The HydroCouple project is a cross platform component-based modeling framework for integrated modeling in the environmental and earth systems modeling field. It is developed using C++ and its interface definitions aro better support simulations on HPC infrastructure, standard geospatial dataset formats, and customizable data exchange workflows.

Join our GitHub repository to contribute and use the growing list of compliant model components.

Explore HydroCouple's Interface Definitions

Software Stack


Components


Publications


Mihalevich, B.A., Neilson, B.T., Buahin, C.A., 2022. Evaluation of the ERA5-Land Reanalysis Data Set for Process-Based River Temperature Modeling Over Data Sparse and Topographically Complex Regions. Water Resources Research 58, e2021WR031294. https://doi.org/10.1029/2021WR031294
Leach, J.A., Moore, R.D., Laudon, H., Buahin, C.A., Neilson, B.T., 2022. Do headwater lakes moderate downstream temperature response to forest harvesting? Illustrating opportunities and obstacles associated with virtual experiments. Hydrological Processes 36, e14593. https://doi.org/10.1002/hyp.14593
Leach, J.A., Neilson, B.T., Buahin, C.A., Moore, R.D., Laudon, H., 2021. Lake Outflow and Hillslope Lateral Inflows Dictate Thermal Regimes of Forested Streams Draining Small Lakes. Water Resources Research 57, e2020WR028136. https://doi.org/10.1029/2020WR028136
Mihalevich, B.A., Neilson, B.T., Buahin, C.A., Yackulic, C.B., Schmidt, J.C., 2020. Water Temperature Controls for Regulated Canyon-Bound Rivers. Water Resources Research 56, e2020WR027566. https://doi.org/10.1029/2020WR027566
Buahin, C.A., Horsburgh, J.S., Neilson, B.T., 2019. Parallel multi-objective calibration of a component-based river temperature model. Environmental Modelling & Software 116, 57–71. https://doi.org/10.1016/j.envsoft.2019.02.012
Buahin, C.A., Horsburgh, J.S., 2018. Advancing the Open Modeling Interface (OpenMI) for integrated water resources modeling. Environmental Modelling & Software 108, 133–153. https://doi.org/10.1016/j.envsoft.2018.07.015

Support


The material presented here was supported by National Science Foundation EPSCoR Grant IIA 1208732 awarded to Utah State University as part of the State of Utah EPSCoR Research Infrastructure Improvement Award. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.