Radiation and Climate Change

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Radiation and Climate Change Earth s Energy Balance Forcing and Feedback Implications for climate change including the global water cycle Introduction / Motivations Past societies e.g. Jared Diamond: Collapse Impacts on an already stressed world Driver: Earth s radiative energy balance How much change? Forcings and feedbacks Complexity of the climate systems Need for models 1

How do we predict climate change? Need to know what processes are important for determining the present day and past climate change FORCINGS (e.g. solar output) FEEDBACKS (e.g. ice-albedo) How will forcings change in the future? Will ocean/atmosphere/land processes amplify or retard this forcing of climate? What are implications for the global water cycle? Earth s Radiation balance S πr 2 4πr 2 Thermal/Infra-red or Outgoing Longwave Radiation (OLR)=σT e 4 Absorbed Solar or Shortwave Radiation (S/4)(1-α) There is a balance between the absorbed sunlight and the thermal/longwave cooling of the planet The Driving Force for Climate (S/4)(1-α) OLR = σt e 4 OLR= (S 1361 Wm -2, α~0.3) T e = (σ=5.67x10-8 Wm -2 K -4 ) 2

Top of Atmosphere Radiative Energy Fluxes CERES/TERRA, September 2004 Top of Atmosphere Radiative Energy Fluxes CERES/TERRA, September 2004 3

Top of Atmosphere Radiative Energy Fluxes CERES/TERRA, September 2004 Zonal Mean Radiative Fluxes 4

Forcing or feedback? 1) Climate forcing, feedback or response? 2) Positive or negative? Solar output Water vapour Volcanic eruptions Carbon Dioxide (CO 2 ) Cloudiness Rainfall Chlorofluorocarbons (CFCs) Sulphate Aerosol Sea Ice Nitrogen (N 2 ) Radiative Forcing of Climate since 1750 Cooling Warming +Volcanos: variable 5

A Simple Climate Model ΔR = ΔQ + YΔT s Net top of atmosphere radiation Radiative forcing Climate feedback parameter (Wm -2 K -1 ) surface temperature ΔQ = YΔT s At equilibrium The climate sensitivity parameter, λ=1/y (units: K/Wm -2 ) Climate Feedback Parameter (Y) 2 dr R R x R x y Y... dt T x T x y T 2 s x x y s s s Black body feedback A Simple Climate Model x denotes feedback variable, e.g. cloud, water vapour, ice-albedo, etc. Non-linear effects are ignored. Sometimes referred to as the no feedback or black body response Bony et al. (2006) J Clim - they use λ instead of Y for Climate Feedback Parameter 6

An example of feedback: ice-albedo CO 2 Melting ice and snow Temperature Additional surface heating Reduced reflection of suns rays Water vapour Feedback CO 2 Water vapour Temperature Net Heating Greenhouse effect 7

Atmospheric Moisture Rises with Warming in Climate Models and as detected by Satellite Observations Simulation reproduces water vapour feedback response to Pinatubo volcanic eruption Soden et al. (2002) Science 8

What about liquid and frozen water in the atmosphere? Most of the water in the atmosphere is gaseous vapour clouds are the tip of the iceberg water vapour with attitude Strong interaction with longwave and shortwave radiation (emission, absorption, scattering) Many types of cloud feedbacks are plausible 9

Contrasting radiative effects of cloud Day Night Solar Shading Dominates: Cooling Greenhouse Effect Dominates: Warming High clouds Strong greenhouse effect Low clouds weak greenhouse effect How will cloud properties respond to warming? Will they amplify or diminish warming? How are cloud height, water content, ice content, droplet sizes, thickness, duration, time of occurrence, expected to vary? 10

Feedback Parameter, Y (Wm -2 /K) Cloud feedback: a more complex problem Depends on: Type of cloud Height of cloud Time of day/year Surface characteristics Non-trivial relationship between cloud and temperature Response of cloud to warming is uncertain Uncertainty in strength of cloud feedback Total range Range of cloud feedback Cloud Surface reflection Water vapour and T- lapse rate ALL After Soden and Held (2006) J. Climate (left) and Hawkins & Sutton (2010) Bull. Americ. Meteorol. Soc. (right) 11

Implications for the Water Cycle The radiative and thermodynamic impact of water vapour is central to some of the most important processes for determining climate change including the response of the global water cycle Radiative-convective equilibrium If we assume that only radiative processes are operating, the equilibrium surface temperature is very high, tropospheric temperatures very low and the profile is strongly superadiabatic*. In reality, convection removes heat from the surface, warms the atmosphere and adjusts the lapse-rate towards that observed #. From the classic paper by Manabe and Wetherald, JAS, 1967 * # 12

Trenberth et al. (2009) BAMS How should global precipitation change in a warming world? Complex climate models Allen and Ingram (2002) Nature 13

Precipitation response depends upon radiation: forcing and the feedback Andrews et al. (2009) J Climate Partitioning of energy between atmosphere and surface is crucial to the hydrological response Conclusions Radiative Forcing drives climate Radiative feedbacks determine response of climate to a forcing (climate sensitivity) We will explore this further in the activity! Radiative-convective balance an important constraint upon future changes in the water cycle crucial for human societies and the ecosystems upon which they depend 14