BIRA expertise / plans related to HYMN - PowerPoint PPT Presentation

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BIRA expertise / plans related to HYMN

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  1. BIRA expertise / plans related to HYMN M. De Mazière C. Vigouroux C. Senten B. Dils

  2. Expertise / Equipment / operations • Bruker 120M interferometer, equipped with automatic and remote control operations system Available for campaign operations (container), In particular at the Ile de La Réunion and at Ukkel/Brussels In progress: acquisition of a Bruker 125HR instrument for permanent installation at Reunion Island (2009 ) • Collaboration with ULg at Jungfraujoch, under ULg responsibility • Supporting FTIR operations at Paramaribo during STAR pilot campaign (see J. Notholt) • Coordinated validation activities using FTIR network data

  3. St Denis, 2004 Suntracker Meteo mast Past campaigns at Reunion Island First campaign: Period: October 2002 Location: Piton du Maïdo Altitude: 2203 m Latitude: 21°04’ S Longitude: 55°23’ E & St. Denis (cf. 2nd campaign) Second campaign: Period: August – October 2004 about 60 measurement days Location: Saint Denis Altitude: 50 m Latitude: 20°54’ S Longitude: 55°29’ E

  4. Present campaigns • During HYMN: • Operations at Ukkel/Brussels since July 1, 2006 • Third campaign planned at St. Denis between March 2007 and end of November 2007 (TBC) • Before and after: additional campaigns can be held at Ukkel or elsewhere

  5. Observations at Reunion • ‘Timeseries’ of vertical profile data for HCl, HF, HNO3, O3, CO, N2O, CH4, ... • Comparisons with correlative data for verification Examples

  6. CH4 observations • Total and partial column timeseries

  7. CH4 observations at Reunion • Comparisons with ACE overpasses

  8. October 12 and 13, 2004 CO observations at Reunion Good correlation between CO and C2H6 total column amounts

  9. CO observations at Reunion Using Flexpart backtrajectory calculations, we found that the enhancements on October 12 and 13 are due to advection of biomass burning CO from over Madagascar

  10. Coordinated Validation activities • Use of NDACC FTIR network data for coordinated validation of SCIAMACHY CO, CH4 and N2O total column data • Evaluation of bias, scatter and correlation coefficient between FTIR and SCIAMACHY data as a function of latitude and season. Dils et al., ACP, 6, 1953-1976, 2006 • Use of NDACC FTIR network data for coordinated validation of MIPAS N2O (and CH4) profile data Examples • Planned: Retrieval of CO, CH4 and N2O column/profile data from IASI/Metop spectra (in collaborationn with ULB and IPSL/CNRS) ; Use of NDACC FTIR network data for coordinated validation

  11. SCIAMACHY NIR channels: CO Status Jan 2006 • Larger bias in SH • Verification of seasonal variation • Scatter still factor 2 higher than target precision

  12. SCIAMACHY NIR channels: CH4 Status Jan 2006 • Bias at high-altitude station of Jungfraujoch (IMAP) • Bias in SH • problems with representation of seasonal variation • Scatter in SCIAMACHY data products is of same order as for FTIR network and approaches target precision (1%)

  13. MIPAS profile data (ESA products) • Mean N2O profile differences (%) between ground-based FTIR and MIPAS retrievals for year 2003. MIPAS profiles are collocated within 1000 km around the g-b site and have been smoothed by the ground-based FTIR averaging kernels. BASCOE is a stratospheric 4D-VAR data assimilation system used as proxy for MIPAS data. Cf. Vigouroux et al., ACPD 6, 8335-8382, 2006 • Example at Jungfraujoch: • Good agreement in lower stratosphere ; • high dispersion above 20 km; • reduced when using BASCOE

  14. MIPAS profile data (ESA products) Issue of co-location and spatial gradients: BASCOE cannot reproduce high spatial gradients in vortex conditions

  15. N2O

  16. Maido setup, 2002 St Denis, 2004 Suntracker Meteo mast

  17. CO Bias and Standard errors (without Zug and Jun) • Target precision = 10%, FTIR scatter = 9.3% • If we leave out Zugspitze and Jungfraujoch, where the normalization is clearly erroneous, most validation parameters improve significantly.

  18. CH4 Bias and Standard errors (without Zug and Jung) • Target precision ~1%, FTIR scatter = 1.3% • Far less data points for IMLM (especially at high latitudes) • variability of FTIR decreases  impact on R-value • Scatter IMAP  FTIR ! • SRON is currently developing a Channel 6 XCH4 product from IMLM