Skip to main content

Advertisement

Log in

Climate stability and sensitivity in some simple conceptual models

  • Published:
Climate Dynamics Aims and scope Submit manuscript

Abstract

A theoretical investigation of climate stability and sensitivity is carried out using three simple linearized models based on the top-of-the-atmosphere energy budget. The simplest is the zero-dimensional model (ZDM) commonly used as a conceptual basis for climate sensitivity and feedback studies. The others are two-zone models with tropics and extratropics of equal area; in the first of these (Model A), the dynamical heat transport (DHT) between the zones is implicit, in the second (Model B) it is explicitly parameterized. It is found that the stability and sensitivity properties of the ZDM and Model A are very similar, both depending only on the global-mean radiative response coefficient and the global-mean forcing. The corresponding properties of Model B are more complex, depending asymmetrically on the separate tropical and extratropical values of these quantities, as well as on the DHT coefficient. Adopting Model B as a benchmark, conditions are found under which the validity of the ZDM and Model A as climate sensitivity models holds. It is shown that parameter ranges of physical interest exist for which such validity may not hold. The 2 × CO2 sensitivities of the simple models are studied and compared. Possible implications of the results for sensitivities derived from GCMs and palaeoclimate data are suggested. Sensitivities for more general scenarios that include negative forcing in the tropics (due to aerosols, inadvertent or geoengineered) are also studied. Some unexpected outcomes are found in this case. These include the possibility of a negative global-mean temperature response to a positive global-mean forcing, and vice versa.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Alexeev VA (2003) Sensitivity to CO2 doubling of an atmospheric GCM coupled to an oceanic mixed layer: a linear analysis. Clim Dyn 20:775–787

    Google Scholar 

  • Alexeev VA, Langen PL, Bates JR (2005) Polar amplification of surface warming on an aquaplanet in “ghost forcing” experiments without sea-ice feedbacks. Climate Dyn 24:655–666

    Article  Google Scholar 

  • Anderson TL, Charlson RJ, Schwartz SE, Knutti R, Boucher O, Rodhe H, Heintzenberg J (2003) Climate forcing by aerosols—a hazy picture. Science 300:1103–1104

    Article  Google Scholar 

  • Andrews T, Forster PM, Gregory JM (2009) A surface energy perspective on climate change. J Clim 22:2557–2570

    Article  Google Scholar 

  • Barkstrom BR (1984) The earth radiation budget experiment (ERBE). Bull Am Meteor Soc 65:1170–1185

    Article  Google Scholar 

  • Bates JR (1999) A dynamical stabilizer in the climate system: a mechanism suggested by a simple model. Tellus 51A:349–372

    Google Scholar 

  • Bates JR (2004) On climate stability, climate sensitivity and the dynamics of the enhanced greenhouse effect. In: Paleoclimate and the earth climate system. Proceedings of the Milutin Milankovitch anniversary symposium, Belgrade, September 2004, pp 27–46. Serbian Academy of Sciences. Also available at www.dclimate.gfy.ku.dk

  • Bates JR (2007) Some considerations of the concept of climate feedback. Quart J R Met Soc 133:545–560 (Erratum: p. 1071)

    Google Scholar 

  • Bony S et al (2006) How well do we understand and evaluate climate change feedback processes? J Clim 19:3445–3482

    Article  Google Scholar 

  • Budyko MI (1969) The effect of solar radiation variations on the climate of the Earth. Tellus 21:611–619

    Article  Google Scholar 

  • Cai M (2005) Dynamical amplification of polar warming. Geophys Res Lett 32:L22710, doi:10.1029/2005GL024481

  • Cai M (2006) Dynamical greenhouse-plus feedback and polar warming amplification. Part I: A dry radiative-transportive climate model. Clim Dyn, doi:10.1007/s00382-005-0104-6

  • Charney JG et al (1979) Carbon dioxide and climate: a scientific assessment. National Academy of Sciences, Washington, DC

    Google Scholar 

  • Chung E-S, Yeomans D, Soden BJ (2010) An assessment of climate feedback processes using satellite observations of clear-sky OLR. Geophys Res Lett 37:L02702, doi:10.1029/2009GL041889

  • Crutzen PJ (2006) Albedo enhancement by stratospheric sulfur injections: a contribution to resolve a policy dilemma. Clim Change 77:211–219

    Article  Google Scholar 

  • Forster PMD, Gregory JM (2006) The climate sensitivity and its components diagnosed from Earth radiation budget data. J Clim 19:39–52

    Article  Google Scholar 

  • Graversen RG, Mauritsen T, Tjernström M, Källen E, Svensson G (2008) Vertical structure of recent Arctic warming. Nature 541:53–56

    Article  Google Scholar 

  • Hansen J, Lacis A, Rind D, Russell G, Stone P, Fung I, Ruedy R, Lerner J (1984) Climate processes and climate sensitivity. Geophysical Monograph. Am Geophys Union 29:130–163

    Google Scholar 

  • Hansen J, Lacis A, Ruedy R, Sato M, Wilson H (1993) How sensitive is the world’s climate? Natl Geogr Res Explor 9:142–158

    Google Scholar 

  • Hansen J et al (2005) Earth’s energy imbalance: confirmation and implications. Science 308:1431–1435

    Article  Google Scholar 

  • Harvey LD (2000) Global warming: the hard science. Prentice Hall, London, 336 pp.

  • Hoffert MI, Covey C (1992) Deriving global climate sensitivity from palaeoclimate reconstructions. Nature 360:573–576

    Article  Google Scholar 

  • Holland MM, Bitz CM (2003) Polar amplification of climate change in coupled models. Clim Dyn 21:221–232

    Article  Google Scholar 

  • IPCC (2001) Climate change 2001: the scientific basis. In: Houghton JT et al (eds) Contribution of working group I to the third assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, 881 pp.

  • IPCC (2007) Climate change 2007: the physical science basis. In: Solomon S et al (eds) Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, 966 pp.

  • Langen PL, Alexeev VA (2007) Polar amplification as a preferred response in an idealized aquaplanet GCM. Clim Dyn 29:305–317

    Article  Google Scholar 

  • Lin B, Wong T, Wielicki BA, Hu Y-X (2005) Reply. J Climate 18:2128–2131

    Article  Google Scholar 

  • Lindzen RS (1990) Dynamics in atmospheric physics. Cambridge University Press, Cambridge, 310 pp.

  • Lindzen RS (1993) Palaeoclimate sensitivity. Nature 363:25–26

    Article  Google Scholar 

  • Lindzen RS, Choi Y-S (2009) On the determination of climate feedbacks from ERBE data. Geophys Res Lett 36:L16705, doi:10.1029/2009GL039628

  • Lindzen RS, Choi Y-S (2010) On the observational determination of climate sensitivity and its implications. Proc Natl Acad Sci (submitted)

  • Lindzen RS, Chou M-D, Hou AY (2001) Does the earth have an adaptive infrared iris? Bull Am Meteor Soc 82:417–432

    Article  Google Scholar 

  • North GR, Cahalan RF, Coakley JA (1981) Energy balance climate models. Rev Geophys Space Phys 19:91–121

    Article  Google Scholar 

  • NRC (2005) Radiative forcing of climate change. National Research Council, Washington, DC, 207 pp.

  • Pierrehumbert RT (2009) Principles of planetary climate. Available online at http://geosci.uchicago.edu/~rtp1/ClimateBook/ClimateBook.html

  • Ramanathan V (1981) The role of atmosphere-ocean interactions in the CO2 climate problem. J Atmos Sci 38:918–930

    Article  Google Scholar 

  • Ramanathan V, Carmichael G (2008) Global and regional climate changes due to black carbon. Nat Geosci 1:221–227

    Article  Google Scholar 

  • Ramanathan V, Crutzen PJ, Kiehl JT, Rosenfeld D (2001) Aerosols, climate and the hydrological cycle. Science 294:2119–2124

    Article  Google Scholar 

  • Rasch PJ, Crutzen PJ, Coleman DB (2008) Exploring the geoengineering of climate using stratospheric sulfate aerosols: the role of particle size. Geophys Res Lett 35:L02809, doi:10.1029/2007GL032179

  • Raval A, Oort AH, Ramaswamy V (1994) Observed dependence of outgoing longwave radiation on sea surface temperature and moisture. J Clim 7:807–821

    Article  Google Scholar 

  • Roe GH (2009) Feedbacks, timescales and seeing red. Annu Rev Earth Planet Sci 37:93–115

    Article  Google Scholar 

  • Schneider EK (1990) Linear diagnosis of stationary waves in a general circulation model. J Atmos Sci 47:2925–2952

    Article  Google Scholar 

  • Schwartz SE (2008) Reply to comments by G. Foster et al., R. Knutti et al., and N. Scafetta on “Heat capacity, time constant, and sensitivity of Earth’s climate system”. J Geophys Res 113:D15105, doi:10.1029/2008JD009872

  • Sellers WD (1969) A global climate model based on the energy balance of the earth-atmosphere system. J Appl Met 8:392–400

    Article  Google Scholar 

  • Trenberth KE, Fasullo JT, O’Dell T, Wong T (2010) Relationships between tropical sea surface temperature and top-of-atmosphere radiation. Geophys Res Lett 37:L03702, doi:10.1029/2009GL042314

  • Vallis GK, Farneti F (2009) Meridional energy transport in the coupled atmosphere-ocean system: scaling and numerical experiments. Q J R Meteorol Soc 135:1643–1660

    Article  Google Scholar 

  • Wallace JM, Hobbs PV (2006) Atmospheric science: an introductory survey, 2nd edn. Academic Press, London, 483 pp.

  • Wielicki BA et al (1998) Clouds and the Earth’s radiant energy system (CERES): algorithm overview. IEEE Trans Geosci Remote Sens 36:1127–1141

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. Ray Bates.

Appendices

Appendix 1: Symbols and abbreviations

\( \bar{x} \) :

global-mean value of x in the unperturbed equilibrium climate

\( x^{\prime} \) :

\( x - \bar{x} \)

a :

Earth’s radius (6,370 km)

AMIP:

Atmospheric Model Intercomparison Project

ASR:

absorbed solar radiation (by the earth-atmosphere system)

b :

unit-area TOA radiative response coefficient [≡\( - \{ d\left( {F_{\rm TOA}^{ \downarrow } } \right)/dT\} /4\pi a^{2} \)]

b 1 :

unit-area TOA radiative response coefficient in Zone 1 (the tropics) [≡ \( \{ - d\left( {F_{TOA}^{ \downarrow } } \right)_{1} /dT_{1} \} /2\pi a^{2} \)]

b 2 :

unit-area TOA radiative response coefficient in Zone 2 (the extratropics) [≡ \( \{ - d\left( {F_{\rm TOA}^{ \downarrow } } \right)_{2} /dT_{2} \} /2\pi a^{2} \)]

B99:

Bates (1999)

B07:

Bates (2007)

c O :

mixed-layer heat capacity per unit area

\( \hat{d} \) :

dynamical heat transport coefficient in Eq. (39)

d :

dynamical heat transport (DHT) coefficient \( \left\lfloor { \equiv \hat{d}/\left( {2\pi a^{2} } \right)} \right\rfloor\) [Eq. (40]

dFlux/dSST:

rate of change with increasing SST of total (LW + SW) outgoing radiation per unit area at TOA in the tropics

\( D \left[ { \equiv F_{E} + F_{\rm OH} } \right] \) :

dynamical heat transport (oceanic plus atmospheric) from Zone 1 to Zone 2

DHT:

dynamical heat transport (D)

\( \tilde{D}^{\prime} \) :

\( D^{\prime}/2\pi a^{2} \)

\( \tilde{D}^{\prime}_{A} \) :

\( \tilde{D}^{\prime} \) for Model A

\( \tilde{D}^{\prime}_{B} \) :

\( \tilde{D}^{\prime} \) for Model B

E :

average heat content of the land-ocean system per unit area

E 1,2 :

average heat content of the land-ocean system per unit area in Zone (1,2)

ERBE:

Earth Radiation Budget Experiment

F OH :

heat transport by ocean currents from Zone 1 to Zone 2

F E :

transport of moist static energy by atmospheric motions from Zone 1 to Zone 2

\( F_{\rm SFC}^{ \downarrow } \) :

net downward global energy flux at the surface

\( F_{\rm TOA} {}^{ \downarrow } \) :

net downward global energy flux at TOA

\( \left( {F_{\rm SFC}^{ \downarrow } } \right)_{1,2} \) :

value of \( F_{\rm SFC}^{ \downarrow } \) in Zone (1,2)

\( \left( {F_{\rm TOA}^{ \downarrow } } \right)_{1,2} \) :

value of \( F_{\rm TOA}^{ \downarrow } \) in Zone (1,2)

GCM:

general circulation model

GHG:

greenhouse gas

LCH01:

Lindzen et al. (2001)

LC09:

Lindzen and Choi (2009)

LC10:

Lindzen and Choi (2010)

LW:

longwave

OLR:

outgoing LW radiation (at TOA)

PW:

petawatt (1015 W)

\( Q^{\prime} \) :

global-mean external (perturbation) forcing per unit area

\( Q^{\prime}_{1,2} \) :

global-mean external (perturbation) forcing per unit area in Zone (1,2)

R :

characteristic rate of decay of an impulsively forced perturbation in the ZDM or Model A

RH:

relative humidity

R F,S :

fast and slow characteristic rates of decay of an impulsively forced perturbation in Model B

S :

b 1 + b 2

\( S_{1} \equiv c_{O} (R_{F} + R_{S}) \) :

\( b_{1} + {\text{b}}_{ 2} + 2 {\text{d }} \) [Eq. (43) and Appendix 2]

\( S_{2} \equiv c_{O}^{2} R_{F} R_{S} \) :

\( b_{1} b_{2} + d(b_{1} + b_{2} ) \) [Eq. (44) and Appendix 2]

SST:

sea surface temperature

SW:

shortwave

t :

time

TOA:

top-of-the-atmosphere

T :

globally averaged surface temperature [=\( \left( {T_{1} + T_{2} } \right)/2 \)]

T 1 :

average surface temperature in Zone 1 (the tropics)

T 2 :

average temperature in Zone 2 (the extratropics)

ZDM:

zero-dimensional model

ΔD :

\( D^{\prime}(\infty ) \) = equilibrium value of perturbation DHT

\( \Updelta \tilde{D} \) :

\( \Updelta D/(2\pi a^{2} ) \)

\( \Updelta \tilde{D}_{A} \) :

\( \Updelta \tilde{D} \) for Model A

\( \Updelta \tilde{D}_{B} \) :

\( \Updelta \tilde{D} \) for Model B

ΔQ :

global-mean TOA forcing per unit area in the ZDM (used as the amplitude of an impulsive or step-function forcing)

ΔQ 1,2 :

mean forcing per unit area in Zone (1,2) of the two-zone models (used as the amplitude of an impulsive or step-function forcing)

\( \left( {\Updelta Q_{1} } \right)_{C} \) :

critical value of ∆Q 1 separating Sensitivity Regions I and II (Fig. 2)

ΔT :

equilibrium temperature increment for a step-function external forcing in the ZDM

ΔT A :

equilibrium temperature increment for a step-function external forcing in Model A

ΔT B :

equilibrium global-mean temperature increment for a step-function external forcing in Model B \( [\equiv\left( {\Updelta T_{1} + \Updelta T_{2} } \right)/2] \)

ΔT 1 :

\( T^{\prime}_{1} (\infty ) \) (Model B)

ΔT 2 :

\( T^{\prime}_{2} (\infty ) \) (Model B)

Appendix 2: Solution to Model B for impulsive forcing

To obtain the solution to the perturbation equations (41) and (42) of Model B, it is convenient to rewrite them in the form

$$ c_{O} {\frac{{dT_{1}^{\prime } }}{dt}} = - \alpha_{1} T_{1}^{\prime } - \alpha_{2} T_{2}^{\prime } + Q_{1}^{\prime } $$
(70)
$$ c_{O} {\frac{{dT_{2}^{\prime } }}{dt}} = - \alpha_{3} T_{1}^{\prime } - \alpha_{4} T_{2}^{\prime } + Q_{2}^{\prime } $$
(71)

where

$$ \left( {\alpha_{1} ,\alpha_{2} ,\alpha_{3} ,\alpha_{4} } \right) = \left( {b_{1} + d, - d, - d,b_{2} + d} \right) $$
(72)

These equations are of the same form as those governing the TOA models considered in B99 and B07. Their solution for the impulsive forcing (29) (see B07 for details) is

$$ T_{1}^{\prime } = {\frac{1}{{c_{O}^{2} \left( {R_{F} - R_{S} } \right)}}}\left[ {\left\{ {\left( {c_{O} R_{F} - \alpha_{4} } \right)\Updelta Q_{1} + \alpha_{2} \Updelta Q_{2} } \right\}\exp \left( { - R_{F} t} \right) - \left\{ {\left( {c_{O} R_{S} - \alpha_{4} } \right)\Updelta Q_{1} + \alpha_{2} \Updelta Q_{2} } \right\}\exp \left( { - R_{S} t} \right)} \right] $$
(73)
$$ T_{2}^{\prime } = {\frac{1}{{c_{O}^{2} \left( {R_{F} - R_{S} } \right)}}}\left[ {\left\{ {\left( {c_{O} R_{F} - \alpha_{1} } \right)\Updelta Q_{2} + \alpha_{3} \Updelta Q_{1} } \right\}\exp \left( { - R_{F} t} \right) - \left\{ {\left( {c_{O} R_{S} - \alpha_{1} } \right)\Updelta Q_{2} + \alpha_{3} \Updelta Q_{1} } \right\}\exp \left( { - R_{S} t} \right)} \right] $$
(74)

where the characteristic rates of decay, R F and R S , are given by

$$ R_{F} = {\frac{1}{{c_{O} }}}\;{\frac{{\alpha_{1} + \alpha_{4} }}{2}}\left( {1 + \sqrt {1 - x} } \right) $$
(75)
$$ R_{S} = {\frac{1}{{c_{O} }}}\;{\frac{{\alpha_{1} + \alpha_{4} }}{2}}\left( {1 - \sqrt {1 - x} } \right) $$
(76)

with

$$ x = 4{\frac{{\alpha_{1} \alpha_{4} - \alpha_{2} \alpha_{3} }}{{\left( {\alpha_{1} + \alpha_{4} } \right)^{2} }}} $$
(77)

The above solution satisfies the initial condition \( \left( {T_{1}^{\prime } ,T_{2}^{\prime } } \right) = \left( {\Updelta Q_{1} ,\Updelta Q_{2} } \right)/c_{O} \) at t = 0+, and it can easily be verified by substitution that it satisfies the governing equations (70) and (71) for t > 0.

The conditions for global stability of Model B are that the real parts of RF and RS be positive. These conditions are satisfied if

$$ S_{1} \equiv c_{O} (R_{F} + R_{S} ) = \alpha_{1} + \alpha_{4} > 0 $$
(78)

and

$$ S_{2} \equiv c_{O}^{2} R_{F} R_{S} = \alpha_{1} \alpha_{4} - \alpha_{2} \alpha_{3} > 0 $$
(79)

Using (72), these criteria can be rewritten in the forms (43) and (44).

Appendix 3: Local instability in both zones implies global instability of Model B

We show here that if Model B is locally unstable in both zones (i.e., b 1 < 0 and b 2 < 0), the global stability criteria S 1 > 0 and S 2 > 0 cannot both be satisfied.

Using (43), we see that under the conditions assumed, satisfying S 1 > 0 requires

$$ d > {\frac{{\left| {b_{1} } \right| + \left| {b_{2} } \right|}}{2}} $$
(80)

Using (44), we see that, under the same conditions, satisfying S2 > 0 requires

$$ d < {\frac{{\left| {b_{1} } \right|\left| {b_{2} } \right|}}{{\left| {b_{1} } \right| + \left| {b_{2} } \right|}}} $$
(81)

The inequalities (80) and (81) can be satisfied simultaneously only if

$$ {\frac{{\left| {b_{1} } \right| + \left| {b_{2} } \right|}}{2}} < {\frac{{\left| {b_{1} } \right|\left| {b_{2} } \right|}}{{\left| {b_{1} } \right| + \left| {b_{2} } \right|}}} $$
(82)

i.e., only if

$$ \left| {b_{1} } \right|^{2} + \left| {b_{2} } \right|^{2} < 0 $$
(83)

It is impossible to satisfy this condition when b 1 < 0 and b 2 < 0. Thus, it is impossible to satisfy both of the stability criteria S 1 > 0 and S 2 > 0 under these conditions and the model must be globally unstable.

Appendix 4: Conditions determining the sign of ∆T B in sensitivity Regions II and III

To specify the conditions determining the sign of ∆T B in Regions II and III more precisely, we rewrite (50) in the form

$$ \Updelta T_{B} = \left( {{\frac{{b_{2} + 2d}}{{2S_{2} }}}} \right)\left[ {\left( {\Updelta Q_{1} + \Updelta Q_{2} } \right) - \mu } \right] $$
(84)

where

$$ \mu \equiv \left( {{\frac{{b_{2} - b_{1} }}{{b_{2} + 2d}}}} \right)\Updelta Q_{2} $$
(85)

4.1 (a) Sensitivity Region II

Here, ∆Q 1 is defined to lie in the range (58) and, as already noted, this implies ∆Q 1 + ∆Q 2 > 0. From (84) and (85) it is clear that the conditions for ∆T B  > 0 are then

$$ b_{1} > b_{2} $$
(86)

or

$$ b_{1} < b_{2}\quad \text{and} \quad \Updelta Q_{1} + \Updelta Q_{2} > \mu $$
(87)

If (86) is satisfied, ∆T B  > 0 throughout Region II. If (87) is satisfied, Region II is divided into two sub-regions, the crossover point between them being defined by

$$ \Updelta Q_{1} + \Updelta Q_{2} = \mu $$
(88)

In the sub-region to the left, ∆T B  < 0, while in the sub-region to the right, ∆T B  > 0. We have already seen [from (55)] that if b 1 is assigned values approaching its lower limit for global stability (in which case \( S_{2} \to 0_{ + } \)), \( \Updelta T_{B} \to -\infty \) throughout Region II; in this case the crossover point defined by (88) approaches the right boundary of Sensitivity Region II.

4.2 (b) Sensitivity Region III

Here, ∆Q 1 is defined to lie in the range (59) and, as already noted, this implies ∆Q 1 + ∆Q 2 < 0. In this case, we see from (84) and (85) that ∆T B  > 0 only if

$$ b_{1} > b_{2}\; \text{and}\; \left| {\Updelta Q_{1} + \Updelta Q_{2} } \right| < \left| \mu \right| $$
(89)

If (89) is satisfied, ∆T B  > 0 in a small sub-region of Region III adjoining its right boundary, with ∆T B  < 0 elsewhere in the region. If (89) is not satisfied, ∆T B  < 0 everywhere in Region III.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bates, J.R. Climate stability and sensitivity in some simple conceptual models. Clim Dyn 38, 455–473 (2012). https://doi.org/10.1007/s00382-010-0966-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00382-010-0966-0

Keywords

Navigation