Articles | Volume 26, issue 9
https://doi.org/10.5194/hess-26-2583-2022
© Author(s) 2022. 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-26-2583-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 May 2022
Research article |
| 17 May 2022
| 17 May 2022
Regional, multi-decadal analysis on the Loire River basin reveals that stream temperature increases faster than air temperature
Hanieh Seyedhashemi
CORRESPONDING AUTHOR
INRAE, UR RiverLy, 5 rue de la Doua CS 20244, 69625 Villeurbanne, France
EA 6293 GéoHydrosystèmes COntinentaux, Université François-Rabelais de Tours, Parc de Grandmont, 37200 Tours, France
Jean-Philippe Vidal
INRAE, UR RiverLy, 5 rue de la Doua CS 20244, 69625 Villeurbanne, France
Jacob S. Diamond
INRAE, UR RiverLy, 5 rue de la Doua CS 20244, 69625 Villeurbanne, France
Dominique Thiéry
BRGM, Bureau de Recherches Géologiques et Minières, BP 6009 45060 Orléans CEDEX 2, France
Céline Monteil
EDF – Recherche et Développement, Laboratoire National d'Hydraulique et Environnement, Chatou, France
Frédéric Hendrickx
EDF – Recherche et Développement, Laboratoire National d'Hydraulique et Environnement, Chatou, France
Anthony Maire
EDF – Recherche et Développement, Laboratoire National d'Hydraulique et Environnement, Chatou, France
Florentina Moatar
INRAE, UR RiverLy, 5 rue de la Doua CS 20244, 69625 Villeurbanne, France
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Hydrol. Earth Syst. Sci., 27, 3375–3391, https://doi.org/10.5194/hess-27-3375-2023, https://doi.org/10.5194/hess-27-3375-2023, 2023
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Jacob S. Diamond, Daniel L. McLaughlin, Robert A. Slesak, and Atticus Stovall
Hydrol. Earth Syst. Sci., 23, 5069–5088, https://doi.org/10.5194/hess-23-5069-2019, https://doi.org/10.5194/hess-23-5069-2019, 2019
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André Chandesris, Kris Van Looy, Jacob S. Diamond, and Yves Souchon
Hydrol. Earth Syst. Sci., 23, 4509–4525, https://doi.org/10.5194/hess-23-4509-2019, https://doi.org/10.5194/hess-23-4509-2019, 2019
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Laurie Caillouet, Jean-Philippe Vidal, Eric Sauquet, Benjamin Graff, and Jean-Michel Soubeyroux
Earth Syst. Sci. Data, 11, 241–260, https://doi.org/10.5194/essd-11-241-2019, https://doi.org/10.5194/essd-11-241-2019, 2019
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SCOPE Climate is a 25-member ensemble of 142-year daily high-resolution reconstructions of precipitation, temperature, and Penman–Monteith reference evapotranspiration over France. It is the first century-long gridded high-resolution homogeneous dataset available over France. It thus paves the way for studying local historical meteorological events and for assessing the local climate variability from the end of the 19th century.
Laura Rouhier, Federico Garavaglia, Matthieu Le Lay, Timothée Michon, William Castaings, Nicolas Le Moine, Frédéric Hendrickx, Céline Monteil, and Pierre Ribstein
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-342, https://doi.org/10.5194/hess-2018-342, 2018
Manuscript not accepted for further review
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Parameter estimation of distributed hydrological models is usually conducted with a single method. However, the main methods can be combined to consider differently the model parameters according to their characteristics. The strategy presented in the paper takes advantage of three different methods to provide four different spatial patterns. This tailor-made method then proves to be more robust and more relevant for prediction in ungauged basins while significantly reducing the number of degree.
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.
Laurie Caillouet, Jean-Philippe Vidal, Eric Sauquet, Alexandre Devers, and Benjamin Graff
Hydrol. Earth Syst. Sci., 21, 2923–2951, https://doi.org/10.5194/hess-21-2923-2017, https://doi.org/10.5194/hess-21-2923-2017, 2017
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The historical depth of streamflow observations in France is extended through daily hydrometeorogical reconstructions from 1871 onwards over a large set of near-natural catchments. Innovative approaches are proposed to identify and intercompare extreme low-flow events from these reconstructions, both in time and across France in a homogeneous way over more than 140 years. Analyses bring forward recent well-known events like 1976 and 1989–1990 but also much older ones like 1878 and 1893.
Jean-Philippe Vidal, Benoît Hingray, Claire Magand, Eric Sauquet, and Agnès Ducharne
Hydrol. Earth Syst. Sci., 20, 3651–3672, https://doi.org/10.5194/hess-20-3651-2016, https://doi.org/10.5194/hess-20-3651-2016, 2016
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Possible transient futures of winter and summer low flows for two snow-influenced catchments in the southern French Alps show a strong decrease signal. It is however largely masked by the year-to-year variability, which should be the main target for defining adaptation strategies. Responses of different hydrological models strongly diverge in the future, suggesting to carefully check the robustness of evapotranspiration and snowpack components under a changing climate.
Laurie Caillouet, Jean-Philippe Vidal, Eric Sauquet, and Benjamin Graff
Clim. Past, 12, 635–662, https://doi.org/10.5194/cp-12-635-2016, https://doi.org/10.5194/cp-12-635-2016, 2016
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This paper describes a daily high-resolution reconstruction of precipitation and temperature fields in France from 1871 onwards. A statistical method linking atmospheric circulation to local precipitation is refined for taking advantage of recently published global long-term atmospheric and oceanic reconstructions. The resulting data set allows filling in the spatial and temporal data gaps in historical surface observations, and improving our knowledge on the local-scale climate variability.
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.
S. Radanovics, J.-P. Vidal, E. Sauquet, A. Ben Daoud, and G. Bontron
Hydrol. Earth Syst. Sci., 17, 4189–4208, https://doi.org/10.5194/hess-17-4189-2013, https://doi.org/10.5194/hess-17-4189-2013, 2013
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Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
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Statistical post-processing of precipitation forecasts using circulation classifications and spatiotemporal deep neural networks
Bamidele Oloruntoba, Stefan Kollet, Carsten Montzka, Harry Vereecken, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 29, 1659–1683, https://doi.org/10.5194/hess-29-1659-2025, https://doi.org/10.5194/hess-29-1659-2025, 2025
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We studied how soil and weather data affect land model simulations over Africa. By combining soil data processed in different ways with weather data of varying time intervals, we found that weather inputs had a greater impact on water processes than soil data type. However, the way soil data were processed became crucial when paired with high-frequency weather inputs, showing that detailed weather data can improve local and regional predictions of how water moves and interacts with the land.
Yan Li, Bo Huang, Chunping Tan, Xia Zhang, Francesco Cherubini, and Henning W. Rust
Hydrol. Earth Syst. Sci., 29, 1637–1658, https://doi.org/10.5194/hess-29-1637-2025, https://doi.org/10.5194/hess-29-1637-2025, 2025
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Deforestation has a significant impact on climate, yet its effects on drought remain less understood. This study investigates how deforestation affects drought across various climate zones and timescales. Findings indicate that deforestation leads to drier conditions in tropical regions and wetter conditions in arid areas, with minimal effects in temperate zones. Long-term drought is more affected than short-term drought, offering valuable insights into vegetation–climate interactions.
Iván Noguera, Jamie Hannaford, and Maliko Tanguy
Hydrol. Earth Syst. Sci., 29, 1295–1317, https://doi.org/10.5194/hess-29-1295-2025, https://doi.org/10.5194/hess-29-1295-2025, 2025
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The study provides a detailed characterisation of flash drought in the UK for 1969–2021. The spatio-temporal distribution and trends of flash droughts are highly variable, with important regional and seasonal contrasts. In the UK, flash drought development responds primarily to precipitation variability, while the atmospheric evaporative demand plays a secondary role. We also found that the North Atlantic Oscillation is the main circulation pattern controlling flash drought development.
Geert Lenderink, Nikolina Ban, Erwan Brisson, Ségolène Berthou, Virginia Edith Cortés-Hernández, Elizabeth Kendon, Hayley J. Fowler, and Hylke de Vries
Hydrol. Earth Syst. Sci., 29, 1201–1220, https://doi.org/10.5194/hess-29-1201-2025, https://doi.org/10.5194/hess-29-1201-2025, 2025
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Future extreme rainfall events are influenced by changes in both absolute and relative humidity. The impact of increasing absolute humidity is reasonably well understood, but the role of relative humidity decreases over land remains largely unknown. Using hourly observations from France and the Netherlands, we find that lower relative humidity generally leads to more intense rainfall extremes. This relation is only captured well in recently developed convection-permitting climate models.
Alexis Bédard-Therrien, François Anctil, Julie M. Thériault, Olivier Chalifour, Fanny Payette, Alexandre Vidal, and Daniel F. Nadeau
Hydrol. Earth Syst. Sci., 29, 1135–1158, https://doi.org/10.5194/hess-29-1135-2025, https://doi.org/10.5194/hess-29-1135-2025, 2025
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Precipitation data from an automated observational network in eastern Canada showed a temperature interval where rain and snow could coexist. Random forest models were developed to classify the precipitation phase using meteorological data to evaluate operational applications. The models demonstrated significantly improved phase classification and reduced error compared to benchmark operational models. However, accurate prediction of mixed-phase precipitation remains challenging.
Lorenzo Silvestri, Miriam Saraceni, Bruno Brunone, Silvia Meniconi, Giulia Passadore, and Paolina Bongioannini Cerlini
Hydrol. Earth Syst. Sci., 29, 925–946, https://doi.org/10.5194/hess-29-925-2025, https://doi.org/10.5194/hess-29-925-2025, 2025
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This work demonstrates that seasonal forecasts of soil moisture are a valuable resource for groundwater management in the areas of the Central Mediterranean where longer memory timescales are found. In particular, they show significant correlation coefficients and forecast skill for the deepest soil moisture at 289 cm depth. Wet and dry events can be predicted 6 months in advance, and, in general, dry events are better captured than wet events.
Mohammad A. Farmani, Ali Behrangi, Aniket Gupta, Ahmad Tavakoly, Matthew Geheran, and Guo-Yue Niu
Hydrol. Earth Syst. Sci., 29, 547–566, https://doi.org/10.5194/hess-29-547-2025, https://doi.org/10.5194/hess-29-547-2025, 2025
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Soil moisture memory (SMM) shows how long soil stays moist after rain, impacting climate and ecosystems. Current models often overestimate SMM, causing inaccuracies in evaporation predictions. We enhanced a land model, Noah-MP, to include better water flow and ponding processes, and we tested it against satellite and field data. This improved model reduced overestimations and enhanced short-term predictions, helping create more accurate climate and weather forecasts.
Felipe Lobos-Roco, Jordi Vilà-Guerau de Arellano, and Camilo del Río
Hydrol. Earth Syst. Sci., 29, 109–125, https://doi.org/10.5194/hess-29-109-2025, https://doi.org/10.5194/hess-29-109-2025, 2025
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Water resources are fundamental for the social, economic, and natural development of (semi-)arid regions. Precipitation decreases due to climate change obligate us to find new water resources. Fog harvesting (FH) emerges as a complementary resource in regions where it is abundant but untapped. This research proposes a model to estimate FH potential in coastal (semi-)arid regions. This model could have broader applicability worldwide in regions where FH could be a viable water source.
Kyle R. Mankin, Sushant Mehan, Timothy R. Green, and David M. Barnard
Hydrol. Earth Syst. Sci., 29, 85–108, https://doi.org/10.5194/hess-29-85-2025, https://doi.org/10.5194/hess-29-85-2025, 2025
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We assess 63 gridded ground (G), satellite (S), and reanalysis (R) climate datasets. Higher-density station data and less-hilly terrain improved climate data. In mountainous and humid regions, dataset types performed similarly; however, R outperformed G when underlying data had low station density. G outperformed S or R datasets, although better streamflow modeling did not always follow. Hydrologic analyses need datasets that better represent climate variable dependencies and complex topography.
Rasmus E. Benestad, Kajsa M. Parding, and Andreas Dobler
Hydrol. Earth Syst. Sci., 29, 45–65, https://doi.org/10.5194/hess-29-45-2025, https://doi.org/10.5194/hess-29-45-2025, 2025
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We present a new method to calculate the chance of heavy downpour and the maximum rainfall expected over a 25-year period. It is designed to analyse global climate models' reproduction of past and future climates. For the Nordic countries, it projects a wetter climate in the future with increased intensity but not necessarily more wet days. The analysis also shows that rainfall intensity is sensitive to future greenhouse gas emissions, while the number of wet days appears to be less affected.
Chien-Yu Tseng, Li-Pen Wang, and Christian Onof
Hydrol. Earth Syst. Sci., 29, 1–25, https://doi.org/10.5194/hess-29-1-2025, https://doi.org/10.5194/hess-29-1-2025, 2025
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This study presents a new algorithm to model convective storms. We used advanced tracking methods to analyse 165 storm events in Birmingham (UK) and reconstruct storm cell life cycles. We found that cell properties like intensity and size are interrelated and vary over time. The new algorithm, based on vine copulas, accurately simulates these properties and their evolution. It also integrates an exponential shape function for realistic rainfall patterns, enhancing its hydrological applicability.
Kenza Tazi, Andrew Orr, Javier Hernandez-González, Scott Hosking, and Richard E. Turner
Hydrol. Earth Syst. Sci., 28, 4903–4925, https://doi.org/10.5194/hess-28-4903-2024, https://doi.org/10.5194/hess-28-4903-2024, 2024
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This work aims to improve the understanding of precipitation patterns in High-mountain Asia, a crucial water source for around 1.9 billion people. Through a novel machine learning method, we generate high-resolution precipitation predictions, including the likelihoods of floods and droughts. Compared to state-of-the-art methods, our method is simpler to implement and more suitable for small datasets. The method also shows accuracy comparable to or better than existing benchmark datasets.
Peter E. Levy and the COSMOS-UK team
Hydrol. Earth Syst. Sci., 28, 4819–4836, https://doi.org/10.5194/hess-28-4819-2024, https://doi.org/10.5194/hess-28-4819-2024, 2024
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Having accurate up-to-date maps of soil moisture is important for many purposes. However, current modelled and remotely sensed maps are rather coarse and not very accurate. Here, we demonstrate a simple but accurate approach that is closely linked to direct measurements of soil moisture at a network sites across the UK, to the water balance (precipitation minus drainage and evaporation) measured at a large number of catchments (1212) and to remotely sensed satellite estimates.
Amy C. Green, Chris Kilsby, and András Bárdossy
Hydrol. Earth Syst. Sci., 28, 4539–4558, https://doi.org/10.5194/hess-28-4539-2024, https://doi.org/10.5194/hess-28-4539-2024, 2024
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Weather radar is a crucial tool in rainfall estimation, but radar rainfall estimates are subject to many error sources, with the true rainfall field unknown. A flexible model for simulating errors relating to the radar rainfall estimation process is implemented, inverting standard processing methods. This flexible and efficient model performs well in generating realistic weather radar images visually for a large range of event types.
Peyman Abbaszadeh, Keyhan Gavahi, and Hamid Moradkhani
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-209, https://doi.org/10.5194/hess-2024-209, 2024
Revised manuscript accepted for HESS
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The Hybrid Ensemble and Variational Data Assimilation framework for Environmental System (HEAVEN) enhances flood predictions by refining hydrologic models through improved data integration and uncertainty management. Tested in three Southeastern U.S. watersheds during hurricanes, HEAVEN assimilates real-time USGS streamflow data, boosting forecast accuracy.
Ling Zhang, Lu Li, Zhongshi Zhang, Joël Arnault, Stefan Sobolowski, Anthony Musili Mwanthi, Pratik Kad, Mohammed Abdullahi Hassan, Tanja Portele, and Harald Kunstmann
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-278, https://doi.org/10.5194/hess-2024-278, 2024
Revised manuscript accepted for HESS
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To address challenges related to unreliable hydrological simulations, we present an enhanced hydrological simulation with a refined climate model and a more comprehensive hydrological model. The model with the two parts outperforms that without, especially in migrating bias in peak flow and dry-season flow. Our findings highlight the enhanced hydrological simulation capability with the refined climate and lake module contributing 24 % and 76 % improvement, respectively.
Peng Huang, Agnès Ducharne, Lucia Rinchiuso, Jan Polcher, Laure Baratgin, Vladislav Bastrikov, and Eric Sauquet
Hydrol. Earth Syst. Sci., 28, 4455–4476, https://doi.org/10.5194/hess-28-4455-2024, https://doi.org/10.5194/hess-28-4455-2024, 2024
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We conducted a high-resolution hydrological simulation from 1959 to 2020 across France. We used a simple trial-and-error calibration to reduce the biases of the simulated water budget compared to observations. The selected simulation satisfactorily reproduces water fluxes, including their spatial contrasts and temporal trends. This work offers a reliable historical overview of water resources and a robust configuration for climate change impact analysis at the nationwide scale of France.
He Sun, Tandong Yao, Fengge Su, Wei Yang, and Deliang Chen
Hydrol. Earth Syst. Sci., 28, 4361–4381, https://doi.org/10.5194/hess-28-4361-2024, https://doi.org/10.5194/hess-28-4361-2024, 2024
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Our findings show that runoff in the Yarlung Zangbo (YZ) basin is primarily driven by rainfall, with the largest glacier runoff contribution in the downstream sub-basin. Annual runoff increased in the upper stream but decreased downstream due to varying precipitation patterns. It is expected to rise throughout the 21st century, mainly driven by increased rainfall.
Simon Moulds, Louise Slater, Louise Arnal, and Andrew Wood
EGUsphere, https://doi.org/10.31223/X5X405, https://doi.org/10.31223/X5X405, 2024
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Seasonal streamflow forecasts are an important component of flood risk management. Here, we train and test a machine learning model to predict the monthly maximum daily streamflow up to four months ahead. We train the model on precipitation and temperature forecasts to produce probabilistic hindcasts for 579 stations across the UK for the period 2004–2016. We show skilful results up to four months ahead in many locations, although in general the skill declines with increasing lead time.
Louise Arnal, Martyn P. Clark, Alain Pietroniro, Vincent Vionnet, David R. Casson, Paul H. Whitfield, Vincent Fortin, Andrew W. Wood, Wouter J. M. Knoben, Brandi W. Newton, and Colleen Walford
Hydrol. Earth Syst. Sci., 28, 4127–4155, https://doi.org/10.5194/hess-28-4127-2024, https://doi.org/10.5194/hess-28-4127-2024, 2024
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Forecasting river flow months in advance is crucial for water sectors and society. In North America, snowmelt is a key driver of flow. This study presents a statistical workflow using snow data to forecast flow months ahead in North American snow-fed rivers. Variations in the river flow predictability across the continent are evident, raising concerns about future predictability in a changing (snow) climate. The reproducible workflow hosted on GitHub supports collaborative and open science.
Annalina Lombardi, Barbara Tomassetti, Valentina Colaiuda, Ludovico Di Antonio, Paolo Tuccella, Mario Montopoli, Giovanni Ravazzani, Frank Silvio Marzano, Raffaele Lidori, and Giulia Panegrossi
Hydrol. Earth Syst. Sci., 28, 3777–3797, https://doi.org/10.5194/hess-28-3777-2024, https://doi.org/10.5194/hess-28-3777-2024, 2024
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The accurate estimation of precipitation and its spatial variability within a watershed is crucial for reliable discharge simulations. The study is the first detailed analysis of the potential usage of the cellular automata technique to merge different rainfall data inputs to hydrological models. This work shows an improvement in the performance of hydrological simulations when satellite and rain gauge data are merged.
Beijing Fang, Emanuele Bevacqua, Oldrich Rakovec, and Jakob Zscheischler
Hydrol. Earth Syst. Sci., 28, 3755–3775, https://doi.org/10.5194/hess-28-3755-2024, https://doi.org/10.5194/hess-28-3755-2024, 2024
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We use grid-based runoff from a hydrological model to identify large spatiotemporally connected flood events in Europe, assess extent trends over the last 70 years, and attribute the trends to different drivers. Our findings reveal a general increase in flood extent, with regional variations driven by diverse factors. The study not only enables a thorough examination of flood events across multiple basins but also highlights the potential challenges arising from changing flood extents.
Alexandre Devers, Jean-Philippe Vidal, Claire Lauvernet, Olivier Vannier, and Laurie Caillouet
Hydrol. Earth Syst. Sci., 28, 3457–3474, https://doi.org/10.5194/hess-28-3457-2024, https://doi.org/10.5194/hess-28-3457-2024, 2024
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Daily streamflow series for 661 near-natural French catchments are reconstructed over 1871–2012 using two ensemble datasets: HydRE and HydREM. They include uncertainties coming from climate forcings, streamflow measurement, and hydrological model error (for HydrREM). Comparisons with other hydrological reconstructions and independent/dependent observations show the added value of the two reconstructions in terms of quality, uncertainty estimation, and representation of extremes.
Ningpeng Dong, Haoran Hao, Mingxiang Yang, Jianhui Wei, Shiqin Xu, and Harald Kunstmann
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-212, https://doi.org/10.5194/hess-2024-212, 2024
Revised manuscript accepted for HESS
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Hydrometeorological forecasting is crucial for managing water resources and mitigating extreme weather impacts, yet current long-term forecast products are often embedded with uncertainties. We develop a deep learning based modelling framework to improve 30-day rainfall and streamflow forecasts by combining advanced neural networks and outputs from physical models. With the forecast error reduced by up to 32%, the framework has the potential to enhance water management and disaster preparedness.
María Agostina Bracalenti, Omar V. Müller, Miguel A. Lovino, and Ernesto Hugo Berbery
Hydrol. Earth Syst. Sci., 28, 3281–3303, https://doi.org/10.5194/hess-28-3281-2024, https://doi.org/10.5194/hess-28-3281-2024, 2024
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The Gran Chaco is a large, dry forest in South America that has been heavily deforested, particularly in the dry Chaco subregion. This deforestation, mainly driven by the expansion of the agricultural frontier, has changed the land's characteristics, affecting the local and regional climate. The study reveals that deforestation has resulted in reduced precipitation, soil moisture, and runoff, and if intensive agriculture continues, it could make summers in this arid region even drier and hotter.
Rutong Liu, Jiabo Yin, Louise Slater, Shengyu Kang, Yuanhang Yang, Pan Liu, Jiali Guo, Xihui Gu, Xiang Zhang, and Aliaksandr Volchak
Hydrol. Earth Syst. Sci., 28, 3305–3326, https://doi.org/10.5194/hess-28-3305-2024, https://doi.org/10.5194/hess-28-3305-2024, 2024
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Climate change accelerates the water cycle and alters the spatiotemporal distribution of hydrological variables, thus complicating the projection of future streamflow and hydrological droughts. We develop a cascade modeling chain to project future bivariate hydrological drought characteristics over China, using five bias-corrected global climate model outputs under three shared socioeconomic pathways, five hydrological models, and a deep-learning model.
Lu Su, Dennis P. Lettenmaier, Ming Pan, and Benjamin Bass
Hydrol. Earth Syst. Sci., 28, 3079–3097, https://doi.org/10.5194/hess-28-3079-2024, https://doi.org/10.5194/hess-28-3079-2024, 2024
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We fine-tuned the variable infiltration capacity (VIC) and Noah-MP models across 263 river basins in the Western US. We developed transfer relationships to similar basins and extended the fine-tuned parameters to ungauged basins. Both models performed best in humid areas, and the skills improved post-calibration. VIC outperforms Noah-MP in all but interior dry basins following regionalization. VIC simulates annual mean streamflow and high flow well, while Noah-MP performs better for low flows.
Valentin Dura, Guillaume Evin, Anne-Catherine Favre, and David Penot
Hydrol. Earth Syst. Sci., 28, 2579–2601, https://doi.org/10.5194/hess-28-2579-2024, https://doi.org/10.5194/hess-28-2579-2024, 2024
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The increase in precipitation as a function of elevation is poorly understood in areas with complex topography. In this article, the reproduction of these orographic gradients is assessed with several precipitation products. The best product is a simulation from a convection-permitting regional climate model. The corresponding seasonal gradients vary significantly in space, with higher values for the first topographical barriers exposed to the dominant air mass circulations.
Caroline Legrand, Benoît Hingray, Bruno Wilhelm, and Martin Ménégoz
Hydrol. Earth Syst. Sci., 28, 2139–2166, https://doi.org/10.5194/hess-28-2139-2024, https://doi.org/10.5194/hess-28-2139-2024, 2024
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Climate change is expected to increase flood hazard worldwide. The evolution is typically estimated from multi-model chains, where regional hydrological scenarios are simulated from weather scenarios derived from coarse-resolution atmospheric outputs of climate models. We show that two such chains are able to reproduce, from an atmospheric reanalysis, the 1902–2009 discharge variations and floods of the upper Rhône alpine river, provided that the weather scenarios are bias-corrected.
Nenghan Wan, Xiaomao Lin, Roger A. Pielke Sr., Xubin Zeng, and Amanda M. Nelson
Hydrol. Earth Syst. Sci., 28, 2123–2137, https://doi.org/10.5194/hess-28-2123-2024, https://doi.org/10.5194/hess-28-2123-2024, 2024
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Global warming occurs at a rate of 0.21 K per decade, resulting in about 9.5 % K−1 of water vapor response to temperature from 1993 to 2021. Terrestrial areas experienced greater warming than the ocean, with a ratio of 2 : 1. The total precipitable water change in response to surface temperature changes showed a variation around 6 % K−1–8 % K−1 in the 15–55° N latitude band. Further studies are needed to identify the mechanisms leading to different water vapor responses.
Kyungmin Sung, Max C. A. Torbenson, and James H. Stagge
Hydrol. Earth Syst. Sci., 28, 2047–2063, https://doi.org/10.5194/hess-28-2047-2024, https://doi.org/10.5194/hess-28-2047-2024, 2024
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This study examines centuries of nonstationary trends in meteorological drought and pluvial climatology. A novel approach merges tree-ring proxy data (North American Seasonal Precipitation Atlas – NASPA) with instrumental precipitation datasets by temporally downscaling proxy data, correcting biases, and analyzing shared trends in normal and extreme precipitation anomalies. We identify regions experiencing recent unprecedented shifts towards drier or wetter conditions and shifts in seasonality.
Baoying Shan, Niko E. C. Verhoest, and Bernard De Baets
Hydrol. Earth Syst. Sci., 28, 2065–2080, https://doi.org/10.5194/hess-28-2065-2024, https://doi.org/10.5194/hess-28-2065-2024, 2024
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This study developed a convenient and new method to identify the occurrence of droughts, heatwaves, and co-occurring droughts and heatwaves (CDHW) across four seasons. Using this method, we could establish the start and/or end dates of drought (or heatwave) events. We found an increase in the frequency of heatwaves and CDHW events in Belgium caused by climate change. We also found that different months have different chances of CDHW events.
Kazeem Ishola, Gerald Mills, Ankur Sati, Benjamin Obe, Matthias Demuzere, Deepak Upreti, Gourav Misra, Paul Lewis, Daire Walsh, Tim McCarthy, and Rowan Fealy
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-304, https://doi.org/10.5194/hess-2023-304, 2024
Revised manuscript accepted for HESS
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The global soil information contributes to uncertainty in many models that monitor soil hydrothermal changes. Using the NOAH-MP model with two different global soil information, we show under-represented soil properties in wet loam soil, leading to dry bias in soil moisture. The dry bias is higher and drought categories are more severe in SOILGRIDS. We conclude that models should consider using detailed regionally-derived soil information, to reduce model uncertainties.
Georgina M. Falster, Nicky M. Wright, Nerilie J. Abram, Anna M. Ukkola, and Benjamin J. Henley
Hydrol. Earth Syst. Sci., 28, 1383–1401, https://doi.org/10.5194/hess-28-1383-2024, https://doi.org/10.5194/hess-28-1383-2024, 2024
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Multi-year droughts have severe environmental and economic impacts, but the instrumental record is too short to characterise multi-year drought variability. We assessed the nature of Australian multi-year droughts using simulations of the past millennium from 11 climate models. We show that multi-decadal
megadroughtsare a natural feature of the Australian hydroclimate. Human-caused climate change is also driving a tendency towards longer droughts in eastern and southwestern Australia.
Kun Xie, Lu Li, Hua Chen, Stephanie Mayer, Andreas Dobler, Chong-Yu Xu, and Ozan Mert Gokturk
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-68, https://doi.org/10.5194/hess-2024-68, 2024
Revised manuscript accepted for HESS
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We compared extreme precipitations in Norway from convection-permitting models at 3 km resolution (HCLIM3) and regional climate model at 12 km (HCLIM12) and show that the HCLIM3 is more accurate than HCLIM12 in predicting the intense rainfalls that can lead to floods, especially at local scales. This is more clear in hourly extremes than daily. Our research suggests using more detailed climate models could improve forecasts, helping the local society brace for the impacts of extreme weather.
Urmin Vegad, Yadu Pokhrel, and Vimal Mishra
Hydrol. Earth Syst. Sci., 28, 1107–1126, https://doi.org/10.5194/hess-28-1107-2024, https://doi.org/10.5194/hess-28-1107-2024, 2024
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A large population is affected by floods, which leave their footprints through human mortality, migration, and damage to agriculture and infrastructure, during almost every summer monsoon season in India. Despite the massive damage of floods, sub-basin level flood risk assessment is still in its infancy and needs to be improved. Using hydrological and hydrodynamic models, we reconstructed sub-basin level observed floods for the 1901–2020 period.
Qi Sun, Patrick Olschewski, Jianhui Wei, Zhan Tian, Laixiang Sun, Harald Kunstmann, and Patrick Laux
Hydrol. Earth Syst. Sci., 28, 761–780, https://doi.org/10.5194/hess-28-761-2024, https://doi.org/10.5194/hess-28-761-2024, 2024
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Tropical cyclones (TCs) often cause high economic loss due to heavy winds and rainfall, particularly in densely populated regions such as the Pearl River Delta (China). This study provides a reference to set up regional climate models for TC simulations. They contribute to a better TC process understanding and assess the potential changes and risks of TCs in the future. This lays the foundation for hydrodynamical modelling, from which the cities' disaster management and defence could benefit.
Simon Parry, Jonathan D. Mackay, Thomas Chitson, Jamie Hannaford, Eugene Magee, Maliko Tanguy, Victoria A. Bell, Katie Facer-Childs, Alison Kay, Rosanna Lane, Robert J. Moore, Stephen Turner, and John Wallbank
Hydrol. Earth Syst. Sci., 28, 417–440, https://doi.org/10.5194/hess-28-417-2024, https://doi.org/10.5194/hess-28-417-2024, 2024
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We studied drought in a dataset of possible future river flows and groundwater levels in the UK and found different outcomes for these two sources of water. Throughout the UK, river flows are likely to be lower in future, with droughts more prolonged and severe. However, whilst these changes are also found in some boreholes, in others, higher levels and less severe drought are indicated for the future. This has implications for the future balance between surface water and groundwater below.
Francesco Marra, Marika Koukoula, Antonio Canale, and Nadav Peleg
Hydrol. Earth Syst. Sci., 28, 375–389, https://doi.org/10.5194/hess-28-375-2024, https://doi.org/10.5194/hess-28-375-2024, 2024
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We present a new physical-based method for estimating extreme sub-hourly precipitation return levels (i.e., intensity–duration–frequency, IDF, curves), which are critical for the estimation of future floods. The proposed model, named TENAX, incorporates temperature as a covariate in a physically consistent manner. It has only a few parameters and can be easily set for any climate station given sub-hourly precipitation and temperature data are available.
Alexander Gelfan, Andrey Panin, Andrey Kalugin, Polina Morozova, Vladimir Semenov, Alexey Sidorchuk, Vadim Ukraintsev, and Konstantin Ushakov
Hydrol. Earth Syst. Sci., 28, 241–259, https://doi.org/10.5194/hess-28-241-2024, https://doi.org/10.5194/hess-28-241-2024, 2024
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Paleogeographical data show that 17–13 ka BP, the Caspian Sea level was 80 m above the current level. There are large disagreements on the genesis of this “Great” Khvalynian transgression of the sea, and we tried to shed light on this issue. Using climate and hydrological models as well as the paleo-reconstructions, we proved that the transgression could be initiated solely by hydroclimatic factors within the deglaciation period in the absence of the glacial meltwater effect.
Joeri B. Reinders and Samuel E. Munoz
Hydrol. Earth Syst. Sci., 28, 217–227, https://doi.org/10.5194/hess-28-217-2024, https://doi.org/10.5194/hess-28-217-2024, 2024
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Flooding presents a major hazard for people and infrastructure along waterways; however, it is challenging to study the likelihood of a flood magnitude occurring regionally due to a lack of long discharge records. We show that hydroclimatic variables like Köppen climate regions and precipitation intensity explain part of the variance in flood frequency distributions and thus reduce the uncertainty of flood probability estimates. This gives water managers a tool to locally improve flood analysis.
Mehrad Rahimpour Asenjan, Francois Brissette, Jean-Luc Martel, and Richard Arsenault
Hydrol. Earth Syst. Sci., 27, 4355–4367, https://doi.org/10.5194/hess-27-4355-2023, https://doi.org/10.5194/hess-27-4355-2023, 2023
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Climate models are central to climate change impact studies. Some models project a future deemed too hot by many. We looked at how including hot models may skew the result of impact studies. Applied to hydrology, this study shows that hot models do not systematically produce hydrological outliers.
Ross Pidoto and Uwe Haberlandt
Hydrol. Earth Syst. Sci., 27, 3957–3975, https://doi.org/10.5194/hess-27-3957-2023, https://doi.org/10.5194/hess-27-3957-2023, 2023
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Long continuous time series of meteorological variables (i.e. rainfall, temperature) are required for the modelling of floods. Observed time series are generally too short or not available. Weather generators are models that reproduce observed weather time series. This study extends an existing station-based rainfall model into space by enforcing observed spatial rainfall characteristics. To model other variables (i.e. temperature) the model is then coupled to a simple resampling approach.
Kajsa Maria Parding, Rasmus Emil Benestad, Anita Verpe Dyrrdal, and Julia Lutz
Hydrol. Earth Syst. Sci., 27, 3719–3732, https://doi.org/10.5194/hess-27-3719-2023, https://doi.org/10.5194/hess-27-3719-2023, 2023
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Intensity–duration–frequency (IDF) curves describe the likelihood of extreme rainfall and are used in hydrology and engineering, for example, for flood forecasting and water management. We develop a model to estimate IDF curves from daily meteorological observations, which are more widely available than the observations on finer timescales (minutes to hours) that are needed for IDF calculations. The method is applied to all data at once, making it efficient and robust to individual errors.
Kaltrina Maloku, Benoit Hingray, and Guillaume Evin
Hydrol. Earth Syst. Sci., 27, 3643–3661, https://doi.org/10.5194/hess-27-3643-2023, https://doi.org/10.5194/hess-27-3643-2023, 2023
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High-resolution precipitation data, needed for many applications in hydrology, are typically rare. Such data can be simulated from daily precipitation with stochastic disaggregation. In this work, multiplicative random cascades are used to disaggregate time series of 40 min precipitation from daily precipitation for 81 Swiss stations. We show that very relevant statistics of precipitation are obtained when precipitation asymmetry is accounted for in a continuous way in the cascade generator.
Theresa Boas, Heye Reemt Bogena, Dongryeol Ryu, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 27, 3143–3167, https://doi.org/10.5194/hess-27-3143-2023, https://doi.org/10.5194/hess-27-3143-2023, 2023
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In our study, we tested the utility and skill of a state-of-the-art forecasting product for the prediction of regional crop productivity using a land surface model. Our results illustrate the potential value and skill of combining seasonal forecasts with modelling applications to generate variables of interest for stakeholders, such as annual crop yield for specific cash crops and regions. In addition, this study provides useful insights for future technical model evaluations and improvements.
Yuanhong You, Chunlin Huang, Zuo Wang, Jinliang Hou, Ying Zhang, and Peipei Xu
Hydrol. Earth Syst. Sci., 27, 2919–2933, https://doi.org/10.5194/hess-27-2919-2023, https://doi.org/10.5194/hess-27-2919-2023, 2023
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This study aims to investigate the performance of a genetic particle filter which was used as a snow data assimilation scheme across different snow climates. The results demonstrated that the genetic algorithm can effectively solve the problem of particle degeneration and impoverishment in a particle filter algorithm. The system has revealed a low sensitivity to the particle number in point-scale application of the ground snow depth measurement.
Patricia Lawston-Parker, Joseph A. Santanello Jr., and Nathaniel W. Chaney
Hydrol. Earth Syst. Sci., 27, 2787–2805, https://doi.org/10.5194/hess-27-2787-2023, https://doi.org/10.5194/hess-27-2787-2023, 2023
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Irrigation has been shown to impact weather and climate, but it has only recently been considered in prediction models. Prescribing where (globally) irrigation takes place is important to accurately simulate its impacts on temperature, humidity, and precipitation. Here, we evaluated three different irrigation maps in a weather model and found that the extent and intensity of irrigated areas and their boundaries are important drivers of weather impacts resulting from human practices.
Marcos Julien Alexopoulos, Hannes Müller-Thomy, Patrick Nistahl, Mojca Šraj, and Nejc Bezak
Hydrol. Earth Syst. Sci., 27, 2559–2578, https://doi.org/10.5194/hess-27-2559-2023, https://doi.org/10.5194/hess-27-2559-2023, 2023
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For rainfall-runoff simulation of a certain area, hydrological models are used, which requires precipitation data and temperature data as input. Since these are often not available as observations, we have tested simulation results from atmospheric models. ERA5-Land and COSMO-REA6 were tested for Slovenian catchments. Both lead to good simulations results. Their usage enables the use of rainfall-runoff simulation in unobserved catchments as a requisite for, e.g., flood protection measures.
Tuantuan Zhang, Zhongmin Liang, Wentao Li, Jun Wang, Yiming Hu, and Binquan Li
Hydrol. Earth Syst. Sci., 27, 1945–1960, https://doi.org/10.5194/hess-27-1945-2023, https://doi.org/10.5194/hess-27-1945-2023, 2023
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We use circulation classifications and spatiotemporal deep neural networks to correct raw daily forecast precipitation by combining large-scale circulation patterns with local spatiotemporal information. We find that the method not only captures the westward and northward movement of the western Pacific subtropical high but also shows substantially higher bias-correction capabilities than existing standard methods in terms of spatial scale, timescale, and intensity.
Cited articles
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop
Evapotranspiration – Guidelines for computing crop water requirements,
FAO Irrigation and Drainage Paper 56, FAO,
https://appgeodb.nancy.inra.fr/biljou/pdf/Allen_FAO1998.pdf (last access: 11 May 2022), 1998. a
Arevalo, E., Lassalle, G., Tétard, S., Maire, A., Sauquet, E., Lambert, P.,
Paumier, A., Villeneuve, B., and Drouineau, H.: An innovative bivariate
approach to detect joint temporal trends in environmental conditions:
Application to large French rivers and diadromous fish,
Sci. Total Environ., 748, 141260, https://doi.org/10.1016/j.scitotenv.2020.141260, 2020. a, b, c, d
Arismendi, I., Johnson, S. L., Dunham, J. B., Haggerty, R., and Hockman-Wert,
D.: The paradox of cooling streams in a warming world: regional climate
trends do not parallel variable local trends in stream temperature in the
Pacific continental United States, Geophys. Res. Lett., 39, 10, https://doi.org/10.1029/2012GL051448, 2012. a
Arismendi, I., Johnson, S. L., Dunham, J. B., and Haggerty, R.: Descriptors of
natural thermal regimes in streams and their responsiveness to change in the
Pacific Northwest of North America, Freshwater Biol., 58, 880–894,
https://doi.org/10.1111/fwb.12094, 2013a. a
Arismendi, I., Safeeq, M., Johnson, S. L., Dunham, J. B., and Haggerty, R.:
Increasing synchrony of high temperature and low flow in western North
American streams: double trouble for coldwater biota?, Hydrobiologia, 712,
61–70, https://doi.org/10.1007/s10750-012-1327-2, 2013b. a
Arismendi, I., Safeeq, M., Dunham, J. B., and Johnson, S. L.: Can air
temperature be used to project influences of climate change on stream
temperature?, Environ. Res. Lett., 9, 084015,
https://doi.org/10.1088/1748-9326/9/8/084015, 2014. a
Bauer, D. F.: Constructing confidence sets using rank statistics,
J. Am. Stat. Assoc., 67, 687–690,
https://doi.org/10.1080/01621459.1972.10481279, 1972. a
Beaufort, A., Moatar, F., Sauquet, E., Loicq, P., and Hannah, D. M.: Influence
of landscape and hydrological factors on stream–air temperature
relationships at regional scale, Hydrol. Process., 34, 583–597,
https://doi.org/10.1002/hyp.13608, 2020. a
Benyahya, L., Caissie, D., St-Hilaire, A., Ouarda, T. B., and Bobée, B.: A
review of statistical water temperature models,
Can. Water Resour. J., 32, 179–192, https://doi.org/10.4296/cwrj3203179, 2007. a
Blöschl, G., Hall, J., Viglione, A., Perdigão, R. A., Parajka, J., Merz, B., Lun, D., Arheimer, B., Aronica, G. T., Bilibashi, A., and Boháč, M.:
Changing climate both increases and decreases European river floods, Nature,
573, 108–111, https://doi.org/10.1038/s41586-019-1495-6, 2019. a
Bruno, D., Belmar, O., Maire, A., Morel, A., Dumont, B., and Datry, T.:
Structural and functional responses of invertebrate communities to climate
change and flow regulation in alpine catchments, Glob. Change Biol., 25,
1612–1628, https://doi.org/10.1111/gcb.14581, 2019. a
Buisson, L. and Grenouillet, G.: Contrasted impacts of climate change on stream
fish assemblages along an environmental gradient,
Divers. Distrib., 15, 613–626, https://doi.org/10.1111/j.1472-4642.2009.00565.x, 2009. a
Buisson, L., Blanc, L., and Grenouillet, G.: Modelling stream fish species
distribution in a river network: the relative effects of temperature versus
physical factors, Ecol. Freshw. Fish, 17, 244–257,
https://doi.org/10.1111/j.1600-0633.2007.00276.x, 2008. a
Bustillo, V., Moatar, F., Ducharne, A., Thiéry, D., and Poirel, A.: A
multimodel comparison for assessing water temperatures under changing climate
conditions via the equilibrium temperature concept: case study of the Middle
Loire River, France, Hydrol. Process., 28, 1507–1524,
https://doi.org/10.1002/hyp.9683, 2014. a, b
Caissie, D., Satish, M. G., and El-Jabi, N.: Predicting water temperatures
using a deterministic model: Application on Miramichi River catchments (New
Brunswick, Canada), J. Hydrol., 336, 303–315,
https://doi.org/10.1016/j.jhydrol.2007.01.008, 2007. a
Chandesris, A., Van Looy, K., Diamond, J. S., and Souchon, Y.: Small dams alter thermal regimes of downstream water, Hydrol. Earth Syst. Sci., 23, 4509–4525, https://doi.org/10.5194/hess-23-4509-2019, 2019. a
Cheng, Y., Voisin, N., Yearsley, J. R., and Nijssen, B.: Reservoirs modify
river thermal regime sensitivity to climate change: a case study in the
southeastern United States, Water Resour. Res., 56, e2019WR025784,
https://doi.org/10.1029/2019WR025784, 2020. a, b
Comte, L., Buisson, L., Daufresne, M., and Grenouillet, G.: Climate-induced
changes in the distribution of freshwater fish: observed and predicted
trends, Freshwater Biol., 58, 625–639, https://doi.org/10.1111/fwb.12081, 2013. a
Dan Moore, R., Spittlehouse, D., and Story, A.: Riparian microclimate and
stream temperature response to forest harvesting: A review,
J. Am. Water Resour. As., 41, 813–834,
https://doi.org/10.1111/j.1752-1688.2005.tb03772.x, 2005. a, b
Domisch, S., Araújo, M. B., Bonada, N., Pauls, S. U., Jähnig, S. C.,
and Haase, P.: Modelling distribution in European stream macroinvertebrates
under future climates, Glob. Change Biol., 19, 752–762,
https://doi.org/10.1111/gcb.12107, 2013. a
Ducharne, A.: Importance of stream temperature to climate change impact on water quality, Hydrol. Earth Syst. Sci., 12, 797–810, https://doi.org/10.5194/hess-12-797-2008, 2008. a
Ducharne, A., Sauquet, E., Habets, F., Deque, M., Gascoin, S., Hachour, A., Martin, E., Oudin, L., Page, C., Terray, L., and Thiery, D.: Evolution
potentielle du régime des crues de la Seine sous changement climatique,
La Houille Blanche, 97, 51–57, https://doi.org/10.1051/lhb/2011006,
2011. a
Dugdale, S. J., Hannah, D. M., and Malcolm, I. A.: River temperature modelling:
A review of process-based approaches and future directions,
Earth-Sci. Rev., 175, 97–113, https://doi.org/10.1016/j.earscirev.2017.10.009, 2017. a, b
Dugdale, S. J., Malcolm, I. A., Kantola, K., and Hannah, D. M.: Stream
temperature under contrasting riparian forest cover: Understanding thermal
dynamics and heat exchange processes, Sci. Total Environ., 610,
1375–1389, https://doi.org/10.1016/j.scitotenv.2017.08.198, 2018. a
Edmonds, R., Murray, G., and Marra, J.: Influence of partial harvesting on
stream temperatures, chemistry, and turbidity in forests on the western
Olympic Peninsula, Washington, WSU Press, 74, 151–164,
http://hdl.handle.net/2376/1065 (last access: 5 April 2021), 2000. a
Floury, M., Usseglio-Polatera, P., Ferreol, M., Delattre, C., and Souchon, Y.:
Global climate change in large E uropean rivers: long-term effects on
macroinvertebrate communities and potential local confounding factors, Glob. Change Biol., 19, 1085–1099, https://doi.org/10.1111/gcb.12124, 2013. a
Giuntoli, I., Renard, B., Vidal, J.-P., and Bard, A.: Low flows in France and
their relationship to large-scale climate indices, J. Hydrol., 482,
105–118, https://doi.org/10.1016/j.jhydrol.2012.12.038, 2013. a, b, c, d
Habets, F., Boé, J., Déqué, M., Ducharne, A., Gascoin, S., Hachour, A., Martin, E., Pagé, C., Sauquet, E., Terray, L., and Thiéry, D.: Impact of
climate change on the hydrogeology of two basins in northern France, Climatic Change, 121, 771–785, https://doi.org/10.1007/s10584-013-0934-x, 2013. a, b
Hannah, D. M. and Garner, G.: River water temperature in the United Kingdom:
changes over the 20th century and possible changes over the 21st century,
Prog. Phys. Geog., 39, 68–92, https://doi.org/10.1177/0309133314550669, 2015. a
Hannah, D. M., Malcolm, I. A., Soulsby, C., and Youngson, A. F.: Heat exchanges
and temperatures within a salmon spawning stream in the Cairngorms, Scotland:
seasonal and sub-seasonal dynamics, River Res. Appl., 20,
635–652, https://doi.org/10.1002/rra.771, 2004. a
Hari, R. E., Livingstone, D. M., Siber, R., Burkhardt-Holm, P., and Guettinger,
H.: Consequences of climatic change for water temperature and brown trout
populations in Alpine rivers and streams, Glob. Change Biol., 12, 10–26,
https://doi.org/10.1111/j.1365-2486.2005.001051.x, 2006. a
Hobeichi, S., Abramowitz, G., and Evans, J. P.: Robust historical evapotranspiration trends across climate regimes, Hydrol. Earth Syst. Sci., 25, 3855–3874, https://doi.org/10.5194/hess-25-3855-2021, 2021. a
Huntington, T. G.: Evidence for intensification of the global water cycle:
review and synthesis, J. Hydrol., 319, 83–95,
https://doi.org/10.1016/j.jhydrol.2005.07.003, 2006. a
Hutchison, B. A. and Matt, D. R.: The distribution of solar radiation within a
deciduous forest, Ecol. Monogr., 47, 185–207, https://doi.org/10.2307/1942616,
1977. a
Institut Géographique National (IGN): Descriptif technique BD TOPO, Tech. rep., https://www.cc-saulnois.fr/sig/documents/BDTOPO/DC_BDTOPO_2.pdf (last access: 5 April 2020), 2008. a
Institut Géographique National (IGN): Descriptif technique BD ALTI, Tech. rep., https://geoservices.ign.fr/ressources_documentaires/Espace_documentaire/MODELES_3D/BDALTIV2/DC_BDALTI_2-0.pdf (last access: 5 April 2020), 2011. a
Isaak, D., Wollrab, S., Horan, D., and Chandler, G.: Climate change effects on
stream and river temperatures across the northwest US from 1980–2009 and
implications for salmonid fishes, Climatic Change, 113, 499–524,
https://doi.org/10.1007/s10584-011-0326-z, 2012. a, b
Isaak, D. J., Wenger, S. J., Peterson, E. E., Ver Hoef, J. M., Nagel, D. E., Luce, C. H., Hostetler, S. W., Dunham, J. B., Roper, B. B., Wollrab, S. P., and Chandler, G. L.: The NorWeST summer stream temperature model and scenarios for the
western US: A crowd-sourced database and new geospatial tools foster a user
community and predict broad climate warming of rivers and streams, Water Resour. Res., 53, 9181–9205, https://doi.org/10.1002/2017WR020969, 2017. a
Jackson, F., Hannah, D. M., Fryer, R., Millar, C., and Malcolm, I.: Development
of spatial regression models for predicting summer river temperatures from
landscape characteristics: Implications for land and fisheries management,
Hydrol. Process, 31, 1225–1238, https://doi.org/10.1002/hyp.11087, 2017. a
Jackson, F. L., Fryer, R. J., Hannah, D. M., Millar, C. P., and Malcolm, I. A.:
A spatio-temporal statistical model of maximum daily river temperatures to
inform the management of Scotland's Atlantic salmon rivers under climate
change, Sci. Total Environ., 612, 1543–1558,
https://doi.org/10.1016/j.scitotenv.2017.09.010, 2018. a
Johnson, S. L.: Factors influencing stream temperatures in small streams:
substrate effects and a shading experiment,
Can. J. Fish. Aquat. Sci., 61, 913–923, https://doi.org/10.1139/f04-040, 2004. a
Kaushal, S. S., Likens, G. E., Jaworski, N. A., Pace, M. L., Sides, A. M.,
Seekell, D., Belt, K. T., Secor, D. H., and Wingate, R. L.: Rising stream and
river temperatures in the United States,
Front. Ecol. Environ., 8, 461–466, https://doi.org/10.1890/090037, 2010. a, b, c
Kędra, M.: Regional response to global warming: Water temperature trends
in semi-natural mountain river systems, Water, 12, 283,
https://doi.org/10.3390/w12010283, 2020. a, b
Kelleher, C., Wagener, T., Gooseff, M., McGlynn, B., McGuire, K., and Marshall,
L.: Investigating controls on the thermal sensitivity of Pennsylvania
streams, Hydrol. Process., 26, 771–785, https://doi.org/10.1002/hyp.8186, 2012. a, b
Kirk, M. A. and Rahel, F. J.: Air temperatures over-predict changes to stream
fish assemblages with climate warming compared with water temperatures,
Ecological Applications, 32, e02465, https://doi.org/10.1002/eap.2465, 2022. a
Kurylyk, B. L., Bourque, C. P.-A., and MacQuarrie, K. T. B.: Potential surface temperature and shallow groundwater temperature response to climate change: an example from a small forested catchment in east-central New Brunswick (Canada), Hydrol. Earth Syst. Sci., 17, 2701–2716, https://doi.org/10.5194/hess-17-2701-2013, 2013. a
Kurylyk, B. L., MacQuarrie, K. T., and Voss, C. I.: Climate change impacts on
the temperature and magnitude of groundwater discharge from shallow,
unconfined aquifers, Water Resour. Res., 50, 3253–3274,
https://doi.org/10.1002/2013WR014588, 2014. a, b
Lennox, R. J., Crook, D. A., Moyle, P. B., Struthers, D. P., and Cooke, S. J.:
Toward a better understanding of freshwater fish responses to an increasingly
drought-stricken world, Rev. Fish Biol. Fisher., 29, 71–92,
https://doi.org/10.1007/s11160-018-09545-9, 2019. a
Li, G., Jackson, C. R., and Kraseski, K. A.: Modeled riparian stream shading:
Agreement with field measurements and sensitivity to riparian conditions,
J. Hydrol., 428, 142–151, https://doi.org/10.1016/j.jhydrol.2012.01.032,
2012. a
Maire, A., Thierry, E., Viechtbauer, W., and Daufresne, M.: Poleward shift in
large-river fish communities detected with a novel meta-analysis framework,
Freshwater Biol., 64, 1143–1156, https://doi.org/10.1111/fwb.13291, 2019. a, b, c
Majdi, N., Uthoff, J., Traunspurger, W., Laffaille, P., and Maire, A.: Effect
of water warming on the structure of biofilm-dwelling communities, Ecol. Indic., 117, 106622, https://doi.org/10.1016/j.ecolind.2020.106622, 2020. a
Mann, H. B.: Nonparametric tests against trend, Econometrica, 13, 245–259, https://doi.org/10.2307/1907187, 1945. a
Mantua, N., Tohver, I., and Hamlet, A.: Climate change impacts on streamflow
extremes and summertime stream temperature and their possible consequences
for freshwater salmon habitat in Washington State, Climatic Change, 102,
187–223, https://doi.org/10.1007/s10584-010-9845-2, 2010. a, b
Mayer, T. D.: Controls of summer stream temperature in the Pacific Northwest,
J. Hydrol., 475, 323–335, https://doi.org/10.1016/j.jhydrol.2012.10.012,
2012. a
McCann, E. L., Johnson, N. S., and Pangle, K. L.: Corresponding long-term
shifts in stream temperature and invasive fish migration,
Can. J. Fish. Aquat. Sci., 75, 772–778, https://doi.org/10.1139/cjfas-2017-0195,
2018. a
Meisner, J. D.: Potential loss of thermal habitat for brook trout, due to
climatic warming, in two southern Ontario streams,
T. Am. Fish. Soc., 119, 282–291,
https://doi.org/10.1577/1548-8659(1990)119<0282:PLOTHF>2.3.CO;2, 1990. a
Mohseni, O., Erickson, T. R., and Stefan, H. G.: Sensitivity of stream
temperatures in the United States to air temperatures projected under a
global warming scenario, Water Resour. Res., 35, 3723–3733,
https://doi.org/10.1029/1999WR900193, 1999. a
Morales-Marín, L., Rokaya, P., Sanyal, P., Sereda, J., and Lindenschmidt,
K.: Changes in streamflow and water temperature affect fish habitat in the
Athabasca River basin in the context of climate change,
Ecol. Model.,
407, 108718, https://doi.org/10.1016/j.ecolmodel.2019.108718, 2019. a
Morel, M., Booker, D. J., Gob, F., and Lamouroux, N.: Intercontinental
predictions of river hydraulic geometry from catchment physical
characteristics, J. Hydrol., 582, 124292,
https://doi.org/10.1016/j.jhydrol.2019.124292, 2020. a, b
Nelson, K. C. and Palmer, M. A.: Stream temperature surges under urbanization
and climate change: data, models, and responses 1, J. Am. Water Resour. As., 43, 440–452,
https://doi.org/10.1111/j.1752-1688.2007.00034.x, 2007. a
Niedrist, G. H. and Füreder, L.: Real-time warming of alpine streams: (Re)defining invertebrates' temperature preferences, River Res. Appl., 37, 283–293, https://doi.org/10.1002/rra.3638, 2021. a
O'Gorman, E. J., Pichler, D. E., Adams, G., Benstead, J. P., Cohen, H., Craig, N., Cross, W. F., Demars, B. O., Friberg, N., Gislason, G. M., and Gudmundsdottir, R.:
Impacts of warming on the structure and functioning of aquatic communities:
individual-to ecosystem-level responses,
Adv. Ecol. Res., 47,
81–176, https://doi.org/10.1016/B978-0-12-398315-2.00002-8, 2012. a
Olden, J. D. and Naiman, R. J.: Incorporating thermal regimes into
environmental flows assessments: modifying dam operations to restore
freshwater ecosystem integrity, Freshwater Biol., 55, 86–107,
https://doi.org/10.1111/j.1365-2427.2009.02179.x, 2010. a
Orr, H. G., Simpson, G. L., des Clers, S., Watts, G., Hughes, M., Hannaford, J., Dunbar, M. J., Laizé, C. L., Wilby, R. L., Battarbee, R. W., and Evans, R.:
Detecting changing river temperatures in England and Wales, Hydrol. Process., 29, 752–766, https://doi.org/10.1002/hyp.10181, 2015. a, b, c
Palmer, M. A., Lettenmaier, D. P., Poff, N. L., Postel, S. L., Richter, B., and
Warner, R.: Climate change and river ecosystems: protection and adaptation
options, Environ. Manage., 44, 1053–1068,
https://doi.org/10.1007/s00267-009-9329-1, 2009. a
Pella, H., Lejot, J., Lamouroux, N., and Snelder, T.: Le réseau
hydrographique théorique (RHT) français et ses attributs
environnementaux, Géomorphologie: relief, processus, environnement, 18,
317–336, https://doi.org/10.4000/geomorphologie.9933, 2012. a
Perry, L. G., Reynolds, L. V., Beechie, T. J., Collins, M. J., and Shafroth,
P. B.: Incorporating climate change projections into riparian restoration
planning and design, Ecohydrology, 8, 863–879, https://doi.org/10.1002/eco.1645, 2015. a, b
Pettitt, A. N.: A non-parametric approach to the change-point problem,
Applied Statistics, 28, 126–135, https://doi.org/10.2307/2346729, 1979. a
Poole, G. C. and Berman, C. H.: An ecological perspective on in-stream
temperature: natural heat dynamics and mechanisms of human-caused thermal
degradation, Environ. Manage., 27, 787–802,
https://doi.org/10.1007/s002670010188, 2001. a
Prudhomme, C., Giuntoli, I., Robinson, E. L., Clark, D. B., Arnell, N. W., Dankers, R., Fekete, B. M., Franssen, W., Gerten, D., Gosling, S. N., and Hagemann, S.:
Hydrological droughts in the 21st century, hotspots and uncertainties from a global multimodel ensemble experiment,
P. Ntl. A. Sci. USA, 111, 3262–3267, https://doi.org/10.1073/pnas.1222473110, 2014. a
Ptak, M., Choiński, A., and Kirviel, J.: Long-term water temperature
fluctuations in coastal rivers (southern Baltic) in Poland,
Bulletin of Geography: Physical Geography Series, 11, 35–42,
https://doi.org/10.1515/bgeo-2016-0013, 2016. a
Ptak, M., Sojka, M., Kałuża, T., Choiński, A., and Nowak, B.:
Long-term water temperature trends of the Warta River in the years
1960–2009, Ecohydrology and Hydrobiology, 19, 441–451,
https://doi.org/10.1016/j.ecohyd.2019.03.007, 2019a. a
Ptak, M., Sojka, M., and Kozłowski, M.: The increasing of maximum lake water
temperature in lowland lakes of Central Europe: case study of the Polish
Lakeland, in: Annales de Limnologie [International Journal of Limnology],
55, 6, EDP Sciences, https://doi.org/10.1051/limn/2019005, 2019b. a
Quintana-Segui, P., Le Moigne, P., Durand, Y., Martin, E., Habets, F., Baillon,
M., Canellas, C., Franchisteguy, L., and Morel, S.: Analysis of near-surface
atmospheric variables: Validation of the SAFRAN analysis over France, J. Appl. Meteorol. Clim., 47, 92–107,
https://doi.org/10.1175/2007JAMC1636.1, 2008. a, b
Romaní, A. M., Boulêtreau, S., Diaz Villanueva, V., Garabetian, F., Marxsen, J., Norf, H., Pohlon, E., and Weitere, M.: Microbes in aquatic
biofilms under the effect of changing climate.,
Climate change and microbial ecology: Current research and future trends, 83–96, https://ri.conicet.gov.ar/handle/11336/109695 (last access: 11 May 2022), 2016. a
Sanchez-Lorenzo, A., Wild, M., Brunetti, M., Guijarro, J. A., Hakuba, M. Z.,
Calbó, J., Mystakidis, S., and Bartok, B.: Reassessment and update of
long-term trends in downward surface shortwave radiation over Europe
(1939–2012), J. Geophys. Res.-Atmos., 120, 9555–9569,
https://doi.org/10.1002/2015JD023321, 2015. a
Scheffers, B. R., De Meester, L., Bridge, T. C., Hoffmann, A. A., Pandolfi, J. M., Corlett, R. T., Butchart, S. H., Pearce-Kelly, P., Kovacs, K. M., Dudgeon, D., and Pacifici, M.: The broad footprint of climate change from genes to
biomes to people, Science, 354, 6313, https://doi.org/10.1126/science.aaf7671, 2016. a
Seavy, N. E., Gardali, T., Golet, G. H., Griggs, F. T., Howell, C. A., Kelsey,
R., Small, S. L., Viers, J. H., and Weigand, J. F.: Why climate change makes
riparian restoration more important than ever: recommendations for practice
and research, Ecological Restoration, 27, 330–338,
https://doi.org/10.3368/er.27.3.330, 2009. a
Sen, P. K.: Estimates of the regression coefficient based on Kendall's tau,
J. Am. Stat. Assoc., 63, 1379–1389,
https://doi.org/10.1080/01621459.1968.10480934, 1968. a
Seyedhashemi, H., Moatar, F., Vidal, J.-P., Diamond, J. S., Beaufort, A.,
Chandesris, A., and Valette, L.: Thermal signatures identify the influence of
dams and ponds on stream temperature at the regional scale, Sci. Total Environ., 766, 142667, https://doi.org/10.1016/j.scitotenv.2020.142667, 2020. a, b, c
Seyedhashemi, H., Vidal, J.-P., Moatar, F., and Thiéry, D.: Replication Data for: Regional, multi-decadal analysis reveals that stream temperature increases faster than air temperature (https://doi.org/10.5194/hess-2021-450), Portail Data INRAE [data set], https://doi.org/10.15454/PTY9R7, 2022. a
Sinokrot, B., Stefan, H., McCormick, J., and Eaton, J.: Modeling of climate
change effects on stream temperatures and fish habitats below dams and near
groundwater inputs, Climatic Change, 30, 181–200, https://doi.org/10.1007/BF01091841,
1995. a
Spinoni, J., Naumann, G., and Vogt, J. V.: Pan-European seasonal trends and
recent changes of drought frequency and severity,
Global Planet. Change, 148, 113–130, https://doi.org/10.1016/j.gloplacha.2016.11.013, 2017. a
Stefan, H. G. and Preud'homme, E. B.: Stream temperature estimation from air
temperature 1, J. Am. Water Resour. As., 29,
27–45, https://doi.org/10.1111/j.1752-1688.1993.tb01502.x, 1993. a
Stefani, F., Schiavon, A., Tirozzi, P., Gomarasca, S., and Marziali, L.:
Functional response of fish communities in a multistressed freshwater world,
Sci. Total Environ., 740, 139902,
https://doi.org/10.1016/j.scitotenv.2020.139902, 2020. a
Taylor, C. A. and Stefan, H. G.: Shallow groundwater temperature response to
climate change and urbanization, J. Hydrol., 375, 601–612,
https://doi.org/10.1016/j.jhydrol.2009.07.009, 2009. a
Thiéry, D.: Forecast of changes in piezometric levels by a lumped
hydrological model, J. Hydrol., 97, 129–148,
https://doi.org/10.1016/0022-1694(88)90070-4, 1988. a, b, c
Thiéry, D. and Moutzopoulos, C.: Un modèle hydrologique spatialisé
pour la simulation de très grands bassins: le modèle EROS formé
de grappes de modèles globaux élémentaires, VIIIèmes
journées hydrologiques de l'ORSTOM” Régionalisation en hydrologie,
application au développement”, edited by: Le Barbé and Servat, E.,
285–295, https://hal-brgm.archives-ouvertes.fr/hal-01061971 (last acccess: 4 May 2020), 1995. a, b, c
Tisseuil, C., Vrac, M., Grenouillet, G., Wade, A. J., Gevrey, M., Oberdorff,
T., Grodwohl, J.-B., and Lek, S.: Strengthening the link between climate,
hydrological and species distribution modeling to assess the impacts of
climate change on freshwater biodiversity, Sci. Total Environ.,
424, 193–201, https://doi.org/10.1016/j.scitotenv.2012.02.035, 2012. a
Tramblay, Y., Koutroulis, A., Samaniego, L., Vicente-Serrano, S. M., Volaire,
F., Boone, A., Le Page, M., Llasat, M. C., Albergel, C., Burak, S.,
Cailleret, M., Cindrić Kalin, K., Davi, H., Dupuy, J.-L., Greve, P.,
Grillakis, M., Hanich, L., Jarlan, L., Martin-StPaul, N., Martínez-Vilalta,
J., Mouillot, F., Pulido-Velazquez, D., Quintana-Seguí, P., Renard, D.,
Turco, M., Türkeş, M., Trigo, R., Vidal, J.-P., Vilagrosa, A., Zribi,
M., and Polcher, J.: Challenges for drought assessment in the Mediterranean
region under future climate scenarios, Earth-Sci. Rev., 210, 103348,
https://doi.org/10.1016/j.earscirev.2020.103348, 2020. a
Valette, L., Piffady, J., Chandesris, A., and Souchon, Y.: SYRAH-CE:
description des données et modélisation du risque d’altération
hydromorphologique des cours d’eau pour l’état des lieux DCE, Rapport
Technique Onema-Irstea, 104 pp.,
http://oai.afbiodiversite.fr/cindocoai/download/PUBLI/1185/1/2012_108.pdf_4080Ko (last acccess: 12 May 2020),
2012. a, b
van Looy, K. and Tormos, T.: Indicateurs spatialisés du fonctionnement des
corridors rivulaires, Tech. rep., Irstea, 37 pp.,
https://hal.inrae.fr/hal-02599341 (last acccess: 12 May 2020), 2013. a
Van Vliet, M., Ludwig, F., Zwolsman, J., Weedon, G., and Kabat, P.: Global
river temperatures and sensitivity to atmospheric warming and changes in
river flow, Water Resour. Res., 47, 2, https://doi.org/10.1029/2010WR009198, 2011. a, b
van Vliet, M. T., Franssen, W. H., Yearsley, J. R., Ludwig, F., Haddeland, I.,
Lettenmaier, D. P., and Kabat, P.: Global river discharge and water
temperature under climate change, Global Environ. Chang., 23, 450–464,
https://doi.org/10.1016/j.gloenvcha.2012.11.002, 2013. a
Vicente-Serrano, S., Hannaford, J., Murphy, C., Peña Gallardo, M.,
Lorenzo-Lacruz, J., Domínguez-Castro, F., López Moreno, J. I.,
Beguería, S., Noguear, I., Harrigan, S., and Vidal, J.-P.: Climate,
irrigation, and land-cover change explain streamflow trends in countries
bordering the Northeast Atlantic, Geophys. Res. Lett., 46,
10821–10833, https://doi.org/10.1029/2019GL084084, 2019. a
Vidal, J.-P., Martin, E., Franchistéguy, L., Baillon, M., and Soubeyroux,
J.-M.: A 50-year high-resolution atmospheric reanalysis over France with the
Safran system, Int. J. Climatol., 30, 1627–1644,
https://doi.org/10.1002/joc.2003, 2010. a, b, c, d
Vidal, J.-P., Hingray, B., Magand, C., Sauquet, E., and Ducharne, A.: Hierarchy of climate and hydrological uncertainties in transient low-flow projections, Hydrol. Earth Syst. Sci., 20, 3651–3672, https://doi.org/10.5194/hess-20-3651-2016, 2016.
a
Wasson, J.-G., Chandesris, A., Pella, H., and Blanc, L.: Typology and reference
conditions for surface water bodies in France: the hydro-ecoregion approach,
TemaNord, 566, 37–41,
https://hal.archives-ouvertes.fr/hal-00475620/document (last access: 10 November 2021), 2002. a
Webb, B.: Trends in stream and river temperature, Hydrol. Process, 10,
205–226,
https://doi.org/10.1002/(SICI)1099-1085(199602)10:2<205::AID-HYP358>3.0.CO;2-1, 1996. a
Webb, B. and Walling, D.: Long-term variability in the thermal impact of river
impoundment and regulation, Appl. Geogr., 16, 211–223,
https://doi.org/10.1016/0143-6228(96)00007-0, 1996. a, b
Webb, B. and Walling, D.: Complex summer water temperature behaviour below a UK
regulating reservoir, Regul. River, 13, 463–477,
https://doi.org/10.1002/(SICI)1099-1646(199709/10)13:5<463::AID-RRR470>3.0.CO;2-1,
1997. a
Webb, B. W., Hannah, D. M., Moore, D. R., Brown, L. E., and Nobilis, F.: Recent
advances in stream and river temperature research, Hydrol. Process., 22, 902–918, https://doi.org/10.1002/hyp.6994, 2008. a, b, c
Wilby, R. and Johnson, M.: Climate variability and implications for keeping
rivers cool in England, Climate Risk Management, 30, 100259,
https://doi.org/10.1016/j.crm.2020.100259, 2020. a, b
Wondzell, S. M., Diabat, M., and Haggerty, R.: What matters most: are future
stream temperatures more sensitive to changing air temperatures, discharge,
or riparian vegetation?, J. Am. Water Resour. As., 55, 116–132, https://doi.org/10.1111/1752-1688.12707, 2019. a
Woodward, G., Perkins, D. M., and Brown, L. E.: Climate change and freshwater
ecosystems: impacts across multiple levels of organization,
Philos. T. R. Soc. B., 365, 2093–2106,
https://doi.org/10.1098/rstb.2010.0055, 2010. a
Yearsley, J. R.: A semi-Lagrangian water temperature model for
advection-dominated river systems, Water Resour. Res., 45, 12,
https://doi.org/10.1029/2008WR007629, 2009. a
Zaidel, P. A., Roy, A. H., Houle, K. M., Lambert, B., Letcher, B. H., Nislow,
K. H., and Smith, C.: Impacts of small dams on stream temperature, Ecol. Indic., 120, 106878, https://doi.org/10.1016/j.ecolind.2020.106878, 2020. a
Zhu, S., Bonacci, O., Oskoruš, D., Hadzima-Nyarko, M., and Wu, S.: Long
term variations of river temperature and the influence of air temperature and
river discharge: case study of Kupa River watershed in Croatia,
J. Hydrol. Hydromech., 67, 305–313, https://doi.org/10.2478/johh-2019-0019,
2019. a
Zobrist, J., Schoenenberger, U., Figura, S., and Hug, S. J.: Long-term trends
in Swiss rivers sampled continuously over 39 years reflect changes in
geochemical processes and pollution,
Environ. Sci. Pollut. R., 25, 16788–16809, https://doi.org/10.1007/s11356-018-1679-x, 2018. a, b
Short summary
Stream temperature appears to be increasing globally, but its rate remains poorly constrained due to a paucity of long-term data. Using a thermal model, this study provides a large-scale understanding of the evolution of stream temperature over a long period (1963–2019). This research highlights that air temperature and streamflow can exert joint influence on stream temperature trends, and riparian shading in small mountainous streams may mitigate warming in stream temperatures.
Stream temperature appears to be increasing globally, but its rate remains poorly constrained...
