Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning von Kratzert, Frederik, Klotz, Daniel, Herrnegger, Mathew, Sampson, Alden K., Hochreiter, Sepp, Nearing, Grey S.

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What Role Does Hydrological Science Play in the Age of Machine Learning? von Nearing, Grey S., Kratzert, Frederik, Sampson, Alden Keefe, Pelissier, Craig S., Klotz, Daniel, Frame, Jonathan M., Prieto, Cristina, Gupta, Hoshin V.

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Deep learning rainfall–runoff predictions of extreme events von Frame, Jonathan M, Kratzert, Frederik, Klotz, Daniel, Gauch, Martin, Shelev, Guy, Gilon, Oren, Qualls, Logan M, Gupta, Hoshin V, Nearing, Grey S

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Post‐Processing the National Water Model with Long Short‐Term Memory Networks for Streamflow Predictions and Model Diagnostics von Frame, Jonathan M., Kratzert, Frederik, Raney, Austin, Rahman, Mashrekur, Salas, Fernando R., Nearing, Grey S.

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The quantity and quality of information in hydrologic models von Nearing, Grey S., Gupta, Hoshin V.

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Information Theory for Model Diagnostics: Structural Error is Indicated by Trade‐Off Between Functional and Predictive Performance von Ruddell, Benjamin L., Drewry, Darren T., Nearing, Grey S.

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Debates-the future of hydrological sciences: A (common) path forward? Using models and data to learn: A systems theoretic perspective on the future of hydrological science von Gupta, Hoshin V., Nearing, Grey S.

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Benchmarking and Process Diagnostics of Land Models von Nearing, Grey S., Ruddell, Benjamin L., Clark, Martyn P., Nijssen, Bart, Peters-Lidard, Christa

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A note on leveraging synergy in multiple meteorological data sets with deep learning for rainfall–runoff modeling von Kratzert, Frederik, Klotz, Daniel, Hochreiter, Sepp, Nearing, Grey S

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On strictly enforced mass conservation constraints for modelling the Rainfall‐Runoff process von Frame, Jonathan M., Kratzert, Frederik, Gupta, Hoshin V., Ullrich, Paul, Nearing, Grey S.

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Does Information Theory Provide a New Paradigm for Earth Science? Hypothesis Testing von Nearing, Grey S., Ruddell, Benjamin L., Bennett, Andrew R., Prieto, Cristina, Gupta, Hoshin V.

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Saturated mutagenesis of ketoisovalerate decarboxylase V461 enabled specific synthesis of 1-pentanol via the ketoacid elongation cycle von Chen, Grey S., Siao, Siang Wun, Shen, Claire R.

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The Impact of Vertical Measurement Depth on the Information Content of Soil Moisture for Latent Heat Flux Estimation von Qiu, Jianxiu, Crow, Wade T., Nearing, Grey S.

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Association of sarcopenic obesity with multimorbidity: cross-sectional study of UK Biobank cohort von Guerrero-Wyss, M., Alsowail, A, Ho, F, Jani, B., Grey, S., Celis-Morales, C

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Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions von Nearing, Grey S., Mocko, David M., Peters-Lidard, Christa D., Kumar, Sujay V., Xia, Youlong

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Multicenter Australian Trial of Islet Transplantation: Improving Accessibility and Outcomes von O'Connell, P. J., Holmes‐Walker, D. J., Goodman, D., Hawthorne, W. J., Loudovaris, T., Gunton, J. E., Thomas, H. E., Grey, S. T., Drogemuller, C. J., Ward, G. M., Torpy, D. J., Coates, P. T., Kay, T. W.

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A philosophical basis for hydrological uncertainty von Nearing, Grey S., Tian, Yudong, Gupta, Hoshin V., Clark, Martyn P., Harrison, Kenneth W., Weijs, Steven V.

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Engineering efficient production of itaconic acid from diverse substrates in Escherichia coli von Chang, Peiching, Chen, Grey S., Chu, Hsiang-Yuan, Lu, Ken W., Shen, Claire R.

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impact of vertical measurement depth on the information content of soil moisture times series data von Qiu, Jianxiu, Crow, Wade T, Nearing, Grey S, Mo, Xingguo, Liu, Suxia

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Parameter Sensitivity of the Noah-MP Land Surface Model with Dynamic Vegetation von Arsenault, Kristi R., Nearing, Grey S., Wang, Shugong, Yatheendradas, Soni, Peters-Lidard, Christa D.

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