Found: 97
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Modelling climate impact on floods with ensemble climate projections.
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- Quarterly Journal of the Royal Meteorological Society, 2013, v. 139, n. 671, p. 282, doi. 10.1002/qj.1998
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- Article
Developing water supply reservoir operating rules for large-scale hydrological modelling.
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- Hydrology & Earth System Sciences Discussions, 2024, p. 1
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- Article
An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis.
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- Water Resources Research, 2024, v. 60, n. 1, p. 1, doi. 10.1029/2022WR033808
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Incorporating Uncertainty Into Multiscale Parameter Regionalization to Evaluate the Performance of Nationally Consistent Parameter Fields for a Hydrological Model.
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- Water Resources Research, 2021, v. 57, n. 10, p. 1, doi. 10.1029/2020WR028393
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- Article
The Abuse of Popular Performance Metrics in Hydrologic Modeling.
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- Water Resources Research, 2021, v. 57, n. 9, p. 1, doi. 10.1029/2020WR029001
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- Article
The Spatial Dynamics of Droughts and Water Scarcity in England and Wales.
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- Water Resources Research, 2020, v. 56, n. 9, p. 1, doi. 10.1029/2020WR027187
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- Article
Simulating Runoff Under Changing Climatic Conditions: A Framework for Model Improvement.
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- Water Resources Research, 2018, v. 54, n. 12, p. 9812, doi. 10.1029/2018WR023989
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- Article
A Comparison of Methods for Streamflow Uncertainty Estimation.
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- Water Resources Research, 2018, v. 54, n. 10, p. 7149, doi. 10.1029/2018WR022708
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A Quantitative Hydrological Climate Classification Evaluated With Independent Streamflow Data.
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- Water Resources Research, 2018, v. 54, n. 7, p. 5088, doi. 10.1029/2018WR022913
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- Article
Quantifying local rainfall dynamics and uncertain boundary conditions into a nested regional-local flood modeling system.
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- Water Resources Research, 2017, v. 53, n. 4, p. 2770, doi. 10.1002/2016WR019903
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Reply to comment by Añel on 'Most computational hydrology is not reproducible, so is it really science?'.
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- Water Resources Research, 2017, v. 53, n. 3, p. 2575, doi. 10.1002/2017WR020480
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Reply to comment by Melsen et al. on 'Most computational hydrology is not reproducible, so is it really science?'.
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- Water Resources Research, 2017, v. 53, n. 3, p. 2570, doi. 10.1002/2017WR020476
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- Article
Quantifying the importance of spatial resolution and other factors through global sensitivity analysis of a flood inundation model.
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- Water Resources Research, 2016, v. 52, n. 11, p. 9146, doi. 10.1002/2015WR018198
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- Article
Most computational hydrology is not reproducible, so is it really science?
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- Water Resources Research, 2016, v. 52, n. 10, p. 7548, doi. 10.1002/2016WR019285
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- Article
Improving the theoretical underpinnings of process-based hydrologic models.
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- Water Resources Research, 2016, v. 52, n. 3, p. 2350, doi. 10.1002/2015WR017910
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- Article
Uncertainty in hydrological signatures for gauged and ungauged catchments.
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- Water Resources Research, 2016, v. 52, n. 3, p. 1847, doi. 10.1002/2015WR017635
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- Article
A high-resolution global flood hazard model.
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- Water Resources Research, 2015, v. 51, n. 9, p. 7358, doi. 10.1002/2015WR016954
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A unified approach for process-based hydrologic modeling: 1. Modeling concept.
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- Water Resources Research, 2015, v. 51, n. 4, p. 2498, doi. 10.1002/2015WR017198
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A unified approach for process-based hydrologic modeling: 2. Model implementation and case studies.
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- Water Resources Research, 2015, v. 51, n. 4, p. 2515, doi. 10.1002/2015WR017200
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- Article
Assessing the efficacy of offline water storage ponds for natural flood management.
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- Hydrological Processes, 2022, v. 36, n. 6, p. 1, doi. 10.1002/hyp.14618
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- Article
The Maimai M8 experimental catchment database: Forty years of process‐based research on steep, wet hillslopes.
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- Hydrological Processes, 2021, v. 35, n. 5, p. 1, doi. 10.1002/hyp.14112
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- Article
What about reservoirs? Questioning anthropogenic and climatic interferences on water availability.
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- Hydrological Processes, 2020, v. 34, n. 26, p. 5441, doi. 10.1002/hyp.13960
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Developing observational methods to drive future hydrological science: Can we make a start as a community?
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- Hydrological Processes, 2020, v. 34, n. 3, p. 868, doi. 10.1002/hyp.13622
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When does spatial resolution become spurious in probabilistic flood inundation predictions?
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- Hydrological Processes, 2016, v. 30, n. 13, p. 2014, doi. 10.1002/hyp.10749
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Factors affecting the spatial pattern of bedrock groundwater recharge at the hillslope scale.
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- Hydrological Processes, 2015, v. 29, n. 21, p. 4594, doi. 10.1002/hyp.10481
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Epistemic uncertainties and natural hazard risk assessment - Part 1: A review of different natural hazard areas.
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- Natural Hazards & Earth System Sciences, 2018, v. 18, n. 10, p. 2741, doi. 10.5194/nhess-18-2741-2018
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- Article
Process-based modelling to evaluate simulated groundwater levels and frequencies in a Chalk catchment in south-western England.
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- Natural Hazards & Earth System Sciences, 2018, v. 18, n. 2, p. 445, doi. 10.5194/nhess-18-445-2018
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- Article
Processes influencing model-data mismatch in drought-stressed, fire-disturbed eddy flux sites.
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- Journal of Geophysical Research. Biogeosciences, 2011, v. 116, n. G2, p. n/a, doi. 10.1029/2009JG001146
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CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain.
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- Earth System Science Data, 2020, v. 12, n. 4, p. 2459, doi. 10.5194/essd-12-2459-2020
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- Article
Atmospheric Sampling on Ascension Island Using Multirotor UAVs.
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- Sensors (14248220), 2017, v. 17, n. 6, p. 1189, doi. 10.3390/s17061189
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Exploring the provenance of information across Canadian hydrometric stations: Implications for discharge estimation and uncertainty quantification.
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- Hydrology & Earth System Sciences Discussions, 2023, p. 1, doi. 10.5194/hess-2023-150
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- Article
Technical Note: The CREDIBLE Uncertainty Estimation (CURE) toolbox: facilitating the communication of epistemic uncertainty.
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- Hydrology & Earth System Sciences Discussions, 2022, p. 1, doi. 10.5194/hess-2022-349
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- Article
A snow and glacier hydrological model for large catchments - case study for the Naryn River, Central Asia.
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- Hydrology & Earth System Sciences Discussions, 2022, p. 1, doi. 10.5194/hess-2022-51
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- Article
What do macroinvertebrate indices measure? Stressor‐specific stream macroinvertebrate indices can be confounded by other stressors.
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- Freshwater Biology, 2023, v. 68, n. 8, p. 1330, doi. 10.1111/fwb.14106
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- Article
Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v1.2: an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations.
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- Geoscientific Model Development, 2019, v. 12, n. 6, p. 2463, doi. 10.5194/gmd-12-2463-2019
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- Article
DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology.
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- Geoscientific Model Development, 2019, v. 12, n. 6, p. 2285, doi. 10.5194/gmd-12-2285-2019
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- Article
Comment on "Pursuing the method of multiple working hypotheses for hydrological modeling" by P. Clark et al.
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- Water Resources Research, 2012, v. 48, n. 11, p. 1, doi. 10.1029/2012WR012282
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Improving the stability of a simple formulation of the shallow water equations for 2-D flood modeling.
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- Water Resources Research, 2012, v. 48, n. 5, p. 1, doi. 10.1029/2011WR011570
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Ensemble evaluation of hydrological model hypotheses.
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- Water Resources Research, 2010, v. 46, n. 7, p. n/a, doi. 10.1029/2009WR007845
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- Article
The role of bedrock topography on subsurface storm flow.
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- Water Resources Research, 2002, v. 38, n. 12, p. 5-1, doi. 10.1029/2001WR000872
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Application of a Generalized TOPMODEL to the Small Ringelbach Catchment, Vosges, France.
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- Water Resources Research, 1996, v. 32, n. 7, p. 2147, doi. 10.1029/95WR03715
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Bayesian Estimation of Uncertainty in Runoff Prediction and the Value of Data: An Application of the GLUE Approach.
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- Water Resources Research, 1996, v. 32, n. 7, p. 2161, doi. 10.1029/95WR03723
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Toward a Generalization of the TOPMODEL Concepts: Topographic Indices of Hydrological Similarity.
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- Water Resources Research, 1996, v. 32, n. 7, p. 2135, doi. 10.1029/95WR03716
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- Article
Assessing the hydrological and geomorphic behaviour of a landscape evolution model within a limits‐of‐acceptability uncertainty analysis framework.
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- Earth Surface Processes & Landforms, 2021, v. 46, n. 10, p. 1981, doi. 10.1002/esp.5140
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- Article
The impact of different rainfall products on landscape modelling simulations.
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- Earth Surface Processes & Landforms, 2020, v. 45, n. 11, p. 2512, doi. 10.1002/esp.4894
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- Article
Global bimodal precipitation seasonality: A systematic overview.
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- International Journal of Climatology, 2019, v. 39, n. 1, p. 558, doi. 10.1002/joc.5786
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- Article
Sensitivity of a hydraulic model to channel erosion uncertainty during extreme flooding.
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- Hydrological Processes, 2015, v. 29, n. 2, p. 261, doi. 10.1002/hyp.10148
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- Article
Investigating the application of climate models in flood projection across the UK.
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- Hydrological Processes, 2014, v. 28, n. 5, p. 2810, doi. 10.1002/hyp.9815
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- Article
Recent climatic trends and linkages to river discharge in Central Vietnam.
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- Hydrological Processes, 2014, v. 28, n. 4, p. 1587, doi. 10.1002/hyp.9693
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Catchment properties, function, and conceptual model representation: is there a correspondence?
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- Hydrological Processes, 2014, v. 28, n. 4, p. 2451, doi. 10.1002/hyp.9726
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- Article