RAPIDpy

Documentation: http://rapidpy.readthedocs.io/en/latest

RAPIDpy is a python interface for RAPID that assists to prepare inputs, runs the RAPID program, and provides post-processing utilities. More information about installation and the input parameters for RAPID can be found at http://rapid-hub.org.

The source code for RAPID is located at https://github.com/c-h-david/rapid/.

Credit

• The development of RAPIDpy was funded by ERDC.
• The pre-processing GIS tools and the inflow tools in RAPIDpy are based on the ESRI RAPID Toolbox (https://github.com/Esri/python-toolbox-for-rapid).

How the Inflow and GIS tools work:

Snow, Alan D., Scott D. Christensen, Nathan R. Swain, E. James Nelson, Daniel P. Ames, Norman L. Jones, Deng Ding, Nawajish S. Noman, Cedric H. David, Florian Pappenberger, and Ervin Zsoter, 2016. A High-Resolution National-Scale Hydrologic Forecast System from a Global Ensemble Land Surface Model. Journal of the American Water Resources Association (JAWRA) 1-15, DOI: 10.1111/1752-1688.12434 https://onlinelibrary.wiley.com/doi/full/10.1111/1752-1688.12434

Snow, Alan Dee, "A New Global Forecasting Model to Produce High-Resolution Stream Forecasts" (2015). All Theses and Dissertations. Paper 5272. http://scholarsarchive.byu.edu/etd/5272

Publications using RAPID and RAPIDpy:

Tavakoly, A. A., A. D. Snow, C. H. David, M. L. Follum, D. R. Maidment, and Z.-L. Yang, (2016) "Continental-Scale River Flow Modeling of the Mississippi River Basin Using High-Resolution NHDPlus Dataset", Journal of the American Water Resources Association (JAWRA) 1-22. DOI: 10.1111/1752-1688.12456

Datasets produced using RAPID and RAPIDpy:

Ahmad A Tavakoly. (2017). RAPID input files corresponding to the Mississippi River Basin using the NHDPlus v2 Dataset [Data set]. Zenodo. http://doi.org/10.5281/zenodo.322886 |Mississippi Dataset DOI|

.. |Mississippi Dataset DOI| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.322886.svg :target: https://doi.org/10.5281/zenodo.322886

Other tools to prepare input for RAPID

• For ESRI users: https://github.com/Esri/python-toolbox-for-rapid
• Modified version of the ESRI RAPID Toolbox: https://github.com/erdc/python-toolbox-for-rapid
• For the NHDPlus dataset: https://github.com/c-h-david/RRR