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Aggregated gridded soil texture dataset for Mackenzie and Nelson-Churchill River Basins.

Description: The dataset contains 0.125 resolution gridded soil texture data for Mackenzie and Nelson-Churchill River Basins. The data has been aggregated from two source datasets, namely Soil Landscapes of Canada 2.2 dataset and STATSGO2 dataset for USA. The final texture data has the minimum, maximum and average percent for sand, clay and organic components of soil per grid cell of the two basins. This data set is particularly created for the use with MESH (Modélisation Environnementale communautaire - Surface Hydrology), a distributed coupled hydrology-land surface model developed by Environment and Climate Change Canada, as applied to Mackenzie and Nelson-Churchill River Basins. It can be used for similar applications of land surface, hydrology, or environmental models as appropriate.
Authors: Keshav, Kuljeet; Indian Institute of Technology BHU
Haghnegahdar, Amin; Global Institute for Water Security; University of Saskatchewan
Elshamy, Mohamed; Global Institute for Water Security; University of Saskatchewan
Gharari, Shervan; Global Institute for Water Security; University of Saskatchewan
Razavi, Saman; Global Institute for Water Security; University of Saskatchewan
Keywords: Mackenzie River Basin
Nelson-Churchill River Basin
Soil Texture
SLC 2.2
STATSGO2
Land Surface/Hydrology Modelling
MESH
Field of Research: 
Earth and related environmental sciences
>
Hydrology
>
Soil hydrology
Publication Date: 2019-05-02
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
Funder: Mitacs; Globalink Research Internship Award-2017
URI: https://doi.org/10.20383/101.0154
Geographic Coverage: 
Place Name
Mackenzie River Basin
Country
Canada

Place Name
Nelson-Churchill River Basin
Country
Canada
Geolocation Box: 
West Longitude
-140.4375
East Longitude
-102.0625
North Latitude
70.4375
South Latitude
51.0625

West Longitude
-117.64825
East Longitude
-89.50825
North Latitude
59.9477
South Latitude
45.1713
Appears in Collections:Global Water Futures

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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Keshav, K., Haghnegahdar, A., Elshamy, M., Gharari, S., Razavi, S. (2019). Aggregated gridded soil texture dataset for Mackenzie and Nelson-Churchill River Basins.. Federated Research Data Repository. https://doi.org/10.20383/101.0154