Publications

Water Resources Research:  Herman, J. D., Quinn, J. D., Steinschneider, S., Giuliani, M., & Fletcher, S. (2019). Climate adaptation as a control problem: Review and perspectives on dynamic water resources planning under uncertainty. Water Resources Research, e24389. https://doi.org/10.1029/2019WR025502 Nguyen, H., Mehrotra,

Water Resources Research: Harken, B., Chang, C.‐F., Dietrich, P., Kalbacher, T., & Rubin, Y. ( 2019). Hydrogeological modeling and water resources management: Improving the link between data, prediction, and decision making. Water Resources Research, 55, 10340– 10357. https://doi.org/10.1029/2019WR025227 Gebler, S.,

Water Resources Research:  Yang, H. J., Boso, F., Tchelepi, H. A., & Tartakovsky, D. M. (2019). Probabilistic forecast of single‐phase flow in porous media with uncertain properties. Water Resources Research. https://doi.org/10.1029/2019WR026090 Koppa, A., Gebremichael, M., Zambon, R. C., Yeh, W. W.

Water Resources Research: Grimaldi, S., Schumann, G. P., Shokri, A., Walker, J. P., & Pauwels, V. R. N. (2019). Challenges, opportunities and pitfalls for global coupled hydrologic‐hydraulic modeling of floods. Water Resources Research. https://doi.org/10.1029/2018WR024289 Leach, J. A., & Moore, R.

Water Resources Research: Tang, Y., Marshall, L., Sharma, A., Ajami, H., & Nott, D. J. (2019). Ecohydrologic error models for improved Bayesian inference in remotely sensed catchments. Water Resources Research. https://doi.org/10.1029/2019WR025055 Brunner, M. I., Hingray, B., Zappa, M., & Favre,

Water Resources Research: Prieto, C., Le Vine, N., Kavetski, D., García, E., & Medina, R. (May 2019). Flow prediction in ungauged catchments using probabilistic random forests regionalization and new statistical adequacy tests. Water Resources Research, 55, 4364– 4392. https://doi.org/10.1029/2018WR023254 Zhao,

This Page is updated every month. Please visit the website regularly to see the latest publications about ‘Hydrologic Uncertainty’. Water Resources Research: Abbaszadeh, P., Moradkhani, H., & Daescu, D. N. (February 2019). The Quest for Model Uncertainty Quantification: A Hybrid