Flow-Conditioned Parameter Grids (FCPGs) are a way of storing the upstream average of datasets, such as precipitation or land cover type, for all points on the landscape.
This project works to formalize methods of generating these grids and provides a pilot suite of FCPGs for other projects to experiment with. FCPGs can be used to train and drive statistical, machine learning, and physical hydrologic models. This research is supported by the StreamStats project, the Community for Data Integration, and the PROSPER project.
Objectives
- Formalize and release software to generate FCPGs.
- Generate and release a pilot suite of FCPGs.
- Research new FCPG creation methods.
Important links
StreamStats: Streamflow Statistics and Spatial Analysis Tools for Water-Resources Applications
Community for Data Integration (CDI)
Probability of Streamflow Permanence (PROSPER)
- Overview
Flow-Conditioned Parameter Grids (FCPGs) are a way of storing the upstream average of datasets, such as precipitation or land cover type, for all points on the landscape.
Sources/Usage: Public Domain.Example FCPG showing stream cells with upstream average annual precipitation. This project works to formalize methods of generating these grids and provides a pilot suite of FCPGs for other projects to experiment with. FCPGs can be used to train and drive statistical, machine learning, and physical hydrologic models. This research is supported by the StreamStats project, the Community for Data Integration, and the PROSPER project.
Objectives
- Formalize and release software to generate FCPGs.
- Generate and release a pilot suite of FCPGs.
- Research new FCPG creation methods.
Important links
StreamStats: Streamflow Statistics and Spatial Analysis Tools for Water-Resources Applications
Community for Data Integration (CDI)
Probability of Streamflow Permanence (PROSPER)