P J Young V Naik J Brandt R Doherty A M Fiore A Gaudel C Geels M I Hegglin L Hu U Im R Kumar M Lin A Luhar L Murray J Neu D ID: 512174
Download Presentation The PPT/PDF document "Tropospheric ozone in global models" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Slide1
Tropospheric ozone in global models
P. J. Young, V. Naik, J. Brandt, R. Doherty, A. M. Fiore, A Gaudel, C. Geels, M. I. Hegglin, L. Hu, U. Im, R. Kumar, M. Lin, A. Luhar, L. Murray, J. Neu, D. D. Parrish, D. Plummer, H. E. Rieder, J. Rodriguez, J. L. Schnell, M. Schultz, S. Tilmes, O. Wild, M. Woodhouse, G. Zeng, L. Zhang, J. Ziemke
TOAR Chapter 7
TOAR Beijing Workshop, Jan 2016Slide2
Chapter structure
IntroductionHistory and description of global models and assessmentsMethods of evaluating model performancePresent day ozone distribution (climatology)Extreme ozone pollution episodesSub-decadal scale ozone variabilityLong term ozone changesDrivers of model
biasesSummary and conclusionsSlide3
Chapter structure leads
IntroductionHistory and description of global models and assessmentsMethods of evaluating model performancePresent day ozone distribution (climatology)Extreme ozone pollution episodesSub-decadal scale ozone variabilityLong term ozone changesDrivers of model
biasesSummary and conclusions
Naik
and Young
Young
Wild?? Young and
Naik
Naik
and Young
Parrish
Neu
and Lin
Fiore, Schnell and
Reider
Naik
Young (with others)Slide4
New figures
Surf O3: ACCMIP bias plus correlation (currently Sofen data)Free trop: Frankfurt vertical distributionFree trop/col: IAV plot (maybe)Additional comparison: ongoing discussion with chapter 6Slide5
Discussion
General points around representativeness/suitability of comparisonsGeneral tightening requiredDrastic shortening of section 4Refocusing of sections 6 and 7Thinking about where STE fits (“events” vs variability)Slide6
See also
#endtheRainbow