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# Summary
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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) ![versions](https://img.shields.io/pypi/pyversions/hydra-core.svg) [![CodeStyle](https://img.shields.io/badge/code%20style-Black-black)]()
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This project explores the application of soil moisture signature ([Branger et al., 2019](https://doi.org/10.1002/hyp.13645); [Araki et al., 2020](https://onlinelibrary.wiley.com/doi/full/10.1002/hyp.14553)) to enhance streamflow and soil moisture prediction within a rainfall-runoff model.
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This repository hosts code to generate results for [Araki et al., (2025)](https://doi.org/10.1111/1752-1688.70002).
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This code is currently in development and does not guarantee to run yet.
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Araki, R., Ogden, F. L., & McMillan, H. K. (2025). Testing Soil Moisture Performance Measures in the Conceptual-Functional Equivalent to the WRF-Hydro National Water Model. Journal of the American Water Resources Association, 61(1), e70002. https://doi.org/10.1111/1752-1688.70002
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This project explores the application of soil moisture signature ([Branger et al., 2019](https://doi.org/10.1002/hyp.13645); [Araki et al., 2020](https://onlinelibrary.wiley.com/doi/full/10.1002/hyp.14553)) to enhance streamflow and soil moisture prediction within a rainfall-runoff model.
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## Installation
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Use conda to create your own env based on our ```environment.yml``` file
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Please make sure to update tests as appropriate.
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## Citation
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To cite this code, email the author raraki8159 at sdsu dot edu
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Araki, R., Ogden, F. L., & McMillan, H. K. (2025). Testing Soil Moisture Performance Measures in the Conceptual-Functional Equivalent to the WRF-Hydro National Water Model. Journal of the American Water Resources Association, 61(1), e70002. https://doi.org/10.1111/1752-1688.70002

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