Global Permafrost Zonation Index Map

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Global Permafrost Zonation Index Map
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This data set contains a global (excluding Antarctica) 1 km map of permafrost zonation. It is an estimate of to what degree permafrost exists in a region nearly everywhere, or only in the most favorable conditions. These local conditions affecting permafrost occurrence will partly exhibit regional trends (e.g. mean snow cover characteristics or continentality), partly vary over typical distances on the order of several km (e.g. shaded or sun-exposed side of a mountain), and partly over tens to hundreds of meters (e.g. snow drift, vegetation, ground material). These conditions need to be assessed during interpretation, depending on the intended purpose of using the PZI map. This product is likely to be most valuable in remote regions where only sparse reliable information exists.

Key Strengths

Key Strengths

Provides a global map of permafrost occurrence for comparison with model predictions or for other studies

Key Limitations

Key Limitations

Not purely observational data; the permafrost map is itself dependent on models, including the permafrost model and the model used to generate the reanalysis, from which the temperatures are taken (and combined with temperatures from CRU)

Please cite data sources, following the data providers' instructions
Dataset DOIs
None
Hosted Climate Index Files
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Usage Restrictions
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Expert Developer Guidance

Expert Developer Guidance

The following was contributed by Stephan Gruber (U Zurich), April, 2012:

This data set contains a global (excluding Antarctica) 1 km map of permafrost zonation. The accompanying publicatios points out important limitations that exist in such products and that may be relevant when used for validating other models. The Permafrost Zonation Index (PZI) or a corresponding map color indicates, to what degree permafrost exists only in the most favorable conditions (yellow) or nearly everywhere (blue). These local conditions affecting permafrost occurrence will partly exhibit regional trends (e.g. mean snow cover characteristics or continentality), partly vary over typical distances on the order of several km (e.g. shaded or sun-exposed side of a mountain), and partly over tens to hundreds of meters (e.g. snow drift, vegetation, ground material). These conditions need to be assessed during interpretation, depending on the intended purpose of using the PZI map. This product is likely to be most valuable in remote regions where only sparse reliable information exists. The accompanying publication [Key Publication #1 below, Gruber et al., 2012] points to the importance of heterogeneity and uncertainty in the derivation and use of such permafrost zonation maps.#

Cite this page

Acknowledgement of any material taken from or knowledge gained from this page is appreciated:

Gruber, Stephan & National Center for Atmospheric Research Staff (Eds). Last modified "The Climate Data Guide: Global Permafrost Zonation Index Map.” Retrieved from https://climatedataguide.ucar.edu/climate-data/global-permafrost-zonation-index-map on 2024-11-22.


Citation of datasets is separate and should be done according to the data providers' instructions. If known to us, data citation instructions are given in the Data Access section, above.


Acknowledgement of the Climate Data Guide project is also appreciated:

Schneider, D. P., C. Deser, J. Fasullo, and K. E. Trenberth, 2013: Climate Data Guide Spurs Discovery and Understanding. Eos Trans. AGU, 94, 121–122, https://doi.org/10.1002/2013eo130001

Key Figures

Permafrost Zonation in the Himalaya region. (Credit: Stephan Gruber [U Zurich])

Other Information

Earth system components and main variables
Type of data product
None
Dataset collections
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Years of record
None
Data time period extended
None
Timestep
Climatology
Domain
Formats:
Input Data
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Vertical Levels:
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Missing Data Flag
Missing data present
Ocean or Land
Ocean & Land
Spatial Resolution

30 arc-seconds; 0.008333333; 60S-90N; 43200x18000

Model Resolution (reanalysis)
None
Data Assimilation Method
None
Model Vintage (reanalysis)
None