<p>This dataset is an upgraded version of "China snow depth long time series dataset (1978-2012)". Because AMSR-E stopped operation in 2011, the brightness temperature of SSMI / s sensor was used to extract snow depth from 2008 to 2016. This dataset provides daily snow thickness distribution data in China from January 1, 1979 to December 31, 2016, with a spatial resolution of 0.25 degrees. The original data used to retrieve the snow depth data set are from SMMR (1979-1987), SSM / I (1987-2007) and SSMI / S (2008-2016) daily passive microwave brightness data (ease grid) processed by the National Snow and Ice Data Center (NSIDC). Because the three sensors are installed on different platforms, there is a certain system inconsistency in the data obtained. By simultaneous interpreting the brightness temperature of different sensors, the consistency of brightness temperature data is increased. Then we use Dr. chetao's modified algorithm based on Chang algorithm to retrieve snow depth in China. Refer to the data description document "Introduction to China snow depth long time series data set (1979-2016). Doc" for specific inversion methods. The dataset is a longitude and latitude projection, one file per day. The file name is year + day. For example, 1990001 represents the first day of 1990, and 1990207 represents the 207th day of 1990. Please refer to the data documentation for detailed data description. </p>
<p>The original data used to retrieve the snow depth data set are from SMMR (1979-1987), SSM / I (1987-2007) and SSMI / S (2008-2016) daily passive microwave brightness data (ease grid) processed by the National Snow and Ice Data Center (NSIDC). </p>
By simultaneous interpreting the brightness temperature of different sensors, <p> can improve the consistency of brightness temperature data in time. Then we use Dr. chetao's modified algorithm based on Chang algorithm to retrieve snow depth in China. Refer to the data description document "Introduction to China snow depth long time series data set (1979-2016). Doc"</p>
<p>Data set quality control through strict manual audit</p>
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