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A gridded global data set of soil, intact regolith, and sedimentary deposit thicknesses for regional and global land surface modeling

Jon D. Pelletier, Patrick D. Broxton, Pieter Hazenberg, Xubin Zeng, Peter A. Troch, Guo-Yue Niu, Zachary Williams, Michael A. Brunke, David Gochis

Earth's terrestrial near-subsurface environment can be divided into relatively porous layers of soil, intact regolith, and sedimentary deposits above unweathered bedrock. Variations in the thicknesses of these layers control the hydrologic and biogeochemical responses of landscapes. Currently, Earth System Models approximate the thickness of these relatively permeable layers above bedrock as uniform globally, despite the fact that their thicknesses vary systematically with topography, climate, and geology. To meet the need for more realistic input data for models, we developed a high-resolution gridded global data set of the average thicknesses of soil, intact regolith, and sedimentary deposits within each 30 arcsec (∼1 km) pixel using the best available data for topography, climate, and geology as input. Our data set partitions the global land surface into upland hillslope, upland valley bottom, and lowland landscape components and uses models optimized for each landform type to estimate the thicknesses of each subsurface layer. On hillslopes, the data set is calibrated and validated using independent data sets of measured soil thicknesses from the U.S. and Europe and on lowlands using depth to bedrock observations from groundwater wells in the U.S. We anticipate that the data set will prove useful as an input to regional and global hydrological and ecosystems models.


Journal of Advances in Modeling Earth Systems, Vol. 8, No. 1. (March 2016), pp. 41-65, https://doi.org/10.1002/2015ms000526 
Key: INRMM:14376916

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"This data set provides high-resolution estimates of the thickness of the permeable layers above bedrock (soil, regolith, and sedimentary deposits) within a global 30-arcsecond (~1-km) grid using the best available data for topography, climate, and geology as input. These data are modeled to represent estimated thicknesses by landform type for the geological present.". Source: https://doi.org/10.3334/ORNLDAAC/1304
Further readings: https://doi.org/10.3334/ORNLDAAC/1304
The following information is from: https://webmap.ornl.gov/mapwidget/widget_daac.html?dsid=1304&w=884&h=472&bnav=true&btitle=false&bopacityslider=true&bborder=false


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