The Met Office Projecting Future Sea Level (ProFSea) tool requires several input datasets, which are provided here and described below:

1. Coupled Model Intercomparison Project Phase 5 (CMIP5) model timeseries of global thermosteric sea level (zostoga) and spatial fields of ocean dynamic sea level (zos) on a regular 1 x 1 latitude-longitude grid.

2. UKCP18 CMIP5 slope coefficients calculated between local sterodynamic component of sea level (zostoga + zos) and global thermosteric sea level (zostoga).

3. A 450,000-member Monte Carlo simulation is produced for each RCP scenario that forms the basis of both the global mean sea level and local mean sea level projections. Essentially a Monte Carlo can be defined as a method that makes random draws from an underlying distribution multiple times to build up a distribution of the combined uncertainties. For details of the methods used for each component see Section 3 of Palmer et al. (2020).

4a. UKCP18 estimates of the effect of glacial isostatic adjustment (GIA) on relative sea level change developed for the NERC BRITICE-CHRONO project (Sarah Bradley, pers. Comm.; UKCP18 Marine Report).

4b. Estimates of the effect of GIA on relative sea level based on two of the three global estimates used in Palmer et al (2020). The first is based on the ICE‐5G (VM2 L90) model (Peltier, 2004). The other is from the Australian National University based on an update of Nakada and Lambeck (1988) in 2004-2005 (Slangen et al., 2014). These are gridded fields with global coverage.

5. The Gravity, Rotation and Deformation (GRD) estimates for each of the barystatic components: (i) Antarctic surface mass balance, (ii) Antarctic ice dynamics, (iii) Greenland surface mass balance, (iv) Greenland ice dynamics, (v) worldwide glaciers, and (vi) changes in land water storage. For details of the different estimates see Section 2.4 of Palmer et al (2020). These are gridded fields with global coverage.