Articles | Volume 23, issue 11
https://doi.org/10.5194/hess-23-4419-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-4419-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Oct 2019
Research article |
| 30 Oct 2019
| 30 Oct 2019
Detection and attribution of flood trends in Mediterranean basins
HSM (Univ. Montpellier, CNRS, IRD), 300 Av. du Professeur Emile
Jeanbrau, 34090 Montpellier, France
Louise Mimeau
HSM (Univ. Montpellier, CNRS, IRD), 300 Av. du Professeur Emile
Jeanbrau, 34090 Montpellier, France
Luc Neppel
HSM (Univ. Montpellier, CNRS, IRD), 300 Av. du Professeur Emile
Jeanbrau, 34090 Montpellier, France
Freddy Vinet
GRED (Univ. Paul Valéry, IRD), 2 rue du Pr Henri Serres, 34000
Montpellier, France
Eric Sauquet
IRSTEA, UR RiverLy, Centre de Lyon-Villeurbanne, 5 rue de la Doua
CS 20244, 69625 Villeurbanne, France
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Yves Tramblay, Nathalie Rouché, Jean-Emmanuel Paturel, Gil Mahé, Jean-François Boyer, Ernest Amoussou, Ansoumana Bodian, Honoré Dacosta, Hamouda Dakhlaoui, Alain Dezetter, Denis Hughes, Lahoucine Hanich, Christophe Peugeot, Raphael Tshimanga, and Patrick Lachassagne
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Preprint withdrawn
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Eric Sauquet, Bastien Richard, Alexandre Devers, and Christel Prudhomme
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Pauline Rivoire, Yves Tramblay, Luc Neppel, Elke Hertig, and Sergio M. Vicente-Serrano
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Short summary
Short summary
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Clotilde Saint-Martin, Pierre Javelle, and Freddy Vinet
Earth Syst. Sci. Data, 10, 1019–1029, https://doi.org/10.5194/essd-10-1019-2018, https://doi.org/10.5194/essd-10-1019-2018, 2018
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DamaGIS is a GIS database which aims to collect and assess the severity of flood-related damage. The reason for creating this database is the lack of precise damage data available to calibrate and validate flood risk assessment models. To this end, DamaGIS offers highly precise and easily accessible flood-related damage data. It uses multiple sources such as social networks. Since 2011, 729 damages caused by 23 flood events in the south of France have been reported within the database.
Aurélien Beaufort, Nicolas Lamouroux, Hervé Pella, Thibault Datry, and Eric Sauquet
Hydrol. Earth Syst. Sci., 22, 3033–3051, https://doi.org/10.5194/hess-22-3033-2018, https://doi.org/10.5194/hess-22-3033-2018, 2018
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Streams which may stop flowing are poorly gauged. To improve their characterisation, we use an extended network providing monthly visual observations stating whether streams are flowing or not across France. These observations are combined with discharge and groundwater level in models to predict daily regional probability of drying. This approach allows identification of the most impacted regions by flow intermittence and estimation of the probability of drying dynamics over the last 27 years.
Gregor Laaha, Tobias Gauster, Lena M. Tallaksen, Jean-Philippe Vidal, Kerstin Stahl, Christel Prudhomme, Benedikt Heudorfer, Radek Vlnas, Monica Ionita, Henny A. J. Van Lanen, Mary-Jeanne Adler, Laurie Caillouet, Claire Delus, Miriam Fendekova, Sebastien Gailliez, Jamie Hannaford, Daniel Kingston, Anne F. Van Loon, Luis Mediero, Marzena Osuch, Renata Romanowicz, Eric Sauquet, James H. Stagge, and Wai K. Wong
Hydrol. Earth Syst. Sci., 21, 3001–3024, https://doi.org/10.5194/hess-21-3001-2017, https://doi.org/10.5194/hess-21-3001-2017, 2017
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In 2015 large parts of Europe were affected by a drought. In terms of low flow magnitude, a region around the Czech Republic was most affected, with return periods > 100 yr. In terms of deficit volumes, the drought was particularly severe around S. Germany where the event lasted notably long. Meteorological and hydrological events developed differently in space and time. For an assessment of drought impacts on water resources, hydrological data are required in addition to meteorological indices.
Laurie Caillouet, Jean-Philippe Vidal, Eric Sauquet, Alexandre Devers, and Benjamin Graff
Hydrol. Earth Syst. Sci., 21, 2923–2951, https://doi.org/10.5194/hess-21-2923-2017, https://doi.org/10.5194/hess-21-2923-2017, 2017
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Jean-Philippe Vidal, Benoît Hingray, Claire Magand, Eric Sauquet, and Agnès Ducharne
Hydrol. Earth Syst. Sci., 20, 3651–3672, https://doi.org/10.5194/hess-20-3651-2016, https://doi.org/10.5194/hess-20-3651-2016, 2016
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Possible transient futures of winter and summer low flows for two snow-influenced catchments in the southern French Alps show a strong decrease signal. It is however largely masked by the year-to-year variability, which should be the main target for defining adaptation strategies. Responses of different hydrological models strongly diverge in the future, suggesting to carefully check the robustness of evapotranspiration and snowpack components under a changing climate.
Laurie Caillouet, Jean-Philippe Vidal, Eric Sauquet, and Benjamin Graff
Clim. Past, 12, 635–662, https://doi.org/10.5194/cp-12-635-2016, https://doi.org/10.5194/cp-12-635-2016, 2016
Short summary
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This paper describes a daily high-resolution reconstruction of precipitation and temperature fields in France from 1871 onwards. A statistical method linking atmospheric circulation to local precipitation is refined for taking advantage of recently published global long-term atmospheric and oceanic reconstructions. The resulting data set allows filling in the spatial and temporal data gaps in historical surface observations, and improving our knowledge on the local-scale climate variability.
J. Hall, B. Arheimer, G. T. Aronica, A. Bilibashi, M. Boháč, O. Bonacci, M. Borga, P. Burlando, A. Castellarin, G. B. Chirico, P. Claps, K. Fiala, L. Gaál, L. Gorbachova, A. Gül, J. Hannaford, A. Kiss, T. Kjeldsen, S. Kohnová, J. J. Koskela, N. Macdonald, M. Mavrova-Guirguinova, O. Ledvinka, L. Mediero, B. Merz, R. Merz, P. Molnar, A. Montanari, M. Osuch, J. Parajka, R. A. P. Perdigão, I. Radevski, B. Renard, M. Rogger, J. L. Salinas, E. Sauquet, M. Šraj, J. Szolgay, A. Viglione, E. Volpi, D. Wilson, K. Zaimi, and G. Blöschl
Proc. IAHS, 370, 89–95, https://doi.org/10.5194/piahs-370-89-2015, https://doi.org/10.5194/piahs-370-89-2015, 2015
J. Hall, B. Arheimer, M. Borga, R. Brázdil, P. Claps, A. Kiss, T. R. Kjeldsen, J. Kriaučiūnienė, Z. W. Kundzewicz, M. Lang, M. C. Llasat, N. Macdonald, N. McIntyre, L. Mediero, B. Merz, R. Merz, P. Molnar, A. Montanari, C. Neuhold, J. Parajka, R. A. P. Perdigão, L. Plavcová, M. Rogger, J. L. Salinas, E. Sauquet, C. Schär, J. Szolgay, A. Viglione, and G. Blöschl
Hydrol. Earth Syst. Sci., 18, 2735–2772, https://doi.org/10.5194/hess-18-2735-2014, https://doi.org/10.5194/hess-18-2735-2014, 2014
K. Kochanek, B. Renard, P. Arnaud, Y. Aubert, M. Lang, T. Cipriani, and E. Sauquet
Nat. Hazards Earth Syst. Sci., 14, 295–308, https://doi.org/10.5194/nhess-14-295-2014, https://doi.org/10.5194/nhess-14-295-2014, 2014
Y. Tramblay, S. El Adlouni, and E. Servat
Nat. Hazards Earth Syst. Sci., 13, 3235–3248, https://doi.org/10.5194/nhess-13-3235-2013, https://doi.org/10.5194/nhess-13-3235-2013, 2013
S. Radanovics, J.-P. Vidal, E. Sauquet, A. Ben Daoud, and G. Bontron
Hydrol. Earth Syst. Sci., 17, 4189–4208, https://doi.org/10.5194/hess-17-4189-2013, https://doi.org/10.5194/hess-17-4189-2013, 2013
Y. Tramblay, D. Ruelland, S. Somot, R. Bouaicha, and E. Servat
Hydrol. Earth Syst. Sci., 17, 3721–3739, https://doi.org/10.5194/hess-17-3721-2013, https://doi.org/10.5194/hess-17-3721-2013, 2013
T. H. Snelder, T. Datry, N. Lamouroux, S. T. Larned, E. Sauquet, H. Pella, and C. Catalogne
Hydrol. Earth Syst. Sci., 17, 2685–2699, https://doi.org/10.5194/hess-17-2685-2013, https://doi.org/10.5194/hess-17-2685-2013, 2013
M. C. Llasat, M. Llasat-Botija, O. Petrucci, A. A. Pasqua, J. Rosselló, F. Vinet, and L. Boissier
Nat. Hazards Earth Syst. Sci., 13, 1337–1350, https://doi.org/10.5194/nhess-13-1337-2013, https://doi.org/10.5194/nhess-13-1337-2013, 2013
Related subject area
Subject: Global hydrology | Techniques and Approaches: Stochastic approaches
Deducing land–atmosphere coupling regimes from SMAP soil moisture
Novel extensions to the Fisher copula to model flood spatial dependence over North America
Assimilating ESA-CCI Land Surface Temperature into the ORCHIDEE Land Surface Model: Insights from a multi-site study across Europe
Non-asymptotic distributions of water extremes: Superlative or superfluous?
Revisiting the global hydrological cycle: is it intensifying?
Examining the relationship between intermediate-scale soil moisture and terrestrial evaporation within a semi-arid grassland
How streamflow has changed across Australia since the 1950s: evidence from the network of hydrologic reference stations
Investigation of hydrological time series using copulas for detecting catchment characteristics and anthropogenic impacts
Towards observation-based gridded runoff estimates for Europe
Historical land-use-induced evapotranspiration changes estimated from present-day observations and reconstructed land-cover maps
Detection of global runoff changes: results from observations and CMIP5 experiments
Rainfall statistics changes in Sicily
Spatial variability and its scale dependency of observed and modeled soil moisture over different climate regions
How extreme is extreme? An assessment of daily rainfall distribution tails
Impact of climate change on the stream flow of the lower Brahmaputra: trends in high and low flows based on discharge-weighted ensemble modelling
Climate model bias correction and the role of timescales
Streamflow trends in Europe: evidence from a dataset of near-natural catchments
Payal R. Makhasana, Joseph A. Santanello, Patricia M. Lawston-Parker, and Joshua K. Roundy
Hydrol. Earth Syst. Sci., 28, 5087–5106, https://doi.org/10.5194/hess-28-5087-2024, https://doi.org/10.5194/hess-28-5087-2024, 2024
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This study examines how soil moisture impacts land–atmosphere interactions, crucial for understanding Earth's water and energy cycles. The study used two different soil moisture datasets from the SMAP satellite to measure how strongly soil moisture influences the atmosphere's ability to retain moisture (called coupling strength). Leveraging SMAP soil moisture data and integrating multiple atmospheric datasets, the study offers new insights into the dynamics of land–atmosphere coupling strength.
Duy Anh Alexandre, Chiranjib Chaudhuri, and Jasmin Gill-Fortin
Hydrol. Earth Syst. Sci., 28, 5069–5085, https://doi.org/10.5194/hess-28-5069-2024, https://doi.org/10.5194/hess-28-5069-2024, 2024
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Estimating extreme river discharges at single stations is relatively simple. However, flooding is a spatial phenomenon as rivers are connected. We develop a statistical method to estimate extreme flows with global coverage, accounting for spatial dependence. Using our model, synthetic flood events are simulated with more information than the limited historical events. This event catalog can be used to produce spatially coherent flood depth maps for flood risk assessment.
Luis-Enrique Olivera-Guerra, Catherine Ottlé, Nina Raoult, and Philippe Peylin
EGUsphere, https://doi.org/10.5194/egusphere-2024-546, https://doi.org/10.5194/egusphere-2024-546, 2024
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We assimilate the recent land surface temperature (LST) product from ESA-CCI to optimize parameters of the ORCHIDEE model. We test different strategies of assimilation to evaluate the best strategy over various in situ stations across Europe. We provide some advice on how to assimilate this recent LST product to better simulate LST and surface energy fluxes from ORCHIDEE. We demonstrate the effectiveness of this optimization, which is essential to better simulate future projections.
Francesco Serinaldi, Federico Lombardo, and Chris G. Kilsby
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-234, https://doi.org/10.5194/hess-2023-234, 2023
Revised manuscript accepted for HESS
Short summary
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Non-asymptotic probability distributions of block maxima (BM) have been proposed as an alternative to asymptotic distributions from classic extreme value theory. We show that the non-asymptotic models are unnecessary and redundant approximations of the corresponding parent distributions, which are readily available, are not affected by serial dependence, have simpler expression, and describe the probability of all quantiles of the process of interest, not only the probability of BM.
Demetris Koutsoyiannis
Hydrol. Earth Syst. Sci., 24, 3899–3932, https://doi.org/10.5194/hess-24-3899-2020, https://doi.org/10.5194/hess-24-3899-2020, 2020
Short summary
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We overview and retrieve a great amount of global hydroclimatic data sets. We improve the quantification of the global hydrological cycle, its variability and its uncertainties through the surge of newly available data sets. We test (but do not confirm) established climatological hypotheses, according to which the hydrological cycle should be intensifying due to global warming. We outline a stochastic view of hydroclimate, which provides a reliable means of dealing with its variability.
Raghavendra B. Jana, Ali Ershadi, and Matthew F. McCabe
Hydrol. Earth Syst. Sci., 20, 3987–4004, https://doi.org/10.5194/hess-20-3987-2016, https://doi.org/10.5194/hess-20-3987-2016, 2016
Short summary
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Interactions between soil moisture and terrestrial evaporation affect responses between land surface and the atmosphere across scales. We present an analysis of the link between soil moisture and evaporation estimates from three distinct models. The relationships were examined over nearly 2 years of observation data. Results show that while direct correlations of raw data were mostly not useful, the root-zone soil moisture and the modelled evaporation estimates reflect similar distributions.
Xiaoyong Sophie Zhang, Gnanathikkam E. Amirthanathan, Mohammed A. Bari, Richard M. Laugesen, Daehyok Shin, David M. Kent, Andrew M. MacDonald, Margot E. Turner, and Narendra K. Tuteja
Hydrol. Earth Syst. Sci., 20, 3947–3965, https://doi.org/10.5194/hess-20-3947-2016, https://doi.org/10.5194/hess-20-3947-2016, 2016
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The hydrologic reference stations website (www.bom.gov.au/water/hrs/), developed by the Australia Bureau of Meteorology, is a one-stop portal to access long-term and high-quality streamflow information for 222 stations across Australia. This study investigated the streamflow variability and inferred trends in water availability for those stations. The results present a systematic analysis of recent hydrological changes in Australian rivers, which will aid water management decision making.
Takayuki Sugimoto, András Bárdossy, Geoffrey G. S. Pegram, and Johannes Cullmann
Hydrol. Earth Syst. Sci., 20, 2705–2720, https://doi.org/10.5194/hess-20-2705-2016, https://doi.org/10.5194/hess-20-2705-2016, 2016
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This paper is aims to detect the climate change impacts on the hydrological regime from the long-term discharge records. A new method for stochastic analysis using copulas, which has the advantage of scrutinizing the data independent of marginal, is suggested in this paper. Two measures are used in the copula domain: one focuses on the asymmetric characteristic of data and the other compares the distances between the copulas. These are calculated for 100 years of daily discharges and the results are discussed.
L. Gudmundsson and S. I. Seneviratne
Hydrol. Earth Syst. Sci., 19, 2859–2879, https://doi.org/10.5194/hess-19-2859-2015, https://doi.org/10.5194/hess-19-2859-2015, 2015
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Water storages and fluxes on land are key variables in the Earth system. To provide context for local investigations and to understand phenomena that emerge at large spatial scales, information on continental freshwater dynamics is needed. This paper presents a methodology to estimate continental-scale runoff on a 0.5° spatial grid, which combines the advantages of in situ observations with the power of machine learning regression. The resulting runoff estimates compare well with observations.
J. P. Boisier, N. de Noblet-Ducoudré, and P. Ciais
Hydrol. Earth Syst. Sci., 18, 3571–3590, https://doi.org/10.5194/hess-18-3571-2014, https://doi.org/10.5194/hess-18-3571-2014, 2014
R. Alkama, L. Marchand, A. Ribes, and B. Decharme
Hydrol. Earth Syst. Sci., 17, 2967–2979, https://doi.org/10.5194/hess-17-2967-2013, https://doi.org/10.5194/hess-17-2967-2013, 2013
E. Arnone, D. Pumo, F. Viola, L. V. Noto, and G. La Loggia
Hydrol. Earth Syst. Sci., 17, 2449–2458, https://doi.org/10.5194/hess-17-2449-2013, https://doi.org/10.5194/hess-17-2449-2013, 2013
B. Li and M. Rodell
Hydrol. Earth Syst. Sci., 17, 1177–1188, https://doi.org/10.5194/hess-17-1177-2013, https://doi.org/10.5194/hess-17-1177-2013, 2013
S. M. Papalexiou, D. Koutsoyiannis, and C. Makropoulos
Hydrol. Earth Syst. Sci., 17, 851–862, https://doi.org/10.5194/hess-17-851-2013, https://doi.org/10.5194/hess-17-851-2013, 2013
A. K. Gain, W. W. Immerzeel, F. C. Sperna Weiland, and M. F. P. Bierkens
Hydrol. Earth Syst. Sci., 15, 1537–1545, https://doi.org/10.5194/hess-15-1537-2011, https://doi.org/10.5194/hess-15-1537-2011, 2011
J. O. Haerter, S. Hagemann, C. Moseley, and C. Piani
Hydrol. Earth Syst. Sci., 15, 1065–1079, https://doi.org/10.5194/hess-15-1065-2011, https://doi.org/10.5194/hess-15-1065-2011, 2011
K. Stahl, H. Hisdal, J. Hannaford, L. M. Tallaksen, H. A. J. van Lanen, E. Sauquet, S. Demuth, M. Fendekova, and J. Jódar
Hydrol. Earth Syst. Sci., 14, 2367–2382, https://doi.org/10.5194/hess-14-2367-2010, https://doi.org/10.5194/hess-14-2367-2010, 2010
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Short summary
In the present study the flood trends have been assessed for a large sample of 171 basins located in southern France, which has a Mediterranean climate. Results show that, despite the increase in rainfall intensity previously observed in this area, there is no general increase in flood magnitude. Instead, a reduction in the annual number of floods is found, linked to a decrease in soil moisture caused by the increase in temperature observed in recent decades.
In the present study the flood trends have been assessed for a large sample of 171 basins...
