GCN10 is a global 10 m curve number dataset derived from ESA WorldCover and HYSOGs hydrologic soil group data for hydrologic modeling, flood analysis, and watershed-scale environmental applications. The dataset is accessible through direct file downloads, a SpatioTemporal Asset Catalog (STAC) Application Programming Interface (API), and a web frontend for interactive discovery and access:
When you use this dataset, please cite Azzam and Cho (2026).
Name Last modified Size Description
Parent Directory - hsg/ 2025-11-11 16:39 - landcover/ 2025-11-11 16:39 - shps/ 2025-11-11 16:39 - README.md 2026-05-27 06:17 370 cn_rasters_undrained/ 2026-09-30 17:09 - cn_rasters_drained/ 2026-10-06 11:45 - metadata.xml 2026-10-16 06:11 12K
Individual files can be downloaded directly from the directory listing above. To download the complete GCN10 dataset while preserving its directory structure, use GNU Wget:
wget -r -np -nH --cut-dirs=1 -c -R "index.html*" https://hydro.nmsu.edu/datasets/gcn10/
Windows users can download a standalone GNU Wget executable from Wget for Windows.
The complete dataset is approximately 1.2 TB, so downloading it may take considerable time depending on network speed. Interrupted downloads can be resumed by running the same command again.
This work was funded by the New Mexico Water Resources Research Institute (NM WRRI) and the New Mexico State Legislature under account number NMWRRI-SG-FALL2024. It utilized resources from the New Mexico State University High Performance Computing Group, which is directly supported by the National Science Foundation (OAC-2019000), the Student Technology Advisory Committee, and New Mexico State University and benefits from inclusion in various grants (DoD ARO-W911NF1810454; NSF EPSCoR OIA-1757207; Partnership for the Advancement of Cancer Research, supported in part by NCI grants U54 CA132383 (NMSU)).
The Earth Data Analysis Center (EDAC) provides hosting resources for the STAC API and web frontend of the dataset.
Open-access (OA) publication fees were supported by the NMSU Faculty Senate OA Publication Committee.
Azzam, M. A., Cho, H., 2026. GCN10: An MPI-Parallelized Framework for Processing Global Curve Number Rasters for Hydrologic Modeling. SoftwareX 34, 102725. doi:10.1016/j.softx.2026.102725. Author’s Version.