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Three_Long_Term_SnowDepth_datasets_025km_China_ESSD

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Figshare2024-03-12 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Three_Long_Term_SnowDepth_datasets_025km_China_ESSD/25392625
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Three long-term snow depth datasets (random forest, pixel-based, and fusion products) covering 35 years (1988–2022) were provided. To improve the reliability of snow depth estimates, an ensemble dataset of random forest, pixel-based, and ERA5-Land products covering 1988-2022 snowy season was generated.Compared to snow depth datasets based solely on remote sensing or climate reanalysis data, fusion dataset can achieve the complementary observations of different data sources and therefore provide a higher confidence in the magnitude of snow depth.The snow depth datasets are stored in *.hdf format. Its naming convention is “SnowDepth_YYYYMMDD_Daily_025km_ProductName.h5”. “SnowDepth” is the snow depth variable. The file name variable “YYYYMMDD” denotes the date stamp, for example, 20220101. The “Daily” means the revisit time. The “025km” denotes the spatial resolution. The “ProductName” is the dataset name, for example, RandomForest, PixelBased, and Fusion. The pixel values in the hdf files have specific meanings: “0–1000” represents the effective value of snow depth, and the unit is cm; “9999” means missing or no data. The code used to read *.hdf file.
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2024-03-12
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