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

• Main Authors: Keshav, Kuljeet, Haghnegahdar, Amin, Elshamy, Mohamed, Gharari, Shervan, Razavi, Saman
• Format: Dataset
• Language: unknown
• Published: Federated Research Data Repository / dépôt fédéré de données de recherche 2019
• Subjects: Mackenzie River Basin; Nelson-Churchill River Basin; Soil Texture; SLC 2.2; STATSGO2; Land Surface/Hydrology Modelling; MESH; Soil hydrology; Hydrologie du sol; Canada; Mackenzie River; Churchill River; Mackenzie river
• Online Access: https://dx.doi.org/10.20383/101.0154; https://www.frdr-dfdr.ca/repo/dataset/6948df43-ed93-f107-5e91-4e1005f39a4a

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. ...