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SCIA measures CO 2 absorption simultaneously in 1.6 m m band

SCIA measures CO 2 absorption simultaneously in 1.6 m m band CH 4 column-average mixing ratio actually derived as ratio to CO 2 , which is much closer to being uniformly-mixed. errors in knowledge of atmospheric physics and instrument are accounted for

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SCIA measures CO 2 absorption simultaneously in 1.6 m m band

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  1. SCIA measures CO2 absorption simultaneously in 1.6mm band • CH4 column-average mixing ratio actually derived as ratio to CO2, which is much closer to being uniformly-mixed. • errors in knowledge of atmospheric physics and instrument are accounted for • Q: Might perturbations from uniform-mixing be detectable for CO2?

  2. Influence of geophysical factors on seasonal variation in 1.6mm reflectance spectrum • 1.6mm reflectance spectrum influenced by geophysical factors additional to CO2 • Detection of CO2 seasonal variation (~few % pk-pk) depends on spectral correlation and how accurately these other factors can be known. Spectra calculated for seasonal amplitudes Normalised spectra for seasonal amplitudes

  3. Influence of geophysical factors on seasonal variation in 1.6mm reflectance spectrum (contd.) • Derivation of column-average • vmr also depends on accurate knowledge of scattering ie: • Solar zenith & viewing angle • Surface BRDF • Profiles of aerosol & thin cirrus • Residual cloud contamination BRDFs are characterised for season and location using MODIS data.

  4. Influence of instrumental factors on seasonal variation in 1.6mm reflectance spectrum Time-series of SCIA 1.6mm direct-sun spectra SCIA integrated 1.6mm reflectance v AATSR • To detect regional perturbations from uniform mixing at accuracy (≤1%) needed for inverse • modelling, near-perfect knowledge of other geophysical and instrumental factors is required.

  5. dn- FWHM SCIA: ~6 cm-1 GOSAT: ~0.3 cm-1 • GOSAT: FTS optimized for CO2 • additional bands (2mm & IR); 20x higher spec. res., cloud imager • Results awaited with great interest by the community

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