Tri-Space Modeling and Visualization: Concept, Implementation, and a Case Study in Wildfire Recovery
André Skupin
San Diego State University, San Diego, USA
Timothy M. Schempp
San Diego State University, San Diego, USA
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André Skupin
Abstr. Int. Cartogr. Assoc., 8, 23, https://doi.org/10.5194/ica-abs-8-23-2024, https://doi.org/10.5194/ica-abs-8-23-2024, 2024
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Abstr. Int. Cartogr. Assoc., 6, 239, https://doi.org/10.5194/ica-abs-6-239-2023, https://doi.org/10.5194/ica-abs-6-239-2023, 2023
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Short summary
Short summary
Regression models were developed to predict streamflow variables (i.e. flow duration curve percentile flows) for the contiguous US. Over 35 independent variables were evaluated, but only three selected through an expert assessment performed better than most combinations of the other variables. Simple regression models consisting of annual precipitation, potential evapotranspiration, and baseflow were converted into a tool for predicting percentile flows for ungauged basins in the contiguous US.
André Skupin
Abstr. Int. Cartogr. Assoc., 8, 23, https://doi.org/10.5194/ica-abs-8-23-2024, https://doi.org/10.5194/ica-abs-8-23-2024, 2024
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Abstr. Int. Cartogr. Assoc., 6, 239, https://doi.org/10.5194/ica-abs-6-239-2023, https://doi.org/10.5194/ica-abs-6-239-2023, 2023
Geoffrey Fouad, André Skupin, and Christina L. Tague
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-639, https://doi.org/10.5194/hess-2016-639, 2016
Revised manuscript not accepted
Short summary
Short summary
Regression models were developed to predict streamflow variables (i.e. flow duration curve percentile flows) for the contiguous US. Over 35 independent variables were evaluated, but only three selected through an expert assessment performed better than most combinations of the other variables. Simple regression models consisting of annual precipitation, potential evapotranspiration, and baseflow were converted into a tool for predicting percentile flows for ungauged basins in the contiguous US.