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.
Hallway Conversations – Martyn Clark
A –Streams of Thought– contribution by Sina Khatami (SK) Martyn is a Professor of Hydrology at the University of Saskatchewan, Associate Director of the University of Saskatchewan’s Centre for Hydrology and the Canmore Coldwater Laboratory, Editor-in-Chief of Water Resources Research, and
Latest Publications on ‘Hydrologic Uncertainty’ – June 2019
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,
Hallway Conversations – Grey Nearing
A –Streams of Thought– contribution by Sina Khatami. Asst/Prof. Grey Nearing is a hydrologist at the Department of Geological Sciences at The University of Alabama (UA). Prior to joining UA, he has worked as Project Scientist at the National Center for
Latest Publications on ‘Hydrologic Uncertainty’ – May 2019
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,
Latest publications on ‘Hydrologic Uncertainty’ – April 2019
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
UQ Workshop
I would like to bring to your attention the UQ workshop that will be held this September in Italy. Below is the workshop description copied from the workshop website available at https://frontuq18.org/. The second edition of the outreach workshop “Frontiers
Grand challenges
Substantial progress has been made in the last several decades for quantification and communication of hydrologic uncertainty (uncertainty quantification here is in a broad sense, including parameter estimation, sensitivity analysis, uncertainty propagation, and experimental data and data-worth analysis for uncertainty
Grey’s view on grand challenge
As for a ‘grand challenge’, I see the biggest open challenge as about how to build models that learn. That is, how do we leverage the power of machine learning and modern inference techniques for learning multi-scale physical and emergent
Grey’s Writing on Game Changers for Hydrologic Uncertainty Analysis
This is a great start. We may build a list, and then select for the top three or top ten. First successful automatic calibration of a hydrology model: Duan, Q., S. Sorooshian, and V. Gupta (1992), Effective and efficient global