| A ranking of hydrological signatures based on their predictability in space N Addor, G Nearing, C Prieto, AJ Newman, N Le Vine, MP Clark Water Resources Research 54 (11), 8792-8812, 2018 | 208 | 2018 |
| Flow prediction in ungauged catchments using probabilistic random forests regionalization and new statistical adequacy tests C Prieto, N Le Vine, D Kavetski, E García, R Medina Water Resources Research 55 (5), 4364-4392, 2019 | 87 | 2019 |
| The role of rating curve uncertainty in real‐time flood forecasting D Ocio, N Le Vine, I Westerberg, F Pappenberger, W Buytaert Water Resources Research 53 (5), 4197-4213, 2017 | 51 | 2017 |
| Diagnosing hydrological limitations of a land surface model: application of JULES to a deep-groundwater chalk basin N Le Vine, A Butler, N McIntyre, C Jackson Hydrology and Earth System Sciences 20 (1), 143-159, 2016 | 29 | 2016 |
| Accounting for dependencies in regionalized signatures for predictions in ungauged catchments S Almeida, N Le Vine, N McIntyre, T Wagener, W Buytaert Hydrology and Earth System Sciences 20 (2), 887-901, 2016 | 23 | 2016 |
| Selection of hydrological signatures for large-sample hydrology N Addor, GS Nearing, C Prieto, AJ Newman, N Le Vine, MP Clark EarthArXiv, 2018 | 10 | 2018 |
| Identification of dominant hydrological mechanisms using Bayesian inference, multiple statistical hypothesis testing, and flexible models C Prieto, D Kavetski, N Le Vine, C Álvarez, R Medina Water Resources Research 57 (8), e2020WR028338, 2021 | 7 | 2021 |
| An exploration of Bayesian identification of dominant hydrological mechanisms in ungauged catchments C Prieto, N Le Vine, D Kavetski, F Fenicia, A Scheidegger, C Vitolo Water Resources Research 58 (3), e2021WR030705, 2022 | 6 | 2022 |
| Combining information from multiple flood projections in a hierarchical Bayesian framework N Le Vine Water Resources Research 52 (4), 3258-3275, 2016 | 4 | 2016 |
| On the information content of hydrological signatures and their relationship to catchment attributes N Addor, MP Clark, C Prieto, AJ Newman, N Mizukami, G Nearing, ... EGU General Assembly Conference Abstracts, 9718, 2017 | 1 | 2017 |
| Can we identify dominant hydrological mechanisms in ungauged catchments? C Prieto, N Le Vine, D Kavetski, F Fenicia, A Scheidegger, C Vitolo EGU24, 2024 | | 2024 |
| Advances in the identification of dominant hydrological mechanisms in ungauged catchments C Sierra, N Le Vine, D Kavetski, F Fenicia, A Scheidegger, C Vitolo AGU23, 2024 | | 2024 |
| An Exploration of Bayesian Identification of Dominant Hydrological Mechanisms in Ungauged Catchments C Prieto Sierra, N Le Vine, D Kavetski, F Fenicia, A Scheidegger, C Vitolo American Geophysical Union, 2022 | | 2022 |
| Identification of Dominant Hydrological Mechanisms Using Bayesian Inference, Multiple Statistical Hypothesis Testing, and Flexible Models C Prieto Sierra, D Kavetski, N Le Vine, C Álvarez Díaz, ... American Geophysical Union, 2021 | | 2021 |
| Model adequacy tests for improving predictions in ungauged basins C Prieto, N Le Vine, D Kavetski, C Álvarez, R Medina EGU General Assembly Conference Abstracts, 205, 2020 | | 2020 |
| Towards reducing model error in flow predictions in ungauged basins via a Bayesian approach C Prieto, N Le Vine, D Kavetski, E García, C Álvarez, R Medina 11th World Congress on Water Resources nd Environment: Managing Water …, 2019 | | 2019 |
| Wildfires: Triggers, Predictability, and Impact Assessment Posters C Klose, SV Nghiem, SH Kim, N Le Vine, AJ Soja, J Kim, S Jia AGU Fall Meeting 2018, 2018 | | 2018 |
| Improving Wildfire Predictability via Machine Learning N Le Vine, Z El Hjouji, L Lecluse, C Klose AGU Fall Meeting 2018, 2018 | | 2018 |
| Improving Wildfire Predictability via Machine Learning C Klose, N Le Vine, Z El Hjouji, L Lecluse AGU Fall Meeting Abstracts 2018, NH23E-0898, 2018 | | 2018 |
| Identification of dominant hydrological mechanisms for ungauged basins via bayesian approach C Prieto, N Le Vine, D Kavetski, C Vitolo, E García, R Medina, C Álvarez EGU General Assembly Conference Abstracts, 12114, 2018 | | 2018 |
