Long-term Sequence Data Set of China Snow Depth (1979-2016)

This data set is an upgraded version of the “Long-term Sequence Data Set of China Snow Depth". The source data of the dataset differ from those of the previous version. Because AMSR-E stopped running in 2011, snow depth from 2008 to 2016 is extracted using the brightness temperature of the SSMI/S sensor. This dataset provides daily data of snow depth distribution in China from January 1, 1979, to December 31, 2016, with a spatial resolution of 0.25 degrees. The original data used to invert the snow depth dataset are the daily passive microwave brightness temperature data (EASE-Grid) from SMMR (1979-1987), SSM/I (1987-2007) and SSMI/S (2008-2016) processed by the National Snow and Ice Data Center (NSIDC). Because the three sensors are mounted on different platforms, there is a certain system inconsistency in the obtained data. The time consistency of the brightness temperature data is improved by cross-calibrating the brightness temperatures of different sensors. The snow depth inversion is then performed using the algorithm specifically modified for China by Dr. Tao Che based on the Chang algorithm. For the specific inversion method, please refer to the data specification, “Long-term Sequence Data Set of China Snow Depth (1979-2016) Introduction. doc". The data set is a latitude and longitude projection, with one file each day, the naming convention of which is year + day; for example, 1990001 represents the first day of 1990, and 1990207 represents the 207th day of 1990. For a detailed data description, please refer to the data file.

Required Data Citation View Data Cite Help About Data Citation

1. Che, T., Li, X., Jin, R., Armstrong, R., &Zhang, T.J. (2008). Snow depth derived from passive microwave remote-sensing data in China. Annals of Glaciology, 49, 145-154.( View Details)

2. Dai, L.Y., Che, T., Wang, J., &Zhang, P. (2012). Snow Depth and Snow Water Equivalent Estimation from AMSR-E Data Based on a priori Snow Characteristics in Xinjiang, China. Remote Sensing of Environment, 127, 14-29.( View Details | Download )

3. Dai, L.Y., Che, T., &Ding, Y.J. (2015). Inter-calibrating SMMR, SSM/I and SSMI/S data to improve the consistency of snow-depth products in China. Remote Sensing, 7(6), 7212-7230.( View Details)

Cite the data

CHE Tao. Long-term Sequence Data Set of China Snow Depth (1979-2016). Big Data System for Pan-Third Pole, 2015. doi: 10.3972/westdc.001.2015.db. (Download the reference: RIS | Bibtex )

Using this data, you must reference article references listed in the Required Data Citation and reference data

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To respect the intellectual property rights, protect the rights of data authors, expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data. The results published in Chinese can be indicated by the following specifications: Data from the Heihe Plan Data Management Center (http://westdc.westgis.ac.cn). The results published in English can be indicated by the following specifications: The data set is provided by Cold and Arid Regions Sciences Data Center at Lanzhou (http://westdc.westgis.ac.cn).

License: This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

Related Resources

1. 2019-06-19 武汉大学资环学院 杨家鑫 Usage:科研


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  • Time Resolution: Yearly
  • Format: 文本数据
  • File size: 5493.0 MB
  • View count:14800 Times
  • Share type: online
  • Time Range: 1979-01-01 To 2016-12-31
  • Updated Time:2019-08-09
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Contact Information

Data Resource Provider: CHE Tao  

Distributor: Observational & Big Data Center for Three Poles

Contact: data@itpcas.ac.cn

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