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In this paper we present and characterize a nearest-neighbors color-matchingphotometric redshift estimator that features a direct relationship between theprecision and accuracy of the input magnitudes and the output photometricredshifts. This aspect makes our estimator an ideal tool for evaluating theimpact of changes to LSST survey parameters that affect the measurement errorsof the photometry, which is the main motivation of our work (i.e., it is notintended to provide the "best" photometric redshifts for LSST data). We showhow the photometric redshifts will improve with time over the 10-year LSSTsurvey and confirm that the nominal distribution of visits per filter providesthe most accurate photo-$z$ results. The LSST survey strategy naturallyproduces observations over a range of airmass, which offers the opportunity ofusing an SED- and $z$-dependent atmospheric affect on the observed photometryas a color-independent redshift indicator. We show that measuring this airmasseffect and including it as a prior has the potential to improve the photometricredshifts and can ameliorate extreme outliers, but that it will only beadequately measured for the brightest galaxies, which limits its overall impacton LSST photometric redshifts. We furthermore demonstrate how this airmasseffect can induce a bias in the photo-$z$ results, and caution against surveystrategies that prioritize high-airmass observations for the purpose ofimproving this prior. Ultimately, we intend for this work to serve as a guidefor the expectations and preparations of the LSST science community withregards to the minimum quality of photo-$z$ as the survey progresses.

Photometric Redshifts with the LSST: Evaluating Survey Observing Strategies