GLobal HYdrogeology MaPS (GLHYMPS) of permeability and porosity

The lack of robust, spatially distributed subsurface data is the key obstacle limiting the implementation of complex and realistic groundwater dynamics into global land surface, hydrologic, and climate models. We map and analyze permeability and porosity globally and at high resolution for the first...

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Main Author: Gleeson, Tom
Format: Dataset
Language:unknown
Published: The University of British Columbia 2017
Subjects:
Online Access:https://dx.doi.org/10.14288/1.0355671
http://datacite.org/invalidDOI
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spelling ftdatacite:10.14288/1.0355671 2023-05-15T17:56:56+02:00 GLobal HYdrogeology MaPS (GLHYMPS) of permeability and porosity Gleeson, Tom 2017 https://dx.doi.org/10.14288/1.0355671 http://datacite.org/invalidDOI unknown The University of British Columbia dataset Dataset 2017 ftdatacite https://doi.org/10.14288/1.0355671 2021-11-05T12:55:41Z The lack of robust, spatially distributed subsurface data is the key obstacle limiting the implementation of complex and realistic groundwater dynamics into global land surface, hydrologic, and climate models. We map and analyze permeability and porosity globally and at high resolution for the first time. The new permeability and porosity maps are based on a recently completed high-resolution global lithology map that differentiates fine and coarse-grained sediments and sedimentary rocks, which is important since these have different permeabilities. The average polygon size in the new map is ~100 km2, which is a more than hundredfold increase in resolution compared to the previous map which has an average polygon size of ~14,000 km2. We also significantly improve the representation in regions of weathered tropical soils and permafrost. The spatially distributed mean global permeability ~10-15m2 with permafrost or ~1014m2 without permafrost. The spatially distributed mean porosity of the globe is 14%. The maps will enable further integration of groundwater dynamics into land surface, hydrologic, and climate models. Dataset permafrost DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description The lack of robust, spatially distributed subsurface data is the key obstacle limiting the implementation of complex and realistic groundwater dynamics into global land surface, hydrologic, and climate models. We map and analyze permeability and porosity globally and at high resolution for the first time. The new permeability and porosity maps are based on a recently completed high-resolution global lithology map that differentiates fine and coarse-grained sediments and sedimentary rocks, which is important since these have different permeabilities. The average polygon size in the new map is ~100 km2, which is a more than hundredfold increase in resolution compared to the previous map which has an average polygon size of ~14,000 km2. We also significantly improve the representation in regions of weathered tropical soils and permafrost. The spatially distributed mean global permeability ~10-15m2 with permafrost or ~1014m2 without permafrost. The spatially distributed mean porosity of the globe is 14%. The maps will enable further integration of groundwater dynamics into land surface, hydrologic, and climate models.
format Dataset
author Gleeson, Tom
spellingShingle Gleeson, Tom
GLobal HYdrogeology MaPS (GLHYMPS) of permeability and porosity
author_facet Gleeson, Tom
author_sort Gleeson, Tom
title GLobal HYdrogeology MaPS (GLHYMPS) of permeability and porosity
title_short GLobal HYdrogeology MaPS (GLHYMPS) of permeability and porosity
title_full GLobal HYdrogeology MaPS (GLHYMPS) of permeability and porosity
title_fullStr GLobal HYdrogeology MaPS (GLHYMPS) of permeability and porosity
title_full_unstemmed GLobal HYdrogeology MaPS (GLHYMPS) of permeability and porosity
title_sort global hydrogeology maps (glhymps) of permeability and porosity
publisher The University of British Columbia
publishDate 2017
url https://dx.doi.org/10.14288/1.0355671
http://datacite.org/invalidDOI
genre permafrost
genre_facet permafrost
op_doi https://doi.org/10.14288/1.0355671
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