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Clouds are ubiquitous in extrasolar planet atmospheres and are critical toour understanding of planetary climate and chemistry. They also represent oneof the greater challenges to overcome when trying to interpret transittransmission spectra of exoplanet atmospheres as their presence can inhibitprecise constraints on atmospheric composition and thermal properties. In thiswork we take a phenomenological approach towards understanding 1) our abilityto constrain bulk cloud properties, and 2) the impact of clouds on constrainingvarious atmospheric properties as obtained through transmission spectroscopywith the \textit{James Webb Space Telescope (JWST)}. We do this by exploringretrievals of atmospheric and cloud properties for a generic "hot-Jupiter" as afunction of signal-to-noise ratio (SNR), \textit{JWST} observing modes and fourdifferent cloud parameterizations. We find that most key atmospheric and cloudinferences can be well constrained in the wavelength range ($\lambda = $ 0.6 -11 $\mu$m), with NIRCam ($\lambda =$ 2.5 - 5 $\mu$m) being critical ininferring atmospheric properties and NIRISS + MIRI ($\lambda =$ 0.6 - 2.5, 5 -11 $\mu$m) being necessary for good constraints on cloud parameters. However,constraining the cloud abundance and therefore the total cloud mass requires anobservable cloud base in the transit geometry. While higher SNR observationscan place tighter constraints on major parameters such as temperature,metallicity and cloud sedimentation, they are unable to eliminate strongdegeneracies among cloud parameters. Our investigation of a generic"warm-Neptune" with photochemical haze parameterization also shows promisingresults in constraining atmospheric and haze properties in the coolertemperature regime.

Exploring Exoplanet Cloud Assumptions in \textit{JWST} Transmission Spectra