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Hydrolang Community Resources

Table of Contents

Introduction

HydroLang-Models is created for the users of HydroLang to share their models, codes, and case studies to enable others to browse and build on top of, and thus creating a community. HydroLang, along with HydroLang-Models, are published on GitHub with MIT License available for use by the academics and professionals of the water domain all around the world.

Community Resources

Models

HydroLang users are encouraged to build and share predictive models suitable for hydrological use cases. Models can be uploaded into the respective hydrological subdomain's folder along with a brief description.

  • Evapotranspiration
  • Groundwater
  • Hazards
  • Precipitation
  • Runoff
  • Snow
  • Soil Moisture
  • Water Quality
  • Other

Models can be developed in HydroLang through two ways:

  • The native API.
  • BMI specification steering files.
  • HTML driven applications.

Please refer to the models page for more information.

Data

HydroLang allows users to retrieve, filter, process, and combine hydrological data from a variety of resources. Under this folder, the users can share their data retrieval scripts for future utilization and reference. Being data driven and with several options for retrieval, HydroLang data sources contain most variables that can be used for specific analyses. You can find more info in the following link.

Case Studies

One of the main goals of HydroLang is to simplify hydrological data retrieval, analysis, visualization, modeling, and mapping with readable, concise, and contained code, thanks to its comprehensive and modular design. HydroLang users can share their case study scripts for reproduction, modification, and feedback collection.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

This project is developed by the University of Iowa Hydroinformatics Lab (UIHI Lab):

https://hydroinformatics.uiowa.edu/.

And with the support of the Cosortium of Universities for the Advancement of Hydrological Science CUAHSI through the Hydroinformatics Innovation Fellowship.

References

  • Erazo Ramirez, C., Sermet, Y., Molkenthin, F., & Demir, I. (2022). HydroLang: An open-source web-based programming framework for hydrological sciences. Environmental Modelling & Software, 157, 105525. doi:10.1016/j.envsoft.2022.105525

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Created for HydroLang users to share their models, codes, and case studies to enable others to browse and build on top of.

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