HIRDLS Level-2 Science Data: Algorithms and Processing HIRDLS Level-2 Science Data: Algorithms and Processing HIRDLS Level-2 Science Data : Algorithms and Processing Alyn Lambert(1), Ken A. Stone(2), Jim Craft(2), Cheryl A. Craig(1), David P. Edwards(1), John C. Gille(1,2), Brian R. Johnson(1), Chris M. Halvorson(1), Steven T. Massie(1) and Joe M. McInerney(2). (1) National Center for Atmospheric Research, Boulder. (2) University of Colorado, Boulder. The High Resolution Dynamics Limb Sounder (HIRDLS) is an infrared limb-scanning radiometer designed to measure atmospheric limb emission in 21 spectral channels operating over the wavelength range from 6 m to 18m The inverse remote m m. sounding problem for HIRDLS is to take the measurements of thermal limb radiances on a set of tangent heights with precisely known spacing and to find a consistent solution in terms of vertical profiles of atmospheric temperature, pressure and constituent mixing ratios with associated errors. Successful processing of HIRDLS data will be determined to a large degree by how quickly and easily the science goals are met. This will require a flexible "plug-and-play" integration of science algorithms within an efficient computational framework and the power to visualize the results of prototyping efforts with minimal effort. Science algorithms, a solid framework and easy-to- use visualization tools thus form the foundation of our efforts. Here we outline our approach at building a successful Level-2 processor and present results from the first phase of development. HIRDLS Instrument Overview Instrument Cut-away View Focal Plane HIRDLS 1-Orbit 5x5 Global Mode Swath Coverage HIRDLS 12 Hour 5x5 Global Mode Coverage Instrument Cut-away View IFC Mirror Space Optical Schematic Composite FOV Out line Alignment IFC Mirror Quad Detector HIRDLS Altitude Coverage View Port Space View Space View Typical Scan Sequence Aperture Stop Field Stop #2 Lens ch 18 H2 O ch 5 CO2 ch 17 CH4 80 80 Relay Mirror & Assembly Warm Filter 6.97 to 7.22 µm 14.71 to 15.27 µm 7.30 to 7.55 µm Intermediate Assembly IFC Return Time: 3.55 S Ge Lens 736 µm Lyot Stop 9.0 km 70 70 #1 Scan MirrorScan Mirror Space View 2.98 mrad Assembly Field Stop Fold ch 19 Aerosol ch 4 CO2 ch 16 ClONO2 23.26 Assembly System Geopotential Height Gradient Albedo 7.06 to 7.13 µm 2.9 mm 15.15 to 15.97 µm 60 60 Aperture Shield Stop Secondary Mirror Field Out-of-Field Baffle Temperature Stop #1 In-Flight Calibrator 50 50 Ge Lens Pressure Chopper ch 20 H2 O ch 3 CO2 ch 15 N2 O To IFC Time: 2.2 S Ozone Radiation #2 (IFC) Altitude (km) Altitude (km) Telescope 6.49 to 7.03 µm 15.63 to 16.39 µm 7.80 to 7.96 µm Water Vapor IFC Trap Primary Space Elevation 9.0 S Methane Subsystem Mirror 81.8 µm 40 40 Blackbody Primary Chopper 1.0 km (LOS Deg) DSS 0.332 mrad Mechanical Unit N2O IFC Mirror Cold Filter NO2 4.50 mm Assembly IFC Dwell Time: 1.25 S N2O5 ch 21 NO2 ch 2 CO2 ch 14 N2 O 55.0 km ClONO2 5 Blackbody Primary Primary 18.2 mrad 30 30 HNO3 Scan Diffraction 6.12 to 6.32 µm 16.26 to 16.67 µm 7.94 to 8.14 µm Mirror Baffle Mirror Structural Ther- CFC-11 CFC-12 (PDB) Aerosol mal Subsystem 20 20 Chopper Sunshield Earth "Hot Dog" Door ch 12 O3 ch 1 N2 O, Aero ch 13 Aerosol 26.35 1.0 S Cloud Tops Lens Aperture 8.77 to 8.93 µm 17.01 to 17.76 µm 8.20 to 8.33 µm Assembly In-flight 10 10 Space View Calibrator Aperture Black Body Chopper Gyro -40 -28 -16 -4 8 20 58 Detector ch 11 O3 1.39mm ch 6 Aerosol 0.65 mm ch 7 CFC-11 0 0 Sunshield 17.0 km 8.0 km Dewar Lens Calibrator Door 9.54 to 9.89 µm 5.63 mrad 11.96 to 12.18 µm 2.65 mrad 11.72 to 11.98 µm Mirror Aperture Azimuth (LOS Deg) Space View Assembly Fixed 818 µm Aperture Sunshade 10.0 km 3.32 mrad Total Cycle Time = 66.0 S ch 10 O3 ch 9 CFC-12 ch 8 HNO3 Gyro 9.90 to 10.10 µm 10.72 to 10.93 µm 11.05 to 11.63 µm Detector 4.50 mm Dewar 55.0 km 18.2 mrad Software and Data Management Data Processing Major Components HIRDLS Standard Data Flow Level 2 Processor Climatology Data Bases A-priori Covariances Software Development Approach Beta Version HIRDLS Level 1 HIRDLS Standard Science CoLocate Science Algorithm Prototyping SIPS Based Science Data Product Software Calibrate, Sort & Merge; Ancillary CoLocAnc Product Data Flow Geolocate Radiances Transmittance Level 0-1 Level 1-2 Level 2-3 Level 0 Goals PreProcessor Level 1+ Tables Science Heritage Processor Processor Processor Quality Assurance Browse Product Metadata Level 0 - 1 Level 1 Algorithms Subsequent (Calibrated (Geophysical (Gridded Processors Processors Processors (CCSDS Packets) Processor Products •Solve the easy problem Software Radiance) Parameters) Parameters) Versions •Build on success Optional LOS Grid Retrieve Geophysical Parameters Link Forward Model Initial Requirements Requirements Review & Adoption of “Best Practices” •Build system infrastructure Analysis Update •Data Format Definition as high FIR Filters Low Rate Gyro •Evolutionary prototype Optional BBF Table Architectural Design level requirements specification. Retrieved Design Update Data •Identify data connections and FOV Data Parameters •Project wide visibility of plan and SCF Based SDP SCF Based SCF Based Data content LOS Gridder FOV Data Subprojects progress. Operations Support Analysis Support Geopotential Height Support Software Level 3 Gradient Determination Level 2-3 •Flexible implementation Symbol Key HDF-EOS Build HDF File Detailed Design Detailed Design •Configuration management Software Software Geopotential Data File Swath Detailed Detailed Height Gyro Processor •Learning experience Second Pass+ Design Build Design Build (defect tracking, version history, Data Access Products Processor ... ... Prototype SDP Service Q/A Analysis Mission and Data Sub-System HIRDLS Build Build testing, and requirements tracing) Data Product and Utility Planning Management Test Test Algorithms Software Visualization Level 2 Beta Version Test Test •Inspections and peer reviews at Calibration IST/SCF System System all levels. Data Product Data Data Data Analysis Testing Testing Analysis Kalman Filter approach Level 2-3 Level 2 Level 1 - 2 Simulators Software Validation Exchange Software Tools to global gridding Processor Products Processor Implementation Approach Beta Version Engineering Version Retrieval of Mixing •Sub-systems linked with straightforward scripting language Science Support Instrument Support Ratio, Temperature and •Promotes easy testing of units and parallel development. Incremental software life-cycle Software Software Distributed Science Application Software Aerosols Technically a modified waterfall with sub-projects and risk reduction. Detailed •Reduces risk involved with massive processor. Atmospheric Chemical Radiative Atmospheric Dynamics Level 3 Products •Allow for parallel computations Sub-projects allow stand-alone modules (e.g., forward model, pre-processor) Transfer Product Types Models Models Models Input Standard Intermediate •Scaleable shared-memory multiprocessor architecture(I.e., SGI Origin 2000). to be developed in parallel and promotes easier testing and simulation work. •Process groups of profiles on separate CPUs. Incremental deliveries prevent science/product group disconnects. Focus on input/output/process definitions and requirements.
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