Aggregated gridded bedrock depth dataset for Mackenzie and Nelson-Churchill River Basin based on bedrock data by Shangguan et al. (2017)

https://doi.org/10.20383/101.0152

The bedrock dataset created by Shangguan et al. (2017) is aggregated to a lower resolution (larger pixels) of 0.125 degree for Mackenzie and Nelson-Churchill River Basins for its applicability with Hydrology and Land Surface Models. This dataset is in particular generated for using 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. The statistics calculated for each final larger pixel (0.125 degrees) include mean, median, maximum, minimum, and standard deviation of the original higher resolution pixels within it. Also, in order to provide an idea of the reliability of this transformation, a corresponding 0.125 degrees raster dataset is created containing the number of missing values (NA) from the Shangguan et al. (2017) dataset within each larger 0.125 degree pixels.

Keshav, K., Haghnegahdar, A., Elshamy, M., Gharari, S., Razavi, S. (2019). Aggregated gridded bedrock depth dataset for Mackenzie and Nelson-Churchill River Basin based on bedrock data by Shangguan et al. (2017) [Dataset]. Federated Research Data Repository. https://doi.org/10.20383/101.0152

Mackenzie River and Nelson-Churchill River Basins

1. Description of methods used for collection/generation of data:
The 250 m resolution absolute bedrock data published by Shangguan et al. (2017) has been used as the source dataset to convert into 0.125 degree resolution rasters.

Shangguan, W., Hengl, T., de Jesus, J. Mendes, Yuan, H., and Dai, Y. (2017), Mapping the global depth to bedrock for land surface modeling, J. Adv. Model. Earth Syst., 9, 65– 88, doi:10.1002/2016MS000686

2. Methods for processing the data:
The bedrock data has been converted to 0.125 degree resolution raster for Mackenzie and Nelson-Churchill River Basin using an R script. The rasters created in the process have mean, median, standard deviation, maximum and minimum of higher resolution pixels (250 m) inside each lower resolution pixel (0.125 degree). Also, the raster MRB_NA and NCRB_NA have the number of higher resolution pixel having no value inside each 0.125 degree pixel signifying the unavailability of source data per pixel.

3. Instrument- or software-specific information needed to interpret the data:
The data can be opened as a spreadsheet having three columns: longitude, latitude, pixel value (mean/median/max/min/number of NA/standard deviation). The datasets (after removing the column names) can also be opened in a GIS software (eg. QGIS) to view spatially and converted to .tif or any desired format.

Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

Data is available for download from https://doi.org/10.20383/101.0152