Snow depth dataset of Eurasian (Version 1.0) (1980-2016)


The Eurasia snow depth data set is produced by the passive microwave remote sensing inversion method. The data cover from 1980 to 2016 with a temporal resolution of one day, the spatial coverage of the data is Eurasia, and the spatial resolution is 0.25°. The remote sensing inversion method adopts a dynamic brightness temperature gradient algorithm. The algorithm considers the spatial and temporal variations of snow characteristics and establishes the spatial and seasonal dynamic relationships between the temperature difference at different frequencies and the measured snow depth. The long-term sequence of satellite-borne passive microwave brightness temperature data were derived from three sensors, SMMR, SSM/I and SSMI/S. For temporal consistency of the brightness temperature among different sensors, the brightness temperature of different sensors was intercalibrated before snow depth extraction. The verification of the measured site shows that the relative deviation of Eurasia snow depth data is within 30%. The data are stored as a txt file every day, each file includes a file header (projection mode) and a 720*332 snow depth matrix, and each snow depth represents a 0.25°*0.25° grid.

For details of the data, please refer to the Eurasia Snow Depth Data Set - Data Description


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Citations

1. 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 | Bibtex)

2. 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 | Bibtex)

3. Grody, N.C., &Basist, A.N. (1996). Global identification of snowcover using SSM/I measurements. IEEE Transactions on Geoscience and Remote Sensing, 34(1), 237-249.( View Details | Bibtex)

4. Savoie, M.H., Armstrong, R.L., Brodzik, M.J. &Wang, J.R. (2009). Atmospheric corrections for improved satellite passive microwave snow cover retrievals over the Tibet Plateau. Remote Sensing of Environment, 113(12), 2661-2669.( View Details | Bibtex)

5. Dai, L.Y., Che, T., Ding, Y.J., &Hao, X.H. (2017). Evaluation of snow cover and snow depth on the Qinghai–Tibetan Plateau derived from passive microwave remote sensing. The Cryosphere, 11(4), 1933-1948.( View Details | Bibtex)

Cite the data

CHE Tao. Snow depth dataset of Eurasian (Version 1.0) (1980-2016). National Tibetan Plateau Data Center, 2018. doi: 10.11888/Snow.tpdc.270096. (Download the reference: RIS | Bibtex )

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


Support Program

CASEarth:Big Earth Data for Three Poles(grant No. XDA19070000)

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Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
Spatial coverage

East: 180.00

South:

West:

North: 83.00

Detail
  • Temporal resolution: Monthly
  • File size: 979 MB
  • Browse count: 662 Times
  • Apply count: 28 Times
  • Share mode: online
  • Temporal coverage: 1980-01-03 To 2016-12-31
  • Updated time: 2019-08-09
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Contact Information
: CHE Tao  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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