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Dr. David Crisp Dr. David Crisp (Jet Propulsion Laboratory/California Institute of (Jet Propulsion Laboratory/California Institute of Technology Dr. Victoria Meadows Technology Dr. Victoria Meadows (California Institute of Technology) (California Institute of Technology) Understanding the Remote- Sensing Signatures of Life in Disk-averaged Planetary Spectra: 2

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Understanding the Remote-Sensing Signatures of Life in Disk-averaged Planetary Spectra: 2. Dr. David Crisp (Jet Propulsion Laboratory/California Institute of Technology Dr. Victoria Meadows (California Institute of Technology). Rationale. - PowerPoint PPT Presentation

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Page 1: Dr. David Crisp

Dr. David Crisp Dr. David Crisp (Jet Propulsion Laboratory/California Institute of (Jet Propulsion Laboratory/California Institute of Technology Dr. Victoria Meadows Technology Dr. Victoria Meadows (California Institute of Technology) (California Institute of Technology)

Understanding the Remote-Sensing Signatures of Life in Disk-averaged

Planetary Spectra: 2

Page 2: Dr. David Crisp

Rationale• Understanding the origin and evolution of

terrestrial planets, and their plausible diversity, will help inform the search and characterization of extrasolar terrestrial planets. – The emphasis is not only on understanding the likely

planetary environments, but • Understanding their appearance to astronomical

instrumentation• Understanding whether they are able to support life

– As we search for habitable worlds, superEarths• Are likely to be the first extrasolar terrestrial planets that are

characterized • represent a class of terrestrial planet that may also support

life

– And this could all happen in our lifetimes!!

Page 3: Dr. David Crisp

?

Planetary Environmental Characteristics

• Is it a terrestrial planet? (Mass, brightness, color)• Is it in the Habitable Zone? (global energy balance?)

– Stellar Type - luminosity, spectrum

– Orbit radius, eccentricity, obliquity, rotation rate

• In general, moderate rotation rate, low obliquity and a near circular orbit stabilizes climate.

– Bolometric albedo – fraction of stellar flux absorbed

• Does it have an atmosphere?– Photometric variability (clouds, possibly surface)

– Greenhouse gases: CO2,H2O vapor present?

– UV shield (e.g. O3)?

– Surface pressure

– Clouds/aerosols

• What are its surface properties?– Presence of liquid water on the surface

• Surface pressure > 10 mbar, T> 273 K

– Land surface cover• Interior: What is the geothermal energy budget?

Page 4: Dr. David Crisp

Exploring Terrestrial Planet Environments

• Modern Earth– Observational and ground-measurement data

• Planets in our Solar System– Astronomical and robotic in situ data

• The Evolution of Earth– Geological record, models

• Extrasolar Terrestrial Planets– Models, validation against Solar System

planets including Earth.

Page 5: Dr. David Crisp

The Planet We Know and Love

G.

Chi

n G

SF

C

Page 6: Dr. David Crisp

Habitability Markers and Biosignatures in the MIR

•CO2 – atmosphere, greenhouse gas, vertical T structure, secondary indicator of possible UV shield. •H2O•SO2, OCS, H2S –volcanism, lack of surface water

Selsis et al., 2002; Tinetti, et al., 2005.

Potential Biosignatures: O3,CH4, N2O,SO2, DMS, CH3Cl, NH3, H2S

Page 7: Dr. David Crisp

The Earth at TPF Resolution

Page 8: Dr. David Crisp

Biomarkers at Visible Wavelengths

O2

H2OO4

O3

Changes in disk-averaged reflectivities with phase are due to clouds

Dat

a: W

oo

lf,

Tra

ub

an

d J

uck

s 20

01M

od

els:

Tin

etti

et

al.,

200

5

Page 9: Dr. David Crisp

The Photosynthetic Red Edge

Life Changes a Planet’s Surface

Harry LehtoHarry Lehto

Page 10: Dr. David Crisp

~40%

Vegetation in the diurnal cycleVegetation in the diurnal cycle

Earth, clear sky case Earth with cloudsEarth, clear sky case Earth with clouds

NDVI 0.045

Tinetti et al., 2005c

Page 11: Dr. David Crisp

NDVI at Dichotomy

Tin

etti

et a

l., s

ubm

itte

d, 2

00

5

The red-edge could be potentially observed even on a cloudy planet using filters. - but the “red” edge may shift for different plants and star types!

Page 12: Dr. David Crisp

Would need to be at significantly higher concentration than modern Earth

Biosignatures for Ocean Life

Tinetti et al., 2005b

Page 13: Dr. David Crisp

Exploring Terrestrial Planet Environments

• Modern Earth– Observational and ground-measurement data

• Planets in our Solar System– Astronomical and robotic in situ data

• The Evolution of Earth– Geological record, models

• Extrasolar Terrestrial Planets– Models, validation against Solar System

planets including Earth.

Page 14: Dr. David Crisp

Solar System Planets

Page 15: Dr. David Crisp

Origin of the Terrestrial Atmospheres

• Terrestrial planets did not capture their own atmospheres– Too small and warm– Our atmospheres are considered “secondary”

• Instead, terrestrials were enriched with impact delivered volatiles. – Water, methane, carbon dioxide and other

gases were trapped in the Earth’s interior rock

• Venus and Earth, forming relatively close together in the solar nebula, probably started with a similar inventory of volatiles.

Page 16: Dr. David Crisp

Terrestrial Planet Atmospheres

Nitrogen, N2

Oxygen, O2

Argon, Ar

Water Vapor, H2O

Carbon Dioxide, CO2

78

21

0.9

0.00001-4

0.036

Carbon Dioxide, CO2

Nitrogen, N2

Argon, Ar

Water Vapor, H2O

97

3

1.6 and 7x10-3

0.06 and 0.01

Earth – 1bar % Composition

Mars and Venus ~ 0.01 and 100 bars

Page 17: Dr. David Crisp

Thermal IR Spectra of Terrestrial Planets

crisp

Page 18: Dr. David Crisp

Venus’ Climate History

• Although Venus and Earth are believed to have started with the same amount of volatiles, they followed very different evolutionary paths.

• The early Venus may have been habitable with water oceans– Evidence of loss of water seen in the present

day D/H ratio• This water was most probably lost to

space via a “runaway greenhouse effect”– Venus’ closer proximity to the Sun increased

the amount of water vapor in its atmosphere, which enhanced the greenhouse effect in a positive feedback loop

– The water vapor was photolyzed, and the H lost to space

– Over billions of years, Venus may have lost an ocean of water this way (lower limit is a global ocean several meters deep).

Page 19: Dr. David Crisp

Mars’ Climate History• Mars may have had a much warmer

climate in its past– Geological evidence from erosion patterns

suggest that liquid water was stable on the surface. (picture)

• Warming was probably due to an enhanced greenhouse effect. – A CO2 atmosphere at 400 times present

density would work for the present Sun• Volcanism may have been a source of CO2

– However, the faint young Sun would require that Mars had an extra means of warming the surface.

• CH4 has been postulated as the missing greenhouse gas

• Source of CH4 for early Mars?

Page 20: Dr. David Crisp

Modeling Solar System Planets

Solar System planets offer diverse spectra for characterization.

Page 21: Dr. David Crisp

Solar System Planets at R~70

Earth

Venus

Titan

Neptune

H2O H2OCO2 CO2

H2O H2OH2O

CH4

IAUC200: Fortney and Marley, Tuesday, Session V

Page 22: Dr. David Crisp

Temporal Variability- Seasonal Changes

Seasonal changes are visible in the disk-averaged spectra

- As either changes in intensity or spectral shape

The ice cap is most detectable for : 10-13.5m, due to wavelength dependent emissivity of CO2 ice.

Tinetti, Meadows, Crisp, Fong, Velusamy, Snively, Astrobiology, 2005

Modern Mars

Frozen Mars

Page 23: Dr. David Crisp

Haze is thought toform from photolysis(and charged particleirradiation) of CH4

(Picture fromVoyager 2)

Titan’s Organic Haze Layer

Page 24: Dr. David Crisp

Titan Anti-greenhouse Effect

Pavlov et al., JGR (2001)

Page 25: Dr. David Crisp

Conclusions

• Our Solar System planets are a good starting point, but– terrestrial planets may be larger in the sample that

TPF finds. – terrestrial planets may exist in planetary systems very

unlike our own

• Modeling will be required to interpret the data returned from TPF-C, TPF-I and Darwin– To explore a wider diversity of planets than those in

our Solar System– To help interpret and constrain first order

characterization data