Antarctic Ice Sheet Surface Melt 0.05˚ Daily Data Set (1985-1986, 2000-2001, 2015-2016)
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.
Wei, S. (2021). Antarctic Ice Sheet Surface Melt 0.05˚ Daily Data Set (1985-1986, 2000-2001, 2015-2016). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.271848. CSTR: 18406.11.Cryos.tpdc.271848. (Download the reference： RIS | Bibtex )
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
1.Zheng, L., Zhou, C., & Liang, Q. (2019). Variations in antarctic peninsula snow liquid water during 1999–2017 revealed by merging radiometer, scatterometer and model estimations. Remote Sensing of Environment, 232, 111219-. (View Details | Download )
2.Picard, G., & Fily, M. (2006). Surface melting observations in antarctica by microwave radiometers: correcting 26-year time series from changes in acquisition hours. Remote Sensing of Environment, 104(3), 325-336. (View Details | Download )
3.Trusel, L.D., Frey, K.E., & Das, S.B. (2012). Antarctic surface melting dynamics: enhanced perspectives from radar scatterometer data. Journal of Geophysical Research Earth Surface, 117(F2). (View Details | Download )
4.Zheng, L., & Zhou, C. (2019). Comparisons of snowmelt detected by microwave sensors on the shackleton ice shelf, east antarctica. International Journal of Remote Sensing(1). (View Details | Download )
5.Liu, H., Lei, W., & Jezek, K.C. (2006). Automated delineation of dry and melt snow zones in antarctica using active and passive microwave observations from space. IEEE Transactions on Geoscience & Remote Sensing, 44(8), 2152-2163. (View Details )
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