The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America

• DOI: 10.1016/j.envsoft.2023.105808
• Publication Date: 2023-08-23T03:25:45Z
• Authors: Richard Arsenault; David Huard; Jean-Luc Martel; Magali Troin; Juliane Mai; François Brissette; Christian Jauvin; Long Vu; James R. Craig; Trevor J. Smith; Travis Logan; Bryan A. Tolson; Ming Han; Francis Gravel; Sébastien Langlois
• Keywords: Python

This paper presents the PAVICS-Hydro platform, result of long-term strategic considerations and compromises between functionality ease-of-use, which is developed to provide users with direct access a comprehensive hydroclimatic modeling analysis framework over North America. includes Python hydrological modelling package, efficient meteorological data, large array post-processed numerical weather forecasts bias-corrected CMIP6 climate projections at scale 5797 catchments, thus providing basic components necessary for forecasting, as well change impact studies. principles on platform was while explaining choices behind its key features, specific focus lessons learned creators next generations' scientific research platforms. A case study using given illustrate how this can be used support different needs in field water resources.