针对中国积雪分布区，基于混合像元雪水当量反演算法，利用星载被动微波遥感亮温数据制备了1980-2020年空间分辨率为25km的逐日雪水当量/雪深数据集。该数据集以HDF5文件格式存储，每个HDF5文件包含32个数据要素，其中包括雪深（cm）、雪水当量（mm）、经纬度、亮温(升降轨)、质量标识符和地物类型覆盖度等。同时为了快速预览积雪分布情况，逐日文件包含雪水当量缩略图，以png格式存储。本数据集将根据实时卫星遥感数据和算法更新情况（目前到2020年1月份）进行持续的补充和完善，并采用完全开放共享。
基于星载被动微波遥感亮温数据（SMMR/SSMI），利用混合像元雪水当量反演算法制备了空间分辨率为25km的逐日雪水当量/雪深数据集。生产过程中考虑了混合像元的影响(森林、草地、农田)；利用波段组合去除了地形的影响；引入大气模型降低了大气带来的反演不确定性；拟合森林参数降低了森林带来的反演不确定性；并针对产品的一致性进行了偏差校正。 为了尽最大可能保证空间范围的全覆盖，针对亮温数据进行升降轨合并，如果仍然存在轨道间隙，则采用前后两天数据平均的方式填补。如果只有前天或后天存在数据，则采用前天或后天的数据填补。对于SMMR，由于时间分辨率为2天，因此只采用升降轨合并。卫星观测亮温数据集来自美国冰雪数据中心（https://nsidc.org/data/）， 数据格式为bin格式，空间分辨率为25km，采用EASE-GRID投影方式。 >
本数据集通过混合像元雪水当量反演算法，基于IDL标准产品生产系统，利用SMMR（1980-1987）、SSMI（1988-2008）、SSMIS（2009-2020）卫星遥感亮温数据生产而来。
| # | 编号 | 名称 | 类型 |
| 1 | 2017FY100500 | 中国积雪特性及分布调查 | 科技基础性工作专项 |
蒋玲梅, 杨建卫, 戴礼云, 李晓峰, 邱玉宝, 武胜利, 李震，中国1980-2020年雪水当量25公里逐日产品，国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2020，doi：10.12072/ncdc.I-SNOW.db0002.2020
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