Dataset
ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v2.0
Abstract
This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the first version of their Climate Research Data Package (CRDP v1). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v1 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness.
Case A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2017 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.
Case B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2018 using a pixel-specific statistics for each day of the year.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s): https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_permafrost_terms_and_conditions.pdf When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
Data have been produced by the ESA CCI Permafrost project as part of ESA's Climate Change Initiative programme |
| Data Quality: |
Data is as provided by the Permafrost CCI project. For further quality information see the permafrost CCI website and linked documentation.
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| File Format: |
Data are in NetCDF format
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Related Documents
| Product User Guide |
| ESA CCI Permafrost project website |
| Technical documentation for the Permafrost CCI project |
Citations: 1
The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.
| Schulte, L., Li, C., Lisovski, S. & Herzschuh, U. (2022) Forest‐permafrost feedbacks and glacial refugia help explain the unequal distribution of larch across continents. Journal of Biogeography 49, 1825–1838. https://doi.org/10.1111/jbi.14456 https://doi.org/10.1111/jbi.14456 |
Process overview
| Title | Computation of Permafrost v2 datsets by the ESA Permafrost CCI |
| Abstract | The Permafrost CCI project is establishing Earth Observation (EO) based products for the permafrost Essential Climate Variable (ECV) spanning the last two decades. Since ground temperature and thaw depth cannot be directly observed from space-borne sensors, a variety of satellite and reanalysis data are combined in a ground thermal model. The algorithm uses remotely sensed data sets of Land Surface Temperature (MODIS LST/ ESA LST CCI) and landcover (ESA LandcoverCCI) to drive the transient permafrost model CryoGrid 2, which yields thaw depth and ground temperature at various depths, while ground temperature forms the basis for permafrost fraction. Input data: MODIS Land surface temperature is used as the main input for the L4 production for 2003-2018 data. Sensors of auxiliary data are listed in the meta data. |
| Input Description | Permafrost v2 input |
| Output Description | None |
| Software Reference | None |
- units: metres
- var_id: ALT
- standard_name: permafrost_active_layer_thickness
- var_id: polar_stereographic
- units: m
- var_id: x
- standard_name: projection_x_coordinate
- long_name: x coordinate of projection
- units: m
- var_id: y
- standard_name: projection_y_coordinate
- long_name: y coordinate of projection
Co-ordinate Variables
- long_name: time
- standard_name: time
- var_id: time
Temporal Range
1997-01-01T00:00:00
2018-12-31T23:59:59
Geographic Extent
90.0000° |
||
-180.0000° |
180.0000° |
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30.0000° |