Aura

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National Aeronautics and Space Administration Jet
Propulsion Laboratory California Institute of
Technology
Aura Microwave Limb Sounder David T. Cuddy Jet
Propulsion Laboratory California Institute of
Technology
October 27, 2008 Data System Working Group Aura
Science Meeting Columbia, MD
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Agenda

• Project Overview
• Aura Data System
• SIPS Hardware
• Software Data Flow
• Science Products
• V2.2 Releases
• GMAO Data
• V3 Development
• Quad-core
• Summary

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Project Overview
EOS MLS - Microwave Limb Sounder

• Salient Features
• One of 4 instruments on the EOS Aura spacecraft
• Launch date July 15, 2004
• Operational life 5 years
• Dr. Nathaniel Livesey (JPL) Principal
  Investigator
• Thermal emission from 0 to 100 km altitude in
  five millimeter and submillimeter wavelength
  bands
• All measurements are performed simultaneously and
  continuously, both day and night, and can be made
  even in the presence of dense cirrus clouds and
  stratospheric aerosols
• Science
• Improve understanding and assessment of
• Stratospheric ozone depletion and chemistry
• Upper tropospheric ozone distribution and
  chemistry
• Climate change and variability
• Global distribution of O3, ClO, H2O, SO2, CO,
  N2O, HNO3, HCl, HOCl, BrO, OH, HO2, HCN,
  temperature, geopotential height, and cirrus ice

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Aura Data System
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Hardware Diagram
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Software Data Flow
ML0SCI1, 2
AURGBAD1
AURATTRH
AUREPHMH
ML0ENG1,2,3,4,5,6
Level 0
Level 1 Products ML1RADD, ML1RADG, ML1RADT, ML1OA
MLS Level 1 PGE
LeapSec, UTCPole
Level 1
Level 2 Geophysical data ML2BRO, ML2CLO, ML2CO,
ML2GPH, ML2H2O, ML2HCL, ML2HCN, ML2HNO3, ML2HO2,
ML2HOCL, ML2IWC, ML2N2O, ML2O3, ML2OH, ML2RHI,
ML2SO2, ML2T, ML2CH3CN
MLS Level 2 PGE
GMAO data
Level 2 Auxiliary data ML2DGM, ML2DGG
Level 2
ML0SCI1, 2 _NRT
AURGBAD1_NRT
AURATTR_NRT
AUREPHM_NRT
ML0ENG1,2,3,4,5,6 _NRT
Level 0
NRT Products ML2T_NRT, ML2O3_NRT
MLS NRT PGE
LeapSec, UTCPole
NRT
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Science Products

• Level 1 Calibrated radiances
• Count 4 granules/day
• Size _at_ 3.4 GB/day
• Level 2 Geophysical parameters as swaths
• BrO, ClO, CO, GPH, H2O, HCl, HCN, HNO3, HO2,
  HOCl, IWC, N2O, O3, OH, RHI, SO2, T, CH3CN
• Count 18 granules/day
• Size 1 to 2 MB each
• Level 2 Miscellaneous parameters including
  clouds
• Count 3 granules/day
• Size 725 MB/day
• Near Real Time Products Temperature and Ozone
• Count up to 96 x 2 granules/day
• Size lt200 KB/granule
• All output products are in HDF5 or HDF-EOS5

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V2.2 Releases

• V2.2 is the validated version of MLS Level 1
  and 2 software
• NRT is based on this release
• V2.20 initial release came in late 2006
• Took about 10,000 CPU-hours/data-day on a 3.06
  GHz processor
• V2.21 De-convolve DACS radiances in Level 1
• Began processing in March 2007
• V2.22 increased performance without change of
  quality
• Realized nearly 100 gain in performance dropping
  to about 5,000 CPU-hours/data-day on a 3.06 GHz
  processor
• Gains were realized with code changes to
  optimized performance and change of compiler to
  Intel
• Began in December 2007
• V2.23 addresses problems due to Aura FMU
  anomalies
• This version used for data dates since Dec 4, 2007

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V2.2 Calendar
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GMAO Data

• MLS Level 2 products are tied to GMAO output
• GEOS5 5.01 2004 August 8 (d221) 2007 November
  30 (d334)
• GEOS5 5.10 2007 December 1 (d335) 2008
  September 14 (d258)
• GEOS5 5.20 2008 September 15 (d259) forward

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NRT

• MLS has a NRT processor to produce two products
  every 15 minutes
• Temperature and Ozone
• MLS uses a fast 1D version of the forward model
• Working on a second derivative version to give
  more accuracy
• Typically, NRT Level 0 data is available within 2
  hours and Level 2 data is available within 3
  hours
• Data is now publically available via GES-DISC
• NRT Data Quality Description Document is released
• Thanks to GES-DISC for their effort in producing
  this data in a timely manner

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V3 Development

• V3 development is on-going and expect to have in
  production in late spring/early summer of 2009
• Expected features include
• Forward Model improvements
• Investigate instrument related artifacts such as
  antenna transmission, filter shifts, and gain
  compression
• Investigate line shape absorption model
• Study cloud radiation scattering effects
• Product improvements
• Extend measurements vertically
• Increase vertical grid for O3
• Address biases
• Improve products in clouds
• New products CH3Cl, CH3OH, CH3COCH3, Ice Water
  Path

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Quad-Core Performance

• MLS has explored the use of Intel quad-core
• MLS ran our current Level 2 with no
  re-compilation
• It ran nearly twice as fast on each processor
• Each quad-core has 4 times as many processors as
  our current architecture
• We think we may be able to realize re-processing
  5 years of MLS data in about 7 months with 154
  nodes
• Each node has two processors and 16 GB of memory
• With 16 GB memory per board (memory is
  expensive), we have seen significant increase in
  throughput
• It may not be backward compatible with our
  current architecture

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Summary

• EOS MLS is healthy
• MLS is producing validated geophysical products
• MLS is producing Temperature and O3 for Near Real
  Time
• MLS tries to stay in sync with GMAO output
• MLS is working toward V3
• MLS hopes to leverage performance improvements
  from Intel