A synoptic climatology of Greenland surface ice-melt events is constructed using ERA5 reanalysis data at 0.25° resolution for the April–October 1979–2019 time period. The ERA5 reanalysis data are regridded to 1° resolution to render the data compatible with the SOMs algorithm used in this study. Greenland surface ice-melt events are defined as days during the aforementioned time period where the Greenland surface melt extent is at or above the 90th percentile compared to climatology according to the National Snow and Ice Data Center. 500-hPa geopotential height and SLP data for days where the Greenland surface ice-melt event criterion is met are entered into the SOMs algorithm. The averaged 500-hPa geopotential height and SLP are calculated for each node produced by the SOMs algorithm over a Greenland domain. The SOMs algorithm identifies three main types of synoptic flow patterns during Greenland surface ice-melt events: 1) A strong ridge over Greenland, 2) a positively tilted trough upstream of Greenland, and 3) a strong negatively tilted trough upstream of Greenland. An initial result of this study is that major Greenland summer ice-melt events occur in conjunction with strong ridges over Greenland, while major spring and autumn ice-melt events occur in conjunction with strong negatively tilted troughs upstream of Greenland.