planetary boundary layer convective feedback in climate
play

Planetary Boundary Layer (Convective) Feedback in Climate Change - PowerPoint PPT Presentation

Planetary Boundary Layer (Convective) Feedback in Climate Change Igor N. Esau Outline Impact of vertical turbulent mixing in formation of Earth near surface climate Control parameters and integral measures of the vertical turbulent


  1. Planetary Boundary Layer (Convective) Feedback in Climate Change Igor N. Esau

  2. Outline • Impact of vertical turbulent mixing in formation of Earth near surface climate • Control parameters and integral measures of the vertical turbulent mixing • Sensitivity of earth’s climate to variability of the vertical turbulent mixing • Some instructive predictions following from the PBL-feedback

  3. Mechanisms of Equilibrium and Stationary PBL-feedback Manabe et al. 1960s discovered cooling effect of turbulent convection (by – 44 o K on earth’s surface), which transports heat (moisture, aerosols) above the optically thick atmosphere

  4. Mechanisms of Equilibrium but Non-stationary PBL-feedback Shallow mixing H Difficult to see in the Mean SAT atmosphere but easy in greenhouse experiment sunset sunrise sunset Deep mixing π 2 1 R ( t ) ∫ = dT dt ρ c H t ( ) p 0 dT

  5. Demonstration: PBL-feedback in Greenhouse • Greenhouse limits mixing (R. Wood, 1909), i.e. H, amplifying DTR and particularly maximum SAT • On average greenhouse is warmer than outside air • Strong irradiation during clear but windy nights can cause excessive cooling in the greenhouse

  6. Integral Measure of Turbulence • PBL-feedback could be integrally expressed through PBL thickness, H • Difficulty is that H depends on external, variable parameters Zilitinkevich, Esau, Baklanov, QJRMS 2007 Zilitinkevich 1991

  7. Verification of Theoretical Results (black line) versus LES (red) and SHEBA (blue)

  8. Statement • Given distribution of the radiative heat flux divergence in the absence of advection and changes in the atmospheric optical thickness produces higher (lower) surface temperatures in shallow (deep) PBL • The effect should be the most pronounced in stably stratified PBL as the relative variability dH/ H and c p ρ dH/ R are much larger in those PBL

  9. PBL-feedback in Stably Stratified Layers • Convection and its feedbacks were studied in details over last 40 years • Nocturnal and polar shear-driven PBL feedbacks were studied fragmentary • Impacts of several Surface sensible heat flux for December important governing 1959-1997 from NCEP/NCAR Reanalysis parameters were project. missing

  10. Correlation between H and T in wintertime Arctic Shallow PBL is colder

  11. PBL Depth: CHAMP versus ERA-40 Less sensitive – More sensitive • Convective layer thickness (PBL depth) as the altitude of minimum relative humidity gradient: left – by the CHAMP (GPS) satellite for all (87598) occultations during 2002-03, data is averaged over a 5 by 5 grid; right – by ERA40 ECMWF data (same time). Courtesy Engeln and Teixeira (2004; 2005)

  12. Physical Inconsistency of Models Too deep PBL – Reduced sensitivity • H is difficult to routinely determine (remote sensing) in the real atmosphere (ocean?) • In models, H is strongly inconsistent with theory, LES and field campaigns

  13. Insufficient Sensitivity of IPCC models • Rahmstorf et al. (Science, 2007) revealed insufficient sensitivity of the IPCC models relative to observed climate sensitivity

  14. Climate Sensitivity to PBL-feedback • PBL-feedback gives inverse climate sensitivity to mixing layer depth ( ) π π Ψ 2 2 dT 1 d R ( t ) / H ( t ) 1 d ∫ ∫ = = dt dt , ρ ρ dR c dR c dR p p 0 0 where Ψ  −  d 1 R dH ≡   1   dR H H dR

  15. H and Temperature Trend Temperature trends are larger in shallow PBL

  16. Global Climate Sensitivity to PBL-feedback in ERA40

  17. Predictive Signature of PBL-feedback • Where the PBL- feedback could be find? • Is there any distinct signatures of the PBL- feedback? • PBL-feedback relatively increases in shallow layers • Climate change in shallow PBL should be amplified

  18. Diurnal Temperature Range • Observed: Min T is increasing nearly 3 times as fast as the mean T • Result in decrease of DTR • Observed: Wintertime mean T increase nearly 2 times as fast as the annual averaged T

  19. Sensitivity to Lapse Rate from LES • Sensitivity to Lapse Rate depends on heat flux • Changes in surface T is not necessarily reflect direction of the global climate change

  20. Conclusions • Earth’s climate needs cooling • Cooling is regulated by PBL-feedback • PBL-feedback depends on limitations of the convective layer thickness • Limitations are strong • Stronger limitations makes climate more sensitive to shifts in radiation balance

  21. Auxiliary Materials To answer questions

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend