A Hydrologist’s Guide to Open Science

A Hydrologist’s Guide to Open Science

A hydrologist's guide to open science

Building the tools to speed up the policy design cycle: letting policy makers work with hydrologic models themselves through eWaterCycle

Comment on “Most computational hydrology is not reproducible, so is it really science?” by Christopher Hutton et al.: Let hydrologists learn the latest computer science by working with Research Software Engineers (RSEs) and not reinvent the water

scholarly article by R. W. Hut et al published May 2017 in Water Resources Research

Comparing impact of ERA5 vs ERAInterim on hydrology using the eWaterCycle Open Hydrological Platform

Global glacio-hydrological model coupling for streamflow prediction

Hyper-resolution global hydrological modelling: what is next?

artículo científico publicado en 2014

Large-sample based evaluation of the spatial resolution discretization of the wflow_sbm model for the CAMELS dataset

PCR-GLOBWB 2: a 5 arc-minute global hydrological and water resources model

article published in 2017

PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model

article published in 2018

Preprocessing of hydrological models’ input in eWaterCycle with ESMValTool

Recent developments on the Earth System Model Evaluation Tool

artículo científico publicado en 2021

The eWaterCycle platform for open and FAIR hydrological collaboration

artículo científico publicado en 2022

Towards Open and FAIR Hydrological Modelling with eWaterCycle

Towards Reproducible Hydrological Modelling with eWaterCycle

preprint

Using modular 3D digital earth applications based on point clouds for the study of complex sites