46 citations as recorded by crossref.

1. Introductory overview: Recommendations for approaching scientific visualization with large environmental datasets C. Kelleher & A. Braswell 10.1016/j.envsoft.2021.105113
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3. Hydro Explorer: An interactive web app to investigate changes in runoff timing and runoff seasonality all over the world E. Rottler et al. 10.1002/rra.3772
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5. Tool-Driven Revolutions in Archaeological Science S. Schmidt & B. Marwick 10.5334/jcaa.29
6. 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. 10.1029/2021WR031753
7. Remotely sensed rivers in the Anthropocene: state of the art and prospects H. Piégay et al. 10.1002/esp.4787
8. Green infrastructure: The future of urban flood risk management? D. Green et al. 10.1002/wat2.1560
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10. An open web‐based module developed to advance data‐driven hydrologic process learning B. Lane et al. 10.1002/hyp.14273
11. Global BROOK90 R Package: An Automatic Framework to Simulate the Water Balance at Any Location I. Vorobevskii et al. 10.3390/w12072037
12. 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. 10.1016/j.envsoft.2022.105497
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15. Open-Source Data Alternatives and Models for Flood Risk Management in Nepal S. Thakuri et al. 10.3390/rs14225660
16. 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. 10.1016/j.nhres.2023.04.004
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18. Towards fast prototyping of cloud-based environmental decision support systems for environmental scientists using R Shiny and Docker Y. Li 10.1016/j.envsoft.2020.104797
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20. An R package of maximum entropy production model to estimate 41 years of global evapotranspiration Y. Yang et al. 10.1016/j.jhydrol.2022.128639
21. Correlations between water quality and precipitation in areas with different levels of human occupation L. Rodrigues et al. 10.1007/s42108-020-00097-y
22. riversCentralAsia: An R package to support data pre- and postprocessing for hydrological modelling with RS MINERVE B. Marti & T. Siegfried 10.21105/joss.04805
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24. The transfR toolbox for transferring observed streamflow series to ungauged basins based on their hydrogeomorphology A. de Lavenne et al. 10.1016/j.envsoft.2022.105562
25. Can-GLWS: Canadian Great Lakes Weather Service for the Soil and Water Assessment Tool (SWAT) modelling N. Shrestha et al. 10.1016/j.jglr.2020.10.009
26. Performance of HEC-HMS and SWAT to simulate streamflow in the sub-humid tropical Hemavathi catchment N. Sanjay Shekar & D. Vinay 10.2166/wcc.2021.072
27. airGRteaching: an open-source tool for teaching hydrological modeling with R O. Delaigue et al. 10.5194/hess-27-3293-2023
28. Rainfall-runoff modeling using airGR and airGRteaching: application to a catchment in Northeast Algeria S. Yahiaoui et al. 10.1007/s40808-022-01444-0
29. SanAntonioApp: interactive visualization and repository of spatially distributed flow duration curves of the San Antonio Creek - Uruguay R. Navas et al. 10.31285/AGRO.26.979
30. Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces Y. Choi et al. 10.1016/j.envsoft.2020.104888
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33. A Near Real-Time Hydrological Information System for the Upper Danube Basin T. Pulka et al. 10.3390/hydrology8040144
34. anem: A Simple Web‐Based Platform to Build Stakeholder Understanding of Groundwater Behavior G. Penny et al. 10.1111/gwat.13043
35. Farm simulation platforms increase undergraduate skills and confidence in decision‐support technologies A. Basche et al. 10.1002/nse2.20058
36. Evaluating the ability of numerical models to capture important shifts in environmental time series: A fuzzy change point approach M. Hollaway et al. 10.1016/j.envsoft.2021.104993
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38. Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective P. Astagneau et al. 10.5194/hess-25-3937-2021
39. The importance of open science for biological assessment of aquatic environments M. Beck et al. 10.7717/peerj.9539
40. An open‐source automated workflow to delineate storm events and evaluate concentration‐discharge relationships D. Millar et al. 10.1002/hyp.14456
41. Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering R. Muñoz-Carpena et al. 10.1371/journal.pwat.0000059
42. RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling R. Chlumsky et al. 10.5194/gmd-15-7017-2022
43. Machine learning approach towards explaining water quality dynamics in an urbanised river B. Schäfer et al. 10.1038/s41598-022-16342-9
44. pRecipe: A global precipitation climatology toolbox and database M. Vargas Godoy & Y. Markonis 10.1016/j.envsoft.2023.105711
45. M-LASH: Hydrological and computational enhancements of the LASH model M. Vargas et al. 10.1016/j.envsoft.2023.105774
46. Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges N. Addor et al. 10.1080/02626667.2019.1683182