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Community Streamflow Evaluation System (CSES)


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Created: May 20, 2025 at 4:45 a.m.
Last updated: May 20, 2025 at 4:45 a.m.
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Abstract

Given the launch of the Cooperative Institute for Research to Operations in Hydrology (CIROH) in April, 2020, CIROH scientists from 28 different academic, government, and private are working to improve the understanding of hydrologic processes, operational hydrologic forecasting techniques and workflows, community water modeling, translation of forecasts to actionable products, and use of water predictions in decision making. National-scale streamflow modeling remains a modern challenge, as changes in the underlying hydrology from land use and land cover (LULC) change, anthropogentic streamflow modification, and general process components (reach length, hydrogeophysical processes, precipitation, temperature, etc) greatly influence hydrological modeling. To benchmark model performance, characterize improvements in hydrological modeling formuations, and generate reproducible science, the team at the Alabama Water Institute (AWI) developed Community Streamflow Evaluation System (CSES) to originally characterize the water supply forecasting skill of the National Water Model v2.1 (NWM v3.0 coming soon!) in the Great Salt Lake Basin. The tool quickly scaled and with the support of the Earth Science Information Partners (ESIP), provided an opportunity to turn the novel evaluation platform into a web application. This GitHub repository contains the code to create an innovative Tethys Web Platform to share our research tools with the great research and operational hydrological community. By using CSES, researchers and practitioners can interact with model outputs and evaluate the performance of hydrological models (currently the NWM v2.1) for their region.

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This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Oceanic and Atmospheric Administration (NOAA), University of Alabama CIROH: Enabling collaboration through data and model sharing with CUAHSI HydroShare NA22NWS4320003 to University of Alabama, subaward A23-0266-S001 to Utah State University

How to Cite

Romero, E. (2025). Community Streamflow Evaluation System (CSES), HydroShare, http://www.hydroshare.org/resource/75a8ccf3ba334c16b8982fa536472e07

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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