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As the majority of fossil fuel carbon dioxide (CO₂) emissions originate from cities, the use of novel techniques to leverage available satellite observations of CO₂and proxy species to constrain urban CO₂is of great importance. In this study, we seek to empirically determine relationships between satellite observations of CO₂and the proxy species nitrogen dioxide (NO₂), applying these relationships to NO₂fields to generate NO₂‐derived CO₂fields (NDCFs) from which CO₂emissions can be estimated. We first establish this method using simulations of CO₂and NO₂for the cities of Buenos Aires, Melbourne, and Mexico City, finding that the method is viable throughout the year. For the same three cities, we next calculate empirical relationships (slopes) between co‐located observations of NO₂from the Tropospheric Monitoring Instrument and Snapshot Area Mode observations of CO₂from Orbiting Carbon Observatory‐3. Applying varying combinations of slopes to generate NDCFs, we evaluate methodological uncertainties for each slope application method and use a simple mass balance method to estimate CO₂emissions from NDCFs. We demonstrate monthly urban CO₂emissions estimates that are comparable to emissions inventory estimates. We additionally prove the utility of our method by demonstrating how large uncertainties at a grid cell level (equivalent to ∼1–3 ppm) can be reduced substantially when aggregating emissions estimates from NDCFs generated from all NO₂swaths (about 1%–6%). Rather than rely on prior knowledge of emission ratios, our method circumvents such assumptions and provides a valuable observational constraint on urban CO₂emissions.