Talk presented at EGU 2019. We present the Hydrological Multipurpose Software Environment (HyMUSE), a Python framework for Hydrological model simulations, that will form part of the computational core of the eWaterCycle project. The eWaterCycle II project aims to develop a platform for researchers to easily develop and use hydrological models and deploy them on HPC resources. HyMUSE is being developed at the Netherlands eScience Center using technology developed in the AMUSE and OMUSE projects, which where developed for the astrophysical and oceanographic domains
The recent studies by Vansteenkiste et al., (2011, 2012a and 2012b) have shown that the potential hy...
Today, water authorities face a set of water management challenges, related to new European policies...
International audienceMachine learning has shown great promise for simulating hydrological phenomena...
Whether you study compound hazards that require models from different fields of geoscience, or you j...
The Oceanographic Multipurpose Software Environment (OMUSE) is a Python framework that aims to provi...
Understanding water movement on a global scale is essential for society to predict floods, droughts ...
HydroShare is an online, collaborative system for open sharing of hydrologic data, analytical tools,...
Hutton et al. (2016) argued that computational hydrology can only be a proper science if the hydrolo...
The eWaterCycle package makes it easier to use hydrological models without having intimate knowledge...
International audienceAbstract. The land surface, hydrological, and groundwater modelling communitie...
<p>Hydrology is dominated by multiphase flow processes, due to the importance of capturing water's i...
“Big Iron” super computers and commercial cloud resources (Amazon, Google, Microsoft) are considered...
Data availability at global scale is increasing exponentially. Although considerable challenges rema...
Water resources stakeholders and decision makers often use hydrologic simulations to estimate and an...
Hydrologists need simple, yet powerful, open source framework for developing and testing mathematica...
The recent studies by Vansteenkiste et al., (2011, 2012a and 2012b) have shown that the potential hy...
Today, water authorities face a set of water management challenges, related to new European policies...
International audienceMachine learning has shown great promise for simulating hydrological phenomena...
Whether you study compound hazards that require models from different fields of geoscience, or you j...
The Oceanographic Multipurpose Software Environment (OMUSE) is a Python framework that aims to provi...
Understanding water movement on a global scale is essential for society to predict floods, droughts ...
HydroShare is an online, collaborative system for open sharing of hydrologic data, analytical tools,...
Hutton et al. (2016) argued that computational hydrology can only be a proper science if the hydrolo...
The eWaterCycle package makes it easier to use hydrological models without having intimate knowledge...
International audienceAbstract. The land surface, hydrological, and groundwater modelling communitie...
<p>Hydrology is dominated by multiphase flow processes, due to the importance of capturing water's i...
“Big Iron” super computers and commercial cloud resources (Amazon, Google, Microsoft) are considered...
Data availability at global scale is increasing exponentially. Although considerable challenges rema...
Water resources stakeholders and decision makers often use hydrologic simulations to estimate and an...
Hydrologists need simple, yet powerful, open source framework for developing and testing mathematica...
The recent studies by Vansteenkiste et al., (2011, 2012a and 2012b) have shown that the potential hy...
Today, water authorities face a set of water management challenges, related to new European policies...
International audienceMachine learning has shown great promise for simulating hydrological phenomena...