS

Ocean Color – Proxy Data Stream - HTOA

– Established MODIS –Top of Atm RadianceMODIS - channels

Top of Atm Radiance VIIRS 1nm Hyperspectral (Lt (v))

VIIRS software on Gravite

– Account for Different MODIS water Remote SensingReflectance

Atm. CorrectionAtm. CorrectionRayleighRayleighAerosolsAerosolsρρwwswsw

Expand MODIS λ to HyperspectalAerosol Spectrum

ττ 22 λλ11[ ][ ]η η

La(λ)

Lt (v) = Lw(v)+ La(v) +Lr(v)Channels (MODIS- NPP)

and Crosstalk

Derive WaterProperties (IOP)At 6 λ s

AbsorptionAbsorption

Expand MODIS λ to Hyperspectral Rayleigh Spectrum

MODIS hyperspectral

λλ --44

ττa2a2 == λλ11ττa1a1 λλ22

[ ][ ]

ρρww

Level 2- MODIS

Lr(λ)

• Provide readiness – Scattering Scattering

OptimizationOptimizationAlgorithmAlgorithm

MODIS – hyperspectralContinuous Water Spectrum Lw(λ)

Expand Continuous Spectrum Expand Continuous Spectrum To Top of AtmosphereTo Top of Atmosphere

Provide readiness reduce risk

• Evaluate methods, cal val procedures


Expand IOP at MODIS λ ρwTo Continuous Spectrum

“Hyperspectral” Note: Note: ρρ = reflectance= reflectance

val procedures • Evaluate algorithms

performance

True Color

VIIRS - Proxy – Top Of Atmosphere

MODISTOA 488 nm

Lt

(488

nm) Proxy TOA VIIRS“RGB” R

RS

448 Water Reflectance

y V

IIRS

TO

A P

-Pro

xy –

Ocean Cal Val EDR Program Review, 2010 MODIS TOA Lt (488nm)

Pro

xy

Miss Bight Jan 2010 MODIS – RRS 448

NP

P

MODIS NPPMODIS NPP


MODIS Chlorophyll (OC3) NPP – Chlorophyll (OC3)p y ( ) p y ( )

MODIS – Diver Visibility NPP- Diver VisibilityDiff

MODIS Diver Visibility NPP Diver Visibility Difference


1) Issues with the MODIS Bowtie registration !! 2) Water Leaving Radiance – Banding (detector) 3) Established a data stream of NPP IDPS

Data Flow - Proxy DataData Flow Proxy Data • Automated Processing System (APS) coordinated with NASA –

NL2gen G it IPO C t i Li k i t th SDR LUT t i t• Gravite – IPO Centric Link into the SDR – LUT etc prior to IDPS..

Present MODIS

Data Feeds NRTPEMODIS

MODIS Processing

OCP –Hyperspectral

Spectral transformGravite

R l Ti

West Coast, US

Oregon State

APSMODIS

“NL2gen” Gravite“MOVICO

Spectral transform Real Time VIIRS proxy Generator

East CoastNOS

NRTPEMOVICO

N”VIIRS formatsSpatial scales

Gulf of Mexico Foreign Areas

NRL

DistributionData products

GTP


MODIS Products

Processing VIIRS proxy to products

APS (HDF5) Vaughan, Lee, Martinolich, Zajac




p

Software delivered to Graviti V1 Integrated into MoviCon Software in Testing and Proxy data stream -

Milestone 2: Evaluate algorithms for different color sensorsIntegrate MERIS into processing V3.8.2 software Deliver software to team (NOS, OSU, NURC) Evaluate MERIS and MODIS products Integrate Proxy data (HDF5) integration into processing V.4 Deliver Software to team (NOS, OSU)Deliver Software to team (NOS, OSU) Evaluate Algorithms

Milestone 3: Develop coastal cal val sites and match-up uncertainty Purchase, and prepare /sensor site for Aeronet / SeaPRISMCoordinate with national/international aeronet site Operate site in Gulf of Mexico Establish web interface with aeronet / SeaPrism Sites Examine real time match series match up series Characterize the spatial / temporal uncertainty of match up

Milestone 4: Coordinate cal val program


Milestone 4: Coordinate cal val program Update plan Coordinate with PI – teleconCoordinate with cal val leads and IPO

Coastal Calibration and Validation For product

Uncertainty

• 9 –> 20 Aeronet / SeaPRISM sites around th ld hi h d li l d L ’ i

AERONET‐OCthe world which deliver aerosol and nLw’s in coastal regions - QCC being tested with MVCO data.

• Purchased and preparing to deploy Navy p p g p y yAeronet / SeaPRISM robotic system in the northern Gulf of Mexico

• Two more SeaPRISM sites are begining deployed through the IPO cal/val programdeployed through the IPO cal/val program

Ocean Cal Val EDR Program Review, 2010Current sites Potential sitesPlanned sites

AERONET-OC (2002-present)AERONET-OC (2002-present)

Current sites Potential sitesPlanned sitesCurrent sites

•NASA manages the network infrastructure (i.e., handles the instruments calibration and, datacollection, processing and distribution within AERONET).

JRC has the scientific responsibilit of the processing algorithms and performs the q alit

Current management and responsibilitiesPotential sitesPlanned sites

Giuseppe Zibordi – JRC


• JRC has the scientific responsibility of the processing algorithms and performs the qualityassurance of data products.• 3 new US coastal sites for the JPSS ( Navy and IPO)•

CUNY – S. Ahmed, A. Gliseron

CSIRO – V. Brando LJCO

USC – B. Jones, OSU- C. Davis

NRL – A. Weidemann, LSU-B. Gibson

Some Sites have “substantial”additional optics ongoing : Hypersas ac9 etc etcongoing : Hypersas, ac9 etc etc.

UNIVERSITYOregon State

UNIVERSITYOregon State

Platform _Enreka~ 8m Long term – monitoring

Establish national and international protocols partners


- Establish national and international protocols, partners - Establish multi- platform spatial and temporal uncertainty - Define Sea Prism capability NIST traceability

Monitoring Ocean Color Quality Monitoring Ocean Color Quality Control and Product Uncertainty Control and Product Uncertainty

APS Processing

APS Processinggg

MDMI tool

ModisReal time Inter comparions of

mySQLDatabase

PHP

od sSeaWiFS

MerisOCM

NPP

Inter-comparions of Satellite, productsAlgorithms

ScriptsDaily matchDaily match--ups for ups for nLw’snLw’s and IOP products:and IOP products:

S ft tiS ft ti•• Software operating Software operating •• Post results to internal web site for automatic Post results to internal web site for automatic

monitoring monitoring •• Inter comparison of Multiple satellites MODIS, Inter comparison of Multiple satellites MODIS,

MERISMERIS SeaWIFSSeaWIFS (APS)(APS)


MERIS, MERIS, SeaWIFSSeaWIFS (APS) (APS) •• Allow for analysis of anomalies.Allow for analysis of anomalies.•• Optimize Navy algorithms for coastal Optimize Navy algorithms for coastal

application.application.AERONET‐OC

Martha’s Vineyard October 31 2008

Spatial Uncertainty

October 31, 2008Automated Automated –– real time Matchreal time Match‐‐up up 1‐ aerosol optical depth2. Remote sensing reflectance 3. In‐ water opticsp4. Navy products

9km 2

1k 21km2

ΣΣ9km9km22 ΣΣ1.5km1.5km22

13x13 and 5x5 13x13 and 5x5 1)Center1)Center


1)Center 1)Center Pixel Pixel

2) Mean 2) Mean 3) Variance 3) Variance 2/6/2010 15

Real-time Quality Control and products assurance

• SeaPRISM data has three levels and the highest level available is automatically chosen.

– Level 1: Unscreened data– Level 1.5: Cloud screened data– Level 2.0: Cloud screened and quality assured dataq y

• MODIS data is NRL’s APS processed to Level 3– Plots quickly and easily show variations between satellite and in situ data.

• Enable algorithms evaluation and stability • Presently working the statistical trends (annual

l ) f t i tAerosol Optical depth cycles) for uncertainty

Martha’s Vineyard

Aerosol Optical depth

Comparisons

Wavelength (nm)

SeaPrism (Insitu) -- --MODIS algorithms

1km -- 250m --

Normalize Water leaving Radiance “Water Color”

Ocean Cal Val EDR Program Review, 2010 Wavelength (nm)

APS – products

RealReal--time Monitoring Satellite time Monitoring Satellite

Aerosol Optical Depth Aerosol Optical Depth

MVCO – Aeronet ---- ggretrievals (Web Site) retrievals (Web Site)

Time series show match-up of insitucoastal site and satellite retrievals.

MVCO Aeronet ----MODIS (1km) ----MODIS (250) ----

•Daily averages are used for each point.•Monitors the stability of the satellite and

•Stability of the algorithms !Stability of the algorithms !

• Upgrading for global coastal sites !! Upgrading for global coastal sites !!

2009 – Coastal Site MVCO

Ocean Cal Val EDR Program Review, 2010Day in 2009




p



Milestone 3: Develop coastal cal val sites and match-up uncertainty Purchase, and prepare /sensor site for Aeronet / SeaPRISMCoordinate with national/international aeronet siteCoordinate with national/international aeronet site Operate site in Gulf of Mexico Establish web interface with aeronet / SeaPrism Sites Examine real time match series match up series Characterize the spatial / temporal uncertainty of match up

Mil t 4 C di t l l



2009 2010 2011

APS Roadmap & TransitionAPS Roadmap & Transition

Q1 Q2 Q3 Q4 Q1 Q2 Q3Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4Q4 Q1 Q2 Q3 Q4Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4Q4 Q1 Q2 Q3 Q4

V3.8 Op-Check V3.8 Operational V4.0 OpV4.0 Op--CheckCheck V4.0 Operational V4.2 Op-Check

v4.2 (Linux,A2)V3 8 (Linux A2) v4.0 (Linux, A2)Beta

v4.2 (Linux,A2)

• VIIR proxy data stream &• NPP – data stream HDF5 • IOP algorithm upgrades , LMI , QAA, • QCC Cal val Aeronet / SeaPRISM

V3.8 (Linux, A2)

• IOP upgrades MODIS/ SeaWIFS/ OCM/ MERIS – QAA v5.0• Particle Size Distribution • METOP processing (v2.0)

v4.0 (Linux, A2)• MERIS Processing (v3.0)Improved Atm Correction (SMILE)1km & 300 m• IOP upgrades - LMI Optical, QAA • VIIRS proxy data RT - HDF5

NPP t h d t ti ti Matchup / Web services • QCC Automated product validation• New Atm Corr • ----------------------------------------------•Beta Testing – Foreign Sensors

Sentinel II OCM2 GOCI

• Euphotic Depth Algorithms• Estimated Lidar Penetration • Water Mass Classification • Atm Cor -250 m MODIS SWIR • 250 m IOP products

• NPP proxy match up and statistics • QCC Cal Val Aeronet/ SeaPRISM / match-

up transition.• New Ahmed-Frazer aerosol table suite

(AERONET based, 80 models) • Goddard 2009 Reprocessing updates - Sentinel II, OCM2, GOCI

• SEED Image for 2D/3D (Cloud Filled)

• Satellite / Model Visualization • Google Earth (KMZ)

Goddard 2009 Reprocessing updates• High-resolution (250m) land mask

NPP Transitions NPOESS TransitionsGoogle Earth (KMZ)

NPOESS related:• MERIS processing (v2.0)

LUT, L1A & L2 processing • OCM 1 - Processing (v2.0)


• Upgrade HDF4 to HDF5 / netCDF

Integrated MERIS processing into AOPS for NAVOIntegrated MERIS processing into AOPS for NAVO-- Readiness for NPP algorithm evaluation with Readiness for NPP algorithm evaluation with

presentpresent Govn’tGovn’t algorithmsalgorithmsRrs 490nm

Rrs490

From ESA

present present Govn tGovn t algorithms algorithms

Improvements To MERIS Processing A d i t t d t

Difference (ESA-APS)Backscatter Bb 560nm (QAA)

490

Usi ESA

ESAL2

Atmospheric Correction

And integrated to NAVO + NASA + NOAA

Using ESAlevel 2 (Atm correction)

Atmospheric Correction - using ESA / L2 - using APS(n2gen)

Glint Flags: Rrs Difference (1/sr)

True Color Bb560

(QAA)Using (n2gen)Atm correction APS

From L2gen APSMonterey Bay

APS

Less Atmospheric

Ocean Cal Val EDR Program Review, 2010-.03 -.018 -.006 .006 .018 .03

Rrs (1/sr)

.0005 .002 .008 .032 .13 .5

Bb (1/m)

AtmosphericFailures

-.01 -.006 -.002 .002 .006 .01

Bb 560 Difference (1/sr)

Gulf of California, CA

Prepared new satellite for operations

,July 22, 2008 17:47 GMT

Rrs 443nm Bb 560nm (QAA) Difference (ESA-APS)

Rrs443

Using ESAlevel 2

From ESA

MERIS data not 443level 2 (Atm correction)

ESAL2

Being used inOperations

True Color

Bb560

(QAA)Using (n2gen)Atm correction APS

From L2gen APSAPS APS


Rrs (1/sr)

-.01 -.006 -.002 .002 .006 .01

Rrs Difference (1/sr)

.0005 .002 .008 .032 .13 .5

Bb (1/m)

MERIS vs. MODIS (NRL)March 20, 2008 16:04 GMT

Results of Analyses Results of Analyses 1) MERIS software uses the Level 1 input in APS . 2) Comparison with MODIS and insitu is good

MERIS Bb 560nm (QAA) MODIS Aqua Bb 555nm (QAA)

MERIS is greater in coastal waters

) p g3) APS v3.8.3 uses MERIS in operations

MERIS Bb 560nm (QAA) MODIS Aqua Bb 555nm (QAA)

Difference (MERIS – MODIS).0005 .002 .008 .032 .13 .5

Bb (1/m)


Bb Difference (1/sr)




p



Milestone 3: Develop coastal cal val sites and match-up uncertainty Purchase, and prepare /sensor site for Aeronet / SeaPRISMCoordinate with national/international aeronet siteCoordinate with national/international aeronet site Operate site in Gulf of Mexico Establish web interface with aeronet / SeaPrism Sites Examine real time match series match up series Characterize the spatial / temporal uncertainty of match up

Mil t 4 C di t l l



PlPlPlans Plans

Proxy data sets-1) Conducting evaluation1) Conducting evaluation

- Algorithms performance – (MERIS, MODIS, NPP) - Statistical relationships and uncertainty - APS – evaluation

2) Distribution of APS v4.0 software with VIIRS processing (OSU, NOS)

3) Regional products data support – (NRL)- NORFOLK – Navy exercise Planned in May-JuneNORFOLK Navy exercise Planned in May June - Gulf Of Mexico - Arabian Gulf

4) Access to GTP – data stream G it T f P t lGravite Transfer Protocol Scripts

Data flow – real time – can’t go down


NPP Proxy Data Testing and Evaluation Vi i i / Ch k B (J 2010)

• Algorithms Evaluations – Comparison with Aeronet /SeaPrism

Virginia / Chesapeake Bay (June 2010)

– And Glider optics • Glider Optics – Quality control optical and physical properties (LAGER)

Deployment and data analyses (GOC)

• Satellite Optics (AOPS)Near-shore and Off-shore opticsincluding horizontal and vertical visibility

250m MERIS& MODIS & NPP

• OpCastPredictive Optics 24 – 48 hours Coupling Satellite opticsand models (

Op-Area

• 3d Optics Coupling Gliders, Satellites and Models (NRL)

• Performance Surface


EODES Model Linking the 3d optics with the AQS 24 (NRL)\

Backscattering @560nm – Oct. 21, 2009 (300m Resolution)

.001 .003 .008 1/m .02 .07 .2


FY 10- MILESTONES : Deliverables and Plans


p

p ySet and test the proxy data stream for OC and SST (data sets in gravite) Evaluate the proxy data set for different regions (report / presentation)

Milestone 2: Evaluate algorithms for different color sensorsMilestone 2: Evaluate algorithms for different color sensorsAutomate the evaluation with statistical difference of the Algorithms (Demo) Examine probability Distribution Function of errors and algorithms uncertainty (Report / pres)

Milestone 3: Develop coastal cal val sites and match-up uncertainty es o e 3: e e op coasta ca a s tes a d atc up u ce ta tySet up and monitor the Gulf of Mexico Site (Data set)Automate the match up and the product validation of the Remote sensing reflectance (web tool )Examine the uncertainty in spatial and temporal uncertainty of match – up Determine the differences in the regional uncertainty using various aeronet data sets (web tool)

Milestone 4: Coordinate cal val program Update plan (telecon, reports) Coordinate with PI – telecon Coordinate with cal val


Coordinate with cal val


Status and Issues:• 1stDeliverable: (Proxy Ocean Color Data )

1. Ocean Color Proxy Data into Gravite and into APS

2. Development status: 90% (percent complete)

3. Assess to gravite - real time data access – other users g

• 2nd Deliverable: (Coastal Cal Val Sites and Match up Uncertainty )1. GOM Site Aeronet / SeaPrism (50% complete) installation in summer

2. National / International sites coordinated (50% complete) workshop

3. Web match-up Software and uncertainty (70% complete) limited site coverage

• 3d Deliverable: Algorithms evaluation 1. Software version 3.8 delivered (OSU, NOS) for Inter-satellite evalation

2 S ft 4 0 90% l t d i f d li (NPP i )


2. Software 4.0 90% complete and preparing for delivery (NPP processing)

3. Regional algorithms evaluation and analyses – starts in May

Summary : Impact of Deliverables on Program:Summary : Impact of Deliverables on Program:


Summary : Impact of Deliverables on Program: Summary : Impact of Deliverables on Program:

A) Proxy Data – Critical for Preparing the data flow and establishing cal val group for VIIRS data analyses - prepares team for launch

B) Aeronet / SeaPrism sites – Coordinated effort to provide “national - international” data sets for both temporal and regional validation.

1) Provide both atm and in water measurements for validation and product uncertainty 2) Provide capability to evaluate the calibration issues2) Provide capability to evaluate the calibration issues .. 3) Coastal sites – Provide real time products evaluation for operational products capability 4) Web tools provide automated match-up and uncertainty for many users. (R2Operations) 5) Match- up uncertainty research – provide capability to assess inter-satellite algorithms and improved validation 6) Efficient method for maintaining cal val monitoring of multiple satellites

C) Inter satellite evaluation – prepares team to rapid evaluation of NPP products to get them into operations.

D) Impact of deliverables at launch –1. Methods and Tools will be used ASAP after launch 2. Real-data substituted for proxy at launch 3. LUT / validation will be in near real time


3. LUT / validation will be in near real time 4. Provide input SDR and NGAS through Gravite within 2 months of launch.

Project Schedule with Project Schedule with Major DeliverablesMajor Deliverables

Red hyperlink indicates delays and green indicates on or ahead of schedule (as compared to FY09 DD1498)

Title: Developing the Operational Cal/Val components for NPOESS Ocean EDR Developing the Operational Cal/Val components for NPOESS Ocean EDR FY09 FY10 FY11 FY12 FY13

Q1 Q2 Q3Q

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4Q1 Q2 Q3Q4

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

Task #1Task #1-- Proxy Data Proxy Data Stream Stream

S V0V1D

V2 S

Task #2Task #2-- Develop coastal Develop coastal l l it dl l it d I.cal val sites and cal val sites and

matchmatch--up uncertainty up uncertainty S P D

I. W

O R O

Task #3Task #3-- : Evaluate : Evaluate algorithms for algorithms for diff t ldiff t l

V3.8

v4 R V5 O V6 O V7 O

different color sensorsdifferent color sensors

Task 4Task 4-- Cal Val Cal Val Coordination Coordination

S R R R R

Note: Timeliness of deliverables science and transition (i e documents/demo/software etc) Indicate


Note: Timeliness of deliverables science and transition (i.e., documents/demo/software, etc). Indicate changes from FY09 1498 by highlighting original planned time in red. legend: S – Start, C – Complete, D – Demo, I-Issues, M - Manual/Documentation, R – Final Report, T- TransitionI- installed P-purchased – W- RT Web


1) Define a VIIRS Proxy Data Stream

Questions ?2) Define the required in situ data stream for Cal/Val3) Tuning of Questions ?algorithms and LUTS (Vicarious calibration and SDR feedback)

4) Ocean )Algorithm, stability evaluation and uncertainty

5) Product validation and product long-term stability

6) Satellite inter-comparisons, robustness


robustness, seasonal and product stability

Preparing Tactical Ocean Optical Products Preparing Tactical Ocean Optical Products

for Future Polarfor Future Polar--Orbiting Sensors Orbiting Sensors

Calibration Validation

Quality Quality Control CenterControl Center

Insitu Data

Ocean Ocean R & D R & D CenterCenter

NRL, NRL, ProtocolsProtocolsData basesData bases

Evaluation Board

M it i

Satellite Match-up

Data I- Calibration / Validation II- Extending in-water Algorithms III- Establish Uncertainty Budget IV – Integrate into Processing Center V- Preparing Future Navy Capability

Pre-operation Navy EDR’s

Testing and Development

Satellite Ingest Center

AlgorithmSPIRAL

Monitoring and QC

“Uncertainty”

IDPSOperational

Navy NPOESS Processing

Center

DevelopmentJoint NRL/NAVOPre-operational

Web Site SDSEDR

Center

Navy – SDR Navy –ERD ASW

NRTPE-Issues – SDR data quality

-Formats etc. -Time lines XX--band band

SSCSSC


NAVO – Web Services

GIG

SpecialProducts

NSWMIWISR Hydrography

SSCSSC

1 2 3 4 5 6

Proxy VIIRS Data Stream

"In-situ" data collection

Vicarious calibration and

LUT tuning

Algorithm Performance Product Validation Inter-satellite

calibration

1. Software versions -MODIS to VIIRS

6. Moby or AHAB calibration in-situ data

12. Evaluation of Vicarious cal using MOBY, AERONET, Open Ocean Gyre water

17. Evaluation of ocean color Algorithms with VIIRS Proxy Data

21. Automated match up of ocean color imagery products with in-situ data

25. Establish protocols for ocean color products continuity (MODIS/MERIS/ SeaWIFS) Seasonal/Temporal evaluation

2, 3, 11, 46 11, 12 2, 11, 12 1, 2, 13, 40, 1, 2, 7, 12, 13, 40, 44, 45, 47, 2, 13, 40, 41-42

2. Integrate Sensor characteristics into Software versions

(Crosstalk, Polarization, etc)

7. AERONET -SeaPRISM data stream

13. Automated tuning of the SST algorithms

18. Evaluation of SST algorithms with VIIRS

Proxy data

22. Automated matchup of SST (Bulk/Skin) with matchup

26. Establish protocols for SST product continuity-

MODIS/AVHRR/ METOP , Seasonal/Temporal

evaluation

2, 11, 41-42, 46 2, 47, 48, 53, 52, 55, 56 3, 10, 41-42, 3, 10, 41-42,43 3, 5, 10, 41-42, 45 3, 13, 41-42

3. Integrate Proxy software into NRTPE

8. Ship Cruise Data -field data stream , bio-

optical and MERIS-buoy measurements

14. Coupling skin and bulk measurements MERI and

Buoys comparison and analyses for SST

19. Evaluation of the Atmospheric Correction

methods

23 Ship cruise data (SST and Color) match up with satellite

imagery

27. Demonstrate real time continuity of Ocean Color

products buoy measurements analyses for SST

3, 14, 41-42, 46 7, 12, 13, 40, 41-42, 45, 48, 5, 41-42 6, 11, 13 2, 7, 12, 13, 40, 44, 45, 53 4, 13, 14, 40

4. Demonstrate VIIRS data stream to users.

9. In-situ data management tools

15. Develop methods for automated Vicarious

C lib i

20. Comparison of radiative transfer SST

d l

24. Determine if the available insitu data can

validate products28. Demonstrate real time

Continuity of SST productsdata stream to users. management tools Calibration models validate products space/temporal

Continuity of SST products

3, 11, 14, 46 12, 40, 48, 2, 11, 12 10, 41-42 12, 44, 45 3, 10

5. Model VIIRIS proxy data using MODIS Lw to

TOA

10. Buoy match ups of SST

16. Generation of Rayleigh Look up tables


21 3, 41-41, 11

11. Instrument upgrades and NIST

traceability

12

Investigators and collaborations Academic: 40. Davis (OSU); 41-42. Evans/ Minnett (RSMAS); 43. Emery (Univ. CO) 44. Letelier (OSU); 45. Trees (NURC); 46. Lee (MSU); 47. Jones (UCS); 48. Fargion (SDSU); 50.Johnson (NIST); 52. Robinson (UK); 53. Ahmed (CUNY); 55. Zibordi(JRC)NOAA: 10. Ignatov ; 11. Wang; 12. Ondrusek ; 13. Stumpf; 14. Stapholopous ; 15. Kearns; 16. DiGiacomoNavy: 1. Arnone ; 2. Lyon; 3. May; 4. Metaluski; 5. Rowley; 6. Gao; 7. GouldNASA: 20. OBPG (TBD); 21. Turpie , 56, Brando

T i T k L d T M b St t

“8” Working Groups” Ocean EDR Product Calibration & Validation(1/2)

Topic Tasks Lead Team Members Status

This effort is to put the software implementation into

a) Software implementation: Lee, Vaughn, Zajic; On going,

1. VIIRS Proxy data *1. VIIRS Proxy data *p

L2gen and APS;The second effort will be to use these data.

Arnoneg , j ;

b) Users of Proxy Data: Davis, Stumpf, Wang, Gao, Trees

g g,No issue to

report

Establish US sites, and I i l C di i D i & Holben Ahmed Weidemann

On going,N i2. AERONET 2. AERONET SeaPRISMSeaPRISM ** International Coordination;

Protocols, data QA/QCDavis & Fargion

Holben, Ahmed, Weidemann, Zibordi, Gilerson, Jones, Gibson, Johnson, Brando

No issue to report

Proxy data production and ft P d t On going

3. SST Cal/Val *3. SST Cal/Val *software; Proxy data testing and evaluation; in-situ data collection and management

May Ignatov, Evans, Minnett, Emery

On going,No issue to

report

d if fi ld i i i4. In4. In--situ data situ data collection/management *collection/management *

Identify field activities, sites, protocols, data QA/QC, data management

FargionDavis, Stumpf, Ondrusek, Trees, Arnone, Turpie, Werdell, Weidemann

On going,No issue to

report

A O h


5. Automated matchup / 5. Automated matchup / uncertainty of inuncertainty of in--situ data with situ data with satellite data satellite data

AERONET match up software; MOBY matchup procedures; validation data matchup procedures; develop common tools

Arnone Ahmed, Davis, Stumpf, Ondrusek, Fargion, Wang, Turpie,

Will start in Spring 2010

“8” Working Groups” Ocean EDR Product Calibration & Validation(2/2)

Topic Tasks Lead Team Members Status

6. Vicarious calibration 6. Vicarious calibration Using MOBY, central t l/ W Davis, Stumpf, Ondrusek, Will start in

methods methods gyres, coastal/open ocean, etc.

Wang , p , ,Fargion, Gould Spring 2010

Establish Protocols for Data Continuity; Review the approach used by

7. Demonstrate real time 7. Demonstrate real time continuity of ocean color data continuity of ocean color data products in preparation forproducts in preparation for

the approach used by GLOBCOLOUR and other programs to merge MERIS, MODIS and SeaWiFS data; Stumpf Davis, Ondrusek, Fargion,

Wang Arnone TreesWill start in Spring 2010products in preparation for products in preparation for

VIIRS products * VIIRS products * Combining data from multiple satellites; Cross satellite comparisons for coastal water types; Atmospheric correction

Wang, Arnone, Trees Spring 2010

Atmospheric correction issues

Validate with US coastal sites; take advantage of the international sites; Will i


8. Coastal Ocean Algorithms8. Coastal Ocean Algorithmsthe international sites; test and validate algorithms; using SeaPRISM and other matchups

Lee Davis, Stumpf, Wang, Gao Will start in Spring 2010

1 2 3 4 5 6

Proxy VIIRS Data Stream

"In-situ" data collection

Vicarious calibration and

LUT tuning

Algorithm Performance Product Validation Inter-satellite

calibration

1. Software versions -MODIS to VIIRS

6. Moby or AHAB calibration in-situ data

12. Evaluation of Vicarious cal using MOBY, AERONET, Open Ocean Gyre water

17. Evaluation of ocean color Algorithms with VIIRS Proxy Data

21. Automated match up of ocean color imagery products with in-situ data

25. Establish protocols for ocean color products continuity (MODIS/MERIS/ SeaWIFS) Seasonal/Temporal evaluation

2, 3, 11, 46 11, 12 2, 11, 12 1, 2, 13, 40, 1, 2, 7, 12, 13, 40, 44, 45, 47, 2, 13, 40, 41-42

2. Integrate Sensor characteristics into Software versions

(Crosstalk, Polarization, etc)

7. AERONET -SeaPRISM data stream

13. Automated tuning of the SST algorithms

18. Evaluation of SST algorithms with VIIRS

Proxy data

22. Automated matchup of SST (Bulk/Skin) with matchup

26. Establish protocols for SST product continuity-

MODIS/AVHRR/ METOP , Seasonal/Temporal

evaluation

2, 11, 41-42, 46 2, 47, 48, 53, 52, 55 3, 10, 41-42, 3, 10, 41-42,43 3, 5, 10, 41-42, 45 3, 13, 41-42

3. Integrate Proxy software into NRTPE

8. Ship Cruise Data -field data stream , bio-

optical and MERIS-buoy measurements

14. Coupling skin and bulk measurements MERI and

Buoys comparison and analyses for SST

19. Evaluation of the Atmospheric Correction

methods

23 Ship cruise data (SST and Color) match up with satellite

imagery

27. Demonstrate real time continuity of Ocean Color

products buoy measurements analyses for SST

3, 14, 41-42, 46 7, 12, 13, 40, 41-42, 45, 48, 5, 41-42 6, 11, 13 2, 7, 12, 13, 40, 44, 45, 53 4, 13, 14, 40

4. Demonstrate VIIRS data stream to users.

9. In-situ data management tools

15. Develop methods for automated Vicarious

C lib i

20. Comparison of radiative transfer SST

d l

24. Determine if the available insitu data can

validate products28. Demonstrate real time

Continuity of SST productsdata stream to users. management tools Calibration models validate products space/temporal

Continuity of SST products

3, 11, 14, 46 12, 40, 48, 2, 11, 12 10, 41-42 12, 44, 45 3, 10

5. Model VIIRIS proxy data using MODIS Lw to

TOA

10. Buoy match ups of SST

16. Generation of Rayleigh Look up tables


21 3, 41-41, 11

11. Instrument upgrades and NIST

traceability

12, 50

Funded investigators and collaborations Academic: 40. Davis (OSU); 41-42. Evans/ Minnett (RSMAS); 43. Emery (Univ. CO) 44. Letelier (OSU); 45. Trees (NURC); 46. Lee (MSU); 47. Jones (UCS); 48. Fargion (SDSU); 50.Johnson (NIST); 52. Robinson (UK); 53. Ahmed (CUNY); 55. Zibordi(JRC)NOAA: 10. Ignatov ; 11. Wang; 12. Ondrusek ; 13. Stumpf; 14. Stapholopous ; 15. Kearns; 16. DiGiacomoNavy: 1. Arnone ; 2. Lyon; 3. May; 4. Metaluski; 5. Rowley; 6. Gao; 7. GouldNASA: 20. OBPG (TBD); 21. Turpie

Guidelines For Program Review:Overall objectives: •• The objective of this meeting is to give the The objective of this meeting is to give the statusstatus (by task) of your individual efforts, milestones and (by task) of your individual efforts, milestones and

deliverables ongoing in FY09, as well as plans for FY10. The meeting will be attended by funding agencies deliverables ongoing in FY09, as well as plans for FY10. The meeting will be attended by funding agencies and possibly, future “users” (transitional partners). If you have supporting operational folks or outside and possibly, future “users” (transitional partners). If you have supporting operational folks or outside agencies, personnel, etc. that are your transition points and support your milestones, please inform them agencies, personnel, etc. that are your transition points and support your milestones, please inform them g , p , y p pp y , pg , p , y p pp y , pof this review, and let us know as well, so we can invite them to the meeting. of this review, and let us know as well, so we can invite them to the meeting.

•• This meeting is NOT a typical This meeting is NOT a typical science science meeting, you should address operational milestones and your meeting, you should address operational milestones and your interactions with the other components of the program. The individual presentations will provide the team interactions with the other components of the program. The individual presentations will provide the team an opportunity to further interact and leverage efforts. an opportunity to further interact and leverage efforts.

•• Identify your role in the cal/Identify your role in the cal/valval program, possible areas of risks, delivery delays, impact on otherprogram, possible areas of risks, delivery delays, impact on otherIdentify your role in the cal/Identify your role in the cal/valval program, possible areas of risks, delivery delays, impact on other program, possible areas of risks, delivery delays, impact on other investigators and on the program. Describe how your activities are leveraging other effortsinvestigators and on the program. Describe how your activities are leveraging other efforts within the calwithin the cal--valval and outside teams.and outside teams.

• identify a gap plan for responsibilities/solutions and what coordination across disciplines you are proposing •• Expected questions could be: Expected questions could be:

• How does your effort fit into the mission launch? How are your calHow are your cal--valval activities integrated into IPO program?activities integrated into IPO program?• How does your effort fit into the mission launch? How are your calHow are your cal--valval activities integrated into IPO program? activities integrated into IPO program? • Are you going to be ready at launch? Do you have a back-up plan if not?• What is the impact if you are not supported (to other investigators and program)?•• How are you going to transition to the users/partners? How are you going to transition to the users/partners? •• If your cal/If your cal/valval activities require reprocessing, what time frame do you need (evaluate this impact) ?activities require reprocessing, what time frame do you need (evaluate this impact) ?

Each PI has an assigned total time slot for the presentation (20 30 35 45 or 50 minutes) Time slot• Each PI has an assigned total time slot for the presentation (20, 30, 35, 45 or 50 minutes). Time slot includes time for questions

• The formal review will require about 1 or 1.5 days which can be followed by discussion of science issues and direction.

• Under “extra slide”, for your convenience, we have provided the master activities slide for the ocean l/ l


cal/val program.

Diver Visibility from NPP MODISOriginal

Proxy NPP VIIRS

Miss Bight

Difference product

Miss Bight Jan 2010

-15 -9 -3 0 3 9 15


1) Issues with the MODIS Bowtie registration !! 2) Water Leaving Radiance – Under evaluation (not correct) 3) Established a data stream of NPP IDPS

VIIRS Ocean Color Proxy DataVIIRS Ocean Color Proxy DataVIIRS Ocean Color Proxy Data VIIRS Ocean Color Proxy Data 1. Ingest MODIS Level 1B data, Atmospheric correction of data and

generate multispectral IOPsgenerate multispectral IOPs2. Expand multispectral IOPs to hyperspectral IOPs3. Generate hyperspectral water reflectance4 E d t h i t ib ti t h t l4. Expand atmospheric contributions to hyperspectral5. Expand atmospheric transmittance to hyperspectral6. Generate hyperspectral Top of Atmosphere reflectance TOA7. Generate TOA radiance at VIIRS bands8. Integrate into MOVICON – NPP format / spatial resample9. Input the HDF5 into AOPS (software)p ( )10. Generate proxy VIIRS ocean color products11. Develop a Gravite NPP data stream !! For testing and evaluation


developing the operational cal/val components for npoess...

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