Near-real-time images are derived from gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave Imager/Sounder (SSMIS) passive microwave radiometer. The TBs are calculated for each 25 kilometer grid cell. An algorithm is applied to produce an estimate of melt or no melt present for each grid cell. The data, images, and graphs are produced daily.
Melt data are provided by Thomas Mote at University of Georgia, based on SSMIS data obtained from NSIDC, the Near-Real-Time DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperatures. You can read more about Mote’s data set and methods at his Web site, Greenland Daily Surface Melt 25km EASE-Grid 2.0 Climate Data Record.
Isolated areas of missing data occasionally occur in near-real-time data. The daily melt map shows any areas of missing data as dark gray regions, speckles, or spider web patterns. However, in the time series chart we account for the missing data by averaging the extent for that region from the day before and the day after the gap, a mathematical technique called interpolation.