BRICK is a semi-empirical model for global and local mean sea-level change (Wong et al., 2017). The core model includes component sub-models for the major contributors to global mean sea-level change - glaciers and ice caps, thermal expansion, land water storage, and the Greenland and Antarctic ice sheets. The resulting global mean sea levels can be downscaled via a data set that represents the “fingerprint” of each sea-level component on local mean sea level (Slangen et al., 2014). In this way, BRICK provides information about local sea-level changes, including characterizations of key uncertainties. BRICK is flexible and efficient enough to resolve high-risk upper tails of probability distributions. BRICK has been used in a number of recent assessments, including for examining the impacts of sea-level rise as a constraint on estimates of climate sensitivity (Vega-Westhoff et al., 2018), estimates of deep uncertainty in coastal flood risk (Ruckert et al., 2019), and most recently was noted in comparisons of sea-level projections in the Sixth Assessment Report of the IPCC (Fox-Kemper et al., 2021).

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