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First SDS PI meeting at NCDC

First SDS PI meeting at NCDC. Cheng-Zhi Zou, Likun Wang, Wenhui Wang NOAA/NESDIS/STAR. 2010 CDR PI Meeting. Objective Brief recent progress and accomplishments Exchange ideas between projects Enhance collaboration among teams

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First SDS PI meeting at NCDC

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  1. First SDS PI meeting at NCDC Cheng-Zhi Zou, Likun Wang, Wenhui Wang NOAA/NESDIS/STAR

  2. 2010 CDR PI Meeting • Objective • Brief recent progress and accomplishments • Exchange ideas between projects • Enhance collaboration among teams • Share programmatic issues, concepts on transitioning CDRs into an operational environment • Who are involved • 6 Teams funded in 2010 (STAR: 4) • 7 Teams funded in 2009 (STAR: 1) • CDR program office

  3. Take-Home Message • Future delivery: Transparency • Data with common format (NetCDF) • Corresponding algorithms and codes must be delivered • In addition to journal papers, ATBD must be drafted • Research to operations: transitioning CDRs into an operational environment • Each project has a NCDC tech. leader and IT leader • Will release the guidance for IT environment and coding requirements • 2011 proposal call: • Letter Of Intent (LOI) Due: September 15, 2010 • Proposals Due: November 10, 2010

  4. Status of the MSU/AMSU/SSU Project MSU+SSU; 1978-2007 AMSU; 1998-present MSU/AMSU/SSU Total 22 channels 15 atmospheric channels Left: Weighting functions for the MSU and SSU instruments, where the black curve represent the MSU weighting functions and the dashed and red curves are the SSU weighting functions for different time period, showing a shift due to an instrument CO2 cell pressure change; Right: Weighting functions for AMSU-A. All weighting functions are corresponding to nadir or near-nadir observations.

  5. Level-1c Calibration Simultaneous Nadir Overpass (SNO) Method Nonlinear Calibration: one set of calibration coefficients for all scan positions RL is the linear calibration term Slope S Z is the quadratic nonlinear term

  6. Merged MSU/AMSU time series  Five-day averaged, global-mean MSU/AMSU temperature anomaly time series

  7. Data Archive and Download • Website address: • http://www.orbit.nesdis.noaa.gov/smcd/emb/mscat/mscatmain.htm • Datasets for public access: •  Level -1c calibration coefficients • Level -1c radiance: •  SNO calibrated •  pre-launch (operationally) • calibrated • Level 3 gridded products: 2.5°2.5°  MSU/AMSU merged pentad and monthly TMT, TTS, and TLS

  8. Corrected SSU time series • Involve: • Instrument CO2 cell correction; • Atmospheric CO2 correction; • Limb-adjustment; • Diurnal drift corrections; • Residual bias correction

  9. Application • MSU/AMSU: Trend investigations; Reanalysis, compare with GPSRO, radiosonde, reanalyses, RSS and UAH results climate model simulations and other climate variables • SSU: Collaborate with CPC Craig Long for validation/comparisons against Rocksonde observations Before Inter-calibration After inter-calibration

  10. SSU SSU

  11. Deliverables & Schedule—MSU/AMSU

  12. Schedule & Delivery Plan--SSU • Schedule • Now: SSU corrections have been done • 09/2010: Working on merging the SSU data from different satellites • 10/2010: Peer-reviewed journal paper • 12/2010: Release beta version data and Draft ATBD • 06/2011: Validation with GPSRO data • 10/2011: Working on merging with AMSU-A • 06/2012: Merged SSU/AMSU data • Future Delivery plan • Level 1c: SSU radiances with cell pressure correction, 12/2010 • Level 3: Pentad gridded products 2.5 by 2.5, 12/2010 • Level 3: Monthly gridded products 2.5 by 2.5, 02/2011 • Level 3: Merged SSU/AMSU gridded products, 2.5 by 2.5, 06/2012

  13. Issues/Risks & Work-Off Plans • Issues • No microwave SI-traceable standards for absolute validation • Only two PRTs on MSU, thermal gradient problem may never be solved. AMSU maybe OK • Difficult to use SNO to resolve higher order nonlinearity than quadratic • Chanel failures affect accuracy (e.g., N15 channels 4, 11, 14) • Bias drifts of certain satellite (NOAA16) affect trend • Work-Off Plans • Use best practice inter-calibration algorithms to produce multiple identical satellite observations • Implement comprehensive validation/comparison plans

  14. Issues/Risks & Work-Off Plans • Data availability • NESDIS does not archives all the SSU data. We have got some missed SSU data from NCAR and ECWMF; all available data in hands • Lack of overlap • Uncertainties when merging data from different satellites • SNO method is difficult to apply • Limited source for validation/comparison • GPSRO, AIRS, MLS only can validate N14 SSU data • No other operational stratospheric temperature observations available for early SSU • Minimal literature • Some information is hard to track, e.g. SSU cell pressure values

  15. Thank You!

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