Watershed Group, University of Guelph
Good quality climate data is available in abundance via multiple platforms and resources (e.g., NASA Earthdata, ESGF, etc.). However, leveraging such data can be a monumental barrier and challenge for hydrologists, water resource engineers and environmental scientists. The Watershed Group at University of Guelph (UoG), headed by Dr. Prasad Daggupati, has created numerous web applications that source, interpret and manage climate data for applicable use in hydrological modelling and earth sciences. These applications incorporate data pipelines that periodically access climate data from numerous sources, and make it available for ready use in popular environmental models.
Can-GLWS is our Data as a Service (DaaS) platform that allows application users to download SWAT-ready climate data (historical, climate change scenarios and weather statistics) of a pre-specified region within the Canadian Great Lakes watersheds. SWAT is a highly popular tool for hydrologic and watershed modelling, and is widely used in the Canadian Great Lakes region for hydrologic modelling and watershed management decision support. The Can-GLWS application is available at https://www.uoguelph.ca/watershed/glws/.
The APWS application provides weather statistics for the Asia Pacific region that can be used in the SWAT-compatible WXGN weather generator, for generating synthetic weather time-series for any location (or multiple locations) in the Asia Pacific region. Weather statistics of APWS is a hybrid dataset, derived from APHRODITE and CFSR climate variables. APWS statistics can be downloaded for any area of interest within Asia Pacific, through the following web application: https://www.uoguelph.ca/watershed/apws/.
The Watershed group at UoG is currently developing numerous additional data services for assisting hydrologic modelers and environmental scientists. These applications include a global weather data service for hydrological modelling. This application, called the World Water Weather Service (W3S), will provision users to request historical weather data from anywhere on the globe, and prepare requested data in popular modelling formats, including SWAT, HEC-HMS etc.