1 / 14

Science Data System – Data Requirements and Conceptual Design DESDynI - Radar

Science Data System – Data Requirements and Conceptual Design DESDynI - Radar. Earth Science Data Systems Working Group. Wilmington, DE, Oct. 20-22, 2009. David Cuddy DESDynI SDS Study Lead JPL, California Institute of Technology. Overview of Presentation. Mission Overview

xenon
Download Presentation

Science Data System – Data Requirements and Conceptual Design DESDynI - Radar

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Science Data System – Data Requirements and Conceptual DesignDESDynI - Radar Earth Science Data Systems Working Group Wilmington, DE, Oct. 20-22, 2009 David Cuddy DESDynI SDS Study Lead JPL, California Institute of Technology

  2. Overview of Presentation Mission Overview End-to-End Data Flow Diagram Key Driving SDS Design Requirements Science Data Product Suite – Radar SDS Architecture & Functional Diagram Algorithm-to-Production Software Process Data Storage and Archive Strategy Data Distribution Challenge to DAACs

  3. Science • Recommended by the NRC Decadal Survey for near-term launch to address important scientific questions of high societal impact: • How do we manage the changing landscape caused by the massive release of energy of earthquakes and volcanoes? • How are Earth’s carbon cycle and ecosystems changing, and what are the consequences? • What drives the changes in ice masses and how does it relate to the climate? • Planned by NASA as one of the following 4 Decadal Survey TIER 1 Missions • SMAP • ICESat-II • DESDynI • CLARREO • Extreme events, including earthquakes and volcanic eruptions • Are major fault systems nearing release of stress via strong earthquakes • Eruptive state of volcanoes? • Shifts in ecosystem structure and function in response to climate change • How will coastal and ocean ecosystems respond to changes in physical forcing, particularly those subject to intense human harvesting? • How will the boreal forest shift as temperature and precipitation change at high latitudes? • What will be the impacts on animal migration patterns and invasive species? • Ice sheets and sea level • Will there be catastrophic collapse of the major ice sheets, including Greenland and West Antarctic and, if so, how rapidly will this occur? • What will be the time patterns of sea level rise as a result? Deformation Biomass Ice Dynamics

  4. Science (cont’d) Observation Targets (Colored) • DESDynI Mission Sciences • Deformation of Solid Earth for improving forecasts of seismic and volcanic events • Ecosystem Structure for improving carbon budget and carbon cycle modeling • Dynamics of Ice for improving understanding of changes in ice masses and climate • Instrumentation • Multi-beam Profiling Lidar • Fully-polarimetric Multi-mode L-band Radar • GPS receivers for precision orbit determination and reconstructions Repeat Pass InSAR Polarimetric SAR Multibeam LIDAR Pass 1: Before Motion Pass 2: After Motion Ground or ice motion Vegetation structure

  5. DESDynI Mission/Study Highlights • SCOPE • Baseline: One Radar S/C and one Lidar S/C • Radar S/C (JPL): 761km. 8-day, sun-synchronous, frozen with precise repeat control • Lidar S/C (GSFC): 400km, 91-day, sun-synchronous, frozen • Launched within one year with seasonal co-observations • Tandem-L Option (JPL & DLR): Add one more Radar S/C to Baseline for formation flying • Collaboration with DLR • Classification (tentative) • Category I, P/L Risk B–/C+, L/V Risk 2-3 • TIMELINE • FY10 (Pre-Phase A) • Mission Concept Review (Feb ‘10) • KDP-A (May ’10) • (Earliest) Life Cycle [NASA budget + 2 years] • Phase A/B (20M): Oct ‘10 – May ’12 • Phase C (31M): Jun ‘12 – Dec ’14 • Phase D (15M, incl. 3M OOCO): Jan ‘15 – Mar ’16 • Phase E Norm. (36M): Apr ‘16 – Mar ’19 • Phase E Ext. (24M): Apr ‘19 – Mar ’21 • Phase F (6M): Apr ‘21 – Sep ’21 • Tandem-L Option may add more time Lidar S/C w/ Fixed 1.0m Lidar Radar S/C w/ 15m (D) 1 F/D reflector arrayed feed antenna DESDynI Baseline DESDynI w/ Tandem-L

  6. DESDynI End-to-End Data Flow – Radar Legend NASA-Supplied Project-supplied Lidar Data Products Provider External Data Archive & Distribution (DAAC) DESDynI-Radar S-Band, Ka-Band MOS/GDS SDS Validated Science Data Products Lidar Data Products NASA TDRSS Station L0 b / L1 Data Products Information Management Life-of-Mission Data Storage Project & Instrument Team Data Access Radar Telemetry Radar Instrument Data Processing Science Data Analysis Comm Cloud Cmds Plb HK RT HK RT & Plb HK Plb HK Flight Ops Monitoring & Control L2/3, L3/4 Science Data Products S/C Provider L0b, L1, L2/3 Data Products S/C Cmds L2 / 3 / 4 Science Data Processing Instrument Cmds Instrument Monitoring Science Data Processing Realtime (RT) & Playback (Plb) HK

  7. Key Driving SDS Design Requirements • Total Mission Data Volume: 44 TB/day, 34 PB over 3-yr or 51 PB over 5 years 3) • Processing Loading: Sized to meet respective product availability (latency) requirements with no backlog and with margin to include TBD reprocessing Notes: 1) Acquisition volume is assumed fixed at 1 GB/sec over Ka band for 45 min/orbit 2) Assumed Operational User data products less than 1% of the total data product volume 3) 1-year rolling storage is assumed for SLC products • Data Acquisition Volumes:Radar – 4.9 TB per day1) • Data Product Types:31 standard products (1 L0b, 10 Level 1’s, 13 Level 2/3’s, 6 L3/4’s) • Data Product Availability: • Provisional Products For Science Team Use - • Level 0b No backlog on daily basis • Level 1 15 hours from availability of all requisite Level 0b data product and GPS; No backlog on daily basis • Level 3 6 hours from availability of all requisite Level 1 data product • Level 4 6 hours from availability of all requisite Level 3 data product and LIDAR • Operational Users 2) - • Level 1 4 hours from availability of the relevant Level 0a • Level 3 4 hours from availability of the relevant Level 1 data product

  8. Data Product Suite - 1 8

  9. Data Product Suite - 2

  10. SDS Architecture & Functional Diagram • Modular SDS Architecture: • SDS Central Node - • manages information and resources (info on data, computing, services, etc) across SDS • provides a web-based portal for discovery and access to data and services • SDS Instrument Product (Radar) & Expert (‘Solid Earth Deformation’, ‘Ecosystem Structure’, and ‘Dynamics of Ice’) Nodes - • provide catalog, testbed, processing (L0b & up), ‘Life-of-Mission’ storage, and distribution functions Real-time Access to Catalog, L0b and higher products, Ancillary Data, Science Analysis Software Notes: DAAC – Distributed Active Archive Center Pipeline data flow

  11. SDS Node Architecture – Instrument & Expert Nodes Data and Services Registration @ SDS-Central Receipt/Delivery of Data Products Query/Receipt of Metadata Processing Control System Profile/ Registry Server Product Receipt/Delivery Server File Mgmt Resource Mgmt Product Catalog Product Repository Workflow Mgmt PGEs (Computational processing with product-specific PGEs): L0b, L1, L2, .... PGEs (Computational processing with product-specific PGEs): L0b, L1, L2, .... Algorithm Testbed PGEs (Computational processing with product-specific PGEs): L0b, L1, L2, .... Notes: Processing Control System provides a pipeline for cataloging, process management, computational processing, and workflow management Profile/Registry server allows for distributed queries of data within the node Product/Delivery Server allows for on-the-fly processing and delivery of data products from the node. Algorithm testbed/PGE supports instrument or science algorithm development, science product generation, and data analysis functions Product Repository includes Life-of-Mission storage and data product staging area

  12. Algorithm-to-Production Software Process Algorithm Software Formulation & Prototyping ATBDs * Algorithm Software Delivery Review Production Software Development - Single Executable Testing - Multiple Executable Pipeline Testing - System I&T Production Software Release Review SDS Testbed SDS Operational System Production Software Deployment * ATBD: Algorithm Theoretical Basis Document

  13. Data Storage and Archive Strategy • Distributed Storage Strategy • Data resides where it is generated • Data exists for project use • Centralized Information Management • Manages information and resources across SDS • Provides a web-based portal for discovery and access to data and services • Delivers validated* products to DAAC’s for long term archive • DAAC’s to provide archive and distribution to the public • DAAC’s are TBD • Investigate trade off of data storage vs data re-generation • Rolling archive/storage for high volume products * Could be preliminary validated through enhanced validated

  14. Data Distribution Challenge to DAACs • Data volume: • Multi-terabytes per day • Total number of data sets: 31 • DESDynI addresses three major disciplines • Solid Earth Deformation • Ecosystem Structure • Dynamics of Ice • Interest in DESDynI data will include scientific investigators, government agencies, corporate and public users • DESDynI data may have much greater public interest • We have a formidable job ahead for DESDynI data

More Related