Articles | Volume 23, issue 8
https://doi.org/10.5194/hess-23-3247-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-3247-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Aug 2019
Research article |
| 08 Aug 2019
| 08 Aug 2019
A multi-objective ensemble approach to hydrological modelling in the UK: an application to historic drought reconstruction
Centre for Ecology & Hydrology, Maclean Building, Benson Lane,
Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Lucy J. Barker
Centre for Ecology & Hydrology, Maclean Building, Benson Lane,
Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Maliko Tanguy
Centre for Ecology & Hydrology, Maclean Building, Benson Lane,
Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Simon Parry
Centre for Ecology & Hydrology, Maclean Building, Benson Lane,
Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Shaun Harrigan
European Centre for Medium-Range Weather Forecasts, Shinfield Road,
Reading, RG2 9AX, UK
Tim P. Legg
Met Office, FitzRoy Road, Exeter, Devon, EX1 3PB, UK
Christel Prudhomme
European Centre for Medium-Range Weather Forecasts, Shinfield Road,
Reading, RG2 9AX, UK
Centre for Ecology & Hydrology, Maclean Building, Benson Lane,
Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Department of Geography, Loughborough University, Loughborough,
LE11 3TU, UK
Jamie Hannaford
Centre for Ecology & Hydrology, Maclean Building, Benson Lane,
Crowmarsh Gifford, Wallingford, Oxfordshire, OX10 8BB, UK
Irish Climate Analysis and Research UnitS, Department of Geography,
Maynooth, Ireland
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Rebecca Emerton, Ervin Zsoter, Louise Arnal, Hannah L. Cloke, Davide Muraro, Christel Prudhomme, Elisabeth M. Stephens, Peter Salamon, and Florian Pappenberger
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Potential evapotranspiration (PET) is necessary input data for most hydrological models, used to simulate river flows. To reconstruct PET prior to the 1960s, simplified methods are needed because of lack of climate data required for complex methods. We found that the McGuinness–Bordne PET equation, which only needs temperature as input data, works best for the UK provided it is calibrated for local conditions. This method was used to produce a 5 km gridded PET dataset for the UK for 1891–2015.
Louise Arnal, Hannah L. Cloke, Elisabeth Stephens, Fredrik Wetterhall, Christel Prudhomme, Jessica Neumann, Blazej Krzeminski, and Florian Pappenberger
Hydrol. Earth Syst. Sci., 22, 2057–2072, https://doi.org/10.5194/hess-22-2057-2018, https://doi.org/10.5194/hess-22-2057-2018, 2018
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This paper presents a new operational forecasting system (driven by atmospheric forecasts), predicting river flow in European rivers for the next 7 months. For the first month only, these river flow forecasts are, on average, better than predictions that do not make use of atmospheric forecasts. Overall, this forecasting system can predict whether abnormally high or low river flows will occur in the next 7 months in many parts of Europe, and could be valuable for various applications.
Shaun Harrigan, Christel Prudhomme, Simon Parry, Katie Smith, and Maliko Tanguy
Hydrol. Earth Syst. Sci., 22, 2023–2039, https://doi.org/10.5194/hess-22-2023-2018, https://doi.org/10.5194/hess-22-2023-2018, 2018
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We benchmarked when and where ensemble streamflow prediction (ESP) is skilful in the UK across a diverse set of 314 catchments. We found ESP was skilful in the majority of catchments across all lead times up to a year ahead, but the degree of skill was strongly conditional on lead time, forecast initialization month, and individual catchment location and storage properties. Results have practical implications for current operational use of the ESP method in the UK.
Conor Murphy, Ciaran Broderick, Timothy P. Burt, Mary Curley, Catriona Duffy, Julia Hall, Shaun Harrigan, Tom K. R. Matthews, Neil Macdonald, Gerard McCarthy, Mark P. McCarthy, Donal Mullan, Simon Noone, Timothy J. Osborn, Ciara Ryan, John Sweeney, Peter W. Thorne, Seamus Walsh, and Robert L. Wilby
Clim. Past, 14, 413–440, https://doi.org/10.5194/cp-14-413-2018, https://doi.org/10.5194/cp-14-413-2018, 2018
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This work reconstructs a continuous 305-year rainfall record for Ireland. The series reveals remarkable variability in decadal rainfall – far in excess of the typical period of digitised data. Notably, the series sheds light on exceptionally wet winters in the 1730s and wet summers in the 1750s. The derived record, one of the longest continuous series in Europe, offers a firm basis for benchmarking other long-term records and reconstructions of past climate both locally and across Europe.
Erik Tijdeman, Jamie Hannaford, and Kerstin Stahl
Hydrol. Earth Syst. Sci., 22, 1051–1064, https://doi.org/10.5194/hess-22-1051-2018, https://doi.org/10.5194/hess-22-1051-2018, 2018
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In this study, a screening approach was applied on a set of streamflow records for which various human influences are indicated to identify streamflow records that have drought characteristics that deviate from those expected under pristine conditions. Prolonged streamflow drought duration, a weaker correlation between streamflow and precipitation, and changes in streamflow drought occurrence over time were related to human influences such as groundwater abstractions or reservoir operations.
Sophie Bachmair, Cecilia Svensson, Ilaria Prosdocimi, Jamie Hannaford, and Kerstin Stahl
Nat. Hazards Earth Syst. Sci., 17, 1947–1960, https://doi.org/10.5194/nhess-17-1947-2017, https://doi.org/10.5194/nhess-17-1947-2017, 2017
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This study tests the potential for developing empirical
drought impact functionsbased on hydro-meteorological drought indicators as predictors and text-based reports on drought impacts as a surrogate variable for drought damage. We showcase three data-driven modeling approaches and assess the effect of impact report quantification method.
Gregor Laaha, Tobias Gauster, Lena M. Tallaksen, Jean-Philippe Vidal, Kerstin Stahl, Christel Prudhomme, Benedikt Heudorfer, Radek Vlnas, Monica Ionita, Henny A. J. Van Lanen, Mary-Jeanne Adler, Laurie Caillouet, Claire Delus, Miriam Fendekova, Sebastien Gailliez, Jamie Hannaford, Daniel Kingston, Anne F. Van Loon, Luis Mediero, Marzena Osuch, Renata Romanowicz, Eric Sauquet, James H. Stagge, and Wai K. Wong
Hydrol. Earth Syst. Sci., 21, 3001–3024, https://doi.org/10.5194/hess-21-3001-2017, https://doi.org/10.5194/hess-21-3001-2017, 2017
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In 2015 large parts of Europe were affected by a drought. In terms of low flow magnitude, a region around the Czech Republic was most affected, with return periods > 100 yr. In terms of deficit volumes, the drought was particularly severe around S. Germany where the event lasted notably long. Meteorological and hydrological events developed differently in space and time. For an assessment of drought impacts on water resources, hydrological data are required in addition to meteorological indices.
Simon Parry, Robert L. Wilby, Christel Prudhomme, and Paul J. Wood
Hydrol. Earth Syst. Sci., 20, 4265–4281, https://doi.org/10.5194/hess-20-4265-2016, https://doi.org/10.5194/hess-20-4265-2016, 2016
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This paper identifies periods of recovery from drought in 52 river flow records from the UK between 1883 and 2013. The approach detects 459 events that vary in space and time. This large dataset allows individual events to be compared with others in the historical record. The ability to objectively appraise contemporary events against the historical record has not previously been possible, and may allow water managers to prepare for a range of outcomes at the end of a drought.
Anne F. Van Loon, Kerstin Stahl, Giuliano Di Baldassarre, Julian Clark, Sally Rangecroft, Niko Wanders, Tom Gleeson, Albert I. J. M. Van Dijk, Lena M. Tallaksen, Jamie Hannaford, Remko Uijlenhoet, Adriaan J. Teuling, David M. Hannah, Justin Sheffield, Mark Svoboda, Boud Verbeiren, Thorsten Wagener, and Henny A. J. Van Lanen
Hydrol. Earth Syst. Sci., 20, 3631–3650, https://doi.org/10.5194/hess-20-3631-2016, https://doi.org/10.5194/hess-20-3631-2016, 2016
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In the Anthropocene, drought cannot be viewed as a natural hazard independent of people. Drought can be alleviated or made worse by human activities and drought impacts are dependent on a myriad of factors. In this paper, we identify research gaps and suggest a framework that will allow us to adequately analyse and manage drought in the Anthropocene. We need to focus on attribution of drought to different drivers, linking drought to its impacts, and feedbacks between drought and society.
S. Bachmair, C. Svensson, J. Hannaford, L. J. Barker, and K. Stahl
Hydrol. Earth Syst. Sci., 20, 2589–2609, https://doi.org/10.5194/hess-20-2589-2016, https://doi.org/10.5194/hess-20-2589-2016, 2016
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To date, there is little empirical evidence as to which indicator best represents drought impact occurrence for any given region and/or sector. We therefore exploited text-based data from the European Drought Impact report Inventory (EDII) to evaluate drought indicators, empirically determine indicator thresholds, and model drought impacts. A quantitative analysis using Germany and the UK as a testbed proved to be a useful tool for objectively appraising drought indicators.
Lucy J. Barker, Jamie Hannaford, Andrew Chiverton, and Cecilia Svensson
Hydrol. Earth Syst. Sci., 20, 2483–2505, https://doi.org/10.5194/hess-20-2483-2016, https://doi.org/10.5194/hess-20-2483-2016, 2016
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Standardised meteorological indicators are widely used in drought monitoring, but applications to hydrological drought are less extensive. Here we assess the utility of standardised indicators for characterising drought duration, severity and propagation in a diverse set of 121 UK catchments. Spatial variations in streamflow drought characteristics reflect differences in drought propagation behaviour that are themselves largely driven by heterogeneity in catchment properties around the UK.
Kerstin Stahl, Irene Kohn, Veit Blauhut, Julia Urquijo, Lucia De Stefano, Vanda Acácio, Susana Dias, James H. Stagge, Lena M. Tallaksen, Eleni Kampragou, Anne F. Van Loon, Lucy J. Barker, Lieke A. Melsen, Carlo Bifulco, Dario Musolino, Alessandro de Carli, Antonio Massarutto, Dionysis Assimacopoulos, and Henny A. J. Van Lanen
Nat. Hazards Earth Syst. Sci., 16, 801–819, https://doi.org/10.5194/nhess-16-801-2016, https://doi.org/10.5194/nhess-16-801-2016, 2016
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Based on the European Drought Impact report Inventory (EDII), the study presents an assessment of the occurrence and diversity of drought impacts across Europe. A unique research database has collected close to 5000 textual drought impact reports from 33 European countries. Consistently, reported impacts have been dominated in number by agriculture and water supply, but were very diverse across other sectors. Data and assessment may help drought policy planning at the international level.
V. D. J. Keller, M. Tanguy, I. Prosdocimi, J. A. Terry, O. Hitt, S. J. Cole, M. Fry, D. G. Morris, and H. Dixon
Earth Syst. Sci. Data, 7, 143–155, https://doi.org/10.5194/essd-7-143-2015, https://doi.org/10.5194/essd-7-143-2015, 2015
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The CEH – Gridded Estimates of Areal Rainfall (CEH–GEAR) dataset contains 1 km gridded estimates of daily and monthly rainfall for Great Britain and Northern Ireland (plus approximately 3000 km2 in the Republic of Ireland) from 1890 to 2012. The rainfall estimates are derived from the Met Office national database of observed precipitation, using a natural neighbour interpolation methodology which includes a normalisation step based on average annual rainfall.
J. Hall, B. Arheimer, G. T. Aronica, A. Bilibashi, M. Boháč, O. Bonacci, M. Borga, P. Burlando, A. Castellarin, G. B. Chirico, P. Claps, K. Fiala, L. Gaál, L. Gorbachova, A. Gül, J. Hannaford, A. Kiss, T. Kjeldsen, S. Kohnová, J. J. Koskela, N. Macdonald, M. Mavrova-Guirguinova, O. Ledvinka, L. Mediero, B. Merz, R. Merz, P. Molnar, A. Montanari, M. Osuch, J. Parajka, R. A. P. Perdigão, I. Radevski, B. Renard, M. Rogger, J. L. Salinas, E. Sauquet, M. Šraj, J. Szolgay, A. Viglione, E. Volpi, D. Wilson, K. Zaimi, and G. Blöschl
Proc. IAHS, 370, 89–95, https://doi.org/10.5194/piahs-370-89-2015, https://doi.org/10.5194/piahs-370-89-2015, 2015
A. Chiverton, J. Hannaford, I. P. Holman, R. Corstanje, C. Prudhomme, T. M. Hess, and J. P. Bloomfield
Hydrol. Earth Syst. Sci., 19, 2395–2408, https://doi.org/10.5194/hess-19-2395-2015, https://doi.org/10.5194/hess-19-2395-2015, 2015
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Current hydrological change detection methods are subject to a host of limitations. This paper develops a new method, temporally shifting variograms (TSVs), which characterises variability in the river flow regime using several parameters, changes in which can then be attributed to precipitation characteristics. We demonstrate the use of the method through application to 94 UK catchments, showing that periods of extremes as well as more subtle changes can be detected.
C. K. Folland, J. Hannaford, J. P. Bloomfield, M. Kendon, C. Svensson, B. P. Marchant, J. Prior, and E. Wallace
Hydrol. Earth Syst. Sci., 19, 2353–2375, https://doi.org/10.5194/hess-19-2353-2015, https://doi.org/10.5194/hess-19-2353-2015, 2015
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The English Lowlands is a heavily populated, water-stressed region, which is vulnerable to long droughts typically associated with dry winters. We conduct a long-term (1910-present) quantitative analysis of precipitation, flow and groundwater droughts for the region, and then review potential climatic drivers. No single driver is dominant, but we demonstrate a physical link between La Nina conditions, winter rainfall and long droughts in the region.
I. Giuntoli, J.-P. Vidal, C. Prudhomme, and D. M. Hannah
Earth Syst. Dynam., 6, 267–285, https://doi.org/10.5194/esd-6-267-2015, https://doi.org/10.5194/esd-6-267-2015, 2015
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We assessed future changes in high and low flows globally using runoff projections from global hydrological models (GHMs) driven by global climate models (GCMs) under the RCP8.5 scenario. Further, we quantified the relative size of uncertainty from GHMs and from GCMs using ANOVA. We show that GCMs are the major contributors to uncertainty overall, but GHMs increase their contribution for low flows and can equal or outweigh GCM uncertainty in snow-dominated areas for both high and low flows.
B. Merz, J. Aerts, K. Arnbjerg-Nielsen, M. Baldi, A. Becker, A. Bichet, G. Blöschl, L. M. Bouwer, A. Brauer, F. Cioffi, J. M. Delgado, M. Gocht, F. Guzzetti, S. Harrigan, K. Hirschboeck, C. Kilsby, W. Kron, H.-H. Kwon, U. Lall, R. Merz, K. Nissen, P. Salvatti, T. Swierczynski, U. Ulbrich, A. Viglione, P. J. Ward, M. Weiler, B. Wilhelm, and M. Nied
Nat. Hazards Earth Syst. Sci., 14, 1921–1942, https://doi.org/10.5194/nhess-14-1921-2014, https://doi.org/10.5194/nhess-14-1921-2014, 2014
S. Harrigan, C. Murphy, J. Hall, R. L. Wilby, and J. Sweeney
Hydrol. Earth Syst. Sci., 18, 1935–1952, https://doi.org/10.5194/hess-18-1935-2014, https://doi.org/10.5194/hess-18-1935-2014, 2014
J. Hannaford, G. Buys, K. Stahl, and L. M. Tallaksen
Hydrol. Earth Syst. Sci., 17, 2717–2733, https://doi.org/10.5194/hess-17-2717-2013, https://doi.org/10.5194/hess-17-2717-2013, 2013
C. Prudhomme and J. Williamson
Hydrol. Earth Syst. Sci., 17, 1365–1377, https://doi.org/10.5194/hess-17-1365-2013, https://doi.org/10.5194/hess-17-1365-2013, 2013
C. Prudhomme, T. Haxton, S. Crooks, C. Jackson, A. Barkwith, J. Williamson, J. Kelvin, J. Mackay, L. Wang, A. Young, and G. Watts
Earth Syst. Sci. Data, 5, 101–107, https://doi.org/10.5194/essd-5-101-2013, https://doi.org/10.5194/essd-5-101-2013, 2013
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
To bucket or not to bucket? Analyzing the performance and interpretability of hybrid hydrological models with dynamic parameterization
Widespread flooding dynamics under climate change: characterising floods using grid-based hydrological modelling and regional climate projections
HESS Opinions: The sword of Damocles of the impossible flood
Metamorphic testing of machine learning and conceptual hydrologic models
The influence of human activities on streamflow reductions during the megadrought in central Chile
Elevational control of isotopic composition and application in understanding hydrologic processes in the mid Merced River catchment, Sierra Nevada, California, USA
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain
Impacts of spatiotemporal resolutions of precipitation on flood event simulation based on multimodel structures – a case study over the Xiang River basin in China
A network approach for multiscale catchment classification using traits
Multi-model approach in a variable spatial framework for streamflow simulation
Advancing understanding of lake–watershed hydrology: a fully coupled numerical model illustrated by Qinghai Lake
Technical note: Testing the connection between hillslope-scale runoff fluctuations and streamflow hydrographs at the outlet of large river basins
Empirical stream thermal sensitivity cluster on the landscape according to geology and climate
Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia
On optimization of calibrations of a distributed hydrological model with spatially distributed information on snow
Toward interpretable LSTM-based modeling of hydrological systems
Flow intermittence prediction using a hybrid hydrological modelling approach: influence of observed intermittence data on the training of a random forest model
What controls the tail behaviour of flood series: rainfall or runoff generation?
Seasonal prediction of end-of-dry-season watershed behavior in a highly interconnected alluvial watershed in northern California
Glaciers determine the sensitivity of hydrological processes to perturbed climate in a large mountainous basin on the Tibetan Plateau
Leveraging gauge networks and strategic discharge measurements to aid the development of continuous streamflow records
On the need for physical constraints in deep learning rainfall–runoff projections under climate change: a sensitivity analysis to warming and shifts in potential evapotranspiration
Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings
Impacts of climate and land-surface change on catchment evapotranspiration and runoff from 1951–2020 in Saxony, Germany
Projecting sediment export from two highly glacierized alpine catchments under climate change: exploring non-parametric regression as an analysis tool
Evolution of river regime in the Mekong River basin over eight decades and role of dams in recent hydrologic extremes
A framework for parameter estimation, sensitivity analysis, and uncertainty analysis for holistic hydrologic modeling using SWAT+
On understanding mountainous carbonate basins of the Mediterranean using parsimonious modeling solutions
Comparing quantile regression forest and mixture density long short-term memory models for probabilistic post-processing of satellite precipitation-driven streamflow simulations
Recent ground thermo-hydrological changes in a southern Tibetan endorheic catchment and implications for lake level changes
Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling
Modelling flood frequency and magnitude in a glacially conditioned, heterogeneous landscape: testing the importance of land cover and land use
When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling
Direct integration of reservoirs' operations in a hydrological model for streamflow estimation: coupling a CLSTM model with MOHID-Land
Skill of seasonal flow forecasts at catchment-scale: an assessment across South Korea
Modelling the regional sensitivity of snowmelt, soil moisture, and streamflow generation to climate over the Canadian Prairies using a basin classification approach
To what extent does river routing matter in hydrological modeling?
Calibrating macroscale hydrological models in poorly gauged and heavily regulated basins
An advanced tool integrating failure and sensitivity analysis into novel modeling of the stormwater flood volume
airGRteaching: an open-source tool for teaching hydrological modeling with R
Assessing the impact of climate change on high return levels of peak flows in Bavaria applying the CRCM5 Large Ensemble
To What Extent Do Extreme Storm Events Change Future Flood Hazards?
Stable water isotopes and tritium tracers tell the same tale: no evidence for underestimation of catchment transit times inferred by stable isotopes in StorAge Selection (SAS)-function models
Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil
Uncertainty in water transit time estimation with StorAge Selection functions and tracer data interpolation
Changes in Mediterranean flood processes and seasonality
Can the combining of wetlands with reservoir operation reduce the risk of future floods and droughts?
Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado
When best is the enemy of good – critical evaluation of performance criteria in hydrological models
Eduardo Acuña Espinoza, Ralf Loritz, Manuel Álvarez Chaves, Nicole Bäuerle, and Uwe Ehret
Hydrol. Earth Syst. Sci., 28, 2705–2719, https://doi.org/10.5194/hess-28-2705-2024, https://doi.org/10.5194/hess-28-2705-2024, 2024
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Hydrological hybrid models promise to merge the performance of deep learning methods with the interpretability of process-based models. One hybrid approach is the dynamic parameterization of conceptual models using long short-term memory (LSTM) networks. We explored this method to evaluate the effect of the flexibility given by LSTMs on the process-based part.
Adam Griffin, Alison L. Kay, Paul Sayers, Victoria Bell, Elizabeth Stewart, and Sam Carr
Hydrol. Earth Syst. Sci., 28, 2635–2650, https://doi.org/10.5194/hess-28-2635-2024, https://doi.org/10.5194/hess-28-2635-2024, 2024
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Widespread flooding is a major problem in the UK and is greatly affected by climate change and land-use change. To look at how widespread flooding changes in the future, climate model data (UKCP18) were used with a hydrological model (Grid-to-Grid) across the UK, and 14 400 events were identified between two time slices: 1980–2010 and 2050–2080. There was a strong increase in the number of winter events in the future time slice and in the peak return periods.
Alberto Montanari, Bruno Merz, and Günter Blöschl
Hydrol. Earth Syst. Sci., 28, 2603–2615, https://doi.org/10.5194/hess-28-2603-2024, https://doi.org/10.5194/hess-28-2603-2024, 2024
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Floods often take communities by surprise, as they are often considered virtually
impossibleyet are an ever-present threat similar to the sword suspended over the head of Damocles in the classical Greek anecdote. We discuss four reasons why extremely large floods carry a risk that is often larger than expected. We provide suggestions for managing the risk of megafloods by calling for a creative exploration of hazard scenarios and communicating the unknown corners of the reality of floods.
Peter Reichert, Kai Ma, Marvin Höge, Fabrizio Fenicia, Marco Baity-Jesi, Dapeng Feng, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 28, 2505–2529, https://doi.org/10.5194/hess-28-2505-2024, https://doi.org/10.5194/hess-28-2505-2024, 2024
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We compared the predicted change in catchment outlet discharge to precipitation and temperature change for conceptual and machine learning hydrological models. We found that machine learning models, despite providing excellent fit and prediction capabilities, can be unreliable regarding the prediction of the effect of temperature change for low-elevation catchments. This indicates the need for caution when applying them for the prediction of the effect of climate change.
Nicolás Álamos, Camila Alvarez-Garreton, Ariel Muñoz, and Álvaro González-Reyes
Hydrol. Earth Syst. Sci., 28, 2483–2503, https://doi.org/10.5194/hess-28-2483-2024, https://doi.org/10.5194/hess-28-2483-2024, 2024
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In this study, we assess the effects of climate and water use on streamflow reductions and drought intensification during the last 3 decades in central Chile. We address this by contrasting streamflow observations with near-natural streamflow simulations. We conclude that while the lack of precipitation dominates streamflow reductions in the megadrought, water uses have not diminished during this time, causing a worsening of the hydrological drought conditions and maladaptation conditions.
Fengjing Liu, Martha H. Conklin, and Glenn D. Shaw
Hydrol. Earth Syst. Sci., 28, 2239–2258, https://doi.org/10.5194/hess-28-2239-2024, https://doi.org/10.5194/hess-28-2239-2024, 2024
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Mountain snowpack has been declining and more precipitation falls as rain than snow. Using stable isotopes, we found flows and flow duration in Yosemite Creek are most sensitive to climate warming due to strong evaporation of waterfalls, potentially lengthening the dry-up period of waterfalls in summer and negatively affecting tourism. Groundwater recharge in Yosemite Valley is primarily from the upper snow–rain transition (2000–2500 m) and very vulnerable to a reduction in the snow–rain ratio.
Qiutong Yu, Bryan A. Tolson, Hongren Shen, Ming Han, Juliane Mai, and Jimmy Lin
Hydrol. Earth Syst. Sci., 28, 2107–2122, https://doi.org/10.5194/hess-28-2107-2024, https://doi.org/10.5194/hess-28-2107-2024, 2024
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It is challenging to incorporate input variables' spatial distribution information when implementing long short-term memory (LSTM) models for streamflow prediction. This work presents a novel hybrid modelling approach to predict streamflow while accounting for spatial variability. We evaluated the performance against lumped LSTM predictions in 224 basins across the Great Lakes region in North America. This approach shows promise for predicting streamflow in large, ungauged basin.
Marcus Buechel, Louise Slater, and Simon Dadson
Hydrol. Earth Syst. Sci., 28, 2081–2105, https://doi.org/10.5194/hess-28-2081-2024, https://doi.org/10.5194/hess-28-2081-2024, 2024
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Afforestation has been proposed internationally, but the hydrological implications of such large increases in the spatial extent of woodland are not fully understood. In this study, we use a land surface model to simulate hydrology across Great Britain with realistic afforestation scenarios and potential climate changes. Countrywide afforestation minimally influences hydrology, when compared to climate change, and reduces low streamflow whilst not lowering the highest flows.
Qian Zhu, Xiaodong Qin, Dongyang Zhou, Tiantian Yang, and Xinyi Song
Hydrol. Earth Syst. Sci., 28, 1665–1686, https://doi.org/10.5194/hess-28-1665-2024, https://doi.org/10.5194/hess-28-1665-2024, 2024
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Input data, model and calibration strategy can affect the accuracy of flood event simulation and prediction. Satellite-based precipitation with different spatiotemporal resolutions is an important input source. Data-driven models are sometimes proven to be more accurate than hydrological models. Event-based calibration and conventional strategy are two options adopted for flood simulation. This study targets the three concerns for accurate flood event simulation and prediction.
Fabio Ciulla and Charuleka Varadharajan
Hydrol. Earth Syst. Sci., 28, 1617–1651, https://doi.org/10.5194/hess-28-1617-2024, https://doi.org/10.5194/hess-28-1617-2024, 2024
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We present a new method based on network science for unsupervised classification of large datasets and apply it to classify 9067 US catchments and 274 biophysical traits at multiple scales. We find that our trait-based approach produces catchment classes with distinct streamflow behavior and that spatial patterns emerge amongst pristine and human-impacted catchments. This method can be widely used beyond hydrology to identify patterns, reduce trait redundancy, and select representative sites.
Cyril Thébault, Charles Perrin, Vazken Andréassian, Guillaume Thirel, Sébastien Legrand, and Olivier Delaigue
Hydrol. Earth Syst. Sci., 28, 1539–1566, https://doi.org/10.5194/hess-28-1539-2024, https://doi.org/10.5194/hess-28-1539-2024, 2024
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Streamflow forecasting is useful for many applications, ranging from population safety (e.g. floods) to water resource management (e.g. agriculture or hydropower). To this end, hydrological models must be optimized. However, a model is inherently wrong. This study aims to analyse the contribution of a multi-model approach within a variable spatial framework to improve streamflow simulations. The underlying idea is to take advantage of the strength of each modelling framework tested.
Lele Shu, Xiaodong Li, Yan Chang, Xianhong Meng, Hao Chen, Yuan Qi, Hongwei Wang, Zhaoguo Li, and Shihua Lyu
Hydrol. Earth Syst. Sci., 28, 1477–1491, https://doi.org/10.5194/hess-28-1477-2024, https://doi.org/10.5194/hess-28-1477-2024, 2024
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We developed a new model to better understand how water moves in a lake basin. Our model improves upon previous methods by accurately capturing the complexity of water movement, both on the surface and subsurface. Our model, tested using data from China's Qinghai Lake, accurately replicates complex water movements and identifies contributing factors of the lake's water balance. The findings provide a robust tool for predicting hydrological processes, aiding water resource planning.
Ricardo Mantilla, Morgan Fonley, and Nicolás Velásquez
Hydrol. Earth Syst. Sci., 28, 1373–1382, https://doi.org/10.5194/hess-28-1373-2024, https://doi.org/10.5194/hess-28-1373-2024, 2024
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Hydrologists strive to “Be right for the right reasons” when modeling the hydrologic cycle; however, the datasets available to validate hydrological models are sparse, and in many cases, they comprise streamflow observations at the outlets of large catchments. In this work, we show that matching streamflow observations at the outlet of a large basin is not a reliable indicator of a correct description of the small-scale runoff processes.
Lillian M. McGill, E. Ashley Steel, and Aimee H. Fullerton
Hydrol. Earth Syst. Sci., 28, 1351–1371, https://doi.org/10.5194/hess-28-1351-2024, https://doi.org/10.5194/hess-28-1351-2024, 2024
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This study examines the relationship between air and river temperatures in Washington's Snoqualmie and Wenatchee basins. We used classification and regression approaches to show that the sensitivity of river temperature to air temperature is variable across basins and controlled largely by geology and snowmelt. Findings can be used to inform strategies for river basin restoration and conservation, such as identifying climate-insensitive areas of the basin that should be preserved and protected.
Stephanie R. Clark, Julien Lerat, Jean-Michel Perraud, and Peter Fitch
Hydrol. Earth Syst. Sci., 28, 1191–1213, https://doi.org/10.5194/hess-28-1191-2024, https://doi.org/10.5194/hess-28-1191-2024, 2024
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To determine if deep learning models are in general a viable alternative to traditional hydrologic modelling techniques in Australian catchments, a comparison of river–runoff predictions is made between traditional conceptual models and deep learning models in almost 500 catchments spread over the continent. It is found that the deep learning models match or outperform the traditional models in over two-thirds of the river catchments, indicating feasibility in a wide variety of conditions.
Dipti Tiwari, Mélanie Trudel, and Robert Leconte
Hydrol. Earth Syst. Sci., 28, 1127–1146, https://doi.org/10.5194/hess-28-1127-2024, https://doi.org/10.5194/hess-28-1127-2024, 2024
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Calibrating hydrological models with multi-objective functions enhances model robustness. By using spatially distributed snow information in the calibration, the model performance can be enhanced without compromising the outputs. In this study the HYDROTEL model was calibrated in seven different experiments, incorporating the SPAEF (spatial efficiency) metric alongside Nash–Sutcliffe efficiency (NSE) and root-mean-square error (RMSE), with the aim of identifying the optimal calibration strategy.
Luis Andres De la Fuente, Mohammad Reza Ehsani, Hoshin Vijai Gupta, and Laura Elizabeth Condon
Hydrol. Earth Syst. Sci., 28, 945–971, https://doi.org/10.5194/hess-28-945-2024, https://doi.org/10.5194/hess-28-945-2024, 2024
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Long short-term memory (LSTM) is a widely used machine-learning model in hydrology, but it is difficult to extract knowledge from it. We propose HydroLSTM, which represents processes like a hydrological reservoir. Models based on HydroLSTM perform similarly to LSTM while requiring fewer cell states. The learned parameters are informative about the dominant hydrology of a catchment. Our results show how parsimony and hydrological knowledge extraction can be achieved by using the new structure.
Louise Mimeau, Annika Künne, Flora Branger, Sven Kralisch, Alexandre Devers, and Jean-Philippe Vidal
Hydrol. Earth Syst. Sci., 28, 851–871, https://doi.org/10.5194/hess-28-851-2024, https://doi.org/10.5194/hess-28-851-2024, 2024
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Modelling flow intermittence is essential for predicting the future evolution of drying in river networks and better understanding the ecological and socio-economic impacts. However, modelling flow intermittence is challenging, and observed data on temporary rivers are scarce. This study presents a new modelling approach for predicting flow intermittence in river networks and shows that combining different sources of observed data reduces the model uncertainty.
Elena Macdonald, Bruno Merz, Björn Guse, Viet Dung Nguyen, Xiaoxiang Guan, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 28, 833–850, https://doi.org/10.5194/hess-28-833-2024, https://doi.org/10.5194/hess-28-833-2024, 2024
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In some rivers, the occurrence of extreme flood events is more likely than in other rivers – they have heavy-tailed distributions. We find that threshold processes in the runoff generation lead to such a relatively high occurrence probability of extremes. Further, we find that beyond a certain return period, i.e. for rare events, rainfall is often the dominant control compared to runoff generation. Our results can help to improve the estimation of the occurrence probability of extreme floods.
Claire Kouba and Thomas Harter
Hydrol. Earth Syst. Sci., 28, 691–718, https://doi.org/10.5194/hess-28-691-2024, https://doi.org/10.5194/hess-28-691-2024, 2024
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In some watersheds, the severity of the dry season has a large impact on aquatic ecosystems. In this study, we design a way to predict, 5–6 months in advance, how severe the dry season will be in a rural watershed in northern California. This early warning can support seasonal adaptive management. To predict these two values, we assess data about snow, rain, groundwater, and river flows. We find that maximum snowpack and total wet season rainfall best predict dry season severity.
Yi Nan and Fuqiang Tian
Hydrol. Earth Syst. Sci., 28, 669–689, https://doi.org/10.5194/hess-28-669-2024, https://doi.org/10.5194/hess-28-669-2024, 2024
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This paper utilized a tracer-aided model validated by multiple datasets in a large mountainous basin on the Tibetan Plateau to analyze hydrological sensitivity to climate change. The spatial pattern of the local hydrological sensitivities and the influence factors were analyzed in particular. The main finding of this paper is that the local hydrological sensitivity in mountainous basins is determined by the relationship between the glacier area ratio and the mean annual precipitation.
Michael J. Vlah, Matthew R. V. Ross, Spencer Rhea, and Emily S. Bernhardt
Hydrol. Earth Syst. Sci., 28, 545–573, https://doi.org/10.5194/hess-28-545-2024, https://doi.org/10.5194/hess-28-545-2024, 2024
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Virtual stream gauging enables continuous streamflow estimation where a gauge might be difficult or impractical to install. We reconstructed flow at 27 gauges of the National Ecological Observatory Network (NEON), informing ~199 site-months of missing data in the official record and improving that accuracy of official estimates at 11 sites. This study shows that machine learning, but also routine regression methods, can be used to supplement existing gauge networks and reduce monitoring costs.
Sungwook Wi and Scott Steinschneider
Hydrol. Earth Syst. Sci., 28, 479–503, https://doi.org/10.5194/hess-28-479-2024, https://doi.org/10.5194/hess-28-479-2024, 2024
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We investigate whether deep learning (DL) models can produce physically plausible streamflow projections under climate change. We address this question by focusing on modeled responses to increases in temperature and potential evapotranspiration and by employing three DL and three process-based hydrological models. The results suggest that physical constraints regarding model architecture and input are necessary to promote the physical realism of DL hydrological projections under climate change.
Guillaume Evin, Matthieu Le Lay, Catherine Fouchier, David Penot, Francois Colleoni, Alexandre Mas, Pierre-André Garambois, and Olivier Laurantin
Hydrol. Earth Syst. Sci., 28, 261–281, https://doi.org/10.5194/hess-28-261-2024, https://doi.org/10.5194/hess-28-261-2024, 2024
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Hydrological modelling of mountainous catchments is challenging for many reasons, the main one being the temporal and spatial representation of precipitation forcings. This study presents an evaluation of the hydrological modelling of 55 small mountainous catchments of the northern French Alps, focusing on the influence of the type of precipitation reanalyses used as inputs. These evaluations emphasize the added value of radar measurements, in particular for the reproduction of flood events.
Maik Renner and Corina Hauffe
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-6, https://doi.org/10.5194/hess-2024-6, 2024
Revised manuscript accepted for HESS
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Climate and land-surface conditions influence the availability of fresh water resources. Their impact is quantified with data of 71 catchments in Saxony/Germany, for which distinct signatures in the joint water and energy budgets are found: (i) past forest dieback caused a decrease and subsequent recovery of evapotranspiration in the affected regions, and (ii) the recent shift towards higher aridity imposed a large decline in runoff, that has not been seen in the observation records before.
Lena Katharina Schmidt, Till Francke, Peter Martin Grosse, and Axel Bronstert
Hydrol. Earth Syst. Sci., 28, 139–161, https://doi.org/10.5194/hess-28-139-2024, https://doi.org/10.5194/hess-28-139-2024, 2024
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How suspended sediment export from glacierized high-alpine areas responds to future climate change is hardly assessable as many interacting processes are involved, and appropriate physical models are lacking. We present the first study, to our knowledge, exploring machine learning to project sediment export until 2100 in two high-alpine catchments. We find that uncertainties due to methodological limitations are small until 2070. Negative trends imply that peak sediment may have already passed.
Huy Dang and Yadu Pokhrel
EGUsphere, https://doi.org/10.5194/egusphere-2023-3158, https://doi.org/10.5194/egusphere-2023-3158, 2024
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By examining basin-wide simulations of the river regime over 83 years with and without dams, we present evidence that climate variation was a key driver of hydrologic variabilities in the Mekong River Basin (MRB) over the long-term; however, dams have largely altered the seasonality of Mekong’s flow regime and annual flooding patterns at major downstream areas in recent years. These findings could help rethink the planning of future dams and water resource management in the MRB.
Salam A. Abbas, Ryan T. Bailey, Jeremy T. White, Jeffrey G. Arnold, Michael J. White, Natalja Čerkasova, and Jungang Gao
Hydrol. Earth Syst. Sci., 28, 21–48, https://doi.org/10.5194/hess-28-21-2024, https://doi.org/10.5194/hess-28-21-2024, 2024
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Research highlights.
1. Implemented groundwater module (gwflow) into SWAT+ for four watersheds with different unique hydrologic features across the United States.
2. Presented methods for sensitivity analysis, uncertainty analysis and parameter estimation for coupled models.
3. Sensitivity analysis for streamflow and groundwater head conducted using Morris method.
4. Uncertainty analysis and parameter estimation performed using an iterative ensemble smoother within the PEST framework.
Shima Azimi, Christian Massari, Giuseppe Formetta, Silvia Barbetta, Alberto Tazioli, Davide Fronzi, Sara Modanesi, Angelica Tarpanelli, and Riccardo Rigon
Hydrol. Earth Syst. Sci., 27, 4485–4503, https://doi.org/10.5194/hess-27-4485-2023, https://doi.org/10.5194/hess-27-4485-2023, 2023
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We analyzed the water budget of nested karst catchments using simple methods and modeling. By utilizing the available data on precipitation and discharge, we were able to determine the response lag-time by adopting new techniques. Additionally, we modeled snow cover dynamics and evapotranspiration with the use of Earth observations, providing a concise overview of the water budget for the basin and its subbasins. We have made the data, models, and workflows accessible for further study.
Yuhang Zhang, Aizhong Ye, Bita Analui, Phu Nguyen, Soroosh Sorooshian, Kuolin Hsu, and Yuxuan Wang
Hydrol. Earth Syst. Sci., 27, 4529–4550, https://doi.org/10.5194/hess-27-4529-2023, https://doi.org/10.5194/hess-27-4529-2023, 2023
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Our study shows that while the quantile regression forest (QRF) and countable mixtures of asymmetric Laplacians long short-term memory (CMAL-LSTM) models demonstrate similar proficiency in multipoint probabilistic predictions, QRF excels in smaller watersheds and CMAL-LSTM in larger ones. CMAL-LSTM performs better in single-point deterministic predictions, whereas QRF model is more efficient overall.
Léo C. P. Martin, Sebastian Westermann, Michele Magni, Fanny Brun, Joel Fiddes, Yanbin Lei, Philip Kraaijenbrink, Tamara Mathys, Moritz Langer, Simon Allen, and Walter W. Immerzeel
Hydrol. Earth Syst. Sci., 27, 4409–4436, https://doi.org/10.5194/hess-27-4409-2023, https://doi.org/10.5194/hess-27-4409-2023, 2023
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Across the Tibetan Plateau, many large lakes have been changing level during the last decades as a response to climate change. In high-mountain environments, water fluxes from the land to the lakes are linked to the ground temperature of the land and to the energy fluxes between the ground and the atmosphere, which are modified by climate change. With a numerical model, we test how these water and energy fluxes have changed over the last decades and how they influence the lake level variations.
Diego Araya, Pablo A. Mendoza, Eduardo Muñoz-Castro, and James McPhee
Hydrol. Earth Syst. Sci., 27, 4385–4408, https://doi.org/10.5194/hess-27-4385-2023, https://doi.org/10.5194/hess-27-4385-2023, 2023
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Dynamical systems are used by many agencies worldwide to produce seasonal streamflow forecasts, which are critical for decision-making. Such systems rely on hydrology models, which contain parameters that are typically estimated using a target performance metric (i.e., objective function). This study explores the effects of this decision across mountainous basins in Chile, illustrating tradeoffs between seasonal forecast quality and the models' capability to simulate streamflow characteristics.
Pamela E. Tetford and Joseph R. Desloges
Hydrol. Earth Syst. Sci., 27, 3977–3998, https://doi.org/10.5194/hess-27-3977-2023, https://doi.org/10.5194/hess-27-3977-2023, 2023
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An efficient regional flood frequency model relates drainage area to discharge, with a major assumption of similar basin conditions. In a landscape with variable glacial deposits and land use, we characterize varying hydrological function using 28 explanatory variables. We demonstrate that (1) a heterogeneous landscape requires objective model selection criteria to optimize the fit of flow data, and (2) incorporating land use as a predictor variable improves the drainage area to discharge model.
Yalan Song, Wouter J. M. Knoben, Martyn P. Clark, Dapeng Feng, Kathryn E. Lawson, and Chaopeng Shen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-258, https://doi.org/10.5194/hess-2023-258, 2023
Revised manuscript accepted for HESS
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Wouldn't it be nice to have both the accuracy of neural networks (NNs) and the interpretability of process-based models (PBMs)? Differentiable modeling gives you the best of both worlds by connecting NNs with PBMs. However, there was previously a major issue that iterative solution schemes would run into memory use trouble. This paper presents an operator called adjoint, which liberates all the iterative solvers. This is the first time adjoint is applied to large-scale hydrologic modeling.
Ana Ramos Oliveira, Tiago Brito Ramos, Lígia Pinto, and Ramiro Neves
Hydrol. Earth Syst. Sci., 27, 3875–3893, https://doi.org/10.5194/hess-27-3875-2023, https://doi.org/10.5194/hess-27-3875-2023, 2023
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This paper intends to demonstrate the adequacy of a hybrid solution to overcome the difficulties related to the incorporation of human behavior when modeling hydrological processes. Two models were implemented, one to estimate the outflow of a reservoir and the other to simulate the hydrological processes of the watershed. With both models feeding each other, results show that the proposed approach significantly improved the streamflow estimation downstream of the reservoir.
Yongshin Lee, Francesca Pianosi, Andres Peñuela, and Miguel Angel Rico-Ramirez
EGUsphere, https://doi.org/10.5194/egusphere-2023-2169, https://doi.org/10.5194/egusphere-2023-2169, 2023
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Following recent advancements in weather prediction technology, we explored how seasonal weather forecasts (one or more months ahead) could benefit practical water management in South Korea. Our findings highlight that using seasonal weather forecasts for predicting flow patterns 1 to 3 months ahead is effective, especially during dry years. This suggest that seasonal weather forecasts can be helpful in improving the management of water resources.
Zhihua He, Kevin Shook, Christopher Spence, John W. Pomeroy, and Colin Whitfield
Hydrol. Earth Syst. Sci., 27, 3525–3546, https://doi.org/10.5194/hess-27-3525-2023, https://doi.org/10.5194/hess-27-3525-2023, 2023
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This study evaluated the impacts of climate change on snowmelt, soil moisture, and streamflow over the Canadian Prairies. The entire prairie region was divided into seven basin types. We found strong variations of hydrological sensitivity to precipitation and temperature changes in different land covers and basins, which suggests that different water management and adaptation methods are needed to address enhanced water stress due to expected climate change in different regions of the prairies.
Nicolás Cortés-Salazar, Nicolás Vásquez, Naoki Mizukami, Pablo A. Mendoza, and Ximena Vargas
Hydrol. Earth Syst. Sci., 27, 3505–3524, https://doi.org/10.5194/hess-27-3505-2023, https://doi.org/10.5194/hess-27-3505-2023, 2023
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This paper shows how important river models can be for water resource applications that involve hydrological models and, in particular, parameter calibration. To this end, we conduct numerical experiments in a pilot basin using a combination of hydrologic model simulations obtained from a large sample of parameter sets and different routing methods. We find that routing can affect streamflow simulations, even at monthly time steps; the choice of parameters; and relevant streamflow metrics.
Dung Trung Vu, Thanh Duc Dang, Francesca Pianosi, and Stefano Galelli
Hydrol. Earth Syst. Sci., 27, 3485–3504, https://doi.org/10.5194/hess-27-3485-2023, https://doi.org/10.5194/hess-27-3485-2023, 2023
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The calibration of hydrological models over extensive spatial domains is often challenged by the lack of data on river discharge and the operations of hydraulic infrastructures. Here, we use satellite data to address the lack of data that could unintentionally bias the calibration process. Our study is underpinned by a computational framework that quantifies this bias and provides a safe approach to the calibration of models in poorly gauged and heavily regulated basins.
Francesco Fatone, Bartosz Szeląg, Przemysław Kowal, Arthur McGarity, Adam Kiczko, Grzegorz Wałek, Ewa Wojciechowska, Michał Stachura, and Nicolas Caradot
Hydrol. Earth Syst. Sci., 27, 3329–3349, https://doi.org/10.5194/hess-27-3329-2023, https://doi.org/10.5194/hess-27-3329-2023, 2023
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A novel methodology for the development of a stormwater network performance simulator including advanced risk assessment was proposed. The applied tool enables the analysis of the influence of spatial variability in catchment and stormwater network characteristics on the relation between (SWMM) model parameters and specific flood volume, as an alternative approach to mechanistic models. The proposed method can be used at the stage of catchment model development and spatial planning management.
Olivier Delaigue, Pierre Brigode, Guillaume Thirel, and Laurent Coron
Hydrol. Earth Syst. Sci., 27, 3293–3327, https://doi.org/10.5194/hess-27-3293-2023, https://doi.org/10.5194/hess-27-3293-2023, 2023
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Teaching hydrological modeling is an important, but difficult, matter. It requires appropriate tools and teaching material. In this article, we present the airGRteaching package, which is an open-source software tool relying on widely used hydrological models. This tool proposes an interface and numerous hydrological modeling exercises representing a wide range of hydrological applications. We show how this tool can be applied to simple but real-life cases.
Florian Willkofer, Raul Roger Wood, and Ralf Ludwig
EGUsphere, https://doi.org/10.5194/egusphere-2023-2019, https://doi.org/10.5194/egusphere-2023-2019, 2023
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Severe flood events pose threat to riverine areas, yet robust estimates about the dynamics of these events in the future due to climate change are rarely available. Hence, this study uses and benefits from data from a RCM SMILE to drive a high-resolution hydrological model for 98 catchments of the Hydrological Bavaria to exploit the large database to derive robust values for the 100-year flood events. Results indicate an increase in frequency and intensity for most catchments in the future.
Mariam Khanam, Giulia Sofia, and Emmanouil N. Anagnostou
EGUsphere, https://doi.org/10.5194/egusphere-2023-1969, https://doi.org/10.5194/egusphere-2023-1969, 2023
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Due to climate change, flooding is expected to become more frequent globally in the coming decades. Locally, storm-induced channel geometry changes can drastically affect flood hazards, yet rivers are mostly treated as static elements in flood studies. This study tried to gain an understanding of the effects of major storm events on future flood hazards, promoting a framework for incorporating channel conveyance adjustments into flood hazard assessment.
Siyuan Wang, Markus Hrachowitz, Gerrit Schoups, and Christine Stumpp
Hydrol. Earth Syst. Sci., 27, 3083–3114, https://doi.org/10.5194/hess-27-3083-2023, https://doi.org/10.5194/hess-27-3083-2023, 2023
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This study shows that previously reported underestimations of water ages are most likely not due to the use of seasonally variable tracers. Rather, these underestimations can be largely attributed to the choices of model approaches which rely on assumptions not frequently met in catchment hydrology. We therefore strongly advocate avoiding the use of this model type in combination with seasonally variable tracers and instead adopting StorAge Selection (SAS)-based or comparable model formulations.
Louise Akemi Kuana, Arlan Scortegagna Almeida, Emilio Graciliano Ferreira Mercuri, and Steffen Manfred Noe
EGUsphere, https://doi.org/10.5194/egusphere-2023-1755, https://doi.org/10.5194/egusphere-2023-1755, 2023
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The authors compared different regionalization methods for river flow prediction in watersheds with few data. We collected data on precipitation, evapotranspiration, river flow, and geographical and climatic factors for 126 catchments in the Paraná state, Brazil. The regionalization method based on physiographic-climatic similarity showed to be the most robust for predicting daily and Q95 reference flow. We also found patterns in data, grouping locations based on similarities.
Arianna Borriero, Rohini Kumar, Tam V. Nguyen, Jan H. Fleckenstein, and Stefanie R. Lutz
Hydrol. Earth Syst. Sci., 27, 2989–3004, https://doi.org/10.5194/hess-27-2989-2023, https://doi.org/10.5194/hess-27-2989-2023, 2023
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We analyzed the uncertainty of the water transit time distribution (TTD) arising from model input (interpolated tracer data) and structure (StorAge Selection, SAS, functions). We found that uncertainty was mainly associated with temporal interpolation, choice of SAS function, nonspatial interpolation, and low-flow conditions. It is important to characterize the specific uncertainty sources and their combined effects on TTD, as this has relevant implications for both water quantity and quality.
Yves Tramblay, Patrick Arnaud, Guillaume Artigue, Michel Lang, Emmanuel Paquet, Luc Neppel, and Eric Sauquet
Hydrol. Earth Syst. Sci., 27, 2973–2987, https://doi.org/10.5194/hess-27-2973-2023, https://doi.org/10.5194/hess-27-2973-2023, 2023
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Mediterranean floods are causing major damage, and recent studies have shown that, despite the increase in intense rainfall, there has been no increase in river floods. This study reveals that the seasonality of floods changed in the Mediterranean Basin during 1959–2021. There was also an increased frequency of floods linked to short episodes of intense rain, associated with a decrease in soil moisture. These changes need to be taken into consideration to adapt flood warning systems.
Yanfeng Wu, Jingxuan Sun, Boting Hu, Y. Jun Xu, Alain N. Rousseau, and Guangxin Zhang
Hydrol. Earth Syst. Sci., 27, 2725–2745, https://doi.org/10.5194/hess-27-2725-2023, https://doi.org/10.5194/hess-27-2725-2023, 2023
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Reservoirs and wetlands are important regulators of watershed hydrology, which should be considered when projecting floods and droughts. We first coupled wetlands and reservoir operations into a semi-spatially-explicit hydrological model and then applied it in a case study involving a large river basin in northeast China. We found that, overall, the risk of future floods and droughts will increase further even under the combined influence of reservoirs and wetlands.
Peishi Jiang, Pin Shuai, Alexander Sun, Maruti K. Mudunuru, and Xingyuan Chen
Hydrol. Earth Syst. Sci., 27, 2621–2644, https://doi.org/10.5194/hess-27-2621-2023, https://doi.org/10.5194/hess-27-2621-2023, 2023
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We developed a novel deep learning approach to estimate the parameters of a computationally expensive hydrological model on only a few hundred realizations. Our approach leverages the knowledge obtained by data-driven analysis to guide the design of the deep learning model used for parameter estimation. We demonstrate this approach by calibrating a state-of-the-art hydrological model against streamflow and evapotranspiration observations at a snow-dominated watershed in Colorado.
Guillaume Cinkus, Naomi Mazzilli, Hervé Jourde, Andreas Wunsch, Tanja Liesch, Nataša Ravbar, Zhao Chen, and Nico Goldscheider
Hydrol. Earth Syst. Sci., 27, 2397–2411, https://doi.org/10.5194/hess-27-2397-2023, https://doi.org/10.5194/hess-27-2397-2023, 2023
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The Kling–Gupta Efficiency (KGE) is a performance criterion extensively used to evaluate hydrological models. We conduct a critical study on the KGE and its variant to examine counterbalancing errors. Results show that, when assessing a simulation, concurrent over- and underestimation of discharge can lead to an overall higher criterion score without an associated increase in model relevance. We suggest that one carefully choose performance criteria and use scaling factors.
Cited articles
Anderton, S., Ledbetter, R., and Prudhomme, C.: Understanding the
performance of water supply systems during mild to extreme droughts,
Environment Agency, Horizon House, Deanery Road, Bristol, BS1 5AH, 2015.
Atkins: Thames Water Stochastic Resource Modelling: Stage 2&3 Report,
Atkins, 2016.
Bai, P., Liu, X., Yang, T., Li, F., Liang, K., Hu, S., and Liu, C.:
Assessment of the Influences of Different Potential Evapotranspiration
Inputs on the Performance of Monthly Hydrological Models under Different
Climatic Conditions, J. Hydrometeorol., 17, 2259–2274,
https://doi.org/10.1175/jhm-d-15-0202.1, 2016.
Barker, L. J., Hannaford, J., Chiverton, A., and Svensson, C.: From meteorological to hydrological drought using standardised indicators, Hydrol. Earth Syst. Sci., 20, 2483–2505, https://doi.org/10.5194/hess-20-2483-2016, 2016.
Barker, L. J., Smith, K. A., Svensson, C., Tanguy, M., and Hannaford, J.:
Historic Standardised Streamflow Index (SSI) using Tweedie distribution with
standard period 1961–2010 for 303 UK catchments (1891–2015), NERC
Environmental Information Data Centre,
https://doi.org/10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9, 2018.
Barker, L. J., Hannaford, J., Parry, S., Smith, K. A., Tanguy, M., and Prudhomme, C.: Historic hydrological droughts 1891–2015: systematic characterisation for a diverse set of catchments across the UK, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-202, in review, 2019.
Bastola, S., Murphy, C., and Sweeney, J.: The sensitivity of fluvial flood
risk in Irish catchments to the range of IPCC AR4 climate change scenarios,
Sci. Total Environ., 409, 5403–5415,
https://doi.org/10.1016/j.scitotenv.2011.08.042, 2011.
Beven, K.: A manifesto for the equifinality thesis, J. Hydrol.,
320, 18–36, https://doi.org/10.1016/j.jhydrol.2005.07.007, 2006.
Beven, K.: Rainfall-Runoff Modelling: The Primer, Second Edition, Second
ed., Wiley-Blackwell, Chichester, 457 pp., 2012.
Beven, K. and Binley, A.: The Future of Distributed Models – Model
Calibration and Uncertainty Prediction, Hydrol. Process., 6, 279–298,
1992.
Beven, K. and Freer, J.: Equifinality, data assimilation, and uncertainty
estimation in mechanistic modelling of complex environmental systems using
the GLUE methodology, J. Hydrol., 249, 11–29, 2001.
Bierkens, M. F. P.: Global hydrology 2015: State, trends, and directions,
Water Resour. Res., 51, 4923–4947, https://doi.org/10.1002/2015wr017173, 2015.
Brázdil, R., Dobrovolný, P., Trnka, M., Büntgen, U.,
Řezníčková, L., Kotyza, O., Valášek, H., and
Štĕpánek, P.: Documentary and instrumental-based drought indices
for the Czech Lands back to AD 1501, Clim. Res., 70, 103–117, 2016.
Brigode, P., Brissette, F., Nicault, A., Perreault, L., Kuentz, A., Mathevet, T., and Gailhard, J.: Streamflow variability over the 1881–2011 period in northern Québec: comparison of hydrological reconstructions based on tree rings and geopotential height field reanalysis, Clim. Past, 12, 1785–1804, https://doi.org/10.5194/cp-12-1785-2016, 2016.
Broderick, C., Matthews, T., Wilby, R. L., Bastola, S., and Murphy, C.:
Transferability of hydrological models and ensemble averaging methods
between contrasting climatic periods, Water Resour. Res., 52,
8343–8373, https://doi.org/10.1002/2016WR018850, 2016.
Caillouet, L., Vidal, J.-P., Sauquet, E., Devers, A., and Graff, B.: Ensemble reconstruction of spatio-temporal extreme low-flow events in France since 1871, Hydrol. Earth Syst. Sci., 21, 2923–2951, https://doi.org/10.5194/hess-21-2923-2017, 2017.
Calvin, K. and Bond-Lamberty, B.: Integrated human-earth system
modeling–state of the science and future directions, Environ.
Res. Lett., 13, 063006, https://doi.org/10.1088/1748-9326/aac642, 2018.
Casty, C., Raible, C. C., Stocker, T. F., Wanner, H., and Luterbacher, J.: A
European pattern climatology 1766–2000, Clim. Dynam., 29, 791–805, https://doi.org/10.1007/s00382-007-0257-6, 2007.
Cheng, J. and Druzdzel, M. J.: Latin Hypercube Sampling in Bayesian
Networks, American Association for Artificial Intelligence, Pittsburgh,
2000.
Centre for Ecology & Hydrology: UK Reconstructed Flow Data Explorer, available at: https://shiny-apps.ceh.ac.uk/reconstruction_explorer/ (last access: 23 July 2019), 2018a.
Centre for Ecology & Hydrology: UK Hydrological Drought Explorer, available at: https://shiny-apps.ceh.ac.uk/hydro_drought_explorer/ (last access: 23 July 2019), 2018b.
Christierson, B. V., Vidal, J.-P., and Wade, S. D.: Using UKCP09
probabilistic climate information for UK water resource planning, J.
Hydrol., 424–425, 48–67,
https://doi.org/10.1016/j.jhydrol.2011.12.020, 2012.
Collet, L., Harrigan, S., Prudhomme, C., Formetta, G., and Beevers, L.: Future hot-spots for hydro-hazards in Great Britain: a probabilistic assessment, Hydrol. Earth Syst. Sci., 22, 5387–5401, https://doi.org/10.5194/hess-22-5387-2018, 2018.
Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Matsui, N., Allan, R. J.,
Yin, X., Gleason, B. E., Vose, R. S., Rutledge, G., Bessemoulin, P.,
Brönnimann, S., Brunet, M., Crouthamel, R. I., Grant, A. N., Groisman,
P. Y., Jones, P. D., Kruk, M. C., Kruger, A. C., Marshall, G. J., Maugeri,
M., Mok, H. Y., Nordli, Ø., Ross, T. F., Trigo, R. M., Wang, X. L.,
Woodruff, S. D., and Worley, S. J.: The Twentieth Century Reanalysis
Project, Q. J. Roy. Meteor. Soc., 137, 1–28,
https://doi.org/10.1002/qj.776, 2011.
Cook, E. R., Seager, R., Kushnir, Y., Briffa, K. R., Büntgen, U., Frank,
D., Krusic, P. J., Tegel, W., van der Schrier, G., Andreu-Hayles, L.,
Baillie, M., Baittinger, C., Bleicher, N., Bonde, N., Brown, D., Carrer, M.,
Cooper, R., Čufar, K., Dittmar, C., Esper, J., Griggs, C., Gunnarson,
B., Günther, B., Gutierrez, E., Haneca, K., Helama, S., Herzig, F.,
Heussner, K.-U., Hofmann, J., Janda, P., Kontic, R., Köse, N., Kyncl,
T., Levanič, T., Linderholm, H., Manning, S., Melvin, T. M., Miles, D.,
Neuwirth, B., Nicolussi, K., Nola, P., Panayotov, M., Popa, I., Rothe, A.,
Seftigen, K., Seim, A., Svarva, H., Svoboda, M., Thun, T., Timonen, M.,
Touchan, R., Trotsiuk, V., Trouet, V., Walder, F., Ważny, T., Wilson,
R., and Zang, C.: Old World megadroughts and pluvials during the Common Era,
Science Advances, 1, e1500561, https://doi.org/10.1126/sciadv.1500561, 2015.
Coron, L., Thirel, G., Delaigue, O., Perrin, C., and Andréassian, V.:
The Suite of Lumped GR Hydrological Models in an R package, Environ.
Modell. Softw., 94, 166–171, https://doi.org/10.1016/j.envsoft.2017.05.002, 2017.
Dawson, C. W., Abrahart, R. J., and See, L. M.: HydroTest: A web-based
toolbox of evaluation metrics for the standardised assessment of
hydrological forecasts, Environ. Modell. Softw., 22,
1034–1052, https://doi.org/10.1016/j.envsoft.2006.06.008,
2007.
Day, G. N.: Extended Streamflow Forecasting using NWSRFS, J. Water Res.
Pl., 111, 642–654, 1985.
Dixon, H., Hannaford, J., and Fry, M. J.: The effective management of
national hydrometric data: experiences from the United Kingdom, Hydrolog.
Sci. J., 58, 1383–1399, https://doi.org/10.1080/02626667.2013.787486, 2013.
Duan, Q., Gupta, V. K., and Sorooshian, S.: Shuffled complex evolution
approach for effective and efficient global minimization, J.
Optimiz. Theory Appl., 76, 501–521, 1993.
Efstratiadis, A. and Koutsoyiannis, D.: One decade of multi-objective
calibration approaches in hydrological modelling: a review, Hydrolog.
Sci. J., 55, 58–78, https://doi.org/10.1080/02626660903526292, 2010.
GRDC: The Global Runoff Data Base, D-56002
Koblenz, Germany, https://www.bafg.de/GRDC/EN/02_srvcs/21_tmsrs/riverdischarge_node.html,
2019.
Guerreiro, S. B., Dawson, R. J., Kilsby, C., Lewis, E., and Ford, A.: Future
heat-waves, droughts and floods in 571 European cities, Environ.
Res. Lett., 13, 034009, https://doi.org/10.1088/1748-9326/aaaad3, 2018.
Guo, D., Westra, S., and Maier, H. R.: Use of a scenario-neutral approach to
identify the key hydro-meteorological attributes that impact runoff from a
natural catchment, J. Hydrol., 554, 317–330,
https://doi.org/10.1016/j.jhydrol.2017.09.021, 2017.
Harrigan, S., Hannaford, J., Muchan, K., and Marsh, T.: Designation and
trend analysis of the updated UK Benchmark Network of river flow stations:
The UKBN2 dataset, Hydrol. Res., 29, 552–567, https://doi.org/10.2166/nh.2017.058, 2017.
Harrigan, S., Prudhomme, C., Parry, S., Smith, K., and Tanguy, M.: Benchmarking ensemble streamflow prediction skill in the UK, Hydrol. Earth Syst. Sci., 22, 2023–2039, https://doi.org/10.5194/hess-22-2023-2018, 2018.
Haxton, T., Crooks, S., Jackson, C. R., Barkwith, A. K. A. P., Kelvin, J.,
Williamson, J., Mackay, J. D., Wang, L., Davies, H., Young, A., and
Prudhomme, C.: Future flows hydrology data, NERC Environmental Information
Data Centre,
https://doi.org/10.5285/f3723162-4fed-4d9d-92c6-dd17412fa37b, 2012.
Herman, J. D., Zeff, H. B., Lamontagne, J. R., Reed, P. M., and Characklis,
G. W.: Synthetic Drought Scenario Generation to Support Bottom-Up Water
Supply Vulnerability Assessments, J. Water Res. Plan.
Man., 142, 04016050, https://doi.org/10.1061/(ASCE)WR.1943-5452.0000701, 2016.
HM Government: UK Climate Change Risk Assessment 2017: Presented to Parliament pursuant to Section 56 of the Climate Change Act 2008, available at: https://www.gov.uk/government/publications/uk-climate-change-risk-assessment-2017 (last access: 23 July 2019), 2017.
Jones, P. D. and Lister, D. H.: Riverflow reconstructions for 15 catchments
over England and Wales and an assessment of hydrologic drought since 1865,
Int. J. Climatol., 18, 999–1013, https://doi.org/10.1002/(sici)1097-0088(199807)18:9<999::aid-joc300>3.0.co;2-8, 1998.
Jones, P. D., Briffa, K. R., and Pilcher, J. R.: Riverflow reconstruction
from tree rings in southern Britain, J. Climatol., 4, 461–472, https://doi.org/10.1002/joc.3370040502, 1984.
Jones, P. D., Lister, D. H., Wilby, R. L., and Kostopoulou, E.: Extended
riverflow reconstructions for England and Wales, 1865–2002, International
J. Climatol., 26, 219–231, https://doi.org/10.1002/joc.1252, 2006.
Jung, D., Choi, Y. H., and Kim, J.: Multiobjective Automatic Parameter Calibration of a Hydrological Model, Water, 9, 187, https://doi.org/10.3390/w9030187, 2017.
Kamali, B., Mousavi, S. J., and Abbaspour, K. C.: Automatic calibration of
HEC-HMS using single-objective and multi-objective PSO algorithms,
Hydrol. Process., 27, 4028–4042, https://doi.org/10.1002/hyp.9510, 2013.
Kay, A. L., Bell, V. A., Guillod, B. P., Jones, R. G., and Rudd, A. C.:
National-scale analysis of low flow frequency: historical trends and
potential future changes, Climatic Change, 147, 585–599, https://doi.org/10.1007/s10584-018-2145-y, 2018.
Kim, S. M., Benham, B. L., Brannan, K. M., Zeckoski, R. W., and Doherty, J.:
Comparison of hydrologic calibration of HSPF using automatic and manual
methods, Water Resour. Res., 43, W01402, https://doi.org/10.1029/2006wr004883, 2007.
Krause, P., Boyle, D. P., and Bäse, F.: Comparison of differenct
efficiency criteria for hydrological model assessment, Adv.
Geosci., 5, 89–97, 2005.
Kundzewicz, Z. W. and Matczak, P.: Hydrological extremes and security,
P. Int. Ass. Hydrol. Sci., 366,
44–53, 2015.
Lavers, D. A., Hannah, D. M., and Bradley, C.: Connecting large-scale
atmospheric circulation, river flow and groundwater levels in a chalk
catchment in southern England, J. Hydrol., 523, 179–189,
https://doi.org/10.1016/j.jhydrol.2015.01.060, 2015.
Legg, T.: Uncertainties in gridded area-average monthly temperature,
precipitation and sunshine for the United Kingdom, Int. J.
Climatol., 35, 1367–1378, https://doi.org/10.1002/joc.4062, 2015.
Marsh, T., Cole, G., and Wilby, R.: Major droughts in England and Wales,
1800–2006, Weather, 62, 87–93, https://doi.org/10.1002/wea.67, 2007.
Marx, A., Kumar, R., Thober, S., Rakovec, O., Wanders, N., Zink, M., Wood, E. F., Pan, M., Sheffield, J., and Samaniego, L.: Climate change alters low flows in Europe under global warming of 1.5, 2, and 3 ∘C, Hydrol. Earth Syst. Sci., 22, 1017–1032, https://doi.org/10.5194/hess-22-1017-2018, 2018.
McGuinness, J. L. and Bordne, E. F.: A Comparison of Lysimeter-Derived
Potential Evapotranspiration With Computed Values, United States Department
of Agriculture, Economic Research Service, 1972.
McKay, M. D., Beckman, R. J., and Conover, W. J.: Comparison of three
methods for selecting values of input variables in the analysis of output
from a computer code, Technometrics, 21, 239–245, 1979.
McKee, T. B., Doeksen, N. J., and Kleist, J.: The relationship of drought
frequency and duration to time scales, Eighth Conference on Applied
Climatology, Anaheim, California, 1993.
Mens, M. J. P., Gilroy, K., and Williams, D.: Developing system robustness analysis for drought risk management: an application on a water supply reservoir, Nat. Hazards Earth Syst. Sci., 15, 1933–1940, https://doi.org/10.5194/nhess-15-1933-2015, 2015.
Met Office: UKCP09: Met Office gridded land surface climate observations –
daily temperature and precipitation at 5km resolution, Centre for
Environmental Data Analysis, available at: http://catalogue.ceda.ac.uk/uuid/319b3f878c7d4cbfbdb356e19d8061d6 (last access: 23 July 2019), 2017.
Met Office Hadley Centre: UKCP18 Probabilistic Climate Projections, Centre
for Environmental Data Analysis, available at: http://catalogue.ceda.ac.uk/uuid/9842e395f2d04f48a177c3550756bf98 (last access: 23 July 2019), 2018.
Monteith, J. L.: Evaporation and Environment, Symposium of the Society for
Experimental Biology, 19, 205–234, 1965.
Mostafaie, A., Forootan, E., Safari, A., and Schumacher, M.: Comparing
multi-objective optimization techniques to calibrate a conceptual
hydrological model using in situ runoff and daily GRACE data, Comput.
Geosci., 22, 789–814, 2018.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual
models part I – A discussion of principles, J. Hydrol., 10,
282–290, 1970.
National River Flow Archive: Accuracy and Fitness for Purpose, available at: https://nrfa.ceh.ac.uk/accuracy-fitness-for-purpose, last access: 23 July 2019.
New, M., Hulme, M., and Jones, P.: Representing Twentieth-Century
Space–Time Climate Variability. Part II: Development of 1901–96 Monthly
Grids of Terrestrial Surface Climate, Anglais, 13, 2217–2238, https://doi.org/10.1175/1520-0442(2000)013<2217:Rtcstc>2.0.Co;2, 2000.
Noone, S., Broderick, C., Duffy, C., Matthews, T., Wilby, R. L., and Murphy,
C.: A 250-year drought catalogue for the island of Ireland (1765–2015),
Int. J. Climatol., 37, 239–254, https://doi.org/10.1002/joc.4999,
2017.
Northumbrian Water: Draft Drought Plan 2018, Northumbrian Water, Durham,
20–21, 2017.
Parry, S., Wilby, R., Prudhomme, C., Wood, P., and McKenzie, A.:
Demonstrating the utility of a drought termination framework: prospects for
groundwater level recovery in England and Wales in 2018 or beyond,
Environ. Res. Lett., 13, 064040, https://doi.org/10.1088/1748-9326/aac78c, 2018.
Paturel, J. E., Servat, E., and Vassiliadis, A.: Sensitivity of conceptual
rainfall-runoff algorithms to errors in input data – case of the GR2M
model, J. Hydrol., 168, 111–125,
https://doi.org/10.1016/0022-1694(94)02654-T, 1995.
Perrin, C., Michel, C., and Andréassian, V.: Improvement of a
parsimonious model for streamflow simulation, J. Hydrol., 279,
275–289, https://doi.org/10.1016/S0022-1694(03)00225-7, 2003.
Perry, M. and Hollis, D.: The generation of monthly gridded datasets for a
range of climatic variables over the UK, Int. J.
Climatol., 25, 1041–1054, https://doi.org/10.1002/joc.1161, 2005.
Pfister, C., Weingartner, R., and Luterbacher, J.: Hydrological winter
droughts over the last 450 years in the Upper Rhine basin: a methodological
approach, Hydrolog. Sci. J., 51, 966–985, https://doi.org/10.1623/hysj.51.5.966,
2006.
Prudhomme, C., Young, A., Watts, G., Haxton, T., Crooks, S., Williamson, J.,
Davies, H., Dadson, S., and Allen, S.: The drying up of Britain? A national
estimate of changes in seasonal river flows from 11 Regional Climate Model
simulations, Hydrol. Process., 26, 1115–1118, https://doi.org/10.1002/hyp.8434, 2012.
Prudhomme, C., Hannaford, J., Harrigan, S., Boorman, D., Knight, J., Bell,
V., Jackson, C., Svensson, C., Parry, S., Bachiller-Jareno, N., Davies, H.,
Davis, R., Mackay, J., McKenzie, A., Rudd, A., Smith, K., Bloomfield, J.,
Ward, R., and Jenkins, A.: Hydrological Outlook UK: an operational
streamflow and groundwater level forecasting system at monthly to seasonal
time scales, Hydrolog. Sci. J., 62, 2753–2768, https://doi.org/10.1080/02626667.2017.1395032, 2017.
Pushpalatha, R., Perrin, C., Le Moine, N., Mathevet, T., and
Andréassian, V.: A downward structural sensitivity analysis of
hydrological models to improve low-flow simulation, J. Hydrol.,
411, 66–76, https://doi.org/10.1016/j.jhydrol.2011.09.034,
2011.
Seiller, G. and Anctil, F.: How do potential evapotranspiration formulas
influence hydrological projections?, Hydrolog. Sci. J., 61,
2249–2266, https://doi.org/10.1080/02626667.2015.1100302, 2016.
Shafii, M. and De Smedt, F.: Multi-objective calibration of a distributed hydrological model (WetSpa) using a genetic algorithm, Hydrol. Earth Syst. Sci., 13, 2137–2149, https://doi.org/10.5194/hess-13-2137-2009, 2009.
Smith, K.: Investigating Uncertainty in Global Hydrology Modelling, Doctor
of Philosophy, School of Geography, University of Nottingham, Nottingham,
338 pp., 2016.
Smith, K. A., Tanguy, M., Hannaford, J., and Prudhomme, C.: Historic
reconstructions of daily river flow for 303 UK catchments (1891–2015), NERC
Environmental Information Data Centre, https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e, 2018a.
Smith, K. A., Wilby, R. L., Broderick, C., Prudhomme, C., Matthews, T.,
Harrigan, S., and Murphy, C.: Navigating Cascades of Uncertainty – As Easy
as ABC? Not Quite …, J. Extreme Events, 05, 1850007, https://doi.org/10.1142/s2345737618500070, 2018b.
Southern Water: Drought Plan, Southern Water, Worthing, 50–61, 2013.
Spraggs, G., Peaver, L., Jones, P., and Ede, P.: Re-construction of historic
drought in the Anglian Region (UK) over the period 1798–2010 and the
implications for water resources and drought management, J.
Hydrol., 526, 231–252,
https://doi.org/10.1016/j.jhydrol.2015.01.015, 2015.
Stoelzle, M., Stahl, K., Morhard, A., and Weiler, M.: Streamflow sensitivity
to drought scenarios in catchments with different geology, Geophys.
Res. Lett., 41, 6174–6183, 2014.
Svensson, C.: Seasonal river flow forecasts for the United Kingdom using
persistence and historical analogues, Hydrolog. Sci. J., 61,
19–35, https://doi.org/10.1080/02626667.2014.992788, 2016.
Svensson, C., Hannaford, J., and Prosdocimi, I.: Statistical distributions
for monthly aggregations of precipitation and streamflow in drought
indicator applications, Water Resour. Res., 53, 999–1018,
https://doi.org/10.1002/2016WR019276, 2017.
Tanguy, M., Prudhomme, C., Smith, K., and Hannaford, J.: Historic Gridded
Potential Evapotranspiration (PET) based on temperature-based equation
McGuinness-Bordne calibrated for the UK (1891–2015), NERC Environmental
Information Data Centre,
https://doi.org/10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c, 2017.
Tanguy, M., Prudhomme, C., Smith, K., and Hannaford, J.: Historical gridded reconstruction of potential evapotranspiration for the UK, Earth Syst. Sci. Data, 10, 951–968, https://doi.org/10.5194/essd-10-951-2018, 2018.
Teuling, A. J.: A hot future for European droughts, Nat. Clim. Change,
8, 364–365, https://doi.org/10.1038/s41558-018-0154-5, 2018.
Valéry, A., Andréassian, V., and Perrin, C.: As simple as possible
but not simpler': What is useful in a temperature-based snow-accounting
routine? Part 1 – Comparison of six snow accounting routines on 380
catchments, J. Hydrol., 517, 1166–1175,
https://doi.org/10.1016/j.jhydrol.2014.04.059, 2014.
Vansteenkiste, T., Tavakoli, M., Van Steenbergen, N., De Smedt, F.,
Batelaan, O., Pereira, F., and Willems, P.: Intercomparison of five lumped
and distributed models for catchment runoff and extreme flow simulation,
J. Hydrol., 511, 335–349,
https://doi.org/10.1016/j.jhydrol.2014.01.050, 2014.
Vicente-Serrano, S. M., Beguería, S., Lorenzo-Lacruz, J., Camarero, J.
J., López-Moreno, J. I., Azorin-Molina, C., Revuelto, J.,
Morán-Tejeda, E., and Sanchez-Lorenzo, A.: Performance of Drought
Indices for Ecological, Agricultural, and Hydrological Applications, Earth
Interact., 16, 1–27, https://doi.org/10.1175/2012ei000434.1, 2012.
Wallner, M., Haberlandt, U., and Dietrich, J.: Evaluation of different
calibration strategies for large scale continuous hydrological modelling,
Adv. Geosci., 31, 67–74, https://doi.org/10.5194/adgeo-31-67-2012, 2012.
Warszawski, L., Frieler, K., Huber, V., Piontek, F., Serdeczny, O., and
Schewe, J.: The Inter-Sectoral Impact Model Intercomparison Project
(ISI–MIP): Project framework, P. Natl. Acad.
Sci. USA, 111, 3228–3232, https://doi.org/10.1073/pnas.1312330110, 2014.
Wilby, R. L. and Harris, I.: A framework for assessing uncertainties in
climate change impacts: Low-flow scenarios for the River Thames, UK, Water
Resour. Res., 42, W02419, https://doi.org/10.1029/2005wr004065, 2006.
Wu, Z. Y., Lu, G. H., Wen, L., and Lin, C. A.: Reconstructing and analyzing China's fifty-nine year (1951–2009) drought history using hydrological model simulation, Hydrol. Earth Syst. Sci., 15, 2881–2894, https://doi.org/10.5194/hess-15-2881-2011, 2011.
Yapo, P. O., Gupta, H. V., and Sorooshian, S.: Multi-objective global
optimization for hydrologic models, J. Hydrol., 204, 83–97,
https://doi.org/10.1016/S0022-1694(97)00107-8, 1998.
Short summary
This paper describes the multi-objective calibration approach used to create a consistent dataset of reconstructed daily river flow data for 303 catchments in the UK over 1891–2015. The modelled data perform well when compared to observations, including in the timing and the classification of drought events. This method and data will allow for long-term studies of flow trends and past extreme events that have not been previously possible, enabling water managers to better plan for the future.
This paper describes the multi-objective calibration approach used to create a consistent...
