S Razavi - Environmental Modelling & Software, 2021 - Elsevier
Recent breakthroughs in artificial intelligence (AI), and particularly in deep learning (DL), have created tremendous excitement and opportunities in the earth and environmental …
M Hayashi, G van der Kamp - Canadian Water Resources Journal …, 2023 - Taylor & Francis
Canadian hydrologists have played important roles in advancing the scientific understanding of groundwater flow in the hydrologic cycle. This article highlights some of the …
Abstract The Global Energy and Water Cycle Exchanges (GEWEX) project was created more than 30 years ago within the framework of the World Climate Research Programme …
Cold regions provide water resources for half the global population yet face rapid change. Their hydrology is dominated by snow, ice and frozen soils, and climate warming is having …
As a result of altitude and latitude amplified climate change, widespread changes in vegetation composition, density and distribution have been observed across northern …
Shifting precipitation patterns, a warming climate, changing snow dynamics and retreating glaciers are occurring simultaneously in glacierized mountain headwaters. To predict future …
A traditional engineering-based approach to hydro-economic modelling is to connect a partial equilibrium economic assessment, eg, changes in sectoral production, to a detailed …
Floodplain wetland ecosystems experience significant seasonal water fluctuation over the year, resulting in a dynamic hydroperiod, with a range of vegetation community responses …
K Li, G Huang, S Wang, S Razavi… - Water Resources …, 2022 - Wiley Online Library
Abstract Machine learning (ML) models have been widely used for hydrological simulation. Previous studies have reported that conventional ML models fail to accurately simulate …