Data Set ID:
GGD603

Maps of Geocryological Regions and Classifications in China, Version 1

This data set includes digital versions of 'The Map of Geocryological Regionalization and Classification in China' from Geocryology in China by Y. Zhou, D. Guo, G. Qiu, G. Cheng, and S. Li. Included are ESRI Shapefiles of meteorological stations, permafrost regions, and classification of frozen ground, and binary arrays of 25 km EASE-Gridded permafrost regions and classifications.

The maps delineate three major geographic areas divided into regions and subregions based on geographic and climatic conditions affecting the formation and spatial variability of permafrost and frozen ground. The maps also illustrate eight land classifications based on permafrost coverage and seasonal frozen ground depth. Station data include some information on air temperature, active layer thaw depth, and seasonal frozen ground depth.

This is the most recent version of these data.

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Data: Data integrity verified

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Parameter(s):
  • Frozen Ground > Active Layer > ACTIVE LAYER
  • Atmospheric Temperature > Air Temperature > AIR TEMPERATURE
  • Frozen Ground > Permafrost > PERMAFROST
  • Snow/Ice > Permafrost > PERMAFROST
  • Soils > Permafrost > PERMAFROST
  • Frozen Ground > Seasonally Frozen Ground > SEASONALLY FROZEN GROUND
Data Format(s):
  • Binary
  • Shapefile
Spatial Coverage:
N: 53.48, 
S: 18.19, 
E: 135.09, 
W: 73.45
Platform(s):Not specified
Spatial Resolution:Not SpecifiedSensor(s):Not specified
Temporal Coverage:Not specified Version(s):V1
Temporal ResolutionNot specifiedMetadata XML:View Metadata Record
Data Contributor(s):Guoqing Qiu, Dongxin Guo, Tingjun Zhang, Youwu Zhou

Geographic Coverage

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As a condition of using these data, you must cite the use of this data set using the following citation. For more information, see our Use and Copyright Web page.

Qiu, G., Y. Zhou, D. Guo, and Y. Wang 2002. Maps of Geocryological Regions and Classifications in China, Version 1. [Indicate subset used]. Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center. doi: https://doi.org/10.7265/matk-cw38. [Date Accessed].

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