Articles | Volume 26, issue 21
https://doi.org/10.5194/hess-26-5605-2022
© 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-26-5605-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Nov 2022
Research article |
| 09 Nov 2022
| 09 Nov 2022
Use of expert elicitation to assign weights to climate and hydrological models in climate impact studies
Eva Sebok
Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Ernesto Pastén-Zapata
Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Department of Geographical and Historical Studies, University of Eastern Finland, Joensuu, Finland
Peter Berg
Swedish Meteorological and Hydrological Institute, Norrköping,
Sweden
Guillaume Thirel
HYCAR Research Unit, Université Paris-Saclay, INRAE, Antony,
France
Anthony Lemoine
HYCAR Research Unit, Université Paris-Saclay, INRAE, Antony,
France
Andrea Lira-Loarca
Andalusian Earth Sciences Institute, University of Granada, Granada, Spain
Christiana Photiadou
Swedish Meteorological and Hydrological Institute, Norrköping,
Sweden
European Environment Agency, Copenhagen, Denmark
Rafael Pimentel
Fluvial Dynamics and Hydrology Research Group, Andalusian Institute
for Earth System Research (IISTA), University of Córdoba, Córdoba, Spain
Department of Agronomy, María de Maeztu Unit of Excellence
(DAUCO), University of Córdoba, Córdoba, Spain
Paul Royer-Gaspard
HYCAR Research Unit, Université Paris-Saclay, INRAE, Antony,
France
Erik Kjellström
Swedish Meteorological and Hydrological Institute, Norrköping,
Sweden
Jens Hesselbjerg Christensen
Physics of Ice, Climate and Earth, Niels Bohr Institute, University of
Copenhagen, Copenhagen, Denmark
Bjerknes Centre for Climate
Research, NORCE Norwegian Research Centre, Bergen, Norway
Danish Meteorological Institute, Copenhagen, Denmark
Jean Philippe Vidal
RiverLy Research Unit, INRAE, Villeurbanne CEDEX, France
Philippe Lucas-Picher
Groupe de Météorologie de Grande Échelle et Climat,
Centre National de Recherches Météorologiques, Météo-France,
Toulouse, France
Département des sciences de la Terre et de l'atmosphère,
Université du Québec à Montréal, Montréal, Quebec,
Canada
Markus G. Donat
Barcelona Supercomputing Center, Barcelona, Spain
ICREA, Pg. Lluís Companys 23, Barcelona, Spain
Giovanni Besio
Department of Civil, Chemical and Environmental Engineering, University of Genoa, Genoa, Italy
María José Polo
Fluvial Dynamics and Hydrology Research Group, Andalusian Institute
for Earth System Research (IISTA), University of Córdoba, Córdoba, Spain
Department of Agronomy, María de Maeztu Unit of Excellence
(DAUCO), University of Córdoba, Córdoba, Spain
Simon Stisen
Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Yvan Caballero
BRGM, University of Montpellier, Montpellier, France
Ilias G. Pechlivanidis
Swedish Meteorological and Hydrological Institute, Norrköping,
Sweden
Lars Troldborg
Geological Survey of Denmark and Greenland, Copenhagen, Denmark
Jens Christian Refsgaard
Geological Survey of Denmark and Greenland, Copenhagen, Denmark
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Johanne Kristine Haandbæk Øelund, Jens Hesselbjerg Christensen, Rune Magnus Koktvedgaard Zeitzen, Henrik Vedel, and Henrik Feddersen
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Markus Giese, Yvan Caballero, Andreas Hartmann, and Jean-Baptiste Charlier
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Tanja Denager, Jesper Riis Christiansen, Raphael Johannes Maria Schneider, Peter L. Langen, Thea Quistgaard, and Simon Stisen
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Gustav Strandberg, August Thomasson, Lars Bärring, Erik Kjellström, Michael Sahlin, Renate Wilcke, and Grigory Nikulin
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Eric Sauquet, Guillaume Evin, Sonia Siauve, Ryma Aissat, Patrick Arnaud, Maud Bérel, Jérémie Bonneau, Flora Branger, Yvan Caballero, François Colléoni, Agnès Ducharne, Joël Gailhard, Florence Habets, Frédéric Hendrickx, Louis Héraut, Benoît Hingray, Peng Huang, Tristan Jaouen, Alexis Jeantet, Sandra Lanini, Matthieu Le Lay, Claire Magand, Louise Mimeau, Céline Monteil, Simon Munier, Charles Perrin, Olivier Robelin, Fabienne Rousset, Jean-Michel Soubeyroux, Laurent Strohmenger, Guillaume Thirel, Flore Tocquer, Yves Tramblay, Jean-Pierre Vergnes, and Jean-Philippe Vidal
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Claudia Canedo Rosso, Lars Nyberg, and Ilias Pechlivanidis
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Alba Santos-Espeso, María Gonçalves Ageitos, Pablo Ortega, Carlos Pérez García-Pando, Markus G. Donat, Margarida Samso Cabré, and Saskia Loosveldt Tomas
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Hydrol. Earth Syst. Sci., 29, 1615–1636, https://doi.org/10.5194/hess-29-1615-2025, https://doi.org/10.5194/hess-29-1615-2025, 2025
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Our study projects how climate change will affect the drying of river segments and stream networks in Europe, using advanced modelling techniques to assess changes in six river networks across diverse ecoregions. We found that drying events will become more frequent and intense and will start earlier or last longer, potentially turning some river sections from perennial to intermittent. The results are valuable for river ecologists for evaluating the ecological health of river ecosystem.
Francesco Ferrari, Carmen Zarzuelo, Alejandro López-Ruiz, and Andrea Lira-Loarca
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-92, https://doi.org/10.5194/essd-2025-92, 2025
Revised manuscript accepted for ESSD
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Christophe Cudennec, Ernest Amoussou, Yonca Cavus, Pedro L. B. Chaffe, Svenja Fischer, Salvatore Grimaldi, Jean-Marie Kileshye Onema, Mohammad Merheb, Maria-Jose Polo, Eric Servat, and Elena Volpi
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Juan C. Acosta Navarro, Alvise Aranyossy, Paolo De Luca, Markus G. Donat, Arthur Hrast Essenfelder, Rashed Mahmood, Andrea Toreti, and Danila Volpi
EGUsphere, https://doi.org/10.5194/egusphere-2025-319, https://doi.org/10.5194/egusphere-2025-319, 2025
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A computationally inexpensive climate model analog method yields skillful climate predictions across timescales, from seasons to multiple years, complementing existing climate prediction systems and potentially providing valuable information for sectors like agriculture and energy.
Léonard Santos, Vazken Andréassian, Torben O. Sonnenborg, Göran Lindström, Alban de Lavenne, Charles Perrin, Lila Collet, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 29, 683–700, https://doi.org/10.5194/hess-29-683-2025, https://doi.org/10.5194/hess-29-683-2025, 2025
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This work investigates how hydrological models are transferred to a period in which climate conditions are different to the ones of the period in which they were set up. The robustness assessment test built to detect dependencies between model error and climatic drivers was applied to three hydrological models in 352 catchments in Denmark, France and Sweden. Potential issues are seen in a significant number of catchments for the models, even though the catchments differ for each model.
Pedro José Roldán-Gómez, Paolo De Luca, Raffaele Bernardello, and Markus G. Donat
Earth Syst. Dynam., 16, 1–27, https://doi.org/10.5194/esd-16-1-2025, https://doi.org/10.5194/esd-16-1-2025, 2025
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Current trends in CO2 emissions increase the probability of an overshoot scenario in which temperatures exceed the targets of the Paris Agreement and are brought back afterwards with a net-negative emission strategy. This work analyses how the climate after the overshoot would differ from the climate before, linking large scale non-reversibility mechanisms to changes in regional climates and identifying those regions more impacted by changes in temperature and precipitation extremes.
Peter Berg, Thomas Bosshard, Denica Bozhinova, Lars Bärring, Joakim Löw, Carolina Nilsson, Gustav Strandberg, Johan Södling, Johan Thuresson, Renate Wilcke, and Wei Yang
Geosci. Model Dev., 17, 8173–8179, https://doi.org/10.5194/gmd-17-8173-2024, https://doi.org/10.5194/gmd-17-8173-2024, 2024
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When bias adjusting climate model data using quantile mapping, one needs to prescribe what to do at the tails of the distribution, where a larger data range is likely encountered outside of the calibration period. The end result is highly dependent on the method used. We show that, to avoid discontinuities in the time series, one needs to exclude data in the calibration range to also activate the extrapolation functionality in that time period.
Guillaume Thirel, Léonard Santos, Olivier Delaigue, and Charles Perrin
Hydrol. Earth Syst. Sci., 28, 4837–4860, https://doi.org/10.5194/hess-28-4837-2024, https://doi.org/10.5194/hess-28-4837-2024, 2024
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We discuss how mathematical transformations impact calibrated hydrological model simulations. We assess how 11 transformations behave over the complete range of streamflows. Extreme transformations lead to models that are specialized for extreme streamflows but show poor performance outside the range of targeted streamflows and are less robust. We show that no a priori assumption about transformations can be taken as warranted.
Colin G. Jones, Fanny Adloff, Ben B. B. Booth, Peter M. Cox, Veronika Eyring, Pierre Friedlingstein, Katja Frieler, Helene T. Hewitt, Hazel A. Jeffery, Sylvie Joussaume, Torben Koenigk, Bryan N. Lawrence, Eleanor O'Rourke, Malcolm J. Roberts, Benjamin M. Sanderson, Roland Séférian, Samuel Somot, Pier Luigi Vidale, Detlef van Vuuren, Mario Acosta, Mats Bentsen, Raffaele Bernardello, Richard Betts, Ed Blockley, Julien Boé, Tom Bracegirdle, Pascale Braconnot, Victor Brovkin, Carlo Buontempo, Francisco Doblas-Reyes, Markus Donat, Italo Epicoco, Pete Falloon, Sandro Fiore, Thomas Frölicher, Neven S. Fučkar, Matthew J. Gidden, Helge F. Goessling, Rune Grand Graversen, Silvio Gualdi, José M. Gutiérrez, Tatiana Ilyina, Daniela Jacob, Chris D. Jones, Martin Juckes, Elizabeth Kendon, Erik Kjellström, Reto Knutti, Jason Lowe, Matthew Mizielinski, Paola Nassisi, Michael Obersteiner, Pierre Regnier, Romain Roehrig, David Salas y Mélia, Carl-Friedrich Schleussner, Michael Schulz, Enrico Scoccimarro, Laurent Terray, Hannes Thiemann, Richard A. Wood, Shuting Yang, and Sönke Zaehle
Earth Syst. Dynam., 15, 1319–1351, https://doi.org/10.5194/esd-15-1319-2024, https://doi.org/10.5194/esd-15-1319-2024, 2024
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We propose a number of priority areas for the international climate research community to address over the coming decade. Advances in these areas will both increase our understanding of past and future Earth system change, including the societal and environmental impacts of this change, and deliver significantly improved scientific support to international climate policy, such as future IPCC assessments and the UNFCCC Global Stocktake.
Anne F. Van Loon, Sarra Kchouk, Alessia Matanó, Faranak Tootoonchi, Camila Alvarez-Garreton, Khalid E. A. Hassaballah, Minchao Wu, Marthe L. K. Wens, Anastasiya Shyrokaya, Elena Ridolfi, Riccardo Biella, Viorica Nagavciuc, Marlies H. Barendrecht, Ana Bastos, Louise Cavalcante, Franciska T. de Vries, Margaret Garcia, Johanna Mård, Ileen N. Streefkerk, Claudia Teutschbein, Roshanak Tootoonchi, Ruben Weesie, Valentin Aich, Juan P. Boisier, Giuliano Di Baldassarre, Yiheng Du, Mauricio Galleguillos, René Garreaud, Monica Ionita, Sina Khatami, Johanna K. L. Koehler, Charles H. Luce, Shreedhar Maskey, Heidi D. Mendoza, Moses N. Mwangi, Ilias G. Pechlivanidis, Germano G. Ribeiro Neto, Tirthankar Roy, Robert Stefanski, Patricia Trambauer, Elizabeth A. Koebele, Giulia Vico, and Micha Werner
Nat. Hazards Earth Syst. Sci., 24, 3173–3205, https://doi.org/10.5194/nhess-24-3173-2024, https://doi.org/10.5194/nhess-24-3173-2024, 2024
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Drought is a creeping phenomenon but is often still analysed and managed like an isolated event, without taking into account what happened before and after. Here, we review the literature and analyse five cases to discuss how droughts and their impacts develop over time. We find that the responses of hydrological, ecological, and social systems can be classified into four types and that the systems interact. We provide suggestions for further research and monitoring, modelling, and management.
Riccardo Biella, Anastasiya Shyrokaya, Ilias Pechlivanidis, Daniela Cid, Maria Carmen Llasat, Marthe Wens, Marleen Lam, Elin Stenfors, Samuel Sutanto, Elena Ridolfi, Serena Ceola, Pedro Alencar, Giuliano Di Baldassarre, Monica Ionita, Mariana Madruga de Brito, Scott J. McGrane, Benedetta Moccia, Viorica Nagavciuc, Fabio Russo, Svitlana Krakovska, Andrijana Todorovic, Faranak Tootoonchi, Patricia Trambauer, Raffaele Vignola, and Claudia Teutschbein
EGUsphere, https://doi.org/10.5194/egusphere-2024-2073, https://doi.org/10.5194/egusphere-2024-2073, 2024
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This research by the Drought in the Anthropocene (DitA) network highlights the crucial role of forecasting systems and Drought Management Plans in European drought risk management. Based on a survey of water managers during the 2022 European drought, it underscores the impact of preparedness on response and the evolution of drought management strategies across the continent. The study concludes with a plea for a European Drought Directive.
Erik Holmgren and Erik Kjellström
Nat. Hazards Earth Syst. Sci., 24, 2875–2893, https://doi.org/10.5194/nhess-24-2875-2024, https://doi.org/10.5194/nhess-24-2875-2024, 2024
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Associating extreme weather events with changes in the climate remains difficult. We have explored two ways these relationships can be investigated: one using a more common method and one relying solely on long-running records of meteorological observations.
Our results show that while both methods lead to similar conclusions for two recent weather events in Sweden, the commonly used method risks underestimating the strength of the connection between the event and changes to the climate.
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
EGUsphere, https://doi.org/10.5194/egusphere-2024-2069, https://doi.org/10.5194/egusphere-2024-2069, 2024
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This research by the Drought in the Anthropocene (DitA) network highlights gaps in European drought management exposed by the 2022 drought and proposes a new direction. Using a Europe-wide survey of water managers, we examine four areas: increasing drought risk, impacts, drought management strategies, and their evolution. Despite growing risks, management remains fragmented and short-term. However, signs of improvement suggest readiness for change. We advocate for a European Drought Directive.
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.
Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, and Raphael J. M. Schneider
Hydrol. Earth Syst. Sci., 28, 2871–2893, https://doi.org/10.5194/hess-28-2871-2024, https://doi.org/10.5194/hess-28-2871-2024, 2024
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We developed hybrid schemes to enhance national-scale streamflow predictions, combining long short-term memory (LSTM) with a physically based hydrological model (PBM). A comprehensive evaluation of hybrid setups across Denmark indicates that LSTM models forced by climate data and catchment attributes perform well in many regions but face challenges in groundwater-dependent basins. The hybrid schemes supported by PBMs perform better in reproducing long-term streamflow behavior and extreme events.
Eva Contreras, Rafael Pimentel, Cristina Aguilar, Javier Aparicio, and María J. Polo
Proc. IAHS, 385, 297–303, https://doi.org/10.5194/piahs-385-297-2024, https://doi.org/10.5194/piahs-385-297-2024, 2024
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The Global Surface Water Explorer (GSWE) was combined with bathymetric and historical meteorological data to quantify water balance during the period 1984–2020 in the Primera de Palos freshwater lagoon (Southwest Spain). The results showed that the natural hydrological regime of the lagoon was modified from 1995 by water inputs from irrigation returns. Thanks to a water balance approach, these irrigation returns were quantified as the closure term of the water balance.
Cyril Thébault, Charles Perrin, Vazken Andréassian, Guillaume Thirel, Sébastien Legrand, and Olivier Delaigue
Hydrol. Earth Syst. Sci., 28, 1539–1566, https://doi.org/10.5194/hess-28-1539-2024, https://doi.org/10.5194/hess-28-1539-2024, 2024
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Streamflow forecasting is useful for many applications, ranging from population safety (e.g. floods) to water resource management (e.g. agriculture or hydropower). To this end, hydrological models must be optimized. However, a model is inherently wrong. This study aims to analyse the contribution of a multi-model approach within a variable spatial framework to improve streamflow simulations. The underlying idea is to take advantage of the strength of each modelling framework tested.
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183, https://doi.org/10.5194/nhess-24-1163-2024, https://doi.org/10.5194/nhess-24-1163-2024, 2024
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High-resolution convection-permitting climate models (CPMs) are now available to better simulate rainstorm events leading to flash floods. In this study, two hydrological models are compared to simulate floods in a Mediterranean basin, showing a better ability of the CPM to reproduce flood peaks compared to coarser-resolution climate models. Future projections are also different, with a projected increase for the most severe floods and a potential decrease for the most frequent events.
Fredrik Lagergren, Robert G. Björk, Camilla Andersson, Danijel Belušić, Mats P. Björkman, Erik Kjellström, Petter Lind, David Lindstedt, Tinja Olenius, Håkan Pleijel, Gunhild Rosqvist, and Paul A. Miller
Biogeosciences, 21, 1093–1116, https://doi.org/10.5194/bg-21-1093-2024, https://doi.org/10.5194/bg-21-1093-2024, 2024
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The Fennoscandian boreal and mountain regions harbour a wide range of ecosystems sensitive to climate change. A new, highly resolved high-emission climate scenario enabled modelling of the vegetation development in this region at high resolution for the 21st century. The results show dramatic south to north and low- to high-altitude shifts of vegetation zones, especially for the open tundra environments, which will have large implications for nature conservation, reindeer husbandry and forestry.
Louise Mimeau, Annika Künne, Flora Branger, Sven Kralisch, Alexandre Devers, and Jean-Philippe Vidal
Hydrol. Earth Syst. Sci., 28, 851–871, https://doi.org/10.5194/hess-28-851-2024, https://doi.org/10.5194/hess-28-851-2024, 2024
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Modelling flow intermittence is essential for predicting the future evolution of drying in river networks and better understanding the ecological and socio-economic impacts. However, modelling flow intermittence is challenging, and observed data on temporary rivers are scarce. This study presents a new modelling approach for predicting flow intermittence in river networks and shows that combining different sources of observed data reduces the model uncertainty.
Søren Julsgaard Kragh, Jacopo Dari, Sara Modanesi, Christian Massari, Luca Brocca, Rasmus Fensholt, Simon Stisen, and Julian Koch
Hydrol. Earth Syst. Sci., 28, 441–457, https://doi.org/10.5194/hess-28-441-2024, https://doi.org/10.5194/hess-28-441-2024, 2024
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This study provides a comparison of methodologies to quantify irrigation to enhance regional irrigation estimates. To evaluate the methodologies, we compared various approaches to quantify irrigation using soil moisture, evapotranspiration, or both within a novel baseline framework, together with irrigation estimates from other studies. We show that the synergy from using two equally important components in a joint approach within a baseline framework yields better irrigation estimates.
Elsa Mohino, Paul-Arthur Monerie, Juliette Mignot, Moussa Diakhaté, Markus Donat, Christopher David Roberts, and Francisco Doblas-Reyes
Earth Syst. Dynam., 15, 15–40, https://doi.org/10.5194/esd-15-15-2024, https://doi.org/10.5194/esd-15-15-2024, 2024
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The impact of the Atlantic multidecadal variability (AMV) on the rainfall distribution and timing of the West African monsoon is not well known. Analysing model output, we find that a positive AMV enhances the number of wet days, daily rainfall intensity, and extremes over the Sahel and tends to prolong the monsoon length through later demise. Heavy rainfall events increase all over the Sahel, while moderate ones only occur in the north. Model biases affect the skill in simulating AMV impact.
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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We present the results of a large visual inspection campaign of 674 streamflow time series in France. The objective was to detect non-natural records resulting from instrument failure or anthropogenic influences, such as hydroelectric power generation or reservoir management. We conclude that the identification of flaws in flow time series is highly dependent on the objectives and skills of individual evaluators, and we raise the need for better practices for data cleaning.
Olivier Delaigue, Pierre Brigode, Guillaume Thirel, and Laurent Coron
Hydrol. Earth Syst. Sci., 27, 3293–3327, https://doi.org/10.5194/hess-27-3293-2023, https://doi.org/10.5194/hess-27-3293-2023, 2023
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Teaching hydrological modeling is an important, but difficult, matter. It requires appropriate tools and teaching material. In this article, we present the airGRteaching package, which is an open-source software tool relying on widely used hydrological models. This tool proposes an interface and numerous hydrological modeling exercises representing a wide range of hydrological applications. We show how this tool can be applied to simple but real-life cases.
Hafsa Mahmood, Ty P. A. Ferré, Raphael J. M. Schneider, Simon Stisen, Rasmus R. Frederiksen, and Anders V. Christiansen
EGUsphere, https://doi.org/10.5194/egusphere-2023-1872, https://doi.org/10.5194/egusphere-2023-1872, 2023
Preprint withdrawn
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Temporal drain flow dynamics and understanding of their underlying controlling factors are important for water resource management in tile-drained agricultural areas. This study examine whether simpler, more efficient machine learning (ML) models can provide acceptable solutions compared to traditional physics based models. We predicted drain flow time series in multiple catchments subject to a range of climatic and landscape conditions.
Gustav Strandberg, Jie Chen, Ralph Fyfe, Erik Kjellström, Johan Lindström, Anneli Poska, Qiong Zhang, and Marie-José Gaillard
Clim. Past, 19, 1507–1530, https://doi.org/10.5194/cp-19-1507-2023, https://doi.org/10.5194/cp-19-1507-2023, 2023
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The impact of land use and land cover change (LULCC) on the climate around 2500 years ago is studied using reconstructions and models. The results suggest that LULCC impacted the climate in parts of Europe. Reconstructed LULCC shows up to 1.5 °C higher temperature in parts of Europe in some seasons. This relatively strong response implies that anthropogenic LULCC that had occurred by the late prehistoric period may have already affected the European climate by 2500 years ago.
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).
Søren J. Kragh, Rasmus Fensholt, Simon Stisen, and Julian Koch
Hydrol. Earth Syst. Sci., 27, 2463–2478, https://doi.org/10.5194/hess-27-2463-2023, https://doi.org/10.5194/hess-27-2463-2023, 2023
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This study investigates the precision of irrigation estimates from a global hotspot of unsustainable irrigation practice, the Indus and Ganges basins. We show that irrigation water use can be estimated with high precision by comparing satellite and rainfed hydrological model estimates of evapotranspiration. We believe that our work can support sustainable water resource management, as it addresses the uncertainty of a key component of the water balance that remains challenging to quantify.
Julian Koch, Lars Elsgaard, Mogens H. Greve, Steen Gyldenkærne, Cecilie Hermansen, Gregor Levin, Shubiao Wu, and Simon Stisen
Biogeosciences, 20, 2387–2403, https://doi.org/10.5194/bg-20-2387-2023, https://doi.org/10.5194/bg-20-2387-2023, 2023
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Utilizing peatlands for agriculture leads to large emissions of greenhouse gases worldwide. The emissions are triggered by lowering the water table, which is a necessary step in order to make peatlands arable. Many countries aim at reducing their emissions by restoring peatlands, which can be achieved by stopping agricultural activities and thereby raising the water table. We estimate a total emission of 2.6 Mt CO2-eq for organic-rich peatlands in Denmark and a potential reduction of 77 %.
John Erik Engström, Lennart Wern, Sverker Hellström, Erik Kjellström, Chunlüe Zhou, Deliang Chen, and Cesar Azorin-Molina
Earth Syst. Sci. Data, 15, 2259–2277, https://doi.org/10.5194/essd-15-2259-2023, https://doi.org/10.5194/essd-15-2259-2023, 2023
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Newly digitized wind speed observations provide data from the time period from around 1920 to the present, enveloping one full century of wind measurements. The results of this work enable the investigation of the historical variability and trends in surface wind speed in Sweden for
the last century.
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.
Raphael Schneider, Julian Koch, Lars Troldborg, Hans Jørgen Henriksen, and Simon Stisen
Hydrol. Earth Syst. Sci., 26, 5859–5877, https://doi.org/10.5194/hess-26-5859-2022, https://doi.org/10.5194/hess-26-5859-2022, 2022
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Hydrological models at high spatial resolution are computationally expensive. However, outputs from such models, such as the depth of the groundwater table, are often desired in high resolution. We developed a downscaling algorithm based on machine learning that allows us to increase spatial resolution of hydrological model outputs, alleviating computational burden. We successfully applied the downscaling algorithm to the climate-change-induced impacts on the groundwater table across Denmark.
Rashed Mahmood, Markus G. Donat, Pablo Ortega, Francisco J. Doblas-Reyes, Carlos Delgado-Torres, Margarida Samsó, and Pierre-Antoine Bretonnière
Earth Syst. Dynam., 13, 1437–1450, https://doi.org/10.5194/esd-13-1437-2022, https://doi.org/10.5194/esd-13-1437-2022, 2022
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Near-term climate change projections are strongly affected by the uncertainty from internal climate variability. Here we present a novel approach to reduce such uncertainty by constraining decadal-scale variability in the projections using observations. The constrained ensembles show significant added value over the unconstrained ensemble in predicting global climate 2 decades ahead. We also show the applicability of regional constraints for attributing predictability to certain ocean regions.
Changgui Lin, Erik Kjellström, Renate Anna Irma Wilcke, and Deliang Chen
Earth Syst. Dynam., 13, 1197–1214, https://doi.org/10.5194/esd-13-1197-2022, https://doi.org/10.5194/esd-13-1197-2022, 2022
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This study endorses RCMs' added value on the driving GCMs in representing observed heat wave magnitudes. The future increase of heat wave magnitudes projected by GCMs is attenuated when downscaled by RCMs. Within the downscaling, uncertainties can be attributed almost equally to choice of RCMs and to the driving data associated with different GCMs. Uncertainties of GCMs in simulating heat wave magnitudes are transformed by RCMs in a complex manner rather than simply inherited.
Peter Berg, Thomas Bosshard, Wei Yang, and Klaus Zimmermann
Geosci. Model Dev., 15, 6165–6180, https://doi.org/10.5194/gmd-15-6165-2022, https://doi.org/10.5194/gmd-15-6165-2022, 2022
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When performing impact analyses with climate models, one is often confronted with the issue that the models have significant bias. Commonly, the modelled climatological temperature deviates from the observed climate by a few degrees or it rains excessively in the model. MIdAS employs a novel statistical model to translate the model climatology toward that observed using novel methodologies and modern tools. The coding platform allows opportunities to develop methods for high-resolution models.
N. Hempelmann, C. Ehbrecht, E. Plesiat, G. Hobona, J. Simoes, D. Huard, T. J. Smith, U. S. McKnight, I. G. Pechlivanidis, and C. Alvarez-Castro
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W1-2022, 187–194, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-187-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-187-2022, 2022
Rena Meyer, Wenmin Zhang, Søren Julsgaard Kragh, Mie Andreasen, Karsten Høgh Jensen, Rasmus Fensholt, Simon Stisen, and Majken C. Looms
Hydrol. Earth Syst. Sci., 26, 3337–3357, https://doi.org/10.5194/hess-26-3337-2022, https://doi.org/10.5194/hess-26-3337-2022, 2022
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The amount and spatio-temporal distribution of soil moisture, the water in the upper soil, is of great relevance for agriculture and water management. Here, we investigate whether the established downscaling algorithm combining different satellite products to estimate medium-scale soil moisture is applicable to higher resolutions and whether results can be improved by accounting for land cover types. Original satellite data and downscaled soil moisture are compared with ground observations.
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.
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.
Thibault Lemaitre-Basset, Ludovic Oudin, Guillaume Thirel, and Lila Collet
Hydrol. Earth Syst. Sci., 26, 2147–2159, https://doi.org/10.5194/hess-26-2147-2022, https://doi.org/10.5194/hess-26-2147-2022, 2022
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Increasing temperature will impact evaporation and water resource management. Hydrological models are fed with an estimation of the evaporative demand of the atmosphere, called potential evapotranspiration (PE). The objectives of this study were (1) to compute the future PE anomaly over France and (2) to determine the impact of the choice of the method to estimate PE. Our results show that all methods present similar future trends. No method really stands out from the others.
H. E. Markus Meier, Madline Kniebusch, Christian Dieterich, Matthias Gröger, Eduardo Zorita, Ragnar Elmgren, Kai Myrberg, Markus P. Ahola, Alena Bartosova, Erik Bonsdorff, Florian Börgel, Rene Capell, Ida Carlén, Thomas Carlund, Jacob Carstensen, Ole B. Christensen, Volker Dierschke, Claudia Frauen, Morten Frederiksen, Elie Gaget, Anders Galatius, Jari J. Haapala, Antti Halkka, Gustaf Hugelius, Birgit Hünicke, Jaak Jaagus, Mart Jüssi, Jukka Käyhkö, Nina Kirchner, Erik Kjellström, Karol Kulinski, Andreas Lehmann, Göran Lindström, Wilhelm May, Paul A. Miller, Volker Mohrholz, Bärbel Müller-Karulis, Diego Pavón-Jordán, Markus Quante, Marcus Reckermann, Anna Rutgersson, Oleg P. Savchuk, Martin Stendel, Laura Tuomi, Markku Viitasalo, Ralf Weisse, and Wenyan Zhang
Earth Syst. Dynam., 13, 457–593, https://doi.org/10.5194/esd-13-457-2022, https://doi.org/10.5194/esd-13-457-2022, 2022
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Based on the Baltic Earth Assessment Reports of this thematic issue in Earth System Dynamics and recent peer-reviewed literature, current knowledge about the effects of global warming on past and future changes in the climate of the Baltic Sea region is summarised and assessed. The study is an update of the Second Assessment of Climate Change (BACC II) published in 2015 and focuses on the atmosphere, land, cryosphere, ocean, sediments, and the terrestrial and marine biosphere.
Erika Médus, Emma D. Thomassen, Danijel Belušić, Petter Lind, Peter Berg, Jens H. Christensen, Ole B. Christensen, Andreas Dobler, Erik Kjellström, Jonas Olsson, and Wei Yang
Nat. Hazards Earth Syst. Sci., 22, 693–711, https://doi.org/10.5194/nhess-22-693-2022, https://doi.org/10.5194/nhess-22-693-2022, 2022
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We evaluate the skill of a regional climate model, HARMONIE-Climate, to capture the present-day characteristics of heavy precipitation in the Nordic region and investigate the added value provided by a convection-permitting model version. The higher model resolution improves the representation of hourly heavy- and extreme-precipitation events and their diurnal cycle. The results indicate the benefits of convection-permitting models for constructing climate change projections over the region.
Ida Karlsson Seidenfaden, Torben Obel Sonnenborg, Jens Christian Refsgaard, Christen Duus Børgesen, Jørgen Eivind Olesen, and Dennis Trolle
Hydrol. Earth Syst. Sci., 26, 955–973, https://doi.org/10.5194/hess-26-955-2022, https://doi.org/10.5194/hess-26-955-2022, 2022
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This study investigates how the spatial nitrate reduction in the subsurface may shift under changing climate and land use conditions. This change is investigated by comparing maps showing the spatial nitrate reduction in an agricultural catchment for current conditions, with maps generated for future projected climate and land use conditions. Results show that future climate flow paths may shift the catchment reduction noticeably, while implications of land use changes were less substantial.
Anna Rutgersson, Erik Kjellström, Jari Haapala, Martin Stendel, Irina Danilovich, Martin Drews, Kirsti Jylhä, Pentti Kujala, Xiaoli Guo Larsén, Kirsten Halsnæs, Ilari Lehtonen, Anna Luomaranta, Erik Nilsson, Taru Olsson, Jani Särkkä, Laura Tuomi, and Norbert Wasmund
Earth Syst. Dynam., 13, 251–301, https://doi.org/10.5194/esd-13-251-2022, https://doi.org/10.5194/esd-13-251-2022, 2022
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A natural hazard is a naturally occurring extreme event with a negative effect on people, society, or the environment; major events in the study area include wind storms, extreme waves, high and low sea level, ice ridging, heavy precipitation, sea-effect snowfall, river floods, heat waves, ice seasons, and drought. In the future, an increase in sea level, extreme precipitation, heat waves, and phytoplankton blooms is expected, and a decrease in cold spells and severe ice winters is anticipated.
H. E. Markus Meier, Christian Dieterich, Matthias Gröger, Cyril Dutheil, Florian Börgel, Kseniia Safonova, Ole B. Christensen, and Erik Kjellström
Earth Syst. Dynam., 13, 159–199, https://doi.org/10.5194/esd-13-159-2022, https://doi.org/10.5194/esd-13-159-2022, 2022
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In addition to environmental pressures such as eutrophication, overfishing and contaminants, climate change is believed to have an important impact on the marine environment in the future, and marine management should consider the related risks. Hence, we have compared and assessed available scenario simulations for the Baltic Sea and found considerable uncertainties of the projections caused by the underlying assumptions and model biases, in particular for the water and biogeochemical cycles.
Ole Bøssing Christensen, Erik Kjellström, Christian Dieterich, Matthias Gröger, and Hans Eberhard Markus Meier
Earth Syst. Dynam., 13, 133–157, https://doi.org/10.5194/esd-13-133-2022, https://doi.org/10.5194/esd-13-133-2022, 2022
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The Baltic Sea Region is very sensitive to climate change, whose impacts could easily exacerbate biodiversity stress from society and eutrophication of the Baltic Sea. Therefore, there has been a focus on estimations of future climate change and its impacts in recent research. Models show a strong warming, in particular in the north in winter. Precipitation is projected to increase in the whole region apart from the south during summer. New results improve estimates of future climate change.
Ruud T. W. L. Hurkmans, Bart van den Hurk, Maurice J. Schmeits, Fredrik Wetterhall, and Ilias G. Pechlivanidis
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-604, https://doi.org/10.5194/hess-2021-604, 2022
Manuscript not accepted for further review
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Seasonal forecasts can help in safely and efficiently managing a fresh water reservoir in the Netherlands. We compare hydrological forecast systems of the river Rhine, the lakes most important source and analyze forecast skill for over 1993–2016 and for specific extreme years. On average, forecast skill is high in spring due to Alpine snow and smaller in summer. Dry summers appear to be more predictable, skill increases with event extremity. In those cases, seasonal forecasts are valuable tools.
Marcus Reckermann, Anders Omstedt, Tarmo Soomere, Juris Aigars, Naveed Akhtar, Magdalena Bełdowska, Jacek Bełdowski, Tom Cronin, Michał Czub, Margit Eero, Kari Petri Hyytiäinen, Jukka-Pekka Jalkanen, Anders Kiessling, Erik Kjellström, Karol Kuliński, Xiaoli Guo Larsén, Michelle McCrackin, H. E. Markus Meier, Sonja Oberbeckmann, Kevin Parnell, Cristian Pons-Seres de Brauwer, Anneli Poska, Jarkko Saarinen, Beata Szymczycha, Emma Undeman, Anders Wörman, and Eduardo Zorita
Earth Syst. Dynam., 13, 1–80, https://doi.org/10.5194/esd-13-1-2022, https://doi.org/10.5194/esd-13-1-2022, 2022
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As part of the Baltic Earth Assessment Reports (BEAR), we present an inventory and discussion of different human-induced factors and processes affecting the environment of the Baltic Sea region and their interrelations. Some are naturally occurring and modified by human activities, others are completely human-induced, and they are all interrelated to different degrees. The findings from this study can largely be transferred to other comparable marginal and coastal seas in the world.
Paul Royer-Gaspard, Vazken Andréassian, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 25, 5703–5716, https://doi.org/10.5194/hess-25-5703-2021, https://doi.org/10.5194/hess-25-5703-2021, 2021
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Most evaluation studies based on the differential split-sample test (DSST) endorse the consensus that rainfall–runoff models lack climatic robustness. In this technical note, we propose a new performance metric to evaluate model robustness without applying the DSST and which can be used with a single hydrological model calibration. Our work makes it possible to evaluate the temporal transferability of any hydrological model, including uncalibrated models, at a very low computational cost.
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.
Alexis Jeantet, Hocine Henine, Cédric Chaumont, Lila Collet, Guillaume Thirel, and Julien Tournebize
Hydrol. Earth Syst. Sci., 25, 5447–5471, https://doi.org/10.5194/hess-25-5447-2021, https://doi.org/10.5194/hess-25-5447-2021, 2021
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The hydrological subsurface drainage model SIDRA-RU is assessed at the French national scale, using a unique database representing the large majority of the French drained areas. The model is evaluated following its capacity to simulate the drainage discharge variability and the annual drained water balance. Eventually, the temporal robustness of SIDRA-RU is assessed to demonstrate the utility of this model as a long-term management tool.
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.
Pierre Nicolle, Vazken Andréassian, Paul Royer-Gaspard, Charles Perrin, Guillaume Thirel, Laurent Coron, and Léonard Santos
Hydrol. Earth Syst. Sci., 25, 5013–5027, https://doi.org/10.5194/hess-25-5013-2021, https://doi.org/10.5194/hess-25-5013-2021, 2021
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In this note, a new method (RAT) is proposed to assess the robustness of hydrological models. The RAT method is particularly interesting because it does not require multiple calibrations (it is therefore applicable to uncalibrated models), and it can be used to determine whether a hydrological model may be safely used for climate change impact studies. Success at the robustness assessment test is a necessary (but not sufficient) condition of model robustness.
Simon Ricard, Philippe Lucas-Picher, and François Anctil
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-451, https://doi.org/10.5194/hess-2021-451, 2021
Revised manuscript not accepted
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We propose a simplified hydroclimatic modelling workflow for producing hydrologic scenarios without resorting to meteorological observations. This innovative approach preserves trends and physical consistency between simulated climate variables, allows the implementation of modelling cascades despite observation scarcity, and supports the participation of end-users in producing and interpreting climate change impacts on water resources.
Paul C. Astagneau, Guillaume Thirel, Olivier Delaigue, Joseph H. A. Guillaume, Juraj Parajka, Claudia C. Brauer, Alberto Viglione, Wouter Buytaert, and Keith J. Beven
Hydrol. Earth Syst. Sci., 25, 3937–3973, https://doi.org/10.5194/hess-25-3937-2021, https://doi.org/10.5194/hess-25-3937-2021, 2021
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The R programming language has become an important tool for many applications in hydrology. In this study, we provide an analysis of some of the R tools providing hydrological models. In total, two aspects are uniformly investigated, namely the conceptualisation of the models and the practicality of their implementation for end-users. These comparisons aim at easing the choice of R tools for users and at improving their usability for hydrology modelling to support more transferable research.
Katja Weigel, Lisa Bock, Bettina K. Gier, Axel Lauer, Mattia Righi, Manuel Schlund, Kemisola Adeniyi, Bouwe Andela, Enrico Arnone, Peter Berg, Louis-Philippe Caron, Irene Cionni, Susanna Corti, Niels Drost, Alasdair Hunter, Llorenç Lledó, Christian Wilhelm Mohr, Aytaç Paçal, Núria Pérez-Zanón, Valeriu Predoi, Marit Sandstad, Jana Sillmann, Andreas Sterl, Javier Vegas-Regidor, Jost von Hardenberg, and Veronika Eyring
Geosci. Model Dev., 14, 3159–3184, https://doi.org/10.5194/gmd-14-3159-2021, https://doi.org/10.5194/gmd-14-3159-2021, 2021
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This work presents new diagnostics for the Earth System Model Evaluation Tool (ESMValTool) v2.0 on the hydrological cycle, extreme events, impact assessment, regional evaluations, and ensemble member selection. The ESMValTool v2.0 diagnostics are developed by a large community of scientists aiming to facilitate the evaluation and comparison of Earth system models (ESMs) with a focus on the ESMs participating in the Coupled Model Intercomparison Project (CMIP).
Jonas Olsson, Peter Berg, and Remco van de Beek
Adv. Sci. Res., 18, 59–64, https://doi.org/10.5194/asr-18-59-2021, https://doi.org/10.5194/asr-18-59-2021, 2021
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We have developed a tool to visualize rainfall observations, based on a combination of meteorological stations and weather radars, over Sweden in near real-time. By accumulating the rainfall in time (1–12 h) and space (hydrological basins), the tool is designed mainly for hydrological applications, e.g. to support flood forecasters and to facilitate post-event analyses. Despite evident uncertainties, different users have confirmed an added value of the tool in case studies.
Peter Berg, Fredrik Almén, and Denica Bozhinova
Earth Syst. Sci. Data, 13, 1531–1545, https://doi.org/10.5194/essd-13-1531-2021, https://doi.org/10.5194/essd-13-1531-2021, 2021
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HydroGFD3.0 (Hydrological Global Forcing Data) is a data set of daily precipitation and temperature intended for use in hydrological modelling. The method uses different observational data sources to correct the variables from a model estimation of precipitation and temperature. An openly available data set covers the years 1979–2019, and times after this are available by request.
Cristina Aguilar, Rafael Pimentel, and María J. Polo
Earth Syst. Sci. Data, 13, 1335–1359, https://doi.org/10.5194/essd-13-1335-2021, https://doi.org/10.5194/essd-13-1335-2021, 2021
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This work presents the reconstruction of 19 years of daily, monthly, and annual global radiation maps in Sierra Nevada (Spain) derived using daily historical records from weather stations in the area and a modeling scheme that captures the topographic effects that constitute the main sources of the spatial and temporal variability of solar radiation. The generated datasets are valuable in different fields, such as hydrology, ecology, or energy production systems downstream.
Martin Le Mesnil, Roger Moussa, Jean-Baptiste Charlier, and Yvan Caballero
Hydrol. Earth Syst. Sci., 25, 1259–1282, https://doi.org/10.5194/hess-25-1259-2021, https://doi.org/10.5194/hess-25-1259-2021, 2021
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We present an innovative approach consisting of the statistical analysis and comparison of 15 hydrological descriptors, characterizing catchment response to rainfall events. The distribution of these descriptors is analysed according to the occurrence of karst areas inside 108 catchments. It shows that karst impacts on storm events mainly result in river losses and that interbasin groundwater flows can represent a significant part of the catchment water budget ah the event timescale.
Marc Girons Lopez, Louise Crochemore, and Ilias G. Pechlivanidis
Hydrol. Earth Syst. Sci., 25, 1189–1209, https://doi.org/10.5194/hess-25-1189-2021, https://doi.org/10.5194/hess-25-1189-2021, 2021
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The Swedish hydrological warning service is extending its use of seasonal forecasts, which requires an analysis of the available methods. We evaluate the simple ESP method and find out how and why forecasts vary in time and space. We find that forecasts are useful up to 3 months into the future, especially during winter and in northern Sweden. They tend to be good in slow-reacting catchments and bad in flashy and highly regulated ones. We finally link them with areas of similar behaviour.
Laurène J. E. Bouaziz, Fabrizio Fenicia, Guillaume Thirel, Tanja de Boer-Euser, Joost Buitink, Claudia C. Brauer, Jan De Niel, Benjamin J. Dewals, Gilles Drogue, Benjamin Grelier, Lieke A. Melsen, Sotirios Moustakas, Jiri Nossent, Fernando Pereira, Eric Sprokkereef, Jasper Stam, Albrecht H. Weerts, Patrick Willems, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 25, 1069–1095, https://doi.org/10.5194/hess-25-1069-2021, https://doi.org/10.5194/hess-25-1069-2021, 2021
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We quantify the differences in internal states and fluxes of 12 process-based models with similar streamflow performance and assess their plausibility using remotely sensed estimates of evaporation, snow cover, soil moisture and total storage anomalies. The dissimilarities in internal process representation imply that these models cannot all simultaneously be close to reality. Therefore, we invite modelers to evaluate their models using multiple variables and to rely on multi-model studies.
Manon Cassagnole, Maria-Helena Ramos, Ioanna Zalachori, Guillaume Thirel, Rémy Garçon, Joël Gailhard, and Thomas Ouillon
Hydrol. Earth Syst. Sci., 25, 1033–1052, https://doi.org/10.5194/hess-25-1033-2021, https://doi.org/10.5194/hess-25-1033-2021, 2021
Roberto Bilbao, Simon Wild, Pablo Ortega, Juan Acosta-Navarro, Thomas Arsouze, Pierre-Antoine Bretonnière, Louis-Philippe Caron, Miguel Castrillo, Rubén Cruz-García, Ivana Cvijanovic, Francisco Javier Doblas-Reyes, Markus Donat, Emanuel Dutra, Pablo Echevarría, An-Chi Ho, Saskia Loosveldt-Tomas, Eduardo Moreno-Chamarro, Núria Pérez-Zanon, Arthur Ramos, Yohan Ruprich-Robert, Valentina Sicardi, Etienne Tourigny, and Javier Vegas-Regidor
Earth Syst. Dynam., 12, 173–196, https://doi.org/10.5194/esd-12-173-2021, https://doi.org/10.5194/esd-12-173-2021, 2021
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This paper presents and evaluates a set of retrospective decadal predictions with the EC-Earth3 climate model. These experiments successfully predict past changes in surface air temperature but show poor predictive capacity in the subpolar North Atlantic, a well-known source region of decadal climate variability. The poor predictive capacity is linked to an initial shock affecting the Atlantic Ocean circulation, ultimately due to a suboptimal representation of the Labrador Sea density.
Aslak Grinsted and Jens Hesselbjerg Christensen
Ocean Sci., 17, 181–186, https://doi.org/10.5194/os-17-181-2021, https://doi.org/10.5194/os-17-181-2021, 2021
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As we warm our planet, oceans expand, ice on land melts, and sea levels rise. On century timescales, we find that the sea level response to warming can be characterized by a single metric: the transient sea level sensitivity. Historical sea level exhibits substantially higher sensitivity than model-based estimates of future climates in authoritative climate assessments, implying recent projections could well underestimate the likely sea level rise by the end of this century.
Torben Schmith, Peter Thejll, Peter Berg, Fredrik Boberg, Ole Bøssing Christensen, Bo Christiansen, Jens Hesselbjerg Christensen, Marianne Sloth Madsen, and Christian Steger
Hydrol. Earth Syst. Sci., 25, 273–290, https://doi.org/10.5194/hess-25-273-2021, https://doi.org/10.5194/hess-25-273-2021, 2021
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European extreme precipitation is expected to change in the future; this is based on climate model projections. But, since climate models have errors, projections are uncertain. We study this uncertainty in the projections by comparing results from an ensemble of 19 climate models. Results can be used to give improved estimates of future extreme precipitation for Europe.
Matteo Giuliani, Louise Crochemore, Ilias Pechlivanidis, and Andrea Castelletti
Hydrol. Earth Syst. Sci., 24, 5891–5902, https://doi.org/10.5194/hess-24-5891-2020, https://doi.org/10.5194/hess-24-5891-2020, 2020
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This paper aims at quantifying the value of hydroclimatic forecasts in terms of potential economic benefit to end users in the Lake Como basin (Italy), which allows the inference of a relation between gains in forecast skill and gains in end user profit. We also explore the sensitivity of this benefit to both the forecast system setup and end user behavioral factors, showing that the estimated forecast value is potentially undermined by different levels of end user risk aversion.
Renate Anna Irma Wilcke, Erik Kjellström, Changgui Lin, Daniela Matei, Anders Moberg, and Evangelos Tyrlis
Earth Syst. Dynam., 11, 1107–1121, https://doi.org/10.5194/esd-11-1107-2020, https://doi.org/10.5194/esd-11-1107-2020, 2020
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Two long-lasting high-pressure systems in summer 2018 led to heat waves over Scandinavia and an extended summer period with devastating impacts on both agriculture and human life. Using five climate model ensembles, the unique 263-year Stockholm temperature time series and a composite 150-year time series for the whole of Sweden, we found that anthropogenic climate change has strongly increased the probability of a warm summer, such as the one observed in 2018, occurring in Sweden.
Valentin Dall'Alba, Philippe Renard, Julien Straubhaar, Benoit Issautier, Cédric Duvail, and Yvan Caballero
Hydrol. Earth Syst. Sci., 24, 4997–5013, https://doi.org/10.5194/hess-24-4997-2020, https://doi.org/10.5194/hess-24-4997-2020, 2020
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Due to climate and population evolution, increased pressure is put on the groundwater resource, which calls for better understanding and models. In this paper, we describe a novel workflow to model the geological heterogeneity of coastal aquifers and apply it to the Roussillon plain (southern France). The main strength of the workflow is its capability to model aquifer heterogeneity when only sparse data are available while honoring the local geological trends and quantifying uncertainty.
Cited articles
Aguilar, C. and Polo, M. J.: Generating reference evapotranspiration surfaces from the Hargreaves equation at watershed scale, Hydrol. Earth Syst. Sci., 15, 2495–2508, https://doi.org/10.5194/hess-15-2495-2011, 2011.
Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and
Rasmussen, J.: An introduction to the European Hydrological System – Systeme
Hydrologique Europeen, SHE. 2 Structure of a physically-based distributed
modelling system, J. Hydrol., 87, 61–77, 1986.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large-area
hydrologic modeling and assessment: Part I. Model development, J. Am. Water Resour. Assoc., 34,
73–89, 1998.
Ayyub, B. M.: Elicitation of Expert Opinion for Uncertainty and Risks, CRC
Press, LLC, FL, ISBN 9780849310874, 2001.
Bamber, J. L. and Aspinall, W. P.: An expert judgement assessment of future
sea level rise from the ice sheets, Nature Clim. Change, 3, 424–427, 2013.
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing
area model of basin hydrology/Un modèle à base physique de zone
d'appel variable de l'hydrologie du bassin versant, Hydrol. Sci. Bull.,
24, 43–69, https://doi.org/10.1080/02626667909491834, 1979.
Boer, G. J., Smith, D. M., Cassou, C., Doblas-Reyes, F., Danabasoglu, G., Kirtman, B., Kushnir, Y., Kimoto, M., Meehl, G. A., Msadek, R., Mueller, W. A., Taylor, K. E., Zwiers, F., Rixen, M., Ruprich-Robert, Y., and Eade, R.: The Decadal Climate Prediction Project (DCPP) contribution to CMIP6, Geosci. Model Dev., 9, 3751–3777, https://doi.org/10.5194/gmd-9-3751-2016, 2016.
Bonano, E. J., Hora, S. C., Keeney, R. L., and von Winterfeldt, D.: Elicitation
and use of expert judgment in performance assessment for high-level
radioactive waste repositories, NUREG/CR-5411, U.S. Nucl. Regul. Comm.,
Washington, D.C., 1989.
Brasseur, G. P. and Gallardo, L.: Climate services: Lessons learned and
future prospects, Earth's Future, 4, 79–89, https://doi.org/10.1002/2015EF000338, 2016.
Broderick, C., Matthews, T., Wilby, R. L., Bastola, S., and Murphy, C.:
Transferability of hydrological models and ensemble averaging methods
between contrasting climatic periods, Water Resour. Res., 52, 8343–8373,
2016.
Brugnach, M., Henriksen, H. J., van der Keur, P. and Mysiak, J. (Eds.):
Uncertainty in adaptive water management, Concepts and guidelines, NeWater,
University of Osnabrück, Germany, 2009.
Burgess, M. G., Ritchie, J., Shapland, J., and. Pielke Jr., R.:
IPCC baseline scenarios have over-projected CO2 emissions and economic growth,
Environ. Res. Lett., 16, 014016,
https://doi.org/10.1088/1748-9326/abcdd2, 2021.
Casanueva, A., Kotlarski, S., Herrera, S., Fernández, J., Gutiérrez,
J. M., Boberg, F., Colette, A., Christensen, O. B., Goergen, K., Jacob, D.,
Keuler, K., Nikulin, G., Teichmann, C., and Vautard, R.: Daily precipitation
statistics in a EURO-CORDEX RCM ensemble: added value of raw and
bias-corrected high-resolution simulations, Clim. Dyn., 47, 719–737,
2016.
Chauveau, M., Chazot, S., Perrin, C., Bourgin, P. Y., Eric, S., Vidal, J.
P., Rouchy, N., Martin, E., David, J., Norotte, T., Maugis, P., and Lacaze,
X.: What will be the impacts of climate change on surface hydrology
in France by 2070?, La Houille Blanche, 1–15, https://doi.org/10.1051/lhb/2013027, 2013.
Chen, J., Brissette, F. P., Lucas-Picher, P., and Caya, D.: Impacts of
weighting climate models for hydro-meteorological climate change studies, J.
Hydrol., 549, 534–546, 2017.
Christensen, J. H., Kjellström, E., Giorgi, F., Lenderink, G., and
Rummukainen, M.: Weight assignment in regional climate models, Clim. Res.,
44, 179–194, https://doi.org/10.3354/cr00916, 2010.
Christensen, J. H., Larsen, M. A. D., Christensen, O. B., Drews, M., and Stendel,
M.: Robustness of European Climate Projections from Dynamical Downscaling,
Clim. Dyn., 53, 4857–4869, https://doi.org/10.1007/s00382-019-04831-z, 2019.
Christierson, B. V., Vidal, J. P., and Wade, S. D.: Using UKCP09
probabilistic climate information for UK water resource planning, J.
Hydrol., 424–425, 48–67, https://doi.org/10.1016/j.jhydrol.2011.12.020, 2012.
Clark, M. P., Wilby R. L., Gutmann E. D., Vano, J. A., Gangopadhyay, S.,
Wood, A. W., Fowler, H. J., Prudhomme, C., Arnold, J. R., and Brekke, L. D.:
Characterizing uncertainty of the hydrologic impacts of climate change,
Current Climate Change Report, 2, 55, https://doi.org/10.1007/s40641-016-0034-x, 2016.
Collins, M.: Still weighting to break the model democracy, Geophys. Res.
Lett., 44, 3328–3329, https://doi.org/10.1002/2017GL073370, 2017.
Cooke, R. M. and Probst, K. N.: Highlights of the Expert Judgement Policy
Symposium and Technical Workshop, in Conference Summary, Washington,
D. C.,
https://media.rff.org/documents/Conference-Summary.pdf (last access: 29 October 2022), 2006.
Curiel-Esparza, J., Cuenca-Ruiz, M. A., Martin-Utrillas, M., and Canto-Perello,
J.: Selecting a sustainable disinfection technique for wastewater reuse
projects, Water, 6, 2732–2747, https://doi.org/10.3390/w6092732, 2014.
Dankers, R., Arnell, N. W., Clark, D. B., Falloon, P. D., Fekete, B. M.,
Gosling, S. N., Heinke, J., Kim, H., Masaki, Y., Satoh, Y., Stacke, T., Wada, Y.,
and Wisser, D.: First look at changes in flood hazard in the Inter-Sectoral
Impact Model Intercomparison Project ensemble, P. Natl. Acad. Sci., 111, 3257–3261, 2014.
Dessai, S., Conway, D., Bhave, A. G., and Garcia-Carreras, L.: Building
narratives to characterize uncertainty in regional climate change through
expert elicitation, Environ. Res. Lett., 13, 074005,
https://doi.org/10.1088/1748-9326/aabcdd, 2018.
Donat, M. G., Pitman, A. J., and Angélil, O.: Understanding and Reducing
Future Uncertainty in Midlatitude Daily Heat Extremes Via Land Surface
Feedback Constraints, Geophys. Res. Lett., 45, 10627–10636, 2018.
Giuntoli, I., Vidal, J.-P., Prudhomme, C., and Hannah, D. M.: Future hydrological extremes: the uncertainty from multiple global climate and global hydrological models, Earth Syst. Dynam., 6, 267–285, https://doi.org/10.5194/esd-6-267-2015, 2015.
Goossens, L. H. J. and Cooke, R. M.: Expert judgement elicitation in risk
assessment, in: Assessment and Management of Environmental Risks, edited by: Linkov, I. and Palma-Oliveria, J., NATO Science Series, vol 4. Springer, Dordrecht, https://doi.org/10.1007/978-94-010-0987-4_45, 2001.
Graham, D. N. and Butts M. B.: Flexible, integrated watershed modelling with
MIKE SHE, in: Watershed Models, edited by: Singh, V. P. and Frevert, D. K.,
CRC Press, ISBN 0849336090, 245–272, 2005.
Grainger, S., Dessai, S., Daron, J., Taylor, A., and Siu, Y. L.: Using
expert elicitation to strengthen future regional climate information for
climate services, Climate Services, 26, 100278, https://doi.org/10.1016/j.cliser.2021.100278, 2022.
Green, W. H. and Ampt, G. A.: Studies in soil physics: I. The flow of air
and water through soils, J. Agric. Sci., 4, 1–24, 1911.
Hall, A., Cox, P. M., Huntingford, C., and Williamson, M. S.: Emergent
constraint on equilibrium climate sensitivity from global temperature
variability, Nature, 553, 319–322, 2018.
Hall, A., Cox, P., Huntingford, C., and Klein, S.: Progressing emergent
constraints on future climate change, Nature Clim. Change, 9, 269–278, https://doi.org/10.1038/s41558-019-0436-6, 2019.
Hattermann, F. F., Krysanova, V., Gosling, S. N., Dankers, R., Daggupati, P., Donnelly, C., Flörke, M., Huang, S., Motovilov, Y., Buda, S., Yang, T., Müller, G. Leng, Q. Tang, F. T. Portmann, S. Hagemann, D. Gerten, Y. Wada, Y. Masaki, C., Alemayehu, T., Satoh, Y., and Samaniego, L.: Cross-scale
intercomparison of climate change impacts simulated by regional and global
hydrological models in eleven large river basins, Clim. Change, 141,
561–576, 2017.
Haughton, N., Abramowitz, G., Pitman, A., and Phipps, S. J.: Weighting
climate model ensembles for mean and variance estimates, Clim. Dyn., 45,
3169–3181, 2015.
Hazeleger, W., van den Hurk, B. J. J. M., Min, E., van Oldenborgh, G. J.,
Petersen, A. C., Stainforth, D. A., Vasileiadou, E., and Smith, L. A.: Tales
of future weather, Nature Clim. Change, 5, 107–113,
2015.
Herrera, S., Kotlarski, S., Soares, P. M., Cardoso, R. M., Jaczewski, A.,
Gutiérrez, J. M., and Maraun, D.: Uncertainty in gridded precipitation
products: Influence of station density, interpolation method and grid
resolution, Int. J. Climat., 39, 3717–3729, 2019.
Herrero, J., Polo, M. J., Monino, A., and Losada, M. A.: An energy balance
snowmelt model in a Mediterranean site, J. Hydrol, 371, 98–107, 2009.
Hewitt, C. D.: The ENSEMBLES project: providing ensemble-based predictions
of climate changes and their impacts, EGGS Newslett, 13, 22–25, 2005.
Horton, B. P., Khan, N. S., Cahill, N., Lee, J. S. H., Shaw, T. A., Garner, A. J., Kemp, A. C., Engelhart, S. E., and Rahmstorf, S.: Estimating global mean
sea-level rise and its uncertainties by 2100 and 2300 from an expert survey,
npj Clim. Atmos. Sci., 3, 18, https://doi.org/10.1038/s41612-020-0121-5, 2020.
Hourdin, F., Mauritsen, T., Gettelman, A., Golaz, J. C., Balaji, V., Duan, Q.,
Folini, D., Ji, D., Klocke, D., Qian, Y., Rauser, F., Rio, C., Tomassini, L.,
Watanabe, M., and Williamson, D.: The art and science of model tuning, B. Am. Meteorol. Soc., 98, 589–602, https://doi.org/10.1175/BAMS-D-15-00135.1, 2017.
Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O.B., Bouwer,
L.M., Braun, A., Colette, A., Deìqueì, M., Georgievski, G., Georgopoulou,
E., Gobiet, A., Menut, L., Nikulin, G., Haensler, A., Hempelmann, N., Jones,
C., Keuler, K., Kovats, S., Kröner, N., Kotlarski, S.,
Kriegsmann, A., Martin, E., van Meijgaard, E., Moseley, C., Pfeifer, S.,
Preuschmann, S., Radermacher, C., Radtke, K., Rechid, D., Rounsevell, M.,
Samuelsson, P., Somot, S., Soussana, J.-F., Teichmann, C., Valentini, R.,
Vautard, R., and Weber, B.: EUROCORDEX: New high-resolution climate change
projections for European impact research, Reg. Environ.
Change., 14, 563–578, https://doi.org/10.1007/s10113-013-0499-2, 2014.
Jacobs, K. L. and Street, R. B.: The next generation of climate
services, Climate Services, 20, 100199,
https://doi.org/10.1016/j.cliser.2020.100199, 2020.
Karlsson, I. B., Sonnenborg, T. O., Refsgaard, J. C., Trolle, D.,
Børgesen, C. D., Olesen, J. E., Jeppesen, E., and Jensen, K. H.: Combined
effects of climate models, hydrological model structures and land use
scenarios on hydrological impacts of climate change, J. Hydrol., 535,
301–317, https://doi.org/10.1016/j.jhydrol.2016.01.069, 2016.
Kiesel, J., Stanzel, P., Kling, H., Fohrer, N., Jähnig, S. C., and
Pechlivanidis, I.: Streamflow-based evaluation of climate model
sub-selection methods, Climatic Change, 163, 1267–1285,
https://doi.org/10.1007/s10584-020-02854-8, 2020.
Klein, R. J. T. and Juhola, S.: A framework for Nordic actor-oriented climate
adaptation research, Environ. Sci. Policy, 40, 101–115, 2014.
Knutti, R.: The end of model democracy?, Clim. Change, 102, 395–404,
https://doi.org/10.1007/s10584-010-9800-2, 2010.
Knutti, R., Masson, D., and Gettelman, A.: Climate model genealogy: Generation
CMIP5 and how we got there, Geophys. Res. Lett., 40, 1194–1199, https://doi.org/10.1002/grl.50256, 2013.
Kotlarski, S., Keuler, K., Christensen, O. B., Colette, A., Déqué, M., Gobiet, A., Goergen, K., Jacob, D., Lüthi, D., van Meijgaard, E., Nikulin, G., Schär, C., Teichmann, C., Vautard, R., Warrach-Sagi, K., and Wulfmeyer, V.: Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble, Geosci. Model Dev., 7, 1297–1333, https://doi.org/10.5194/gmd-7-1297-2014, 2014.
Kotlarski, S., Szabó, P., Herrera García, S., Räty, O., Keuler,
K., Soares, P. M. M., Cardoso, R., Bosshard, T., Page, C., Boberg, F.,
Gutiérrez, J., Isotta, F., Jaczewski, A., Kreienkamp, F., Liniger, M.,
Lussana, C., and Pianko-Kluczynska, K.: Observational uncertainty and
regional climate model evaluation: A pan-European perspective, Int.
J. Climat., 39, 3730–3749, https://doi.org/10.1002/joc.5249, 2017.
Krayer von Krauss, M., Casman, E. A., and Small, M. J.: Elicitation of expert
judgements of uncertainty in the risk assessment of herbicide-tolerant
oilseed crops, Risk Anal., 24, 1515–1527, 2004.
Kriegler, E., Hall, J. W., Held, H., Dawson R., and Schellnhuber, H. J.:
Imprecise probability assessment of tipping points in the climate system,
P. Natl. Acad. Sci., 106, 5041–5046, 2009.
Kristensen, K. J. and Jensen, S. E.: A model for estimating actual
evapotranspiration from potential evapotranspiration, Hydrol. Res., 6,
170–188, 1975.
Krysanova, V., Vetter, T., Eisner, S., Huang, S., Pechlivanidis, I., Strauch, M., Gelfan, A., Kumar, R., Aich, V., Arheimer, B., Chamorro, A., van Griensven, A., Kundu, D., Lobanova, A., Mishra, V., Plötner, S., Reinhardt, J., Seidou, O., Wang, X., Wortmann, M., Zeng, X., and Hattermann, F. F.: Intercomparison of
regional-scale hydrological models in the present and future climate for 12
large river basins worldwide – A synthesis, Environ. Res. Lett., 12, 105002,
https://doi.org/10.1088/1748-9326/aa8359, 2017.
Krysanova, V., Donnelly, C., Gelfan, A., Gerten, D., Arheimer, B.,
Hattermann, F., and Kundzewicz, Z. W.: How the performance of hydrological
models relates to credibility of projections under climate change,
Hydrol. Sci. J., 63, 696–720, https://doi.org/10.1080/02626667.2018.1446214, 2018.
Le Moine, N.: Le bassin versant de surface vu par le souterrain: une voie
d'amélioration des performances et du réalisme des modèles
pluie-débit? (Doctoral dissertation, Doctorat Géosciences et
Ressources Naturelles, Université Pierre et Marie Curie Paris VI), 2008.
Lindström, G., Pers, C., Rosberg, J., Strömqvist, J., and Arheimer,
B.: Development and testing of the HYPE (Hydrological Predictions for the
Environment) water quality model for different spatial scales, Hydrol. Res.,
41, 295–319, https://doi.org/10.2166/nh.2010.007, 2010.
Madsen, M. S., Langen, P. L., Boberg, F., and Christensen, J. H.: Inflated
uncertainty in multimodel-based regional climate projections, Geophys. Res.
Lett., 44, 11606–11613, https://doi.org/10.1002/2017GL075627, 2017.
Matte, D., Larsen, M. A. D., Christensen, O. B., and Christensen, J. H.:
Robustness and scalability of regional climate projections over Europe,
Front. Environ. Sci., 6, 163, https://doi.org/10.3389/fenvs.2018.00163, 2019.
McSweeney, C. F., Jones, R. G., Lee, R. W., and Rowell, D. P.: Selecting
CMIP5 GCMs for downscaling over multiple regions, Clim. Dynam., 44,
3237–3260, 2015.
Mearns, L. O., Bukovsky, M. S., and Schweizer, V. J.: Potential Value of
Expert Elicitation for Determining Differential Credibility of Regional
Climate Change Simulations: An Exercise with the NARCCAP co-PIs for the
southwest monsoon region of North America, B. Am.
Meteorol. Soc., 98, 29–35, https://doi.org/10.1175/BAMS-D-15-00019.1, 2017.
Meehl, G. A., Richter, J. H., Teng, H., Capotondi, A., Cob, K., Doblas-Reyes, F., Donat, M. G., England, M. H., Fyfe, J. C.,
Han, W., Kim, H., Kirtman, B. P., Kushnir, Y., Lovenduski, N. S.,
Mann, M. E., Merryfield, W. J., Nieves, V., Pegion, K., Rosenbloom, N.,
Sanchez, S. C., Scaife, A. A., Smith, D., Subramanian, A. C., Sun, L.,
Thompson, D., Ummenhofer, C. C., and Xie, S.-P.: Initialized Earth System
prediction from subseasonal to decadal timescales, Nat. Rev. Earth Environ., 2,
340–357, https://doi.org/10.1038/s43017-021-00155-x, 2021.
Meyer, M. A. and Booker, J. M.: Eliciting and Analyzing Expert Judgment: A
Practical Guide, ASA-SIAM Series on Statistics and Applied Probability, ISBN 978-0-89871-474-6,
2001.
Michel, C., Perrin, C., and Andreassian, V.: The exponential store: a correct
formulation for rainfall – runoff modelling, Hydrol. Sci. J.,
48, 109–124, https://doi.org/10.1623/hysj.48.1.109.43484, 2003.
Miller, G. A.: The magical number seven, plus or minus two: some limits on
our capacity for processing information, Psychol. Rev., 63, 81–97,
1956.
Mitchell, T. D. and Hulme, M.: Predicting regional climate change: living
with uncertainty, Prog. Phys. Geogr., 23, 57–78, 1999.
Monteith, J. L., Szeicz, G., and Yabuki, K.: Crop Photosynthesis and the Flux
of Carbon Dioxide Below the Canopy, J. Appl. Ecol., 1, 321–337, 1964.
Morgan, M. G. and Keith, D. W.: Climate-Change – Subjective Judgments by
Climate Experts, Environ. Sci. Technol., 29, A468–A476, 1995.
Morim, J., Hemer, M., Wang, X. L., Cartwright, N., Trenham, C., Semedo, A., Young, I., Bricheno, L., Camus, P., Casas-Prat, M., Erikson, L., Mentaschi, L., Mori, N., Shimura, T., Timmerman, B., Aarnes, O., Breivik, O., Behrens, A., Dobrynin, M., Menendez, M., Staneva, J., Wehner, M., Wolf, J., Kamranzad, B., Webb, A., Stopa, J., and Andutta, F.: Robustness and uncertainties in
global multivariate wind-wave climate projections, Nat. Clim. Chang., 9,
711–718, https://doi.org/10.1038/s41558-019-0542-5, 2019.
Neuman, S. P.: Maximum likelihood Bayesian averaging of uncertain model
predictions, Stoch. Env. Res. Risk A., 17,
291–305, https://doi.org/10.1007/s00477-003-0151-7, 2003.
Olsson, J., Arheimer, B., Borris, M., Donnelly, C., Foster, K., Nikulin, G.,
Persson, M., Perttu, A.-M., Uvo, C. B., Viklander, M., and Yang, W.:
Hydrological Climate Change Impact Assessment at Small and Large Scales: Key
Messages from Recent Progress in Sweden, Climate, 4, 39,
https://doi.org/10.3390/cli4030039, 2016.
Pechlivanidis, I. G., Jackson, B., McIntyre, N., and Wheater, H. S.:
Catchment scale hydrological modelling: A review of model types, calibration
approaches and uncertainty analysis methods in the context of recent
developments in technology and applications, Global NEST Journal, 13,
193–214, 2011.
Pechlivanidis, I. G., Arheimer, B., Donnelly, C., Hundecha, Y., Huang, S.,
Aich, V., Samaniego, L., Eisner, S., and Shi, P.: Analysis of hydrological extremes at different
hydro-climatic regimes under present and future conditions, Climatic Change,
141, 467–481, https://doi.org/10.1007/s10584-016-1723-0, 2017.
Pechlivanidis, I. G., Gupta, H., and Bosshard, T.: An Information Theory
Approach to Identifying a Representative Subset of Hydro-Climatic
Simulations for Impact Modeling Studies, Water Resour. Res., 54,
5422–5435, https://doi.org/10.1029/2017WR022035, 2018.
Penman, H. L.: Natural evaporation from open water, baresoil and grass,
P. Roy. Soc. London, 193, 120–145, 1948.
Pielke, R. and Ritchie, J.:
Distorting the view of our climate future: The misuse and abuse of climate pathways and scenarios,
Energy Research & Social Science,
72,
https://doi.org/10.1016/j.erss.2020.101890, 2021.
Polo, M. J., Herrero, J., Aguilar, C., Millares, A., Moñino, A., Nieto,
S., and Losada, M.: WiMMed, a distributed physically-based watershed model
(I): Description and validation, in Environmental Hydraulics: Theoretical,
Experimental & Computational Solutions, 225–228, CRC Press, United
States, 2009.
Perrin, C.: Vers une amélioration d'un modèle global pluie-débit
au travers d'une approche comparative, PhD Thesis, INPG, Grenoble, 530 pp.,
2000.
Perrin, C., Michel, C., and Andréassian, V.: Improvement of a
parsimonious model for streamflow simulation, J. Hydrol., 279, 275–289, https://doi.org/10.1016/S0022-1694(03)00225-7, 2003.
Pimentel, R., Herrero, J., and Polo, M. J.: Subgrid parameterization of snow distribution at a Mediterranean site using terrestrial photography, Hydrol. Earth Syst. Sci., 21, 805–820, https://doi.org/10.5194/hess-21-805-2017, 2017.
Refsgaard, J. C., Madsen, H., Andreassian, V., Arnbjerg-Nielsen, K.,
Davidson, T. A., Drews, M., Hamilton, D. P., Jeppesen, E., Kjellström,
E., Olesen, J. E., Sonnenborg, T. O., Trolle, D., Willems, P., and
Christensen, J. H.: A framework for testing the ability of models to project
climate change and its impacts, Climatic Change, 122, 271–282, 2014.
Risbey, J. S. and O'Kane, T. J.: Sources of knowledge and ignorance in
climate research, Climatic Change, 108, 755–773, 2011.
Samaniego, L., Kumar, R., Breuer, L., Chamorro, A., Flörke, M.,
Pechlivanidis, I. G., Schäfer, D., Shah, H., Vetter, T., Wortmann, M., and Zeng, X.: Propagation of forcing and model uncertainty
into hydrological drought characteristics in a multi-model century-long
experiment in continental river basins, Climatic Change, 141, 435–449,
https://doi.org/10.1007/s10584-016-1778-y, 2017.
Samuelsson, P., Jones, C., Willén, U., Ullerstig, A., Gollvik, S.,
Hansson, U., Jansson, C., Kjellström, E., Nikulin, G., and Wyser, K.: The
Rossby Centre Regional Climate Model RCA3: model description and
performance, Tellus, 63A, 4–23, https://doi.org/10.1111/j.1600-0870.2010.00478.x, 2011.
Schmitt, P. and van Well, L.: Territorial governance across Europe,
Pathways, practices and prospects, Routledge, London,
https://doi.org/10.4324/9781315716220, 2016.
Sebok, E., Refsgaard, J. C., Warmink, J. J., Stisen, S., and Jensen, K. H.:
Using expert elicitation to quantify catchment water balances and their
uncertainties, Water Resour. Res., 52, 5111–5131, 2016.
Seifert, D., Sonnenborg, T. O., Refsgaard, J. C., Højberg, A. L., and
Troldborg, L.: Assessment of hydrological model predictive ability given
multiple conceptual geological models, Water Resour. Res., 48, WR011149,
https://doi.org/10.1029/2011WR011149, 2012.
Stevens, B., Sherwood, S. C., Bony, S., and Webb, M. J.: Prospects for
narrowing bounds on Earth's equilibrium climate sensitivity, Earth's Future,
4, 512–522, 2016.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and the
experiment design, B. Am. Meteorol. Soc., 93,
485–498, https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.
Thompson, E., Frigg, R., and Helgeson, C.: Expert Judgment for Climate Change
Adaptation, Philosophy of Science, 83, 1110–1121, 2016.
Tversky, A. and Kahneman, D.: Judgment under Uncertainty: Heuristics and
Biases, Science, New Series, 185, 1124–1131, 1974.
Valéry, A., Andréassian, V., and Perrin, C.: As simple as possible
but not simpler: What is useful in a temperature-based snow-accounting
routine? Part 2 – Sensitivity analysis of the Cemaneige snow accounting
routine on 380 catchments, J. Hydrol., 517, 1176–1187,
https://doi.org/10.1016/j.jhydrol.2014.04.058, 2014.
Van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A.,
Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J. F., and Masui, T.:
The representative concentration pathways: an overview, Climatic Change,
109, 5, https://doi.org/10.1007/s10584-011-0148-z, 2011.
Vaughan, C. and Dessai, S.: Climate services for society: origins,
institutional arrangements, and design elements for an evaluation framework,
WIREs Clim Change, 5, 587–603, 2014.
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.
Warszawski, L., Frieler, K., Huber, V., Piontek, F., Serdeczny, O., and
Schewe, J.: The inter-sectoral impact model intercomparison project
(ISI–MIP): project framework, P. Natl. Acad. Sci., 111, 3228–3232, 2014.
Wilby, R. L. and Dessai, S.: Robust adaptation to climate change, Weather,
65, 180–185, https://doi.org/10.1002/wea.543, 2010.
Wilcke, R. and Bärring, L.: Selecting regional climate scenario for
impact modelling studies, Environ. Model. Softw., 78, 191–201,
https://doi.org/10.1016/j.envsoft.2016.01.002, 2016.
Yan, J. and Smith, K. R.: Simulation of integrated surface water and
groundwater systems – model formulation,
J. Am. Water Resour. As., 30, 879–890, 1994.
Ye, M., Pohlmann, K. F., and Chapman, J. B.: Expert elicitation of recharge
model probabilities for the Death Valley regional flow system, J. Hydrol.,
354, 102–115, 2008.
Zappa, G. and Shepherd, T. G.: Storylines of Atmospheric Circulation Change
for European Regional Climate Impact Assessment, J. Climate, 30,
6561–6577, 2017.
Short summary
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.
Hydrological models projecting the impact of changing climate carry a lot of uncertainty. Thus,...
