57 citations as recorded by crossref.

1. Introductory overview: Recommendations for approaching scientific visualization with large environmental datasets C. Kelleher & A. Braswell
2. Affinity propagation approach for catchment classification applied to arid catchments A. Hidayatulloh et al.
3. Advancing simulations of water fluxes, soil moisture and drought stress by using the LWF-Brook90 hydrological model in R P. Schmidt-Walter et al.
4. Exploratory Assessment of Short-Term Antecedent Modeled Flow Memory in Shaping Macroinvertebrate Diversity: Integrating Satellite-Derived Precipitation and Rainfall-Runoff Modeling in a Remote Andean Micro-Catchment G. Sotomayor et al.
5. Tool-Driven Revolutions in Archaeological Science S. Schmidt & B. Marwick
6. Green infrastructure: The future of urban flood risk management? D. Green et al.
7. A Technical Note on the Application of a Water Budget Model at Regional Scale: A Water Manager’s Approach towards a Sustainable Water Resources Management S. Passaretti et al.
8. Rational gaze: Presenting the open-source HYPEtools R package for analysis, visualization, and interpretation of hydrological models and datasets C. Brendel et al.
9. An open web‐based module developed to advance data‐driven hydrologic process learning B. Lane et al.
10. An interactive graphical interface tool for parameter calibration, sensitivity analysis, uncertainty analysis, and visualization for the Soil and Water Assessment Tool T. Nguyen et al.
11. How you teach changes who you reach: understanding the effect of teaching modality on engagement, interest, and learning in hydrology C. Georgakakos & J. Knighton
12. Open-Source Data Alternatives and Models for Flood Risk Management in Nepal S. Thakuri et al.
13. An innovative approach for predicting groundwater TDS using optimized ensemble machine learning algorithms at two levels of modeling strategy H. Elzain et al.
14. Towards fast prototyping of cloud-based environmental decision support systems for environmental scientists using R Shiny and Docker Y. Li
15. A hydrologist's guide to open science C. Hall et al.
16. The transfR toolbox for transferring observed streamflow series to ungauged basins based on their hydrogeomorphology A. de Lavenne et al.
17. Performance of HEC-HMS and SWAT to simulate streamflow in the sub-humid tropical Hemavathi catchment N. Sanjay Shekar & D. Vinay
18. Machine Learning Enabled Smart Sensor Node for Evapotranspiration Prediction in Diverse Soil and Environmental Conditions W. Afridi et al.
19. airGRteaching: an open-source tool for teaching hydrological modeling with R O. Delaigue et al.
20. SanAntonioApp R. Navas et al.
21. Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces Y. Choi et al.
22. A Near Real-Time Hydrological Information System for the Upper Danube Basin T. Pulka et al.
23. deeptime: an R package that facilitates highly customizable and reproducible visualizations of data over geological time intervals W. Gearty
24. anem: A Simple Web‐Based Platform to Build Stakeholder Understanding of Groundwater Behavior G. Penny et al.
25. Evaluating the ability of numerical models to capture important shifts in environmental time series: A fuzzy change point approach M. Hollaway et al.
26. Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective P. Astagneau et al.
27. The importance of open science for biological assessment of aquatic environments M. Beck et al.
28. An open‐source automated workflow to delineate storm events and evaluate concentration‐discharge relationships D. Millar et al.
29. Machine learning approach towards explaining water quality dynamics in an urbanised river B. Schäfer et al.
30. pRecipe: A global precipitation climatology toolbox and database M. Vargas Godoy & Y. Markonis
31. M-LASH: Hydrological and computational enhancements of the LASH model M. Vargas et al.
32. Hydro Explorer: An interactive web app to investigate changes in runoff timing and runoff seasonality all over the world E. Rottler et al.
33. Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating Model‐Agnostic and Model‐Specific Configuration Steps in Applications of Large‐Domain Hydrologic Models W. Knoben et al.
34. Remotely sensed rivers in the Anthropocene: state of the art and prospects H. Piégay et al.
35. Global BROOK90 R Package: An Automatic Framework to Simulate the Water Balance at Any Location I. Vorobevskii et al.
36. On constraining a lumped hydrological model with both piezometry and streamflow: results of a large sample evaluation A. Pelletier & V. Andréassian
37. Assessment of flooding in future periods using the flow of the watershed (Case study: west and south of the Urmia watershed) M. Jahangir et al.
38. Simulating the Runoff of Watersheds in Dry Areas on A Monthly Scale using the SWAT Model (Case Study: Lar Watershed) M. Kiyani Majd et al.
39. evapoRe: An R-based application for exploratory data analysis of evapotranspiration A. Ziveh et al.
40. An R package of maximum entropy production model to estimate 41 years of global evapotranspiration Y. Yang et al.
41. Correlations between water quality and precipitation in areas with different levels of human occupation L. Rodrigues et al.
42. riversCentralAsia: An R package to support data pre- and postprocessing for hydrological modelling with RS MINERVE B. Marti & T. Siegfried
43. Multi-objective calibration by combination of stochastic and gradient-like parameter generation rules – the caRamel algorithm C. Monteil et al.
44. Can-GLWS: Canadian Great Lakes Weather Service for the Soil and Water Assessment Tool (SWAT) modelling N. Shrestha et al.
45. Rainfall-runoff modeling using airGR and airGRteaching: application to a catchment in Northeast Algeria S. Yahiaoui et al.
46. Hydrostreamer v1.0 – improved streamflow predictions for local applications from an ensemble of downscaled global runoff products M. Kallio et al.
47. From permits to policy: insights from an analysis of Ontario’s open water permit data (1960–2022) S. Saadi & C. Johns
48. Hard and soft clustering methods employed in groundwater research: A systematic review A. Rahbar et al.
49. Challenges in modeling and predicting floods and droughts: A review M. Brunner et al.
50. Farm simulation platforms increase undergraduate skills and confidence in decision‐support technologies A. Basche et al.
51. Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro
52. EvalHyd v0.1.2: a polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions T. Hallouin et al.
53. Introduction to Reproducible Geospatial Analysis and Figures in R: A Tutorial Article P. Maesen & E. Salingros
54. Towards an improved language for river data analysis: Demonstration for the highly-regulated Ohio River basin G. Atreya et al.
55. Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering R. Muñoz-Carpena et al.
56. RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling R. Chlumsky et al.
57. Revisiting the tension water storage capacity distribution in conceptual rainfall-runoff modeling: A large-sample approach Y. Zhou et al.