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SQWG Overview

SQWG Planning for Operational Algorithm Updates SADDU, 16./17.6.2008, Bremen Heinrich Bovensmann on behalf of SWQG team. SQWG Overview. SQWG Goals.

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SQWG Overview

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  1. SQWG Planning for Operational Algorithm UpdatesSADDU, 16./17.6.2008, BremenHeinrich Bovensmann on behalf of SWQG team

  2. SQWG Overview

  3. SQWG Goals • Maintain and improve SCIAMACHY operational data processing, by intensify and condense all activities around the evolution of the operational processing into one group which takes care of the evolution and improvements of the operational data processing chain from Level 0 to Level 2. • SQWG is a an interagency effort of ESA, DLR and NIVR to maintain and improve the SCIAMACHY algorithm baseline, as described in the statement of work.

  4. SQWG - SADDU • SQWG‘s is contracted by agencies to work on improvements of operational algorithms along a concrete work plan agreed with agencies • SADDU and SSAG is mandated to recommend on operational algorithm development towards agencies • SADDU is mandated to stimulate the development of scientific algorithms to maximise the scientific outcome of the SCIAMACHY mission

  5. SQWG Project Structure WP 1000 Coordination Planning, Staffing, Reporting, Project Monitoring WP 3000 L0 – L1c WP 4000 L1c - L2 WP2000 Algorithm Baseline Algorithm Maintenance Algorithm Maintenance Documentation Algorithm Evolution Algorithm Evolution Prototype Processor Key Data Data Bases SCICAL M-Factors SCIA L1C Support to Anomaly Investigation Data Bases Test Data Support to Anomaly Investigation Verification Data Bases

  6. SQWG – Teaming Coordination: IUP ESA DLR NIVR Core Team: IUP, IMF, SRON Algorithm Baseline L0 – L1c L1c - L2 SRON IUP IMF IUP IMF SRON IMF BIRA IUP KNMI KNMI BIRA

  7. Workplan: Level 1 Activities

  8. Workplan: Level 2 Activities

  9. Other Activities • Maintenance of Calibration and Optical Monitoring • Monitoring: • Light path • Detectors • Tangent Height • Anomaly Support on request • Agency Support on request • Communication with Agency

  10. Change Request Form

  11. Change Request

  12. From SCR to Implementation

  13. Activities Year 2 (2008/2009)

  14. Summary Year 2 Level 1 • Tangent height monitoring • Improving Bad and dead pixel masks • m-factors, Nadir reflectance correction, • Limb reflectance • Spectral stray light implementation • Sun Mean Reference investigations • Channel 6 calibration • Key Data Update (spectral straylight, radiometric, polarisation) • NEW (tbc): Scan angle dependent degradation • NEW (tbc): Spatial stray light investigations

  15. Level 2

  16. Nadir DOAS products: Year 2 • improvement of the data products based on the outcome of validation activities • nadir cloud parameter algorithm will be improved w.r.t. surface albedo and minimum reflectance databases.

  17. Nadir Absorbing Aerosol Index Product • There are remaining effects of instrument degradation on the globally averaged AAI: • Remaining trend in globally averaged AAI over the years despite m-factor correction • scan-angle dependence is growing with time at an increasing rate • Further improvement shall also include: • correction for calibration offset at t=0 • correction of FOV blockage (affects data until April 2003) • sunglint filter/flagging

  18. Level 2 Nadir Year 2 - New • implementation of nadir H2O • Validated algorithm (AMC-DOAS) ready for implementation • implementation of nadir CO • Data quality will be “noisy” – proper averaging need to make use of the data • Algorithm ready for implementation • Warning: Channel 8 detector degradation may have a strong impact on percentage of “good” CO data

  19. Level 2 Limb Year 2 • improving O3 profiles • in the upper stratosphere (usage of UV wavelength) • or in the lower stratosphere (impact of clouds and aerosol) • Trade-off w.r.t. implementation options ongoing • improving NO2 profiles • Study to improve in UTLS w.r.t. clouds, aerosols • New: implementing BrO • implementation limb cloud flag

  20. V4p4 V4p3 V3.01 O3 : Verification with SAGE II • The difference between ozone profile is improved with V4p3, mainly in the lower stratosphere • V4p4 gives best results with differences of less than 10% for most of the height range • A small impact of the missing AUX-FRA correction (V4) can be expexted

  21. Limb Cloud Flagging Database • Stored in database: • Index of tangent height • tangent height of maximum Color Index Ratio (CIR) • CIR value • => 3 sets for cloud top height, cloud phase and PSC are stored in the new database version 1.0. • Reprocessing 2002 – 2007 using L1 v6.03 is nearly finished. • Contact: Kai-Uwe Eichmann (IUP) • eichmann@iup.physik.uni-bremen.de

  22. Potential Activities Year 3-4 (2009 – 2011) Currently not „contracted“

  23. Note • Current SQWG contract is running until spring 2009 • Agencies intends continuation • All proposed improvements are preliminary w.r.t. to continuation of the involved contracts/funding lines • Feedback of SADDU on proposed activities explicitly welcomed

  24. Overall Goals 2009 ff. • The main goal for SQWG Year 3-4 (ff.) should be, to establish L1 and L2 data quality of the full SCIAMACHY data set, which allows substantial contributions to long term atmospheric data sets in the areas of: • the development of the O3 layer • global air pollution • Global Greenhouse gas observations • Solar-Terrestrial interactions • In addition, the data set shall allow to investigate new scientific methods and products.

  25. Summary Level 1 Year 3-4 • M-factor full implementation evolution • Scan angle dependent degradation correction • Spatial stray light correction • Bad and dead pixel correction improvements • Calibration adaptation for mission extension due to orbit change • Key data and SciCal updates • Improved polarisation correction (incl. Limb)

  26. Level 2 Year 3-4: General • Improving data products based on outcome of validation activities • Adaptation of Level 1-2 algorithms w.r.t. sensor degradation • Adaptation of Level 1-2 algorithms w.r.t. orbit changes beyond 2010

  27. Level 2 Nadir Year 3-4 • Adaptation of Nadir NO2 and O3 TC algorithms to be comparable in quality with GOME/GOME2 (GDP 5) • Implementation of the total column BrO and SO2 • Implementation of a tropospheric NO2 product • Implementation of total column HCHO • Implementation nadir ice/snow-cloud discrimination product • Implementation of XCH4 • …

  28. Level 2 Limb Year 3-4 (tbc) • Improving Limb O3 to allow vertical coverage from the UTLS to the mesosphere • Improving Limb NO2 in the UTLS (fit window) • Improving Limb BrO in the UTLS (clouds, aerosol etc.) • Implementation Limb Cloud Identification Product (PSC, NLC, Ice/water) • …

  29. The End

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