SciWMS - glos/Documentation GitHub Wiki

SciWMS is an open source Python-based set of visualization services implementing the OGC WMS specification. Supporting both structured and unstructured grids, sciWMS was developed as existing WMS technologies did not support unstructured meshes in a format that preserved topology. SciWMS supports triangular unstructured meshes, curvilinear and rectangular grids. Features include styles that preserve unstructured mesh topology and topologically correct GetFeatureInfo requests for time-series data analysis. The services provide visualizations of scientific data stored as netCDF files via OPeNDAP.

GLOS has implemented sciWMS to serve irregularly-gridded model data ingested from the Great Lakes Coastal Forecasting System (GLCFS), the Huron to Erie Connecting Waterways Forecasting System (HECWFS), and the St. Lawrence River FVCOM forecasting system (SLRFVM). SciWMS is also used to serve MTRI’s natural color satellite imagery.