Introductory overview: Error metrics for hydrologic modelling–A review of common practices and an open source library to facilitate use and adoption

EK Jackson, W Roberts, B Nelsen, GP Williams… - … Modelling & Software, 2019‏ - Elsevier
Error metrics quantify predicted flow accuracy and compare different predictions.
Hydrologists commonly use and report metrics with little justification or discussion of the …

HydroShare retrospective: Science and technology advances of a comprehensive data and model publication environment for the water science domain

DG Tarboton, DP Ames, JS Horsburgh… - … Modelling & Software, 2024‏ - Elsevier
Recent decades have witnessed a massive increase in the volume and quality of hydrologic
data available to aid water resources decision makers, managers, and scientists. This has …

[HTML][HTML] Groundwater Level Map** Tool: An open source web application for assessing groundwater sustainability

SW Evans, NL Jones, GP Williams, DP Ames… - … Modelling & Software, 2020‏ - Elsevier
Decision makers need an accurate understanding of aquifer storage trends to effectively
manage groundwater resources. Groundwater is difficult to monitor and quantify since the …

Advancing global hydrologic modeling with the GEOGloWS ECMWF streamflow service

RC Hales, EJ Nelson, M Souffront… - Journal of Flood Risk …, 2025‏ - Wiley Online Library
Most people face some level of water insecurity. Wise water management practices to
address water security issues typically require data derived from a combination of …

A CyberGIS integration and computation framework for high‐resolution continental‐scale flood inundation map**

YY Liu, DR Maidment, DG Tarboton… - JAWRA Journal of …, 2018‏ - Wiley Online Library
Abstract We present a Digital Elevation Model‐based hydrologic analysis methodology for
continental flood inundation map** (CFIM), implemented as a cyberGIS scientific workflow …

Applying deep learning algorithms to enhance simulations of large-scale groundwater flow in IoTs

YS Su, CF Ni, WC Li, IH Lee, CP Lin - Applied Soft Computing, 2020‏ - Elsevier
Deep learning for enhancing simulation IoTs groundwater flow is a good solution for gaining
insights into the behavior of aquifer systems. In previous studies, corresponding results give …

HydroLang: An open-source web-based programming framework for hydrological sciences

CE Ramirez, Y Sermet, F Molkenthin, I Demir - Environmental Modelling & …, 2022‏ - Elsevier
This paper introduces HydroLang, an open-source and integrated community-driven
computational web framework for hydrology and water resources research and education …

Design and development of a service-oriented wrapper system for sharing and reusing distributed geoanalysis models on the web

F Zhang, M Chen, DP Ames, C Shen, S Yue… - … modelling & software, 2019‏ - Elsevier
Geoanalysis models are an abstraction and expression of geographic phenomena and
processes which are associated to environmental issues. Such models continue to be …

[HTML][HTML] The INOWAS platform: A web-based numerical groundwater modelling approach for groundwater management applications

J Glass, R Junghanns, R Schlick, C Stefan - Environmental Modelling & …, 2022‏ - Elsevier
Abstract The INOWAS Decision Support System (DSS) is an open-source web-service for
groundwater management applications, in particular managed aquifer recharge. It is …

Hydrostats: A Python package for characterizing errors between observed and predicted time series

W Roberts, GP Williams, E Jackson, EJ Nelson… - Hydrology, 2018‏ - mdpi.com
Hydrologists use a number of tools to compare model results to observed flows. These
include tools to pre-process the data, data frames to store and access data, visualization and …