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One approach uses exoplanet transmission spectra. Three aerosol signatures are:

A second approach uses the dayside spectrum and brightness obtained with exoplanet secondary eclipses, optionally supported by orbital phase variations. Its three useful aerosol signatures are:

Transmission measures aerosol extinction along the limb; eclipse/reflection measurements test dayside scattering and emission. No single flattened feature proves clouds: small atmospheric scale height, low molecular abundances, stellar heterogeneity and thermal-gradient degeneracies must be considered. Joint wavelength coverage and geometries make the inference stronger.

Assume that the optical continuum is dominated by Rayleigh scattering by particles much smaller than the wavelength, and that their column abundance is fixed. Their cross-section, hence the slant optical depth, scales as ${\tau }_{\lambda }\propto {\lambda }^{-4}$. Differentiating the annulus model for transmission spectroscopy exactly gives the logarithmic slope of total transit depthFor $A\ge 0$ and $B>0$, the slope lies between $-4$ and zero, but generally depends on wavelength. In the optically thin limit, ${\delta }_{\lambda }\simeq A+B{\tau }_{\lambda }$, so its slope is $-4B{\tau }_{\lambda }/(A+B{\tau }_{\lambda })$. It vanishes as the atmospheric signal becomes negligible compared with the opaque disc; it also approaches zero in the saturated optically thick limit.

The familiar value $m\simeq -4$ applies to the optically thin atmospheric excess,or formally to a model in which $A$ is negligible. For an ordinary thin exoplanet atmosphere, however, $B/A\simeq 2H/R_p\ll 1$, so neglecting the opaque planetary baseline in the total transit depth is not usually justified. A universal $m=-4$ for the logarithm of the total transit depth does not follow from the stated model.

In a stratified isothermal atmosphere, the related scattering slope of a transmission spectrum is instead $d{R}_{\mathrm{tr}}/d\ln \lambda =-4h$, obtained by moving the effective tangent level to keep its slant optical depth of order unity. Consequently $d\ln \delta /d\ln \lambda =-8h/R_{\mathrm{tr}}$ there. The radius slope, atmospheric-excess slope and total-depth slope are different observables.

In the annulus model for transmission spectroscopy, an added aerosol optical depth changes the signal to $A[1-e^{-({\tau }_{\mathrm{gas}}+{\tau }_{\mathrm{aerosol}})}]$. Large particles can supply nearly wavelength-independent extinction. An opaque high exoplanet cloud deck then masks deeper gas, flattens the optical exoplanet transmission spectrum, and weakens atomic or molecular features.

Small particles can instead produce a rising transit radius toward short wavelengths. In an isothermal atmosphere, the slant optical depth of an isothermal atmosphere isTaking the effective radius near ${\tau }_{\lambda }\sim 1$ gives $z(\lambda )=H\log {\sigma }_{\lambda }+\mathrm{constant}$. For Rayleigh scattering, ${\sigma }_{\lambda }\propto {\lambda }^{-4}$, so the scattering slope of a transmission spectrum isA steeper-than-expected optical slope or suppressed gas features can therefore indicate atmospheric haze or exoplanet clouds. These signatures are not unique: high mean molecular mass reduces $H$, gas itself can produce Rayleigh scattering, and stellar surface heterogeneity can mimic slopes. Consistent optical and infrared features help distinguish these explanations.

First refine the ephemeris, planetary mass, stellar radius, and stellar variability using exoplanet transit photometry and the radial-velocity method. Then combine observations that probe different regions rather than relying on one spectrum. A present-day programme could use the following complementary measurements; in the 2019 setting of the paper, James Webb Space Telescope observations would have been a future capability.

Together these address aerosols, molecular composition, elemental enrichment, vertical thermal structure, horizontal heat transport, winds, and escape. Repeat key events and monitor stellar activity, since stellar contamination and instrumental trends can imitate atmospheric signals. Use actual brightness, saturation limits, and predicted feature amplitudes to choose observing modes and exposure times.

The wavelength ranges and time-series capabilities are documented in the NIRISS SOSS guide, NIRSpec overview, MIRI spectroscopy guide, and ESO's CRIRES description.

Where the spectral components vanish, $a=(R_p/R_{\ast }{)}^2$, soFor extinction cross-section $\sigma \propto {\lambda }^{\gamma }$, the scattering slope of a transmission spectrum obeysSince $y=(R_p/R_{\ast }{)}^2$,After subtracting the Gaussian feature, the model gives $dy/d\log \lambda =\gamma c(\lambda /{\lambda }_1{)}^{\gamma }$. At $\lambda ={\lambda }_1$,or, with $g=G{M}_p/R_p^2$, $T=\bar{m}G{M}_{p}c{R}_{\ast }^2/(2k_B{R}_p^3)$. This estimates the mean isothermal terminator temperature under hydrostatic conditions.

For an isothermal thin atmosphere with number density $n(z)=n_0{e}^{-z/H}$ and extinction cross-section ${\sigma }_{\lambda }$, a tangent ray near radius $R_p+z$ has height $z+{\ell }^2/(2R_p)$ at distance $\ell$ along the ray. The resulting Gaussian integral gives slant optical depthThe effective transit height is near ${\tau }_{\lambda }\sim 1$, so $z(\lambda )=H\log {\sigma }_{\lambda }+\mathrm{constant}$ if composition is constant. This explains the scattering slope of a transmission spectrum.