Fred Patt NPP SDS Peer MOR Building 8 Auditorium August 27, 2008

Fred Patt NPP SDS Peer MOR Building 8 Auditorium August 27, 2008
Ocean PEATE Fred Patt NPP SDS Peer MOR Building 8 Auditorium August 27, 2008

Ocean PEATE Agenda Ocean PEATE Overview Implementation Status
Documentation Support Staff EDR Assessment Issues/Concerns Land SD3E PSOE Ocean Atmosphere Ozone Sounder I&TSE NICSE

Ocean PEATE Overview The NPP Ocean PEATE will be implemented within the framework and facilities of the current NASA Ocean Data Processing System (ODPS) This system has been successfully supporting operational, satellite-based remote-sensing missions since 1996, and its capabilities continue to evolve and expand to meet the demands and challenges of future missions.

Ocean PEATE Functions Acquire VIIRS RDRs, SDRs, and Ocean EDRs from the SD3E and ADS/CLASS Assess the quality of the NPP Ocean EDRs for accomplishing NASA’s climate research requirements Provide suggested algorithm improvements to the IDPS via the Project Science Office Element (PSOE) Process selected data subsets in support of Evaluation and Validation activities

Ocean PEATE Interface Diagram
SD3E PSOE Analysis Results, Proposed Algorithm Updates xDRs, IPs, Ancillary Data CLASS (ADS) Casa- NOSA Management Direction xDRs, IPs, Ancillary Data (if unavailable from SD3E) Ocean PEATE Pre-flight Algorithms, Data, Info Ancillary Data Providers VOST Software, Data Alternate Ancillary Data xDR Eval. Results, Algorithm Updates NICSE Calibration Updates and Evaluations Ocean Science Community Interaction In Situ Data In Situ Data I&TSE Algorithm Updates, Test Requests & Results SeaBASS Matchups RSMAS

Ocean PEATE External Interfaces (1 of 2)
• SDS Science Data Distribution and Depository Element (SD3E) Provides NRT access to raw data Primary source of RDRs Provides selected SDRs and EDRs SDS Integration and Test System Element (I&TSE) Build and test updates to operational code in mini-IDPS Run tests on selected data per request of PEATE Archive Distribution Segment (ADS) Primary source for archived data xDRs, IPs, Ancillary Data, Operational Algorithm/Source Code and Calibration Products Ancillary Data Providers (ADP) Provides alternate ancillary data sets (e.g., ozone, meteorological data sets) CasaNOSA Serves as the NPP pre-flight repository of Government held data for distribution to Government user teams Place to acquire pre-launch NPP algorithms and supported data files

Ocean PEATE External Interfaces (2 of 2)
• NASA VIIRS Ocean Science Team (VOST) Coordinate activities with PEATEs and PSOE on xDR and recommended algorithm improvements. Supports Independent Calibration Validation Activities NPP Instrument Calibration Support Element (NICSE) Provides alternative calibration LUTs and recommended improvements to calibration algorithms PEATE provides results of LUT and algorithm tests Project Science Office Element (PSOE) Provides management direction Accepts algorithm update recommendations SeaBASS/ODPS Provides Ocean Color in situ data RSMAS/U. Miami Provides SST in situ locations PEATE provides SST EDR matchups Ocean Science Community Relies on Ocean PEATE to provide evaluation products and results

Roles & Responsibilities of Science Team / PEATE
Acquire, catalog, and distribute xDRs Perform automated matchups with SeaBASS data Subscribe, browse, download xDRs Evaluate Ocean EDRs using matchups Generate Level-3 products from Ocean EDRs Compare VIIRS Ocean Level-3 files with heritage sensors Acquire test LUTS from NICSE Evaluate VIIRS calibration using test LUTS Deliver/install recommended software updates at I&TSE Generate recommended algorithm changes Upload RDRs to I&TSE, input test run requests and download SDRs and/or EDRs Develop algorithm test cases and scenarios and evaluates test products Interface with SDS, I&TSE, ADS, … Provide feedback to Project Scientist

ODPS Design Overview Fully automated, distributed data system for acquiring, processing, archiving, and distributing scientific data Highly scalable Easily adaptable to support multiple concurrent missions Graphical user interfaces for controlling and monitoring system functions and activity Non-platform specific

ODPS COTS and Freeware Linux OS (CentOS 4.x) Solaris OS Sybase RDBMS
Subversion (source code management) Pro-active DBA Interactive Data Language (IDL) Generic Mapping Tool (GMT) Netpbm (graphic image toolkit) HDF5 Library Languages: C, PERL, SQL

ODPS Architecture: Hardware
Processing Servers Intel-based dual Xeon / AMD-based dual Opteron 8 GB RAM Five 72 GB SCSI drives Storage Servers Intel-based P4 / AMD-based single Opteron 1 GB / 2 GB RAM 1.5 TB IDE RAID 5 (3ware) / 9.6 TB SATA RAID 6 (Areca) 2 hot spare drives per RAID5 Database Server Sun V880 8-16 GB RAM GB SCSI HDD

ODPS Current Components
Distribution Servers (FTP) 1 processing node 6 storage nodes 48 TB Distribution Servers (web) 1 large server 8 processing nodes 68 storage nodes 599 TB Ingest Servers 2 SeaSpace ground stations 2 processing nodes 5.6 TB Cal/Val & QC Systems Processing Cluster 45 processing nodes 12.4 TB Extreme Networks Black Diamond 6816 Gigabit Ethernet switch Mission Operations Systems Database Server 2 servers 18 TB Development Servers 1 processing node 2 storage nodes 2.4 TB Backup Servers 2 storage nodes 18 TB Critical data mirrored User Desktops Network Support Systems

Building 28 Room W220 Computing Facility

Reliability and Redundancy
Critical components (database server, network systems) have full maintenance contracts to ensure rapid response to problems Multiple-server components (ingest, processing, storage, distribution) have substantial redundancy to maintain full capability; spares maintained for rapid replacement. Testing nodes are separated from mainstream production components.

Technology Refresh Hardware technology advances (CPU, storage) are continuously monitored to select new components for evaluation. Typical upgrade threshold is a doubling in capacity (~18 months). Two generations of hardware are generally in use. Candidate components are procured, installed in testing cluster and rigorously evaluated in a production-like environment. Following successful evaluation, multiple copies are procured, installed, tested and swapped in for older components. ODPS design allows new components to be rapidly added to resource tables without interrupting system operations. Performance of new components is closely evaluated following installation in operations environment. Critical components are run in parallel with existing system to ensure reliability under production loading.

Existing Software Reuse
ODPS Components Database VDC/Scheduler Data Acquisition and Ingest Level-3 Scheduler File migration and management Archive Device Manager Data distribution Level-2 multi-mission software (vicarious calibration) Level-3 multi-mission software (long-term trends and comparisons Level-2 to Level-3 comparison software (residual sensor errors) SeaBASS (in situ data management) Matchup/extraction software

Ocean PEATE New Capabilities (1 of 2)
Acquire, ingest and catalog NPP VIIRS data products: RDRs, SDRs and Ocean EDRs (Data Acquisition & Ingest, Device Manager and File Migration and Management). Status: Initial interface test run with SD3E. Process selected Ocean EDRs (SST and OCC) to Level-3 to support data product and algorithm evaluations (Level-3 Scheduler, VDC and Level-3 binner). Status: Prototype Level-3 processing has been demonstrated using sample IDPS Build 1.4 OCC and SST EDRs. Perform VIIRS OCC EDR matchups with SeaBASS Ocean Color in situ data (extract code). Status: Pending re-test of acquisition and ingest capabilities with latest IDPS build.

Ocean PEATE New Capabilities (2 of 2)
Incorporate VIIRS SDR processing for vicarious calibration analysis. Status: Pending re-test of acquisition and ingest capabilities with latest IDPS build. Produce VIIRS proxy data using VOST-developed software (VDC/Scheduler). Status: Under development Acquire SST in situ data from RSMAS and perform matchups with SST EDRs Status: SST acquisition in place for MODIS; matchups pending re-test of acquisition and ingest capabilities with latest IDPS build. Support browse and distribution of data products for team members (Data Distribution).

Ocean PEATE Data Storage Estimate
Data Type Daily 1 Year 5 Years RDR 150 GB 53.5 TB 268 TB SDR (M-band) 242 GB(2) 8.6 TB(1,2) 43 TB(1,2) OCC EDR 84 GB 3 TB(1) 15 TB(1) SST EDR 19 GB 0.7 TB(1) 3.4 TB(1) Inter. Products ~70 GB N/A Ancillary Data 0.1 GB .04 TB .2 TB Total 565 GB 66 TB 330 TB Assumptions: Long-term storage is sized for 100% of RDRs and 10% of SDRs and EDRs SDR volume includes geolocation

New Hardware for the Ocean PEATE
7 Storage 9.6 TB – first-year VIIRS data storage Additional servers acquired post-launch to handle years 2 – 5 No new processing or network capacity required; technology refresh cycle to be continued within the ODPS as described.

Ocean PEATE Build Schedule
Build 1 (L-18 months) All interfaces fully implemented and tested Verify initial versions of operational code ported and running in I&TSE L-3 product code developed and tested Prelaunch VIIRS test data storage and SDS interface testing support with existing ODPS storage capacity Initial test products generated for review by VIIRS Ocean Science Team Build 2 (L-12 months) Routine exercise of interfaces to acquire proxy, surrogate (Aqua?) and/or simulated data Verify pre-launch version of operational code running in I&TSE Browse and distribution capability developed and tested Test products routinely acquired as available and posted for access by VIIRS Ocean Science Team Data storage for one year

Ocean PEATE Testing Status (1 of 6)
Req. # Requirement Support Verification Status PEATEs xDR Ingest from the SD3E New Data Acquisition and Ingest Interface Test X PEATEs IP Ingest from the SD3E PEATEs Official Ancillary Data Ingest from the SD3E PEATEs Calibration Product Ingest from the SD3E PEATEs Request Listings PEATEs Product Subscriptions from the ADS PEATE Personnel PEATEs Ad-hoc Requests to the ADS PEATEs xDR Ingest from the ADS PEATEs Official Ancillary Data Ingest from ADS PEATEs Calibration Product Ingest from ADS

Req. # Requirement Support Verification Status PEATEs IP Ingest from the ADS New Data Acquisition and Ingest Interface Test PEATEs ADS Query and Request Status Ingest PEATE Personnel PEATEs Alternate Ancillary Data Ingest Existing ODPS Capability Inspection X PEATEs Pre-launch Data Ingest PEATEs Engineering Service Ingest Store/Catalog Data New Data Management I&TSE Functional Test Manage Software Configuration Existing Subversion Repository Operational Algorithms Ingest from the SD3E I&TSE PEATEs Management Direction Ingest PEATEs Instrument Service Report Ingest

Req. # Requirement Support Verification Status PEATEs NICSE Cal LUT Ingest I&TSE Interface Test PEATEs I&TSE Algorithm Status PEATE Personnel Pre-Launch Assessment New PEATE Tool Development Functional Test xDR Implementation Assessment EDR Algorithms SDR and EDR Testing Environment Comparison Tools Development Existing ODPS Capability Inspection X Comparing against Other Data New Level-3 Processing Comparing against Other Products Analyzing Algorithm Improvement/ Enhancement I&TSE/Ingest Interface/ Functional Test

Req. # Requirement Support Verification Status Generating SDR I&TSE Functional Test Generating EDR Test Data VOST Simulation Software / ODPS New Data Processing Design Developing SDR Algorithm Improvement/Enhancement Developing EDR Algorithm Improvements/Enhancements Testing Algorithm I&TSE/Acquisition and Ingest Functional/ Interface Test Documentation ODPS Web Site Inspection X PEATEs Management Report PEATE Personnel Interface Test PEATEs Instrument Service Request PEATEs Quality Control Response

Req. # Requirement Support Verification Status PEATEs xDR Ingest from the SD3E New Data Acquisition and Ingest Interface Test PEATEs Science Data Export New Product Distribution PEATEs Data Compression Existing ODPS Capability Inspection X Ocean Product Assessment New and Existing ODPS Capabilities Functional Test Ocean EDR Evaluation 3.7.1 Mission Support All New Capabilities Aggregate of All Testing 3.7.3 Availability Existing ODPS Capabilty 3.7.4 System Failure 3.7.5 Operational Duty Cycle 3.7.6 Design Life New Data Product Storage

Req. # Requirement Support Verification Status 3.7.7 Maintainability Existing ODPS Capability Inspection X Unclassified Security Restriction Existing ODPS Facility Complying with NASA Security of Information. Technology1 Code 600 Security Plan Operators Access and Privilege SDS Data Verification New Data Acquisition and Ingest Interface Test 3.7.9 Data Integrity

Ocean PEATE Requirements Implementation
98% of requirements (55) implemented by Build 2; add additional storage capacity before launch

Sustaining Operations and Maintenance
ODPS runs 24x7 with on-site support 8x5. Support is shared across all projects. Staffing needs are covered by existing OBPG support personnel.

Documentation Ocean PEATE Level 4 Requirements and Operations Concept
ICDs SD3D to PEATEs MOU with RSMAS ODPS Project Data Management Plan (review) ODPS Software Management Plan Network IT Security Plan

Ocean PEATE Team Ocean PEATE Management Validation Support
Gene Feldman Fred Patt Validation Support Sean Bailey Jeremy Werdell Software Support Bryan Franz Joel Gales Data System John Wilding Dan Knowles Muriel Taylor Systems Management Paul Smith Joe McSorley Chris Moellers

Ocean PEATE Staffing Levels
All staffing needs will be met with existing OBPG staff Increases will be accommodated as other projects (e.g., MODIS Aqua) wind down.

VIIRS Ocean Products for Evaluation
All VIIRS Ocean products to be evaluated will be acquired from the IDPS, ADS/CLASS, or the I&TSE. Testing and evaluation of algorithm changes will require regenerating product time series in the I&TSE, to be downloaded to the Ocean PEATE. The Ocean PEATE will design changes to the code in the I&TSE for the purpose of algorithm improvement or problem resolution, develop appropriate test cases and request runs to verify and evaluate the changes.

IDPS VIIRS Ocean EDR Data Flow
Processing Module VIIRS Product VIIRS RDR Dynamic Ancillary Data Previous VIIRS Gridded Products Static Ancillary Data Previous VIIRS Gridded Products NAAPS TOD MODIS Land/Water Mask NCEP Geopotential Height Ancillary Files Ancillary Files DEM NDT

Geolocation VIIRS SDR Processing Module VIIRS_SDR_01 RDR Decompression VIIRS_GEO_01 Geolocation VIIRS_SDR.MOD 750m SDR VIIRS_SDR.IM 375m SDR VIIRS SDR VIIRS Product VIIRS RDR Dynamic Ancillary Data Previous VIIRS Gridded Products Static Ancillary Data Previous VIIRS Gridded Products NAAPS TOD MODIS Land/Water Mask NCEP Geopotential Height Ancillary Files Ancillary Files DEM NDT

Geolocation VIIRS SDR Processing Module VIIRS_SDR_01 RDR Decompression VIIRS_GEO_01 Geolocation VIIRS_SDR.MOD 750m SDR VIIRS_SDR.IM 375m SDR VIIRS SDR VIIRS Product VIIRS RDR Dynamic Ancillary Data Previous VIIRS Gridded Products Static Ancillary Data Previous VIIRS Gridded Products VIIRS_GD_08 750m Granulation NAAPS TOD MODIS Land/Water Mask VIIRS_GD_25 NAAPS Granulation NCEP Geopotential Height VIIRS_GD_27 L/W Mask Granulation Ancillary Files Ancillary Files VIIRS_GD_11 Ancillary Profile VIIRS_GD_09 GFS Granulation ALL_GD_01 Time Interpolation VIIRS_GD_28 Surface Pressure Adjustment DEM VIIRS_GD_12 Bathymetry Granulation NDT VIIRS_GD_13 Temperature Granulation

Geolocation VIIRS SDR Processing Module VIIRS_SDR_01 RDR Decompression VIIRS_GEO_01 Geolocation VIIRS_SDR.MOD 750m SDR VIIRS_SDR.IM 375m SDR VIIRS SDR VIIRS Product VIIRS RDR Dynamic Ancillary Data Previous VIIRS Gridded Products Static Ancillary Data Previous VIIRS Gridded Products VIIRS_GD_08 750m Granulation NAAPS TOD MODIS Land/Water Mask VIIRS_GD_25 NAAPS Granulation VIIRS_LN_06 Active Fires VIIRS_CM_01 Cloud Mask NCEP Geopotential Height VIIRS_GD_27 L/W Mask Granulation Ancillary Files Ancillary Files VIIRS_GD_11 Ancillary Profile VIIRS_GD_09 GFS Granulation ALL_GD_01 Time Interpolation VIIRS_GD_28 Surface Pressure Adjustment DEM VIIRS_GD_12 Bathymetry Granulation NDT VIIRS_GD_13 Temperature Granulation

Geolocation VIIRS SDR Processing Module VIIRS_SDR_01 RDR Decompression VIIRS_GEO_01 Geolocation VIIRS_SDR.MOD 750m SDR VIIRS_SDR.IM 375m SDR VIIRS SDR VIIRS Product VIIRS_SN_02 Ice Quality VIIRS RDR Dynamic Ancillary Data Previous VIIRS Gridded Products Static Ancillary Data VIIRS_CL_01 Cloud Optical Properties Previous VIIRS Gridded Products VIIRS_GD_08 750m Granulation VIIRS_ST_02 Surface Temp NAAPS TOD VIIRS_SN_03 Ice Concentration MODIS Land/Water Mask VIIRS_GD_25 NAAPS Granulation VIIRS_LN_06 Active Fires VIIRS_CM_01 Cloud Mask NCEP Geopotential Height VIIRS_GD_27 L/W Mask Granulation Ancillary Files Ancillary Files VIIRS_ST_01 Sea Surface Temperature SST EDR VIIRS_GD_11 Ancillary Profile VIIRS_GD_09 GFS Granulation VIIRS_AR_01 Aerosol Type ALL_GD_01 Time Interpolation VIIRS_GD_28 Surface Pressure Adjustment VIIRS_OC_01 Ocean Color / Chlorophyll DEM VIIRS_GD_12 Bathymetry Granulation OCC EDR NDT VIIRS_GD_13 Temperature Granulation

ODPS MODIS Ocean Product Data Flow
Processing Module MOD_PR01 Level-0 to 1A MODIS Product Dynamic Ancillary Data MODIS Level-0 MODIS Level-1A Static Ancillary Data MODIS 1 km Level-1B MOD_PR03 Geolocation MOD_PR02 Level-1A to 1B MODIS SST Platform ATTEPH Data MODIS Geolocation MSl12 Level-1B to 2 MODIS Ocean Color MET Ancillary Data Ozone Ancillary Files Land/Water Mask

Ocean Team Algorithm Change Process
ST member develops evaluation strategy Products improved? ST analyzes products and test results PEATE staff request ITSE granule-level test Y PEATE staff upload test input data and request evaluation test run ST member identifies algorithm change ITSE performs test run ST provides algorithm change recommendation to PSOE ST member and PEATE staff develop code change PEATE retrieves test products ITSE performs test run PEATE and ITSE staff install and build code change ST member verifies test products PEATE retrieves test products N Y Code correct? Expected results? PEATE and ST member check code change N Y ST member evaluates test products

Evaluation vs. Product Level
Granule-based Evaluations Level-1 (SDR) Evaluations Onboard calibration analyses Vicarious calibration Level-2 (EDR) Evaluations Matchup analyses Flag analyses Time Series Evaluations Residual detector (striping) and scan (RVS) dependence Level-3 Product Evaluations Sensor and algorithm comparisons Temporal anomaly evaluations

Vicarious Calibration
Vicarious calibration using surface measurements (e.g., MOBY) gives constant gain correction to TOA radiances over the mission Analyses of calibration results provide insight into temporal and geometric sources of variation.

Vicarious Calibration
Strengths: Fine-tuning of sensor absolute radiometric response; allows for correction of prelaunch radiometric calibration Limitations: “System-level” calibration that incorporates atmospheric correction into measurements, convolving algorithm and sensor effects. One-time gain correction per band for the entire sensor lifetime; assumes sensor stability has already been established through other means; not a substitute for lack of instrument characterization. Observation limitations and rigorous data quality control severely restrict the number of useful measurements (typically 1 or 2 per month per site). Specific to ocean algorithms, not applicable to other surface types. Availability of MOBY or equivalent is unknown for VIIRS.

Matchup Analysis Ocean data granules in ODPS catalog are automatically matched with in situ data SeaWiFS Bio-optical Archive and Storage System (SeaBASS) stores and manages in situ holdings from field programs and supported investigators. Ocean staff acquire, QC and analyze new data samples. Over 60,000 in situ profiles stored covering SeaWiFS/ MODIS time frame.

Matchup Process Flow Chart

Matchup Analysis Strengths:
The only truly independent validation of the science data products using ground truth measurements. Limitations: Quality of in situ data is highly variable and difficult to assess. Coverage for OC in situ data is limited, both geographically and temporally. Assumes that highly localized (~meters) measurements are representative of pixel (km) area. In situ measurements require discipline expertise to analyze and compare with satellite values Generally useful only for assessing static biases in final products. Availability of in situ data in VIIRS timeframe is unknown.

Flag Analyses Determine loss of coverage resulting from each flag
Verify effectiveness of flags at removing invalid or questionable data 50-meter depth Sensor zenith

Residual Detector Dependence
Level-3 multi-day products (same or different sensor) are resampled to generate values at Level-2 resolution. Comparisons are performed by detector and mirror side to evaluate residual detector response errors

Residual Scan Dependence
Level-3 multi-day products (same or different sensor) are resampled to generate values at Level-2 resolution. Comparisons are performed by pixel number and mirror side to evaluate residual response-vs-scan (RVS) errors

Residual Detector/Scan Dependence
Strengths: Provides evaluation of response vs. detector, scan angle and mirror side independent of onboard calibration. Can also be used to evaluate errors in other sensor characteristics Limitations: Works well mainly in temporally stable areas. Noise levels may be large compared with residual errors.

Level-3 Product Generation
Sensor, algorithm and interannual comparisons require Level-3 binned (equal-area) products. The Ocean PEATE is implementing software to process VIIRS EDRs to Level 3 binned products in current ODPS (SeaWiFS-like) format. Use current binning code with new input functions to read EDRs This will automatically provide the additional capabilities to produce multi-temporal composites, standard mapped image (SMI) products and Level-3 browse files. Time-series analyses of recommended algorithm changes will require reprocessing EDRs in the I&TSE.

Sensor and Algorithm Comparisons
Level-3 parameters (e.g., nLw) compared for common spectral bands Common bins extracted and compared over the period of overlap between the sensors Comparisons are performed globally (deep water, oligotrophic, mesotrophic, eutrophic), zonally and for specified regions.

Zonal Cross-Comparisons

Chlorophyll Image Comparisons
SeaWiFS Deep-Water Chlorophyll MODIS Deep-Water Chlorophyll SeaWiFS Deep-Water Chlorophyll MODIS Deep-Water Chlorophyll

Level-3 Comparisons Strengths:
Sensitive to small differences in products from different sensors or algorithms. Excellent coverage available, both temporal and geographic. Can assess continuity among data sets (Climate Data Records) Limitations: No obvious truth in comparisons. Sensitive to band-pass differences. May be affected by time-of-observation differences. Availability of other sensors for comparison (SeaWiFS or MODIS) is unknown; climatology is available as an alternative

Temporal Anomaly Evaluations
Level-3 global averages for the entire mission are fit to a periodic function to remove natural annual variability. The differences between the global averages and the annual cycle are then plotted over the mission. The results show both geophysical variations and any unexpected changes due to uncharacterized instrument effects or algorithm artifacts.

Temporal Anomaly Example

Temporal Anomaly Evaluations
Strengths: Very sensitive to small changes in sensor performance Limitations: Difficult to distinguish sensor from real geophysical changes. Can be affected by sampling variations.

Issues/Challenges/Concerns
Issue/Challenge/Concern Action/Mitigation Limits of available test data Ability to adequately test data flows across interfaces Verification of EDR evaluation processes VIIRS Ocean Science Team will develop an independent simulation of the VIIRS ocean bands Extent of prelaunch end-to-end (observatory & ground system) data flows Develop/maintain system readiness for testing opportunities ADS to PEATE interface and test planning Communication initiated, TIM planned Complexity of IDPS internal processes and data flows impacts ability to diagnose software and algorithm problems in the I&TSE Exercise in the I&TSE as possible Version synchronization of operational products with IDPS software in the I&TSE Coordinate software updates with I&TSE support staff SD3E to Ocean PEATE data transfers Performance improvements being worked on both sides IDPS file naming convention Attempt to get patch for I&TSE; develop workarounds for testing with SD3E

Fred Patt NPP SDS Peer MOR Building 8 Auditorium August 27, 2008

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Fred Patt NPP SDS Peer MOR Building 8 Auditorium August 27, 2008

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