Planetary Boundary Layer (Convective) Feedback in Climate Change - - PowerPoint PPT Presentation
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
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
- f the vertical turbulent mixing
- Some instructive predictions following
from the PBL-feedback
Mechanisms of Equilibrium and Stationary PBL-feedback
Manabe et al. 1960s discovered cooling effect of turbulent convection (by – 44oK on earth’s surface), which transports heat (moisture, aerosols) above the optically thick atmosphere
Mechanisms of Equilibrium but Non-stationary PBL-feedback
∫
=
π
ρ
2
) ( ) ( 1 dt t H t R c dT
p
sunset sunset sunrise Mean SAT Deep mixing Shallow mixing
dT H
Difficult to see in the atmosphere but easy in greenhouse experiment
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
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
Verification of Theoretical Results (black line) versus LES (red) and SHEBA (blue)
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 cp ρ dH/ R are much larger in those PBL
PBL-feedback in Stably Stratified Layers
- Convection and its
feedbacks were studied in details
- ver last 40 years
- Nocturnal and polar
shear-driven PBL feedbacks were studied fragmentary
- Impacts of several
important governing parameters were missing
Surface sensible heat flux for December 1959-1997 from NCEP/NCAR Reanalysis project.
Correlation between H and T in wintertime Arctic
Shallow PBL is colder
PBL Depth: CHAMP versus ERA-40
- 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)
Less sensitive – More sensitive
Physical Inconsistency of Models
- 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
Too deep PBL – Reduced sensitivity
Insufficient Sensitivity of IPCC models
- Rahmstorf et al. (Science, 2007) revealed
insufficient sensitivity of the IPCC models relative to observed climate sensitivity
Climate Sensitivity to PBL-feedback
- PBL-feedback gives inverse climate
sensitivity to mixing layer depth
( )
− ≡ Ψ Ψ = =
∫ ∫
dR dH H R H dR d where dt dR d c dt dR t H t R d c dR dT
p p
1 1 , 1 ) ( / ) ( 1
2 2 π π
ρ ρ
H and Temperature Trend
Temperature trends are larger in shallow PBL
Global Climate Sensitivity to PBL-feedback in ERA40
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
Diurnal Temperature Range
- Observed: Min T is
increasing nearly 3 times as fast as the mean T
- Result in decrease
- f DTR
- Observed:
Wintertime mean T increase nearly 2 times as fast as the annual averaged T
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
Conclusions
- Earth’s climate needs cooling
- Cooling is regulated by PBL-feedback
- PBL-feedback depends on limitations
- f the convective layer thickness
- Limitations are strong
- Stronger limitations makes climate