Page 1 Ocean PEATE Fred Patt. Page 2 Agenda Introduction Design Overview Design Description Systems Engineering Closing Remarks SDS Data Depository and.

Ocean PEATE Fred Patt

Agenda Introduction Design Overview Design Description Systems Engineering Closing Remarks SDS Data Depository and Distribution Element (SD3E) Ocean Product Evaluation and Analysis Tool Element (PEATE) Land Product Evaluation and Analysis Tool Element (PEATE) Project Science Office Element (PSOE) NPP Instrument Calibration Support Element (NICSE) Atmosphere Product Evaluation and Analysis Tool Element (PEATE) Ozone Product Evaluation and Analysis Tool Element (PEATE) Sounder Product Evaluation and Analysis Tool Element (PEATE) Integration and Test System Element (I&TSE)

Ocean PEATE Agenda Overview Interfaces and Design Gap Analysis Schedule Land SD3E PSOE Ocean Atmosphere Ozone Sounder I&TSE NICSE

Element Overview 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 Working Group (PSWG) Process selected data subsets in support of Evaluation and Validation activities

Ocean PEATE Requirements (1 of 2) Acquire and ingest xDRs from the SD3E (Req 3.4.1.1 to 3.4.1.5) –VIIRS RDRs –VIIRS SDRs –OCC EDRs –SST EDRs –VIIRS IPs Acquire and ingest xDRs from ADS/CLASS (Req 3.4.1.6 to 3.4.1.12) Acquire and ingest NPP ancillary data sets (3.4.1.13) Acquire and ingest prelaunch data sets (Req 3.4.1.14) Catalog and manage NPP data sets (Req 3.4.2.1) Support distribution of xDRs to VIIRS Ocean Science Team (VOST) (Req 3.4.5.1 to 3.4.5.5)

Ocean PEATE Requirements (2 of 2) Support evaluation processing of VIIRS data using IDPS operational code: SDRs, OCC EDRs, SST EDRs (Req 3.4.4.1, 3.4.4.5, 3.4.4.8, 3.4.4.9, 3.4.4.14 to 3.4.4.18) Support VIIRS calibration analysis (Req 3.4.4.4, 3.4.4.9, 3.4.4.23 and 3.4.4.24) Support evaluation of VIIRS Ocean EDRs by VOST (Req 3.4.4.10 to 3.4.4.13, 3.4.8.1 & 3.4.8.2) –Perform matchups of VIIRS data with SeaBASS data –Support cross-comparison of VIIRS ocean data with concurrent sensor data sets –Support cross-comparison of VIIRS ocean data with climatological data sets –Support cross-comparion of VIIRS ocean data with alternative algorithms and products –Support internal consistency evaluation of VIIRS ocean data

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 300,000 in situ samples stored

Sensor Cross-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, clear water, coastal), zonally and for specified regions.

Internal Consistency Analysis Global averages from successive years are overplotted to determine interannual repeatability.

Assumptions – Role of I&TSE The Ocean PEATE will rely upon the SDS-provided I&TSE (mini- IDPS) to serve as the testbed for algorithm evaluation and potential improvements and will not attempt to duplicate efforts by running the operational code within the PEATE environment. The staff of the I&TSE will have the ability to modify any operational code as per Ocean PEATE specification and run the code within the operational environment against a set of PEATE-specified test data sets. The I&TSE will receive and install the most current version of the code and executable programs for all operational IDPS software required to produce NASA-evaluated EDRs, starting from RDRs. The I&TSE will maintain all processing code under configuration control. The PEATEs will have access to the configuration controlled code.

Ocean PEATE Software Support The Ocean PEATE will maintain a working knowledge of the VIIRS SDR code and the EDR code for the Ocean Color and SST EDRs. The Ocean PEATE will maintain an understanding of the relevant IP characteristics, but will (initially) assume that the IPs are properly generated. The Ocean PEATE will design changes to the code in the I&TSE for the purpose of algorithm improvement or problem resolution. The Ocean PEATE will develop appropriate test cases and request runs to verify and evaluate the changes. The Ocean PEATE will provide recommended changes to the PSG, including a description of the proposed change, effect on the EDR performance, and the evaluation of the test runs.

Ocean PEATE Product Improvement The Ocean PEATE will evaluate the means (algorithms, ancillary data sources, etc.) to produce the best-quality Ocean Color and SST products from VIIRS data. If approved by the PSG and NASA HQ, the Ocean PEATE will produce and evaluate these products alongside the official EDRs.

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

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

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

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

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

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

Ocean PEATE Interface Diagram PSOESD3EI&TSENICSE VOSTCLASS (ADS) Ancillary Data Providers Ocean Science Community Casa- NOSA xDRs, IPs, Ancillary Data Ancillary Data Management Direction Calibration Updates and Evaluations Interaction xDR Eval. Results, Algorithm Updates Pre-flight Algorithms, Data, Info Software, Data In Situ Data Ocean PEATE Algorithm Updates, Test Requests & Results xDRs, IPs, Ancillary Data (if unavailable from SD3E) Analysis Results, Proposed Algorithm Updates CARS Alternative Algorithm Results

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 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 NASA Ocean CARS –Provides in situ data and results of alternative Ocean algorithms using VIIRS data Ocean Science Community –Relies on Ocean PEATE to provide evaluation products and results

Ocean PEATE Design ● 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 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

Ocean PEATE Design Philosophy Building-Block approach Programs are usually small and do one thing well Programs are less complex and subsequently easy to maintain Promotes reuse Programs loosely coupled so testing and production can be done in the same environment Adopt basic standards ANSI, POSIX, C9x Use existing technology when possible Exit statuses indicate successful or failure conditions

Components and Subsystems

Components and Subsystems (1 of 2) RDBMS is the primary element that manages all system activity Generic core databases support system infrastructure and non-mission-specific functions Mission databases catalogue products and house mission-specific data and procedures High level of reuse possible for similar missions; e.g., MODIS Aqua/Terra, SeaWiFS, and OCTS are all ocean-color missions and have similar product suites and requirements

Components and Subsystems (2 of 2) Relational Database Management System (RDBMS) supports all of the system components (subsystems) Scheduler is the primary controlling module within the system, supporting both time- and event-based tasks Other subsystems are independent modules, yet rely on the Scheduler for some their functions Scheduler Visual Database Cookbook (VDC) Archive Device Manager (ADM) Data acquisition and ingest Level-3 Scheduler File migration and management Data distribution

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) / 5.5 TB SATA RAID 6 (Areca) 2 hot spare drives Database Server Sun V880 8-16 GB RAM 6-12 70 GB SCSI HDD

Ocean PEATE Data Processing System Current Components Processing Cluster 34 processing nodes 1.5 TB Ingest Servers 2 SeaSpace ground stations 5 storage nodes 6 TB Distribution Servers (ftp) 6 storage nodes 7.2 TB Distribution Servers (web) 1 large server – 3 TB 68 storage nodes 120 TB Testing Cluster 13 test nodes 2 TB Network Support Systems Database Server 1 large server 876 GB Backup Servers 1 large server 876 GB+2 TB tape 5 storage nodes 6 TB Extreme Networks Black Diamond 6816 Gigabit Ethernet switch Development Servers 1 processing node 2 storage nodes 2.4 TB User Desktops Cal/Val & QC Systems Mission Operations Systems

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

Ocean PEATE Gap Analysis Acquire, ingest and catalog NPP VIIRS data products: RDRs, SDRs and Ocean EDRs (Data Acquisition & Ingest and Data Cataloging). Process Ocean EDRs (SST and OCC) to Level-3 to support data product and algorithm evaluations (Level-3 Scheduler, VDC and Level-3 binner). Perform VIIRS EDR matchups with Ocean CARS in situ data (extract code) Process SDRs using best current algorithms to produce Ocean Color and SST products (MSl12). Produce VIIRS proxy data using VOST-developed software (Schedule and VDC). Support browse and distribution of data products for team members (Data Distribution).

Basis of Estimate (1 of 2) Acquire, ingest and catalog NPP VIIRS data products: –200 LOC (combined UNIX shell, SQL, C) per new product, for each of the four VIIRS products Process Ocean EDRs (SST and OCC) to Level-3: –300 C LOC to add VIIRS Ocean EDR input to existing binning software (L2bin) –300 SQL LOC per temporal range (10 ranges total) –200 shell LOC for all ranges Perform VIIRS EDR matchups: –100 C LOC + 10 PERL LOC to add VIIRS Ocean EDR input to existing extraction software

Basis of Estimate (2 of 2) Process SDRs using best current algorithms: –1000 C LOC to add VIIRS SDR input to existing Level-2 processing software (MSl12) Produce VIIRS proxy data: –100 shell LOC for each processing stage Support browse and distribution of data products : –3000 C LOC to implement browse image generation –100 PERL LOC to add VIIRS products to existing browse and order web site

Data Storage Estimate Data TypeDaily 1 Year5 Years RDR150 GB53.5 TB267.5 TB SDR (M-band)194 GB7 TB (*)35 TB (*) OCC EDR78 GB2.8 TB (*)14 TB (*) SST EDR17 GB0.6 TB (*)3 TB (*) Inter. Products70 GBN/A Ancillary Data0.1 GB.04 TB.2 TB Total509 GB63.9 TB319.7 TB Assumption: (*) Long-term storage is sized for 100% of RDRs and 10% of SDRs and EDRs; packaged without geolocation.

Ocean PEATE Requirement Allocation (1 of 3) SDS Rqmt Number SDS Rqmt TitleSubsystem 3.4PEATEN/A 3.4.1PEATE Ingest DataN/A 3.4.1.1 3.4.1.2 3.4.1.3 3.4.1.4 3.4.1.5 PEATE xDR Ingest from SD3E PEATE Intermediate Product Ingest from the SD3E PEATE Official Ancillary Data Ingest from the SD3E PEATE Calibration Product Ingest from the SD3E PEATE Request Listings Data Acquisition and Ingest 3.4.1.6 3.4.1.7 3.4.1.8 3.4.1.9 3.4.1.10 3.4.1.11 3.4.1.12 PEATE Product subscription to ADS PEATE Ad-hoc requests from ADS PEATE xDR Ingest from ADS PEATE Official Ancillary Data from ADS PEATE Calibration Product Ingest from ADS PEATE IP Product Ingest from ADS PEATE ADS query and Request Status Ingest Data Acquisition and Ingest 3.4.1.13 3.4.1.14 3.4.1.15 PEATE Alternate Ancillary Data Ingest PEATE Pre-launch Data Ingest PEATE Engineering Service Ingest Data Acquisition and Ingest 3.4.2.1Store/Catalog DataFile Manage and Migration Archive Device Manager 3.4.3.1Manage Software ConfigurationSubversion

Ocean PEATE Requirement Allocation (2 of 3) SDS Rqmt Number SDS Rqmt TitleSubsystem 3.4.4Process Science DataN/A 3.4.4.1Operational Algorithms Ingest from SD3EI&TSE 3.4.4.2 3.4.4.3 PEATEs Management Direction Ingest PEATEs Instrument Service Report Ingest PEATE Personnel 3.4.4.4PEATE NICSE Cal LUT IngestSubversion 3.4.4.5PEATE I&TSE Algorithm StatusPEATE Personnel 3.4.4.6Pre-launch Assessment of xDRs and IPsData Acquisition & Ingest Data Distribution 3.4.4.7xDR Implementation AssessmentSubversion 3.4.4.8EDR AlgorithmsI&TSE 3.4.4.9SDR and EDR Testing EnvironmentI&TSE 3.4.4.10Comparison Tools DevelopmentIDL 3.4.4.11 3.4.4.12 Comparing Against Other Satellite and Ground Truth Data Comparing Against Other Products Level-3 Scheduler Data Distribution 3.4.4.13Analyzing Algorithm Improvement/EnhancementData Acquisition & Ingest Data Distribution 3.4.4.14 3.4.4.15 Generating SDRs with alternate LUTs Generating EDRs with alternate LUTs I&TSE

Ocean PEATE Requirement Allocation (3 of 3) SDS Rqmt Number SDS Rqmt TitleSubsystem 3.4.4.16Generate Test DataVDC Data Distribution 3.4.4.17 3.4.4.18 3.4.4.19 Developing SDR (L1B) Algorithm Improvement/Enhancement Developing EDR (L2 and L3) Algorithm Improvement/Enhancement Testing Algorithm Improvement/Enhancement I&TSE Data Acquisition & Ingest 3.4.4.20DocumentationPEATE Personnel 3.4.4.21PEATEs Status ReportPEATE Personnel 3.4.4.22PEATE Instrument Service RequestPEATE Personnel 3.4.4.23PEATE Cal Quality Control ResponseI&TSE Data Acquisition & Ingest 3.4.4.24PEATE Result of Cal EvaluationPEATE Personnel 3.4.5PEATE Export DataN/A 3.4.5.1 3.4.5.2 PEATE Science Data Export PEATE Data Compression Data Distribution 3.4.8Ocean PEATE SpecificN/A 3.4.8.1 3.4.8.2 Ocean Product Assessment Ocean EDR Evaluation Level-3 Scheduler Data Distribution

Schedule Initial Capability (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 Data storage capacity for TBD months Initial test products generated for review by VIIRS Ocean Science Team Full Mission Capability (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 based on simulated data and posted for access by VIIRS Ocean Science Team Data storage for TBD years

Ocean PEATE Requirement Mapping 100% of requirements (57) allocated to design

Ocean PEATE Requirement Implementation 98% of requirements (56) implemented by full mission capability; add additional storage capacity before launch

Conclusion Ocean PEATE will meet all requirements Next Up: Land PEATE – Ed Masuoka NPP_SDS_Land.ppt

Backup Slides

RDBMS Vendor Client LibraryVendor Library Module Database Services Layer C Interface FunctionsPerl DBI Module Perl Scripts C Programs Goal: Isolate RDBMS from system software To use a different RDBMS vendor, swap in a new Database Services Layer Components and Subsystems: RDBMS RDBMS

Scheduler C program with supporting database procedures Runs in a daemon-like state Primary system element responsible for coordinating most of the system activity Monitors task records in a to-do list database table Runs tasks according to defined task attributes Standard job-shell interface allows new programs to be quickly adapted for Scheduler control Subsystems: Scheduler

VDC Highly scalable, distributed infrastructure for concurrent processing of serial streams (e.g., L0  L1A  L1B  L2) Suite of C programs with supporting database procedures Uses recipes to encapsulate data-specific processing schemes, parameters, and pre-processing rules Virtual Processing Units (VPUs) serve as distinct distributed processing resources VPUs dynamically allocated based on available time and current OS load Comprehensive, user-defined processing priorities Subsystems: VDC

VDC: Ancillary Data Stager Runs in a daemon-like state Monitors entries in the processing queue and runs the ancillary-select procedure for each entry’s recipe Updates queue-entry status when ancillary data are available Governed by currently configured processing priorities VDC: Ancillary Data Stager

VDC: MakeVDC Selects processing-queue entries that have met pre-processing requirements Generate VDC job files according to configured priorities Runs as a Scheduler task, so it can easily be configured to run as often as needed to keep the VDC queue full VDC: MakeVDC

VDC: Engine Runs in a daemon-like state on each processing server Each instance of the VDC Engine actively competes for jobs that it is allowed to run, based on priority and length of time in the queue Monitors and manages processing resources Initializes processing streams Invokes recipe steps and monitors step-execution time Handles operator-requested stream actions VDC: Engine

Archive Device Manager User defines logical pools of storage devices Processes request a device in a specific pool ADM returns information for a storage device in the requested pool If auto-cycling is enabled, the ADM time-stamps the record for the selected device, so a different device within the pool will be selected for the next request Disk-monitor process polls all devices periodically to record usage statistics and invoke threshold handlers Subsystems: Archive Device Manager (ADM)

Data Acquisition and Ingest (1 of 2) Data types and sources are described in the database Active, passive, and periodic notification methods Active method scans remote systems for new files and populates the ingest queue Passive method waits for arrival of e-mail messages describing type and location of new file and populates the ingest queue Periodic method schedules transfers of files at user-specified intervals Subsystems: Data Acquisition and Ingest

Data Acquisition and Ingest (2 of 2) File transfers handled by ingest daemons and Scheduler tasks FTP, RCP, and SCP transfer protocols supported Generic script handles the file transfer and then hands off to data- specific post-ingest scripts Subsystems: Data Acquisition and Ingest

Level-3 Scheduler Responsible for scheduling processing for level-3 composite products Runs as a Scheduler task Configuration is database driven Mission-specific stored procedures are invoked to identify input files for a composite product Subsystems: Level-3 Scheduler

File Migration and Management Responsible for compressing files and migrating them to their various destinations Event- or time-based actions Queries associated with each action are run periodically by a Scheduler task to select files that are eligible for some type of migratory action and populate a migration queue Command-line queuing for file removal and delayed copies Migration daemons query the migration queue, perform registered actions on the files, and update catalog tables Subsystems: File Migration and Management

Data Distribution Interactive, web-based Data Ordering System, currently supporting SeaWiFS and MODIS Aqua Data Subscription System, currently supporting MODIS Aqua, allows users to define region and products of interest Order and Subscription Manager Daemons monitor the order and subscription queues and stage files on FTP servers (stage rate ~12 GB/hr) Near-real-time data extraction and image support Web-CGI applications that allow users to view and update their orders and subscriptions Subsystems: Data Distribution

New Data/Source Acquisition and Ingest Insert DB records for new data-source servers and data types Compose data-specific post-ingest scripts Configure ingest daemons if that method is going to be used for any of the new data types Define archive-device pools for product storage

New Data Product Cataloging Insert record into the core tables (catalog DB) that describe the mission and products Create mission specific database and objects, reusing objects from existing mission databases where applicable Compose a program to provide geographical L1 meta-data information including granule start and stop times, day- night flag, and geographic coordinates, e.g., MSl1info Compose functions for DB-metaload program, so meta- data files can be read and product tables can be populated Configure file migration and management actions for new mission data

New Data Processing Streams Define a recipe for each distinct serial processing stream Insert records for each recipe and each recipe step Compose a job template for each recipe Compose a ancillary-selection procedure for each recipe that requires ancillary data Compose scripts for each science program associated with the new mission's data Insert record in recipe-constraints table for each processing host allowed to run a recipe Compose AP-load procedure for each base data type that can be processed with a recipe Update the reproc program to support each base data type that has an AP-load procedure Configure L3-Scheduler for desired composite processing

VIIRS Ocean Level-3 Processing Develop data input routines to support processing of VIIRS Ocean EDRs using existing multi- mission Level-3 binning software

New Data Product Distribution Update Subscription CGI to support new mission data Compose match-subscription procedure If data extraction and mapping is to be supported: Compose extraction and mapping programs Compose match-XM-requests procedure Modify XM CGI to support new mission products Compose browser capabilities for new mission products Provide FTP access to new mission products

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