Articles | Volume 383
https://doi.org/10.5194/piahs-383-141-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-383-141-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Post-conference publication
| 
16 Sep 2020
Post-conference publication |
| 16 Sep 2020
| 16 Sep 2020
Understanding and predicting large-scale hydrological variability in a changing environment
Nicolas Massei
CORRESPONDING AUTHOR
Normandie Univ, UNIROUEN, UNICAEN, CNRS, M2C, 76000 Rouen, France
Daniel G. Kingston
Department of Geography, University of Otago, Dunedin, New Zealand
David M. Hannah
School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
Jean-Philippe Vidal
INRAE, UR RiverLy, Centre de Lyon-Grenoble, 69625 Villeurbanne, France
Bastien Dieppois
School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
Centre for Agroecology, Water and Resilience (CAWR), Coventry
University, Ryton-on-Dunsmore, Coventry, CV8 3LG, UK
Department of Oceanography, University of Cape Town, Private Bag X3, Rondebosch, 7701, Republic of South Africa
Manuel Fossa
Normandie Univ, UNIROUEN, UNICAEN, CNRS, M2C, 76000 Rouen, France
Andreas Hartmann
Chair of Hydrological Modeling and Water Resources, Freiburg University, Freiburg, Germany
David A. Lavers
European Centre for Medium-Range Weather Forecasts (ECMWF), Shinfield Park, Reading, RG2 9AX, UK
Benoit Laignel
Normandie Univ, UNIROUEN, UNICAEN, CNRS, M2C, 76000 Rouen, France
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Mariana Gomez, Maximilian Nölscher, Andreas Hartmann, and Stefan Broda
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Riccardo Biella, Ansastasiya Shyrokaya, Monica Ionita, Raffaele Vignola, Samuel Sutanto, Andrijana Todorovic, Claudia Teutschbein, Daniela Cid, Maria Carmen Llasat, Pedro Alencar, Alessia Matanó, Elena Ridolfi, Benedetta Moccia, Ilias Pechlivanidis, Anne van Loon, Doris Wendt, Elin Stenfors, Fabio Russo, Jean-Philippe Vidal, Lucy Barker, Mariana Madruga de Brito, Marleen Lam, Monika Bláhová, Patricia Trambauer, Raed Hamed, Scott J. McGrane, Serena Ceola, Sigrid Jørgensen Bakke, Svitlana Krakovska, Viorica Nagavciuc, Faranak Tootoonchi, Giuliano Di Baldassarre, Sandra Hauswirth, Shreedhar Maskey, Svitlana Zubkovych, Marthe Wens, and Lena Merete Tallaksen
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Alexandre Devers, Jean-Philippe Vidal, Claire Lauvernet, Olivier Vannier, and Laurie Caillouet
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Marc Auriol Amalaman, Gil Mahé, Béh Ibrahim Diomande, Armand Zamblé Tra Bi, Nathalie Rouché, Zeineddine Nouaceur, and Benoit Laignel
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Danny Croghan, Pertti Ala-Aho, Jeffrey Welker, Kaisa-Riikka Mustonen, Kieran Khamis, David M. Hannah, Jussi Vuorenmaa, Bjørn Kløve, and Hannu Marttila
Hydrol. Earth Syst. Sci., 28, 1055–1070, https://doi.org/10.5194/hess-28-1055-2024, https://doi.org/10.5194/hess-28-1055-2024, 2024
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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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Laurent Strohmenger, Eric Sauquet, Claire Bernard, Jérémie Bonneau, Flora Branger, Amélie Bresson, Pierre Brigode, Rémy Buzier, Olivier Delaigue, Alexandre Devers, Guillaume Evin, Maïté Fournier, Shu-Chen Hsu, Sandra Lanini, Alban de Lavenne, Thibault Lemaitre-Basset, Claire Magand, Guilherme Mendoza Guimarães, Max Mentha, Simon Munier, Charles Perrin, Tristan Podechard, Léo Rouchy, Malak Sadki, Myriam Soutif-Bellenger, François Tilmant, Yves Tramblay, Anne-Lise Véron, Jean-Philippe Vidal, and Guillaume Thirel
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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Hanieh Seyedhashemi, Florentina Moatar, Jean-Philippe Vidal, and Dominique Thiéry
Earth Syst. Sci. Data, 15, 2827–2839, https://doi.org/10.5194/essd-15-2827-2023, https://doi.org/10.5194/essd-15-2827-2023, 2023
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This paper presents a past and future dataset of daily time series of discharge and stream temperature for 52 278 reaches over the Loire River basin (100 000 km2) in France, using thermal and hydrological models. Past data are provided over 1963–2019. Future data are available over the 1976–2100 period under different future climate change models (warm and wet, intermediate, and hot and dry) and scenarios (optimistic, intermediate, and pessimistic).
Andreas Hartmann, Jean-Lionel Payeur-Poirier, and Luisa Hopp
Hydrol. Earth Syst. Sci., 27, 1325–1341, https://doi.org/10.5194/hess-27-1325-2023, https://doi.org/10.5194/hess-27-1325-2023, 2023
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We advance our understanding of including information derived from environmental tracers into hydrological modeling. We present a simple approach that integrates streamflow observations and tracer-derived streamflow contributions for model parameter estimation. We consider multiple observed streamflow components and their variation over time to quantify the impact of their inclusion for streamflow prediction at the catchment scale.
Alexandre Devers, Jean-Philippe Vidal, Claire Lauvernet, Olivier Vannier, and Laurie Caillouet
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-78, https://doi.org/10.5194/hess-2023-78, 2023
Publication in HESS not foreseen
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The recent development of the a new meteorological dataset providing precipitation and temperature over France – FYRE Climate – has been transformed to streamflow time series over 1871–2012 through the used of a hydrological model. This led to the creation of the daily hydrological reconstructions called HyDRE and HyDRE. These two reconstructions are evaluated allow to better understand the variability of past hydrology over France.
Tahmina Yasmin, Kieran Khamis, Anthony Ross, Subir Sen, Anita Sharma, Debashish Sen, Sumit Sen, Wouter Buytaert, and David M. Hannah
Nat. Hazards Earth Syst. Sci., 23, 667–674, https://doi.org/10.5194/nhess-23-667-2023, https://doi.org/10.5194/nhess-23-667-2023, 2023
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Floods continue to be a wicked problem that require developing early warning systems with plausible assumptions of risk behaviour, with more targeted conversations with the community at risk. Through this paper we advocate the use of a SMART approach to encourage bottom-up initiatives to develop inclusive and purposeful early warning systems that benefit the community at risk by engaging them at every step of the way along with including other stakeholders at multiple scales of operations.
Romane Berthelin, Tunde Olarinoye, Michael Rinderer, Matías Mudarra, Dominic Demand, Mirjam Scheller, and Andreas Hartmann
Hydrol. Earth Syst. Sci., 27, 385–400, https://doi.org/10.5194/hess-27-385-2023, https://doi.org/10.5194/hess-27-385-2023, 2023
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Karstic recharge processes have mainly been explored using discharge analysis despite the high influence of the heterogeneous surface on hydrological processes. In this paper, we introduce an event-based method which allows for recharge estimation from soil moisture measurements. The method was tested at a karst catchment in Germany but can be applied to other karst areas with precipitation and soil moisture data available. It will allow for a better characterization of karst recharge processes.
Eva Sebok, Hans Jørgen Henriksen, Ernesto Pastén-Zapata, Peter Berg, Guillaume Thirel, Anthony Lemoine, Andrea Lira-Loarca, Christiana Photiadou, Rafael Pimentel, Paul Royer-Gaspard, Erik Kjellström, Jens Hesselbjerg Christensen, Jean Philippe Vidal, Philippe Lucas-Picher, Markus G. Donat, Giovanni Besio, María José Polo, Simon Stisen, Yvan Caballero, Ilias G. Pechlivanidis, Lars Troldborg, and Jens Christian Refsgaard
Hydrol. Earth Syst. Sci., 26, 5605–5625, https://doi.org/10.5194/hess-26-5605-2022, https://doi.org/10.5194/hess-26-5605-2022, 2022
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Hydrological models projecting the impact of changing climate carry a lot of uncertainty. Thus, these models usually have a multitude of simulations using different future climate data. This study used the subjective opinion of experts to assess which climate and hydrological models are the most likely to correctly predict climate impacts, thereby easing the computational burden. The experts could select more likely hydrological models, while the climate models were deemed equally probable.
Tunde Olarinoye, Tom Gleeson, and Andreas Hartmann
Hydrol. Earth Syst. Sci., 26, 5431–5447, https://doi.org/10.5194/hess-26-5431-2022, https://doi.org/10.5194/hess-26-5431-2022, 2022
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Analysis of karst spring recession is essential for management of groundwater. In karst, recession is dominated by slow and fast components; separating these components is by manual and subjective approaches. In our study, we tested the applicability of automated streamflow recession extraction procedures for a karst spring. Results showed that, by simple modification, streamflow extraction methods can identify slow and fast components: derived recession parameters are within reasonable ranges.
Yan Liu, Jaime Fernández-Ortega, Matías Mudarra, and Andreas Hartmann
Hydrol. Earth Syst. Sci., 26, 5341–5355, https://doi.org/10.5194/hess-26-5341-2022, https://doi.org/10.5194/hess-26-5341-2022, 2022
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We adapt the informal Kling–Gupta efficiency (KGE) with a gamma distribution to apply it as an informal likelihood function in the DiffeRential Evolution Adaptive Metropolis DREAM(ZS) method. Our adapted approach performs as well as the formal likelihood function for exploring posterior distributions of model parameters. The adapted KGE is superior to the formal likelihood function for calibrations combining multiple observations with different lengths, frequencies and units.
Veit Blauhut, Michael Stoelzle, Lauri Ahopelto, Manuela I. Brunner, Claudia Teutschbein, Doris E. Wendt, Vytautas Akstinas, Sigrid J. Bakke, Lucy J. Barker, Lenka Bartošová, Agrita Briede, Carmelo Cammalleri, Ksenija Cindrić Kalin, Lucia De Stefano, Miriam Fendeková, David C. Finger, Marijke Huysmans, Mirjana Ivanov, Jaak Jaagus, Jiří Jakubínský, Svitlana Krakovska, Gregor Laaha, Monika Lakatos, Kiril Manevski, Mathias Neumann Andersen, Nina Nikolova, Marzena Osuch, Pieter van Oel, Kalina Radeva, Renata J. Romanowicz, Elena Toth, Mirek Trnka, Marko Urošev, Julia Urquijo Reguera, Eric Sauquet, Aleksandra Stevkov, Lena M. Tallaksen, Iryna Trofimova, Anne F. Van Loon, Michelle T. H. van Vliet, Jean-Philippe Vidal, Niko Wanders, Micha Werner, Patrick Willems, and Nenad Živković
Nat. Hazards Earth Syst. Sci., 22, 2201–2217, https://doi.org/10.5194/nhess-22-2201-2022, https://doi.org/10.5194/nhess-22-2201-2022, 2022
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Recent drought events caused enormous damage in Europe. We therefore questioned the existence and effect of current drought management strategies on the actual impacts and how drought is perceived by relevant stakeholders. Over 700 participants from 28 European countries provided insights into drought hazard and impact perception and current management strategies. The study concludes with an urgent need to collectively combat drought risk via a European macro-level drought governance approach.
Lisa Baulon, Nicolas Massei, Delphine Allier, Matthieu Fournier, and Hélène Bessiere
Hydrol. Earth Syst. Sci., 26, 2829–2854, https://doi.org/10.5194/hess-26-2829-2022, https://doi.org/10.5194/hess-26-2829-2022, 2022
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Aquifers often act as low-pass filters, dampening high-frequency (intra-annual) and amplifying low-frequency (LFV, multi-annual to multidecadal) variabilities originating from climate variability. By processing groundwater level signals, we show the key role of LFV in the occurrence of groundwater extremes (GWEs). Results highlight how changes in LFV may impact future GWEs as well as the importance of correct representation of LFV in general circulation model outputs for GWE projection.
Hanieh Seyedhashemi, Jean-Philippe Vidal, Jacob S. Diamond, Dominique Thiéry, Céline Monteil, Frédéric Hendrickx, Anthony Maire, and Florentina Moatar
Hydrol. Earth Syst. Sci., 26, 2583–2603, https://doi.org/10.5194/hess-26-2583-2022, https://doi.org/10.5194/hess-26-2583-2022, 2022
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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.
Yong Chang, Benjamin Mewes, and Andreas Hartmann
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-77, https://doi.org/10.5194/hess-2022-77, 2022
Revised manuscript not accepted
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This study presents a work to investigate the feasibility of using EC to predict the discharge in a typical karst catchment. We found that the spring discharge can be well predicted by EC in storms using LSTM (Long Short Term Memory) model, while the prediction has relatively large uncertainties in small recharge events. To establish a roust LSTM model for long-term discharge prediction from EC in ungauged catchments, the random or fixed-interval discharge monitoring strategy is recommended.
Tom Gleeson, Thorsten Wagener, Petra Döll, Samuel C. Zipper, Charles West, Yoshihide Wada, Richard Taylor, Bridget Scanlon, Rafael Rosolem, Shams Rahman, Nurudeen Oshinlaja, Reed Maxwell, Min-Hui Lo, Hyungjun Kim, Mary Hill, Andreas Hartmann, Graham Fogg, James S. Famiglietti, Agnès Ducharne, Inge de Graaf, Mark Cuthbert, Laura Condon, Etienne Bresciani, and Marc F. P. Bierkens
Geosci. Model Dev., 14, 7545–7571, https://doi.org/10.5194/gmd-14-7545-2021, https://doi.org/10.5194/gmd-14-7545-2021, 2021
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Groundwater is increasingly being included in large-scale (continental to global) land surface and hydrologic simulations. However, it is challenging to evaluate these simulations because groundwater is
hiddenunderground and thus hard to measure. We suggest using multiple complementary strategies to assess the performance of a model (
model evaluation).
Edouard Patault, Valentin Landemaine, Jérôme Ledun, Arnaud Soulignac, Matthieu Fournier, Jean-François Ouvry, Olivier Cerdan, and Benoit Laignel
Hydrol. Earth Syst. Sci., 25, 6223–6238, https://doi.org/10.5194/hess-25-6223-2021, https://doi.org/10.5194/hess-25-6223-2021, 2021
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The goal of this study was to assess the sediment discharge variability at a water treatment plant (Normandy, France) according to multiple realistic land use scenarios. We developed a new cascade modelling approach and simulations suggested that coupling eco-engineering and best farming practices can significantly reduce the sediment discharge (up to 80 %).
Manuel Fossa, Bastien Dieppois, Nicolas Massei, Matthieu Fournier, Benoit Laignel, and Jean-Philippe Vidal
Hydrol. Earth Syst. Sci., 25, 5683–5702, https://doi.org/10.5194/hess-25-5683-2021, https://doi.org/10.5194/hess-25-5683-2021, 2021
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Hydro-climate observations (such as precipitation, temperature, and river discharge time series) reveal very complex behavior inherited from complex interactions among the physical processes that drive hydro-climate viability. This study shows how even small perturbations of a physical process can have large consequences on some others. Those interactions vary spatially, thus showing the importance of both temporal and spatial dimensions in better understanding hydro-climate variability.
Doris E. Wendt, John P. Bloomfield, Anne F. Van Loon, Margaret Garcia, Benedikt Heudorfer, Joshua Larsen, and David M. Hannah
Nat. Hazards Earth Syst. Sci., 21, 3113–3139, https://doi.org/10.5194/nhess-21-3113-2021, https://doi.org/10.5194/nhess-21-3113-2021, 2021
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Managing water demand and supply during droughts is complex, as highly pressured human–water systems can overuse water sources to maintain water supply. We evaluated the impact of drought policies on water resources using a socio-hydrological model. For a range of hydrogeological conditions, we found that integrated drought policies reduce baseflow and groundwater droughts most if extra surface water is imported, reducing the pressure on water resources during droughts.
Alexandre Devers, Jean-Philippe Vidal, Claire Lauvernet, and Olivier Vannier
Clim. Past, 17, 1857–1879, https://doi.org/10.5194/cp-17-1857-2021, https://doi.org/10.5194/cp-17-1857-2021, 2021
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This article presents FYRE Climate, a dataset providing daily precipitation and temperature spanning the 1871–2012 period at 8 km resolution over France. FYRE Climate has been obtained through the combination of daily and yearly observations and a gridded reconstruction already available through a statistical technique called data assimilation. Results highlight the quality of FYRE Climate in terms of both long-term variations and reproduction of extreme events.
Tesfalem Abraham, Yan Liu, Sirak Tekleab, and Andreas Hartmann
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-271, https://doi.org/10.5194/hess-2021-271, 2021
Preprint withdrawn
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In this study we demonstrate the use of global data products for the regionalization of model parameters. We combine three steps of uncertainty quantification from the parameter sampling, best parameter sets identification, and spatial cross-validation. Our results show the best validation parameters provide the most robust regionalization results, and the uncertainties from the regionalization in the ungauged catchments are higher than those obtained from simulations in the gauged catchments.
Imen Turki, Lisa Baulon, Nicolas Massei, Benoit Laignel, Stéphane Costa, Matthieu Fournier, and Olivier Maquaire
Nat. Hazards Earth Syst. Sci., 20, 3225–3243, https://doi.org/10.5194/nhess-20-3225-2020, https://doi.org/10.5194/nhess-20-3225-2020, 2020
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We examine the variability of storm surges along the English Channel coasts and their connection with the global atmospheric circulation at the interannual and interdecadal timescales using hybrid approaches combining wavelet techniques and probabilistic
generalized extreme value models. Our hypothesis is that the physical mechanisms of the atmospheric circulation change according to the timescales and their connection with the local variability improve the prediction of the extreme surges.
Doris E. Wendt, Anne F. Van Loon, John P. Bloomfield, and David M. Hannah
Hydrol. Earth Syst. Sci., 24, 4853–4868, https://doi.org/10.5194/hess-24-4853-2020, https://doi.org/10.5194/hess-24-4853-2020, 2020
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Groundwater use changes the availability of groundwater, especially during droughts. This study investigates the impact of groundwater use on groundwater droughts. A methodological framework is presented that was developed and applied to the UK. We identified an asymmetric impact of groundwater use on droughts, which highlights the relation between short-term and long-term strategies for sustainable groundwater use.
Daniel G. Kingston and Eleanor J. Treadwell
Proc. IAHS, 383, 307–314, https://doi.org/10.5194/piahs-383-307-2020, https://doi.org/10.5194/piahs-383-307-2020, 2020
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New Zealand droughts are investigated using two commonly used measures: one based on precipitation alone, and one on precipitation minus evaporation. Comparison of these two measures shows that as evaporation increases as a result of anthropogenic climate change, drought events are getting bigger. This trend is particularly apparent in the driest and hottest parts of New Zealand.
Bentje Brauns, Daniela Cuba, John P. Bloomfield, David M. Hannah, Christopher Jackson, Ben P. Marchant, Benedikt Heudorfer, Anne F. Van Loon, Hélène Bessière, Bo Thunholm, and Gerhard Schubert
Proc. IAHS, 383, 297–305, https://doi.org/10.5194/piahs-383-297-2020, https://doi.org/10.5194/piahs-383-297-2020, 2020
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In Europe, ca. 65% of drinking water is groundwater. Its replenishment depends on rainfall, but droughts may cause groundwater levels to fall below normal. These
groundwater droughtscan limit supply, making it crucial to understand their regional connection. The Groundwater Drought Initiative (GDI) assesses spatial patterns in historic—recent groundwater droughts across Europe for the first time. Using an example dataset, we describe the background to the GDI and its methodological approach.
Kerstin Stahl, Jean-Philippe Vidal, Jamie Hannaford, Erik Tijdeman, Gregor Laaha, Tobias Gauster, and Lena M. Tallaksen
Proc. IAHS, 383, 291–295, https://doi.org/10.5194/piahs-383-291-2020, https://doi.org/10.5194/piahs-383-291-2020, 2020
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Numerous indices exist for the description of hydrological drought, some are based on absolute thresholds of overall streamflows or water levels and some are based on relative anomalies with respect to the season. This article discusses paradigms and experiences with such index uses in drought monitoring and drought analysis to raise awareness of the different interpretations of drought severity.
Cited articles
Anctil, F. and Coulibaly, P.: Wavelet analysis of the interannual
variability in Southern Québec Streamflow, J. Climate, 17, 163–173, 2004.
Ault, T. R., Cole, J. E., and St. George, S.: The amplitude of decadal to
multidecadal variability in precipitation simulated by state-of-the-art
climate models, Geophys. Res. Lett., 39, L21705, https://doi.org/10.1029/2012GL053424,
2012.
Ault, T. R., Deser, C., Newman, M., and Emile-Geay, J.: Characterizing
decadal to centennial variability in the equatorial Pacific during the last
millennium, Geophys. Res. Lett., 40, 3450–3456, 2013.
Bass, A. M., Munksgaard, N. C., O'Grady, D., Williams, M. J. M., Bostock, H.
C., Rintoul, S. R., and Bird, M. I.: Continuous shipboard measurements of
oceanic δ18O, δD and δ13CDIC along a transect from
New Zealand to Antarctica using cavity ring-down isotope spectrometry,
J. Marine Syst., 137, 21–27, 2014.
Boé, J. and Habets, F.: Multi-decadal river flow variations in France, Hydrol. Earth Syst. Sci., 18, 691–708, https://doi.org/10.5194/hess-18-691-2014, 2014.
Caillouet, L., Vidal, J.-P., Sauquet, E., and Graff, B.: Probabilistic precipitation and temperature downscaling of the Twentieth Century Reanalysis over France, Clim. Past, 12, 635–662, https://doi.org/10.5194/cp-12-635-2016, 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.
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, 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.
Coulibaly, P. and Burn, D.: Wavelet analysis of variability in annual
Canadian streamflows, Water Resour. Res., 40, W03105,
https://doi.org/10.1029/2003WR002667, 2004.
Dayon, G., Boé, J., and Martin, E.: Transferability in the future
climate of a statistical downscaling method for precipitation in France,
J. Geophys. Res., 120, 1023–1043, https://doi.org/10.1002/2014JD022236,
2015.
Deser, C., Phillips, A., Bourdette, V., and Teng, H.: Uncertainty in climate
change projections: the role of internal variability, Clim. Dynam., 38,
527–546, https://doi.org/10.1007/s00382-010-0977-x, 2012.
Deser, C., Phillips, A. S., Alexander, M. A., and Smoliak, B. V.: Projecting
North American climate over the next 50 years: uncertainty due to internal
variability, J. Climate, 27, 2271–2296, https://doi.org/10.1175/JCLI-D-13-00451.1, 2014.
Dieppois, B., Durand, A., Fournier, M., and Massei, N.: Links between
multidecadal and interdecadal climatic oscillations in the North Atlantic
and regional climate variability of northern France and England since the
17th, J. Geophys. Res.-Atmos., 118, 4359–4372, 2013.
Dieppois, B., Lawler, D. M., Slonosky, V., Massei, N., Bigot, S., Fournier,
M., and Durand, A.: Multidecadal climate variability over northern France
during the past 500 years and its relation to large-scale atmospheric
circulation, Int. J. Climatol., 36, 4679–4696, https://doi.org/10.1002/joc.4660,
2016.
El Janyani, S., Massei, N., Dupont, J.-P., Fournier, M., and Dörfliger,
N.: Hydrological responses of the chalk aquifer to the regional climatic
signal, J. Hydrol., 464, 485-493, 2012.
Fiorella, R. P., Poulsen, C. J., and Matheny, A. M.: Seasonal patterns of
water cycling in a deep, continental mountain valley inferred from stable
water vapor isotopes, J. Geophys. Res.-Atmos., 123, 7271–7291, https://doi.org/10.1029/2017JD028093, 2018.
Fleig, A. K., Tallaksen, L. M., Hisdal, H., and Hannah, D. M.: Regional
hydrological drought in north-western Europe: linking a new Regional Drought
Area Index with weather types, Hydrol. Process., 25, 1163–1179, https://doi.org/10.1002/hyp.7644, 2011.
Fritier, N., Massei, N., Laignel, B., Durand, A., Dieppois, B., and Deloffre,
J.: Links between NAO fluctuations and inter-annual variability of
winter-months precipitation in the Seine River watershed (north-western
France), C. R. Geosci., 344, 396–405, 2012.
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, 2013.
Gudmundsson, L., Tallaksen, L. M., Stahl, K., and Fleig, A. K.: Low-frequency variability of European runoff, Hydrol. Earth Syst. Sci., 15, 2853–2869, https://doi.org/10.5194/hess-15-2853-2011, 2011.
Hannaford, J., Buys, G., Stahl, K., and Tallaksen, L. M.: The influence of decadal-scale variability on trends in long European streamflow records, Hydrol. Earth Syst. Sci., 17, 2717–2733, https://doi.org/10.5194/hess-17-2717-2013, 2013.
Hannah, D. M., Fleig, A. K., Kingston, D. G., Stagge, J. H., and Wilson, D.:
Connecting streamflow and atmospheric conditions in Europe: state-of-the-art
review and future direction, in: Hydrology in a Changing World: Environmental
and Human Dimensions, Proceedings of FRIEND–Water 2014, 7–10 October 2014, Montpellier, France, IAHS Publ., 363, 401–406, 2014.
Hartmann, A., Gleeson, T., Wada, Y., and Wagener, T.: Enhanced groundwater
recharge rates and altered recharge sensitivity to climate variability
through subsurface heterogeneity, P. Natl. Acad.
Sci. USA, 114, 201614941, 10.1073/pnas.1614941114, 2017.
Hawkins, E. and Sutton, R.: The potential to Narrow Uncertainty in Regional
Climate Predictions, B. Am. Meteorol. Soc., 90, 1095–1108, 2009.
Hilmer, M. and Jung, T.: Evidence for a recent change in the link between
the North Atlantic Oscillation and Arctic Sea ice export, Geophys. Res.
Lett., 27, 989–992, https://doi.org/10.1029/1999GL010944, 2000.
Holman, I. P., Rivas-Casado, M., Bloomfield, J. P., and Gurdak, J. J.: Identifying nonstationary groundwater level response to north Atlantic ocean–atmosphere teleconnection patterns using wavelet coherence, Hydrogeol. J., 19, 1269–1278, 2011.
Iliopoulou, T., Papalexiou, S. M., Markonis, Y., and Koutsoyiannis, D.:
Revisiting long-range dependence in annual precipitation, J. Hydrol., 556,
891–900, https://doi.org/10.1016/j.jhydrol.2016.04.015, 2018.
Ionita, M., Tallaksen, L. M., Kingston, D. G., Stagge, J. H., Laaha, G., Van Lanen, H. A. J., Scholz, P., Chelcea, S. M., and Haslinger, K.: The European 2015 drought from a climatological perspective, Hydrol. Earth Syst. Sci., 21, 1397–1419, https://doi.org/10.5194/hess-21-1397-2017, 2017.
James, P. M.: An objective classification method for Hess and Brezowsky
Grosswetterlagen over Europe, Theor. Appl. Climatol., 88, 17–42, 2007.
Keenlyside, N. S., Latif, M., Jungclaus, J., Kornblueh, L., and Roeckner, E.:
Advancing decadal-scale climate prediction in the North Atlantic sector,
Nature, 453, 84–88, 2008.
Kidson, J. W.: An analysis of New Zealand synoptic types and their use in
defining weather regimes, Int. J. Climatol., 20, 299–316, 2000.
Kingston, D. G. and McMecking, J.: Precipitation delivery trajectories associated with extreme river flow for the Waitaki River, New Zealand, Proc. IAHS, 369, 19–24, https://doi.org/10.5194/piahs-369-19-2015, 2015.
Kingston, D. G., Fleig, A. K., Tallaksen, L. M., and Hannah, D. M.:
Ocean-atmosphere forcing of summer streamflow drought in Great Britain, J.
Hydrometeorol., 14, 331–344, https://doi.org/10.1175/JHM-D-11-0100.1, 2013.
Kingston, D. G., Stagge, J. H., Tallaksen, L. M., and Hannah, D. M.:
European-scale drought: Understanding connections between atmospheric
circulation and meteorological drought indices, J. Climate, 28, 505–516,
https://doi.org/10.1175/JCLI-D-14-00001.1, 2015.
Kingston, D. G., Webster, C. S., and Sirguey, P.: Atmospheric circulation
drivers of lake inflow for the Waitaki River, New Zealand, Int. J.
Climatol., 36, 1102–1113, https://doi.org/10.1002/joc.4405, 2016a.
Kingston, D. G, Lavers, D. A., and Hannah, D. M.: Floods in the Southern Alps
of New Zealand: The importance of atmospheric rivers, Hydrol. Process.,
30, 5063–5070, https://doi.org/10.1002/hyp.10982, 2016b.
Kuentz, A., Mathevet, T., Coeur, D., Perret, C., Gailhard, J., Guérin,
L., Gash, Y., and Andréassian, V.: Historical hydrometry and hydrology
of the Durance river watershed, Houille Blanche, 5, 57–63, https://doi.org/10.1051/lhb/2014039, 2014.
Kuentz, A., Mathevet, T., Gailhard, J., and Hingray, B.: Building long-term and high spatio-temporal resolution precipitation and air temperature reanalyses by mixing local observations and global atmospheric reanalyses: the ANATEM model, Hydrol. Earth Syst. Sci., 19, 2717–2736, https://doi.org/10.5194/hess-19-2717-2015, 2015.
Labat, D.: Oscillations in land surface hydrological cycle, Earth Planet.
Sc. Lett., 242, 143–154, 2006.
Laizé, C. and Hannah, D. M.: Modification of climate–river flow associations by basin properties, J. Hydrol., 389, 186–204, https://doi.org/10.1016/j.jhydrol.2010.05.048, 2010.
Laloyaux, P., de Boisseson, E., Balmaseda, M., Bidlot, J.-R., Broennimann,
S., Buizza, R., Dalhgren, P., Dee, D., Haimberger, L., Hersbach, H., Kosaka,
Y., Martin, M., Poli, P., Rayner, N., Rustemeier, E., and Schepers, D.:
CERA-20C: A Coupled Reanalysis of the Twentieth Century, J. Adv. Model.
Earth Syst., 10, 1172–1195, https://doi.org/10.1029/2018MS001273, 2018.
Lamb, H. H.: British Isles Weather Types and a Register of Daily Sequence of
Circulation Patterns, 1861–1971, Geophysical Memoire 116, HMSO, London, UK, 85 pp., 1972.
Lavers, D. A. and Villarini, G.: The nexus between atmospheric rivers and
extreme precipitation across Europe, Geophys. Res. Lett., 40, 3259–3264,
2013.
Lavers, D. A., Prudhomme, C., and Hannah, D. M.: European precipitation
connections with large-scale mean sea level pressure (MSLP) fields, Hydrolog.
Sci. J., 58, 1–18, 2013.
Lavers, D. A., Pappenberger, F., and Zsoter, E.: Extending medium-range
predictability of extreme hydrological events in Europe, Nat. Commun.,
5, 5382, https://doi.org/10.1038/ncomms6382, 2014.
Lavers, D. A., Hannah, D. M., and Bradley, C.: Linking variations in
groundwater level in southern England to large-scale atmospheric
circulation, J. Hydrol., 523, 179–189, 2015.
Markonis, Y. and Koutsoyiannis, D.: Scale-dependence of persistence in
precipitation records, Nat. Clim. Chang., 6, 399–401, 2016.
Markonis, Y., Hanel, M., Maca, P., Kysely, J., and Cook, E. R.: Persistent
multi-scale fluctuations shift European hydroclimate to its millennial
boundaries, Nat. Commun., 9, 1767, https://doi.org/10.1038/s41467-018-04207-7, 2018.
Massei, N. and Fournier, M.: Assessing the expression of large-scale
climatic fluctuations in the hydrological variability of daily Seine river
flow (France) between 1950 and 2008 using Hilbert-Huang Transform, J.
Hydrol., 448–449, 119–128, 2012.
Massei, N., Laignel, B., Deloffre, J., Mesquita, J., Motelay, A., Lafite, R.,
and Durand, A.: Long-term hydrological changes of the Seine River flow
(France) and their relation to the North Atlantic Oscillation over the
period 1950–2008, Int. J. Climatol., 30, 2146–2154, 2010.
Massei, N., Dieppois, B., Hannah, D. M., Lavers, D. A., Fossa, M.,
Laignel, B., and Debret, M.: Multi-time-scale hydroclimate dynamics of a
regional watershed and links to large-scale atmospheric circulation:
Application to the Seine river catchment, France, J. Hydrol., 546, 262–275,
https://doi.org/10.1016/j.jhydrol.2017.01.008, 2017.
McCabe, G. J. and Wolock, D. M.: A step increase in streamflow in the
conterminous United States, Geophys. Res. Lett., 29, 2185, https://doi.org/10.1029/2002GL015999, 2002.
Meehl, G. A., Hu, A., Santer, B. D., and Xie, S.-P.: Contribution of the
Interdecadal Pacific Oscillation to twentieth-century global surface
temperature trends, Nat. Clim. Chang., 6, 1005–1008, 2016.
Miles, M. W., Divine, D. V., Furevik, T., Jansen, E., Moros, M., and Ogilvie, A. E. J.: A signal of persistent Atlantic multidecadal variability in Arctic
sea ice, Geophys. Res. Lett., 41, 463–469, https://doi.org/10.1002/2013GL058084, 2014.
Minvielle, M., Pagé, C., Céron, J.-P., and Besson, F.: Extension of
the SIM Reanalysis by combination of observations and statistical
downscaling, in: Engineering Geology for Society and Territory, eidtd by: Lollino, G.,
Manconi, A., Clague, J., Shan, W., and Chiarle, M., 1, 189–192,
https://doi.org/10.1007/978-3-319-09300-0_36, 2015.
Pagano, T. and Garen, D.: A recent increase in western U.S. streamflow
variability and persistence, J. Hydrometeorol., 6, 173–179, 2005.
Paltan, H., Waliser, D., Lim, W. H., Guan, B., Yamazaki, D., Pant, R., and
Dadson, S.: Global floods and water availability driven by atmospheric
rivers, Geophys. Res. Lett., 44, 10387–10395, https://doi.org/10.1002/2017GL074882, 2017.
Poli, P., Hersbach, H., Dee, D. P., Berrisford, P., Simmons, A. J., Vitart,
F., Laloyaux, P., Tan, D. G. H., Peubey, C., Thépaut, J.-N.,
Trémolet, Y., Hólm, E. V., Bonavita, M., Isaksen, L., and Fisher,
M.: ERA-20C: An atmospheric reanalysis of the twentieth century, J. Climate,
29, 4083–4097, https://doi.org/10.1175/JCLI-D-15-0556.1, 2016.
Roberts, C. D., Palmer, M. D., McNeall, D., and Collins M.: Quantifying the
likelihood of a continued hiatus in global warming, Nat. Clim. Chang.,
5, 337–342, 2015.
Sahin, S., Turkes, M., Wang, S. H., Hannah, D. M., and Eastwood, W. J.: Large scale moisture flux characteristics of the Mediterranean basin
and their relationships with drier and wetter climate conditions, Clim.
Dynam., 45, 3381–3401, 2015.
Slimani, S., Massei, N., Mesquita, J., Valdés, D., Fournier, M.,
Laignel, B., and Dupont, J.-P.: Combined climatic and geological forcings
on the spatio-temporal variability of piezometric levels in the chalk
aquifer of Upper Normandy (France) at pluridecennal scale, Hydrogeol. J., 17, 1823–1832, 2009.
Stahl, K., Hisdal, H., Hannaford, J., Tallaksen, L. M., van Lanen, H. A. J., Sauquet, E., Demuth, S., Fendekova, M., and Jódar, J.: Streamflow trends in Europe: evidence from a dataset of near-natural catchments, Hydrol. Earth Syst. Sci., 14, 2367–2382, https://doi.org/10.5194/hess-14-2367-2010, 2010.
Thiéry, D., Amraoui, N., and Noyer, M.-L.: Modelling flow and heat
transfer through unsaturated chalk – Validation with experimental data from
the ground surface to the aquifer, J. Hydrol., 556, 660–673, 2018.
Wilhelm, B., Sabatier, P., and Arnaud, F.: Is a regional flood signal
reproducible from lake sediments?, Sedimentology, 62, 1103–1117, https://doi.org/10.1111/sed.12180, 2015.
Wilhelm, B., Vogel, H., Crouzet, C., Etienne, D., and Anselmetti, F. S.: Frequency and intensity of palaeofloods at the interface of Atlantic and Mediterranean climate domains, Clim. Past, 12, 299–316, https://doi.org/10.5194/cp-12-299-2016, 2016.
Zhang, R., Delworth, T. L., and Held, I. M.: Can the Atlantic Ocean drive the
observed multidecadal variability in Northern Hemisphere mean temperature?,
Geophys. Res. Lett., 34, L02709, https://doi.org/10.1029/2006GL028683, 2007.
Short summary
This paper presents recent thoughts by members of EURO-FRIEND Water project 3 “Large-scale-variations in hydrological characteristics” about research needed to characterize and understand large-scale hydrology under global changes. Emphasis is put on the necessary efforts to better understand 1 – the impact of low-frequency climate variability on hydrological trends and extremes, 2 – the role of basin properties on modulating the climate signal producing hydrological responses on the basin scale.
This paper presents recent thoughts by members of EURO-FRIEND Water project 3...
