Portage and Global Water Futures Webinar Series
The webinar will focus on introducing the Canadian Surface Prediction Archive CaSPAr that provides an archive of environment and climate change Canada’s (ECCC’s) numerical weather predictions and allows the user to request custom subsets of the data. the custom subsetting reduces significantly the amount of data the users have to handle after downloading. the data all follow the same standard NetCDF format which further eases the post-processing of the data. a similar database was setup in collaboration with the Global Water Futures project and is called “Cuiznart.” The Cuizinart disseminates datasets used or produced in GWF and follows the same data format and custom requesting as CaSPAr. the webinar will introduce both systems and the datasets available to date. A live demonstration of data requesting and retrieving will be performed to illustrate the straight-forward procedure to obtain data of interest.
Juliane Mai is a Research Assistant Professor at the University of Waterloo. Her research is focussed on parameter estimation, sensitivity and uncertainty analysis of complex models. She applied these methods in different fields like systems biology as well as hydrology and land-surface modeling. She further made major contributions in the field of big data management through the development and hosting of the canadian surface prediction archive CaSPAr and the Cuizinart which disseminates input and research data.
This webinar will be presented in English and recorded. Engagement during the webinar in both official languages is welcomed. Previous webinar recordings are available on the CARL YouTube Channel. Links to the recordings and slides can also be found on Portage Training Resources.