"Machine learning surrogates for efficient hydrologic modeling: Insights ..."

Timothy Dai, Kate Maher, Zach Perzan (2024)

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DOI: 10.48550/ARXIV.2407.20902

access: open

type: Informal or Other Publication

metadata version: 2024-10-06

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  - journals/corr/abs-2407-20902
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  - https://dblp.org/rec/journals/corr/abs-2407-20902
Timothy Dai, Kate Maher, Zach Perzan:
Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge. CoRR abs/2407.20902 (2024)

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