(Bio)Signatures of Planet Earth from (Spectro)Polarimetry - Michael Sterzik, European Southern Observatory Stefano Bagnulo, Armagh Observatory
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(Bio)Signatures of Planet Earth from (Spectro)Polarimetry Michael Sterzik, European Southern Observatory Stefano Bagnulo, Armagh Observatory
a b c ‘ Holds Life? Which World d e f Polarimetry will help. Talk by Fossati Poster B4 by Bagnulo Poster B18 by Miles-Paez
322 BAILEY Polarimetric Signatures of Planet Earth occurring at the minimum scattering angle, and this occurs at: x0 ! !"((4 " n2)/3) (2) On Venus, the liquid is sulfuric acid (about 75% H2SO4 to 25% H2O) with a refractive index of 1.44 (Hansen and Hovenier, 1974), whereas on Titan, it is liquid methane at a temperature of #100K, which has a refractive index of 1.29 (Badoz et al., rainbow polarization For water, the resulting scattering angle is about 1992). 139° (for blue light), which gives a rainbow with The light of the rainbow is highly polarized in a semivertex angle of 41° about the anti-solar a direction perpendicular to the scattering plane. point. Light that internally reflects twice inside a This arises because the angle of incidence within droplet gives a secondary rainbow at a scattering the drop is close to the Brewster angle, at which angle of about 128°. The region between the pri- light with parallel polarization is fully transmit- mary and secondary rainbows is dark (Alexan- ted, but light with perpendicular polarization is der’s dark band), but some light is scattered into partially reflected. For water, the primary rain- angles inside the primary rainbow and outside bow has a polarization of about 96% and the sec- the secondary rainbow. ondary rainbow about 90% for large droplets Figure 1 shows the variation of primary rain- (Adam, 2002). bow scattering angle with refractive index de- rived from Eqs. 1 and 2. This variation of scat- Rainbows in Lorenz-Mie theory tering angle with refractive index gives rise to the familiar colors of the rainbow since the refractive The familiar brightly colored rainbows arise index of water varies from about 1.344 at 400 nm from water droplets with a size of 1 mm or larger. to 1.329 at 800 nm, which gives a range of scat- However, the rainbow scattering phenomenon tering angles from 139.5° to 137.4°. It also means persists for much smaller droplets. As the drop- that different scattering liquids will give rise to lets become smaller, diffraction effects broaden different rainbow angles. Liquid droplet clouds, the scattering peak (as a function of scattering an- and probably rain, are known to occur in the at- gle), and this means that rainbows from small mospheres of Venus and Titan as well as Earth. droplets (fogbows or cloudbows) no longer show distinct colors. Nevertheless, there is still a strong, highly polarized scattering peak at the primary rainbow angle. It is the ability to observe rainbow scattering from cloud droplets that makes rain- bow scattering a feasible technique for studying Venus extrasolar planets. The rainbow scattering from small particles can be best studied using Lorenz-Mie scattering the- ory. To investigate the rainbow properties, I have Earth carried out a series of calculations of the normal- ized scattering matrix Fij (Mishchenko et al., 2002, Eq. 4.51) for a size distribution of spherical Titan droplets. The calculations used the code of Mishchenko et al. (2002, section 5.10). The size dis- tribution of spherical droplets is specified using the power-law distribution of Hansen and Travis (1974): n(r) ! $ constant # r"3, r1 $ r $ r2, 0, otherwise (3) As described by Mishchenko et al. (1997), the val- FIG. 1. Primary rainbow scattering angle as a function ues of r1 and r2 can be expressed in terms of the of refractive index, as determined by the ray optics ap- cross-section-area weighted effective radius reff Hansen, J. E. & Hovenier, J. W. Interpretation of the polarization of Venus. Journal of Atmospheric Science 31, 1137–1160 (1974). proximation. The rainbow angles are indicated (at a Bréon, F. M. & Goloub, P. Cloud droplet effective radius from spaceborne wavelength ofpolarization 400 nm) for measurements. andresearch Geophysical three substances known to effectiveletters variance eff. 25, !1879–1882 (1998). Bailey, J. Rainbows, Polarization, and the Search for Habitable form liquid Astrobiology Planets. droplet clouds 7, in 320–332 the solar system: (2007). liquid The components of the normalized scattering methane (Titan), water (Earth), and sulfuric acid (Venus). matrix describe the intensity and polarization of
Polarimetric Signatures of Planet Earth – 27 – pure ocean surface pure land surface no clouds clouds Phase Angle Phase Angle McCullough, P. R. Models of Polarized Light from Oceans and Atmospheres of Earth-like Extrasolar Planets. arXiv astro-ph, (2006). Williams, D. M. & Gaidos, E. Detecting the glint of starlight on the oceans of distant planets. Icarus 195, 927–937 (2008).
996 Models of the Earth’s Polarization D. M. Stam: Spectropolarimetry of Earth-like exoplanets 0.25 1.0 Degree of polarization Ps 1.0 0.0 0.20 0.8 0.15 0.6 VRT calc. include Flux F 0.1 Fig. 3. The flux F (left) and the degree of 0.10 0.4 0.4 Rayleigh linear polarization P (right) of starlight re- flected by model planets with clear atmo- s phase angle 0.2 spheres and isotropically reflecting, com- 0.05 pletely depolarizing surfaces as functions 0.0 0.0 1.0 of the wavelength, for various values of 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 0.0, 0.1, 0.2, 0.4,ocean 0.00 the (wavelength independent) surface albedo: 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 0.8, and 1.0. The planetary Wavelength λ (in µm) Wavelength λof(in D. M. Stam: Spectropolarimetry µm) exoplanets Earth-like phase angle α is 90 . 999 ◦ 0.25 1.0 clouds (quadrature) is 1.0relatively high (provided there is an observable 0.0 absorption of light in the “vegetation” Fig.Huggins 7. The wavelength band of Odependent decreases (left) F the Degree of polarization Ps 3 exoplanet). 0.20 0.8 amount ocean and P light, of multiple scattered (right)which of starlight thathas usually sis reflected a lowerby clear and cloudy horizontally homogeneous Each curve in Fig. 3 can be thought of as consisting of acleardegree of polarization than the singly-scattered light. In gen- model planets with surfaces covered by de- continuum 0.15 cloudy with superimposed high-spectral resolution 0.6 features. eral, with increasing atmospheric work in progress absorption optical thickness, Flux F ciduous forest (thin solid lines) and a specu- The continua of the flux and polarization curves are determined Ps will tend towards thelar forest degree of polarization reflecting of light ocean (thin dashed singly- lines). Note by0.10 the scattering of light by gaseous molecules in the atmosphere0.4 cloudy scattered by the atmospheric constituents that the (for these lines pertaining to Psmodel of the plan- cloudy and by the surface albedo. The high-spectral resolution features ets: only gaseous molecules), are0.05 clear due to the absorption of light by the gases O0.2 3 , O2 , and H2 O single-scattering angle Θfrom inhomogenities andeach whicharedepends atmospheres thusother. on the virtuallystrongly Forplanetary comparison, phase on the indistinguishable we an- have (see below). 0.0 Note that the strength and shape of the absorption 0.00 depend on the spectral resolution (0.001 0.0 bands 0.3calculations. 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.0 0.3 0.4 0.5 0.6 gle α. From Fig. 1b, it can µm) of the nu- 90◦ , Ps of light singly-scattered 0.7This 0.8explains realistic clouds alsobe seen that included planets with 0.9 1.0the high 1.0 (thick the at by surface a scattering spectra gaseousalbedos solid equal is molecules angle of the clear of model to about 0.0 and merical 0.95. values oflines), Ps at shown before in the shortest Fig. 3. wave- Wavelength (in µm) Wavelength (in µm) In the total flux curves (Fig. 3a), the contribution of light lengths in Fig. 3b. WithThe aerosols/haze planetarywavelength, increasing scattered by atmospheric molecules is greatest around 0.34 µm: multiple-scattered light decreases, simply because of the de- phase angle isthe ◦ 90 amount . of at shorter be observed Huggins wavelengths, on the absorption moon’s band, light and is absorbed nightside. at longer by O3 in the Interestingly, wavelengths, the the so-called reflection amount by chlorophyll leaves a much stronger signature in Ps than in F, the last fact, the crease in the atmospheric singly-scattered Consequently, P Stam, D. M. Spectropolarimetric signatures of Earth-like extrasolar planets. A&A 482, 989–1007 (2008) by of the realistic surfaces molecular gaseous planet with scattering molecules the (see black optical Fig. 1b). surface s continuum P of the cloudy planets is neg- thickness. Thanks to increases of starlight that is scattered by the atmospheric molecules de- with wavelength, to approach itss single-scattering value at the
1957SAnAp...4 195 Early Polarimetry of Planet Earth 1957SAnAp...4....3D Difficult! fractional Polarization [‰] Phase Angle Wavelength dependency Moon surface depolarization Dollfus, A. Étude des planètes par la polarisation de leur lumière. Supplements aux Annales d'Astrophysique 4, 3–114 (1957).
Spectropolarimetry of Earthshine with FORS@VLT Sterzik, M. F., Bagnulo, S. & Pallé, E. Biosignatures as revealed by spectropolarimetry of Earthshine. Nature 483, 64–66 (2012).
Spectropolarimetry of ES: Observing Date 25-Apr-2011:UT09 10-Jun-2011:UT01 View of Earth as seen from the Moon 12 Sun-Earth-Moon phase 87 deg 102 deg ocean fraction in Earthshine 18% 46% vegetation fraction in 7% 3% Earthshine tundra, shrub, ice and desert 3% 1% fraction in Earthshine total cloud fraction in 72% 50% Earthshine cloud fraction t > 6 42% 27%
10-Jun-2011:UT01 25 1.0 10 % vegetation does NOT fit ! 20 PU=U/I 0.5 fraction of polarization PQ [%] 15 P [%] 0.0 10 5 −0.5 0 −1.0 500 600 700 800 900 wavelength [nm]
25-Apr-2011:UT09 25 1.0 12 % vegetation DOES fit ! 20 0.5 fraction of polarization PQ [%] 15 P [%] 0.0 10 5 −0.5 0 −1.0 500 600 700 800 900 wavelength [nm]
More (Spectro-)Polarimetry A.No. 2] Bazzon Earthshine et al.: Measurement of the earthshine Polarization polarization in theSpectra B, V, R, and I band as function of phase A. Bazzon et al.: Measurement of the earthshine polarization in the B, V, R, and I band as function of phase 38-5 of ES Unfortunately it is not clear whether they measured the back- scattering from maria or highlands. Sterzik et al. (2012) attribute the polarization differences between the two epochs mainly to in- trinsic differences of the polarization of Earth because the earth- shine stems from different surface areas and were taken for days with different cloud coverage. Considering our polarization val- ues for highlands and maria then it could be possible that the differences measured by Sterzik et al. (2012) are at least partly due to the mare/highland depolarization difference (or surface albedo difference). A&A 562, Another spectra-polarimetric observation of the earthshine was published by Takahashi et al. (2013). They also find a rise 18 This work of the fractional polarization of the earthshine towards the blue 16 Sterzik et al. 2012 but with a much flatter slope. Unfortunately they do not re- 14 Bazzon et al. 2013: highlands Bazzon et al. 2013: maria port whether their results were obtained from maria or high- 12 2 H O lands either. Therefore, only a qualitative comparison with our 10 p* (%) data can be made. The observations of Takahashi et al. (2013) 8 2 O 2 HO 2 O H2O are conducted at 5 consecutive nights and cover phase angles 6 H2O α = 49◦ − 96◦ . In the blue they find that the maximum polariza- 4 tion is reached at α ≈ 90◦ . However, for wavelengths > 600 nm 2 the polarization keeps increasing up to and including their last 0 measurement at α = 96◦ . They conclude that the phase with 0.3 0.6 0.9 1.2 1.5 1.8 2.1 the highest fractional polarization αmax is shifted towards larger Wavelength (µm) phase angles which could be explained by an increasing con- Fig. 3. Our visible and NIR spectropolarimetric measurements of the tribution of the Earth surface reflection. In our data we do earthshine not compared to literature data. A 10-pixel binning was applied A. Bazzon et al.: Measurement of the earthshine polarization see this in the shift B, but V, R, neither and I band can we as function exclude itof phase because we were not Fig. 7. Fractional polarization Q/I and U/I of the earthshine measured for highland (top) and mare regions (bottom) for the four to the NIR spectrum of region B. The uncertainty per wavelength is plot- different filters B, V, R and I (left to right). The solid curves are qmax sin2 fits to the data. able Thetoerror derive bars meaningful give the statistical data 1σ due to the very strong stray light ted as vertical gray error bars. Wavelengths of strong telluric absorption Unfortunately it is and not clear whether Miles-Páez, P. Some A., Pallé, E. & Zapatero Osorio, M. R. noise ∆noise of the data whereas the mare I band data at phase angle 109.5◦ are additionally from affected by a substantial the moonshine systematic the weak signalthey from measured thehave the earthshine. back- been removed. molecular species seen in “emission” (in- offset ∆syst > 0.5 %. The dots in the V panel for the mare region indicate the measurementsscattering of Dollfus (1957)from and maria or a correspondinghighlands. Sterzik et al. (2012) attribute dicativeSimultaneous of strong optical and atmospheric fluxnear-infrared absorption and linear less multiscattering qmax sin2 fit (dashed line) is also given. In this regime our linear extrapolation method to subtract the the polarization mainlyprocesses spectropolarimetry occurring at those of particular the earthshine. A&A 562, wavelengths) L5 (2014). are labeled. The background stray differences light from between the earthshine the two epochs signal introduces toa in- trinsicsystematic strong differences of the polarization overestimate ∆syst of the of Earth result because (see Sect. vertical the4.2). earth- dashed line separates the ALFOSC and LIRIS data. and the estimated statistical 1σ uncertainties of the individual also support phase curves qmax sin p (α). She calculates polariza- data points ∆noise . The mare V band panel shows also the mea- tion phase curves assuming shine Takahashi stems a range of from etsurface al. (2013) different types (e.g.also surface use forest- areas a linear and were taken extrapolation method forto days surements by Dollfus (1957) which are in good agreement with covered areas with Lambertian with different determine cloud the earthshine reflection, dark oceancoverage. with spec- Considering polarization our polarization but unfortunately they doval- We compare our measurements with data from the literature our data. ular reflection) and cloud ues for coverages.highlands We find and that themaria broad then not describe their data reduction in detail. Therefore, consider- it could be possible that the in Fig. 3. To improve the quality of the NIR linear polarization Our earthshine data show a very good correlation between shape of her model phase curves can be well fitted by curves p differences ing the polarization taken simultaneously for the highland and mare ∼ qmax sin (α + α0 ) with p ≈ 1.5 − 3 and α0 ≈ 0 − 10 . the measured limitations of ◦ our ◦by Sterzik linear et al. extrapolation, (2012) it are could at least be partly spectrum of region B, we applied a ten-pixel binning in degree possi- regions. Independent of color filter and phase angle the polariza- Furthermore, she finds duethat ble to the the shift characteristic mare/highland of αatmax features lowreporteddepolarization phase by Takahashi difference et al. (2013) the is spectral dimension. Overlaid in Fig. 3 are the optical p∗ val- (or surface ◦ tion for the mare region is a factor of 1.30 ± 0.01 higher than for angles due to the rainbow due albedoto thedifference). effect strong and negative stray light atatphase angles > 90 . polarization ues obtained at a spectral resolution of 3 nm and for two sep- the highland region as illustrated in Figure 8. large phase angles due to second order scattering. We cannot Good correlations are also found between different colors assess the presence of such features Overall, Another the because spectral spectra-polarimetric of the coarse phase dependence of the polarization observation of the earthshine arated of dates by Sterzik et al. (2012), and the broadband filter taken for the same observing date. When we plot the polariza- sampling of our data. Sterzik et al. (2012) was published and Takahashi by Takahashi et al.et(2013). al. (2013) They also findmeasurements is qualitatively a rise of Moon highlands and maria made by Bazzon tion (Q/I)es in the V, R and I band versus the polarization in the Besides the qmax sin 2 similar of the to (α) curve our measurements we also fractional tried functions polarization withbutofthe thelevel and slope earthshine of the the towards et blue frac- al. (2013) for a Sun-Earth-Moon phase angle similar to ours. Fig. B band 13. (Fig.Top:we Earthshine 9)A., find that the H. polarization ratios M.are&independent results at quadrature ofMeasurement αE . We more free for parameters to fit the data, e.g. using a curve like get maria Bazzon, the ratios Schmid, 0.72highlands ± 0.02, 0.49 (+). (∗) earthshine and ± 0.02The Gisler, D. and thin0.28 ±lines0.05 for givethetheqmax of sin p (α et Sterzik + αal. but with a much flatter slope. Unfortunately they do not optical tional polarization 0 ) and varying the exponent p between values differ quantitatively. Because Sterzik etAll al. re- data display a qualitatively similar pattern (previously the polarization in the B, V, R, and I band ratios of the polarization between V and B band, R and B band, of 1.5-3 and by introducing (2012) spectro-polarimetry for we waning (dashed) and(a)–(e) waxing (2012) port andshift Takahashi, whether a phase Takahashi αJ. . et ı0their However, Phase et al.results al. such(2013) Variation were fits 10 (60ı ), our provide obtained noEarthshine of information from March 11 (72ı ), March 12 (84ı ), and ordiscussed), maria about high- but they differ quantitatively in the amount of polar- and asBfunction I and ofFig. band respectively. 3. phase Polarization Therefore, . arXiv spectra concludeof Earthshine. that astro-ph.EP, to Panels (2013). provide not are a results from March the significantly ◦ bars signify standard deviation in thelands lunar better 09 (! =to49the surface Polarization match either. ), March albedo Spectra. data. Therefore, for Because is shownonly their Publicationsmeasuring a qualitative of area the and comparison do not ization withas- our per wavelength and the spectral slope. The spectral slope (dotted) first moon order we at Earth can assume the phases March same13 (96 shape87◦forand ı ), respectively. the 102 Errorrespectively polarization data cover and the predominantly observed phase sets. Noaround angles error barquadrature in (a) because theJapan only one effective set was Takahashi phase curve foretallal. obtained. Panel (f) is a (2013) spectro-polarimetry (dash-dot) wavelengths. plot of results for all the dates. shape of at Derived 96 the phase ı sess spectra ◦ curvedata . are the stray Astronomical binned is not can by 3 light nm (5 effects pixels) be constrained. very well made. ı The observations of Takahashi et al. (2013) et al. (2012) and Bazzon et al. (2013) data is steeper Society to from obtain of a the better bright S=N 65, moonshine 38 ratio. (2013). The results their from of results Sterzik
MYSTIC 3D-vec. rad. transfer n be rth- ther brief section about Monte Carlo method with polarization Fig. 2. Example calculation for a simulation of the earth as seen by and- Emde et al. (2010) the moon for a homogeneous atmosphere for a phase angle of 0°. ob- fully spherical geometry ans- w/ C. Emde (Monte Carlo code for the phYSically correct Tracing of photons In Cloudy atmospheres) ount oud face and ma- ible ence hod due the ice dge ons. ap- for met- 4 C. Emde et al.: Spectropolarimetric signatures of Earth-like planets om- T in Emde, C., Buras, R., Mayer, B. & Fig. 1.M.Example Blumthaler, calculation The impact of aerosols for a simulation of the earth as seen Fig. 3. Example calculation for a simulation of the earth as seen by by the moon. on polarized Surface sky radiance: albedo is taken from ECHAM model and the model development, validation, and the moon for a homogeneous atmosphere for a phase angle of 90°. simulation is done without applications. Atmos. Chem. Phys. 10, atmosphere. The phase angle is 80°. 383–396–396 (2010). Emde, C., Buras, R. & Mayer, B. An 40 show image of simulation for geometry of 25 April 2011, efficient method to compute high include clouds, atmosphere, aerosol spectral resolution polarized solar radiances using the Monte ALIS Emde et al. (2011) show spectrum for example Carlo approach. Journal of above Quantitative Spectroscopy and Radiative Transfer 112, 1622– REPTRAN Gasteiger et al. (2014) 1631 (2011).
MYSTIC 3D-vec. rad. transfer Fig. 7. Wavelength dependent flux F , polarization difference Q and degree of polarization P . The solid lines show MYSTIC calculations and the error bars correspond to the standard deviation. A Lambertian surface albedo of 0 is assumed. The aerosol mixtures have been defined according to Hess et al. (1998); Emde et al. (2010). Fig. 8. Same as Fig. 7 but for a green surface.
towards 3D-vec. rad. transfer 8 C. Emde et al.: Spectropolarimetric signatures of Earth-like planets Fig. 9. Sensitivity on cirrus cloud top height. The geometrical thickness of the cloud layer is 1 km. The optical thickness of the cloud at 550 nm is 2 and a general habit mixture as in Baum et al. (2005) is assumed. The underlying surface albedo is 0. Fig. 9. Sensitivity on cirrus cloud top height. The geometrical thickness of the cloud layer is 1 km. The optical thickness of the cloud at 550 nm is 2 and a general habit mixture as in Baum et al. (2005) is assumed. The underlying surface albedo is 0. Fig. 10. Sensitivity on cirrus optical thickness. The cloud layer is placed at 10km–11km altitude. A general habit mixture as in Baum et al. (2005) is assumed. The underlying surface albedo is 0.
Spectro-Polarimetry of Planet Earth through Earthshine (+) robust tool to retrieve integrated surface and atmospheric properties (+) sensitive on biosignatures (VRE, O2, H2O) (-) restricted phase coverage (-) improve lunar depolarisation models (-) improve Earth VRT atmosphere/surface/haze modeling (-) long shot towards biosignatures on exo-planets… (+) SP of Planet Earth can constrain the design of future exo-Life machines
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