Monitoring Climate Change from Space

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Monitoring Climate Change from Space Richard Allan Department of Meteorology, University of Reading

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Monitoring Climate Change from Space. Richard Allan Department of Meteorology, University of Reading. Why Monitor Earth’s Climate from Space?. Global Spectrum Current Detection Understanding Prediction. The problem. IPCC: www.ipcc.ch/ipccreports/ar4-wg1.htm. - PowerPoint PPT Presentation

Transcript of Monitoring Climate Change from Space

Page 1: Monitoring Climate Change from Space

Monitoring Climate Change from Space

Richard AllanDepartment of Meteorology, University of Reading

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Why Monitor Earth’s Climate from Space?

• Global• Spectrum• Current• Detection• Understanding• Prediction

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The problem...

IPCC: www.ipcc.ch/ipccreports/ar4-wg1.htm

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Absorbed Solar or Shortwave Radiation (S/4)(1-α)

Thermal/Infra-red or Outgoing Longwave Radiation (OLR)=σTe

4

πr2S

Earth’s Radiation balance in space4πr2

• There is a balance between the absorbed sunlight and the thermal/longwave cooling of the planet:

(S/4)(1-α) ≈ σTe4

• How does it balance? Why is the Earth’s average temperature about 15oC? e.g. Lacis et al. (2010) Science

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Earth’s global annual average energy balance

240 Wm-2 240 Wm-2

390 Wm-2

Surface Temperature = +15oC

Solar Thermal

Efficiency ~61.5%

Radiating Efficiency, or the inverse of the Greenhouse Effect, is strongly determined by water vapour absorption across the electromagnetic spectrum

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Now double CO2 or reduce suns output: a “radiative forcing”

240 Wm-2 236 Wm-2

390 Wm-2

Surface Temperature = +15oC

Solar Thermal: less cooling to space

Efficiency ~60.5%

Radiative cooling to space through longwave emission drops by about 4 Wm-2 resulting in a radiative imbalance

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The climate system responds by warming

240 Wm-2 236 Wm-2

390 Wm-2

Surface Temperature = +15oC

Solar > Thermal

Efficiency ~60.5%Heating

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240 Wm-2 240 Wm-2

397 Wm-2

Surface Temperature = +16oC

Solar = Thermal

Efficiency ~60.5%

The 2xCO2 increased temperature by about 1oC in this simple example. So what’s to worry about?

The climate system responds by warming

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But it’s not that simple…

IPCC (2007)

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Climate forcing and feedback : a natural experiment

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29/3/06 11.05am

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29/3/06 12.26pm

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• Clouds affect radiation fluxes• Radiation fluxes affect clouds

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Temperature

Additional surface heating

Reduced reflection of suns rays

Melting ice and snow

CO2

Feedback loops or “vicious circles” amplify or diminish initial heating or cooling tendencies e.g. Ice “albedo” Feedback

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One of the strongest positive amplifying feedbacks involves gaseous water vapour

CO2

Greenhouse effect

Net Heating

Temperature

Water vapour

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Cloud Feedback: a complex problem

• Clouds cool the present climate

• Will clouds amplify or reduce future warming?

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Monitoring Climate From Space

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file:///C:/Documents%20and%20Settings/Richard%20Allan/My%20Documents/CONTED/ANIMATIONS/200603_60min_DUST.mov

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IRIS/IMG spectra: Harries et al. 2001, Nature

CO2 O3

CH4

Satellite measurements (1970, 1997) confirm the effect of increasing greenhouse gases

1/wavelengthSt

rong

er g

reen

hous

e e

ffect

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Monitoring Natural forcings: The Sun

See also: http://www.pmodwrc.ch/pmod.php?topic=tsi/composite/SolarConstant

0.1

0.2

0.0

Implied changes in global tem

peratureACRIM/VIRGO

Lean (2000) Y.Wang (2005)

IPCC WG1 2.7.1 (p.188-193)

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Monitoring Sea level

Coastal tide gaugesRecontructed (proxy)Satellite altimetry

IPCC 2007 Fig. 5.13 (p. 410)

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Current rises in global sea level

Research by Rahmstorf et al. (2007) Science, 4 May

Is sea level rising faster than projections made by numerical climate simulations?

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Monitoring sea surface

temperature

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Monitoring Land Ice From Space

Right: NASA's ICE-Sat satellite - Ice, Cloud and land Elevation Satellite

Above: results from Gravity Recovery And Climate Experiment (GRACE) mission

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NSIDC : http://nsidc.org/news

Arctic sea ice: recovery from 2007 minimum but robust downward trends in extent since 1979 measured by SSM/I satellite instruments

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Remote sensing clouds and aerosol Remote sensing clouds and aerosol from space: Cloudsat and CALIPSOfrom space: Cloudsat and CALIPSO

Cloudsat radar

CALIPSO lidar

Target classificationInsectsAerosolRainSupercooled liquid cloudWarm liquid cloudIce and supercooled liquidIceClearNo ice/rain but possibly liquidGround

Work by Dr. Julien Delanoë and Prof. Robin Hogan, University of Reading

• Radar: ~D6, detects large particles (e.g. ice)

• Lidar: ~D2, more sensitive to thin cirrus, low-level liquid clouds and aerosol pollutants but signal is attenuated

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How will the water cycle change?

Work by Dr. Ed Hawkins and Prof. Rowan Sutton, University of Reading

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Trenberth et al., work published in the Bulletin of the American Meteorological Society (2009) and Intergovernmental Panel on Climate Change (2007)

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Physical basis: water vapour

• Physics: Clausius-Clapeyron • Low-level water vapour concentrations increase with atmospheric

warming at about 7%/K – Wentz and Shabel (2000) Nature; Raval and Ramanathan (1989) Nature

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Extreme Precipitation

• Large-scale rainfall events fuelled by moisture convergence– e.g. Trenberth et al. (2003) BAMS

Intensification of rainfall (~7%/K?)

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Allen and Ingram (2002) Nature

Global Precipitation is constrained by energy balance

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Changing character of rainfall events

Pre

cipi

tatio

n

Heavy rain follows moisture (~7%/K)

Mean Precipitation linked to

radiation balance (~3%/K)

Light Precipitation (-?%/K)

Temperature

See discussion in Trenberth et al. (2003) Bulletin of the American Meteorological Society

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• Increased Precipitation• More Intense Rainfall• More droughts• Wet regions get wetter, dry

regions get drier?• Regional projections??

Precipitation Change (%)

Climate model projections (see IPCC 2007)

Precipitation Intensity

Dry Days

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Pre

cip.

(%

)

Allan and Soden (2008) Science

Using microwave measurements from satellite to monitor the water cycle

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The rich get richer…

Allan et al. (2010) Environmental Research Letters

Dry

Wet

Pre

cipi

tatio

n ch

ange

(%

)

ObservationsModels

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Conclusions

• Earth’s radiative energy balance drives climate change• It also provides a rich spectrum of information

Monitoring and detecting climate change Understanding physical processes Enabling and evaluating prediction

• Challenges... Clouds & Aerosol Precipitation Regional impacts

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Earth’s global average energy balance: no atmosphere

240 Wm-2 240 Wm-2

240 Wm-2

Surface Temperature = -18oC

Solar Thermal

Efficiency = 100%

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240 Wm-2

240 Wm-2

Temperatures rise

Solar > Thermal

Heating

Earth’s global average energy balance: add atmosphere

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Earth’s global average energy balance: present day

240 Wm-2 240 Wm-2

390 Wm-2

Surface Temperature = +15oC

Solar Thermal

Efficiency ~60%

The greenhouse effect helps to explain why our planet isn’t frozen. How does it work?

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