SMAP Science Data System (SDS) Overview

1. SMAPScience Data System (SDS) Overview Science Data Systems in the Decadal Survey Era Workshop, June 25-26, 2009 Robert Toaz SMAP SDS Manager Jet Propulsion Laboratory

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

3. SMAP Mission Overview • Objectives: • Provide global measurements of soil moisture with the accuracy, resolution, and coverage to improve our understanding of hydrologic cycle • Orbit: • Sun-synchronous, 6 am/pm orbit, 8 day repeat • 680 km altitude • Instruments: • L-band (1.26 GHz) radar • High resolution, moderate accuracy soil moisture • Freeze/thaw state detection • SAR mode (non-imaging): 3 km resolution • Real-aperture mode: 30 x 6 km resolution • L-band (1.4 GHz) radiometer • Moderate resolution, high accuracy soil moisture • 40 km resolution • Shared instrument antenna • 6-m diameter deployable mesh antenna • Conical scan at 14.6 rpm • Incidence angle: 40 degrees • Creates contiguous 1000 km swath • Swath and orbit enable 2-3 day revisit • Mission Operations: • 3-year baseline mission, 2014-2017

4. SMAP End-to-End Data Flow Legend SMAP NASA-Supplied Project-supplied S-Band TDRS Network S-Band External Data Archive & Distribution (DAAC) Critical Event Coverage S-Band, X-Band S-Band SDS MOS/GDS Validated Science Data Products TDRSS Earth Terminal NASA Ground Station L0 Data Information Management Life-of-Mission Data Storage Project & Instrument Team Data Access Radar and Radiometer Telemetry L0 Processing Science Data Analysis GSFC Comm Cloud Cmds Plb HK RT HK RT & Plb HK Plb HK Flight Ops Monitoring & Control L1 Science Data Products L3, L4 Science Data Products S/C Provider S/C Cmds Radiometer and Radar Data Processing Geophysical Data Processing Instrument Cmds Instrument Monitoring Science Data Processing Realtime (RT) & Playback (Plb) HK

5. Key/Driving SDS Requirements • Data Acquisition Volumes: 45 GBytesper day • Data Product Types:Level 0 (2), Level 1 (4), Level 3 (4), Level 4 (2) • Three year Life of Mission Storage: All Science Data Products (~ 80 TBytes) • Reprocessing: 30 months of data in 12 months • Data Product Latency (post-Commissioning): • Level 0/1 12 hours from data acquisition • Level 3 24 hours from data acquisition • Level 4 7–14 days from data acquisition • Initial Release to DAAC of Science Team Validated Products: • Level 0/1 begins 6 months after commissioning • Level 3 begins 12 months after commissioning • Level 4 begins 12 months after commissioning • Data Product Accuracy for Level 1: • Geolocation accuracy of less than 1 km for L1C_SO_HiRes • Sigma0 accuracy of 1 dB or less for Radar L1 (3km resolution) • Brightness temperature accuracy of 1.3 degrees K or less for Radiometer L1 • Ops Performance Margin: 50% • Testbed Capability: support algorithm and production software development/processing, and ingestion of field campaign data

6. Global Mapping L-Band Radar and Radiometer High-Resolution and Frequent-Revisit Science Data Observations + Model Value Added Product SMAP Science Data Products

7. Distributed Users SDS Architecture and Functional Diagram External JPL GSFC SDS Ground System Network L4 PGEs L0 Radiometer PGE L1 Radiometer PGEs S/C HK, Science TLM, Tracking Data L4 L1, L3 L1 L0b L0a L0b Provisional Products Project and Science Team Users MOS/GDS Processing Control & Life-of-Mission Storage Validated Products S/C HK, Ephemeris, Time Correlation Data, L0a Radar/Radiometer, Ground truth, Ancillary data Data Archive & Distribution Center L1, L3, L4 L0B L0A Performance Reports L1 L0B L3 L1 L0 Radar PGE Science Data Analysis L1 Radar PGEs L3 PGEs PGE – Product Generation Executable

8. Algorithm-to-Production Software Process Testbed and Operational System Share Identical Architecture 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

9. Algorithm Software Delivery Process • All algorithm software deliveries will be in Fortran, C, and/or C++ • Algorithm prototyping software (in IDL and MATLAB) will support algorithm software deliveries to the SDS • All delivered software will adhere to the “Algorithm Software Coding Specification” document • Supporting material in algorithm software deliveries includes: • Algorithm Inputs (ancillary datasets, parameter specifications, …) • Algorithm Outputs (expected numeric results, success criteria, …) • Test datasets • Algorithm software deliveries will be phased with Production Software releases containing the delivered algorithm software • Algorithm software delivery schedule must align with the Project schedule through Phases B, C, and D

10. Data Storage and Archive Strategy Life-of-Mission Storage Provides readily accessible Mission data to Project teams throughout the Mission SDS Operational System SDS Testbed • Production Data Storage • Ancillary data • L0 Radar, Radiometer • L1B/C Radar, Radiometer • L3 Soil Moisture, Freeze/Thaw • L4 Soil Moisture, Carbon • Test Data Storage • Field campaign results • Cal/Val datasets • Simulation data Long-term Archive Provides validated Science Products beyond the Project Team DAAC • Production Archive • Ancillary Data • L0 Radar, Radiometer • Validated L1B/C Radar, Radiometer • Validated L3 Soil Moisture, Freeze/Thaw • Validated L4 Soil Moisture, Carbon