1 / 28

NOAA/ESRL Carbon Cycle Group aircraft profile measurements – Non CO 2 gases

NOAA/ESRL Carbon Cycle Group aircraft profile measurements – Non CO 2 gases.

loe
Download Presentation

NOAA/ESRL Carbon Cycle Group aircraft profile measurements – Non CO 2 gases

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. NOAA/ESRL Carbon Cycle Group aircraft profile measurements – Non CO2 gases C. Sweeney1, A. Karion, D.W.Guenther1, S. E. Wolter1, D. Neff1, P.M. Lang2, M.J. Heller1, T. Conway2, E.J. Dlugokencky2, P. Novelli2, L. Bruhwiler2, A. Hirsch1, A. Jacobson1, J. Miller1 G. Petron1, S. Montzka2 and K.A. Masarie2 1CIRES, University of Colorado, Boulder, CO 2NOAA/ESRL, Boulder, CO

  2. SF6 CO Aircraft Data CO2 CH4 N2O

  3. Making Annual Climatology Making an Annual Climatology Original data Original data – detrended

  4. CO2

  5. West  East Transect THD CAR HAA NHA OIL • West coast sites lagged by one month • West coast show well mixed throughout column relative to east coast

  6. CO2

  7. The Arctic Footprint Free Troposphere Boundary Layer Courtesy of Adam Hirsch

  8. Arctic CO2/CH4 Correlation Residual of profile means show extremely good correlations in Arctic.

  9. CH4

  10. Boundary Layer Enhancementof CH4 Free Troposphere CMA NHA SCA HAA Boundary Layer • Significant enhancement in the boundary layer suggesting a year round flux

  11. N2O

  12. Midwest enhancement of N2O Midwest Sites CAR THD NHA • Significant enhancement of N2O in boundary layer in croplands of the Midwestern US Courtesy of Eric Kort (GEIA N2O fluxes)

  13. CO

  14. CH4

  15. PFA Arctic CO2/CO Correlation Residual s of profile means for CO2 and CO correlates well suggesting that large scale transport is driving winter time high.

  16. Boundary layer CO OIL NHA Free Troposphere CAR HAA OIL NHA CAR Boundary Layer HAA

  17. SF6

  18. N2O CO2 SF6 CO NHA HFM

  19. What do we do with the data?

  20. Kriging interpolation –850 mbar Crovoisier et al., in review

  21. Direct Carbon Budgeting Approach Exchanges with the upper atmosphere (convection, advection) Convection Edges Volume h Out Surface CO2 fluxes (Fsurf) Crovoisier et al., 2006 ? Observations aircrafts + towers.

  22. Crovoisier et al., in review

  23. Forward Model Surface flux (f)acting on transport (A) Concentration Inverse Model Background Measurement Regression of data c onto basis set A.

  24. Forward Model Foot print – one month Flux prior (GEIA) Courtesy of Eric Kort A Transport f Flux C’ Concentration anomally =

  25. Foot print – one month Flux prior (GEIA) Courtesy of Eric Kort Flux [CH4] Particle concentration (BL) F1 F2 FN Obs. (Flasks/profiles) C’ Fp A I = Regions Regions Regions

  26. Inversion Model for aircraft profiles using a LPDM Advantage: Monthly fluxes for each region Ability to use sparse measurement field by treating each profile as an independent observation assuming that monthly fluxes have not changed over the last 5 years. Evaluate spatial distribution of fluxes (region to region) Disadvantage Requires a background concentration It will be tricky to define regions that are truly independent. Number of regions will be limited by the limited number of profiles per month (10 profiles x 18 sites)

  27. Conclusions • The last 5 years of aircraft profiles not only tell us about transport but suggest distribution of many sources/sinks for CO2, CO, SF6, N2O and CH4. • The aircraft profiles offer an independent estimate of regional scale fluxes. • This is a new dataset which needs to be exercised by good science!

More Related