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National Hydrologic Simulation Database
This database includes simulation input and outputs from the ParFlow CONUS 1 and 2 models for use in connection with the HydroGEN system for hydrological modeling. More information on these models can be found at https://hydroframe.org/parflow-conus1 and https://hydroframe.org/parflow-conus2. ParFlow is one of the most physically rigorous hydrologic...
Published: 8/23/2024
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Inventor(s): Laura Condon, Andrew Bennett, Amy Johnson, Reed Maxwell, William Hasling, Amy Defnet, Danielle Tijerina, Chen Yang
Keywords(s):
Category(s): Technology Classifications > Energy, Cleantech & Environmental, Technology Classifications > Software & Information Technology, Technology Classifications > Software & Information Technology > Databases & Data Mining, Technology Classifications > Agriculture & Horticulture
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HydroData Toolkit
HydroData is a python package and toolkit for working with point observations and gridded model datasets of hydrologic systems in the United States for use in connection with the HydroGEN system for hydrological modeling. HydroData is available at https://hydroframe.org/hydrodata. The goal in developing the HydroData toolkit was to evaluate watershed...
Published: 8/23/2024
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Inventor(s): Laura Condon, Nirav Merchant, Amy Johnson, Edwin Skidmore, Reed Maxwell, William Hasling, Amy Defnet, George Artavanis
Keywords(s):
Category(s): Technology Classifications > Energy, Cleantech & Environmental, Technology Classifications > Software & Information Technology, Technology Classifications > Agriculture & Horticulture
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HydroGEN Forecast Generator
HydroGEN is a web-based platform for hydrologic simulation utilizing advanced machine learning algorithms and current data to provide accurate forecasts to water managers and other decision makers. The HydroGEN Forecast Generator is a workflow that builds a hydrologic model for any watershed in the United States and seasonal runs forecasts using a machine...
Published: 8/23/2024
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Inventor(s): Laura Condon, Nirav Merchant, Amy Johnson, Reed Maxwell, Peter Melchior, Jill Williams, Will Lytle, Edwin Skidmore, Yueling Ma, Elena Leonarduzzi, Andrew Bennett, Luis De la Fuente
Keywords(s):
Category(s): Technology Classifications > Energy, Cleantech & Environmental, Technology Classifications > Software & Information Technology, Technology Classifications > Agriculture & Horticulture
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