Surface melting is the primary reason that affects the mass balance of Greenland ice sheet. At the same time, ice and snow have high albedo, and ice sheet surface melting will cause the difference of radiation energy budget, and then affects the energy exchange between sea-land-air. The high-resolution ice sheet surface melting product provides important information support for the study of Greenland ice sheet surface melting and its response to global climate change. This dataset combined microwave radiometer product and optical albedo product, the daily, winter (June-August) averages and July averages of the former are used for layer-stacking, then Gram-Schmidt Spectral Sharpening was adapted to fuse the layer-stacking results with MODIS GLASS albedo product. The spatial resolution of fusion-results has been downscaled from 25 km to 0.05˚. By employing a threshold-based melt detection approach for each fusion-results pixel, Greenland ice sheet surface melt daily product for 1985, 2000, 2015 (DSSMIS) was generated. The spatial resolution of DSSMIS is higher than that of published data sets at home and abroad. Combined with the advantages of radiometer and albedo data, the spatial details characteristics are enhanced and consistent with the extraction range of the original radiometer products, effectively reducing the noise of the radiometer. DSSMIS’s data type is integer, where 1 is melted, 0 is not melted, 255 is masked area besides Greenland ice sheet, and the data set is stored as *.nc.

File naming and required software

File name: the surface melting data is stored in NC format. The file name is "antarcticcdailysurfacemeltyyyy-yyyy. NC", where yyyy-yyyy represents the year. For example, ‘antarcticcdailysurfacemelt1985-1986.nc’ represents the NC file, which describes the surface melting range of the Antarctic ice sheet from July 1, 1985 to June 30, 1986. The NC file contains four variables: melt and polar_ Stereographic, x and y, respectively represent the melting pixel value, coordinate system information, X coordinate and Y coordinate in the projection coordinate system.

Data reading method: all NC files in the dataset can be directly read by panoply program （https://www.giss.nasa.gov/tools/panoply/download/ ）, select the variable melt , create the XY coordinate axis corresponding to the variable x and variable y for browsing, and change the time to browse the melting range of different dates. If you want to save it as a separate picture for display or analysis, you can use the "multidimensional tool - create NetCDF grid layer" tool in ArcGIS program to process the results and generate a file in TIF format, including the melting range of all days in the corresponding year. You can change the display time by opening "enable time in this layer" in the "attribute - time" tab. In addition, you can also select GDAL, NCO, CDO and other tools to open NC files or convert them to other formats.

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Cite as:

Wei, S. (2021). Greenland ice sheet surface melting 0.05 ˚ Daily data sets (1985, 2000, 2015). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.271849. CSTR: 18406.11.Cryos.tpdc.271849. (Download the reference： RIS | Bibtex )

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References literature

1.Wang, L., Sharp, M., Rivard, B., & Steffen, K. (2007). Melt season duration and ice layer formation on the greenland ice sheet, 2000–2004. Journal of Geophysical Research Atmospheres, 112(F4), -. (View Details | Download )

2.Ashcraft, I.S., & Long, D.G. (2006). Comparison of methods for melt detection over greenland using active and passive microwave measurements. International Journal of Remote Sensing, 27(12/14), 2469-2488. (View Details | Download )

3.Mote, T.L., Anderson, M.R., Kuivinen, K.C., & Rowe, C.M. Passive lIlicrowave-derived spatial and telllporal variati ons of sUlIllller lIlelt on the Greenland ice sheet. (View Details | Download )

4.Mote, T.L. (2007). Greenland surface melt trends 1973–2007: evidence of a large increase in 2007. Geophysical Research Letters, 34(22), L22507. (View Details | Download )

5.D Houtz, Mtzler, C., Naderpour, R., Schwank, M., & Steffen, K. (2021). Quantifying surface melt and liquid water on the greenland ice sheet using l-band radiometry. Remote Sensing of Environment, 256, 112341. (View Details | Download )

6.Cooper, M.G., & Smith, L.C. (2019). Satellite Remote Sensing of the Greenland Ice Sheet Ablation Zone: A Review. (View Details | Download )

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